International Journal of Business Information Systems (291 papers in press)

Regular Issues

• Understanding the drivers for adoption of Blogs in business  
  by Parag Uma Kosalge, Suzanne Crampton, Ashok Kumar 
  Abstract: Today, blogs are used in businesses for workplace communication and collaboration. They provide unique advantages at the tactical and strategic levels, including directing group work, collective intelligence, and improved business processes. This research empirically examines the perceptions of the new generation towards blogs in the workplace to arrive at five factors that drive adoption: business improvement, business cost, ease of use, internal collaboration and personal use. Business benefits such as generating new customers, and improving communications with customers, employees, and suppliers, find strong recognition. Structural equations modelling show that only four of these five factors influence user's intention to adopt blogging technology. This research is important for academicians as it examines what motivates the modern workforce to adopt blogs. A better understanding of end-user perceptions can help organisations shape initiatives and improve successful adoption. Technology providers can focus on improving performance on aspects important for the business users.
  Keywords: Internet; Web; web apps; Blogs; Web 2.0; benefits; user perceptions; technology; adoption; drivers; communication; collective intelligence.
  DOI: 10.1504/IJBIS.2020.10024539
   
  
• Determinants for Adoption of New Products: An Empirical Study on Smart Phone Customers in Delhi NCR  
  by Navneet Gera, Sangeeta Yadav, Leo Paul Dana, Akshit Mittal 
  Abstract: Innovation is the key to satisfy consumer demand for new and better products. Hence it is pertinent to examine driving factors that affect consumers purchase decisions for technologically advanced new products. This research aims to investigate factors influencing adoption of new products, particularly smartphones. Descriptive as well causal methods of research have been adopted for this research. Researchers have used a self-administered survey for collecting data of customers who have recently purchased smartphones in Delhi National Capital Region (NCR). For this study, with a sample size of 254, convenient sampling has been used due to nature of the research. Key factors have been explained through intention to adopt (12.9%), motivated customer innovativeness (11.1%), financial risk (7.6%), functional innovativeness (7.5%), hedonic innovativeness (7.7%) and customer involvement (7%). In practice, findings of the present study would allow marketing managers in a deeper differentiation of the market and help them recognise highly creative consumer segments; this can, in turn, allow companies to plan effective marketing strategies, thereby leading to success of new products. Results of the study indicate that the eight factors used in the study have considerable influence (69% of total variance) on new product adoption in Delhi NCR.
  Keywords: innovation; new product; risk; customer innovativeness; hedonic innovativeness.
  DOI: 10.1504/IJBIS.2020.10032352
   
  
• The Determinants of ERP User Satisfaction and its Effect on Organizational Performance.  
  by Fadi Qutaishat, Samera'a Al-oqaily, Shadi Khattab, Mohammed Khair Abu Zaid, Luay Anaya 
  Abstract: The purpose of this study is to examine the determinants of user satisfaction with enterprise resource planning (ERP) systems (including project management, organizational culture and training) and its effect on organizational performance. A survey questionnaire was developed and then distributed to Jordanian companies that had implemented ERP systems. A range of statistical tests were used to examine the research hypotheses, including descriptive analysis and structural equation model (SEM). It was evident from the results of this study that project management was the most significant variable that affected user satisfaction with ERP systems, followed by organizational culture and training respectively. Finally, the study identified a positive correlation between user satisfaction and organizational performance.
  Keywords: ERP; user satisfaction; project management; organizational culture; training.
  DOI: 10.1504/IJBIS.2020.10033065
   
  
• Evaluation and Comparison of Various Business Process Management Tools  
  by Victor Chang, Yian Chen, Qianwen Xu, Chang Andy Xiong 
  Abstract: This paper aims to introduce, compare and contrast various commonly used Business Process Management (BPM) Tools (Suites). In the first section, this research reviews the adoption of BPM tools in the industry with some concrete examples and descriptions. The continuous development trend and the benefits of integrating BPM tools into the businesses are presented. The project will then review the academic literature on BPM that would cover BPM's definition, the development of BPM theories, and the associated tools. Three BPM tools, namely Bizagi BPM Suite, ProcessMaker and Flokzu, analyse specifically will be analysed in this paper, in detail with a real business process as an example. A method adjusted from Vuksic et al.'s guidelines for selecting discrete event simulation (DES) tools will be used to evaluate and compare the BPM tools. This paper found that among the tools evaluated, Bizagi and Flokzu have a more intuitive user interface and Process Maker is the least user-friendly tool. Bizagi is recommended for large and middle-sized organizations and Flokzu for smaller organisations.
  Keywords: BPM Suites; Descriptions; Comparison; Model; Bizagi; ProcessMaker; Flokzu.
  DOI: 10.1504/IJBIS.2020.10033487
   
  
• The Moderating effect of Organisational Power on the relationship between Green Human Resources Practices and Achieving Strategic Objectives  
  by Sulieman Al-hawary 
  Abstract: This study aimed to investigate the effect of green human resources practices (GHRP) on achieving strategic objectives in the presence of organisational power. The data for this study were obtained from a questionnaire survey. The population of the study was represented from the academic and administrative staff of Arab Open University. Ninety-three questionnaires were distributed to the participants, and a total of 81 questionnaires were returned and completed and were valid for statistical analysis purposes with a response rate of 87.1%. Exploratory and confirmatory factor analysis, as well as structural equation modelling was conducted, using IBM SPSS 24 and AMOS 22. The results pointed out that there was a significant effect of GHRP on strategic objectives in the presence of organisational power. This study recommends for managers and decision-makers of Arab Open University to increase the adoption of recruitment and selection practices and to enhance the adoption of green training and development practices. This will enable the university to become a point of reference for other universities in performing jobs.
  Keywords: green human resources practices; GHRP; strategic objectives; organisational power; Arab Open University; AOU; Jordan.
  DOI: 10.1504/IJBIS.2020.10033578
   
  
• A Taxonomy of Critical Success Factors based on Players and Activities Across ERP Projects: the Perspective of ERP Vendors  
  by Abdullah Alkraiji, Uchitha Jayawickrama, Femi Olan 
  Abstract: The research into the Critical Success Factors (CSFs) of ERP systems is mainly focussed on the private sector and is carried out from the clients' perspectives; this in spite of the fact that, owing to the greater outsourcing of IT systems of recent years. This study objective is to identify and classify, based on a taxonomy of key players and activities, a set of CSFs for ERP systems from the perspective of national ERP vendors. A multiple-case study of ten ERP vendors was conducted in Saudi Arabia to collect the required data. The thematic analysis identified a list of key factors. These are grouped into three main categories: key players, key activities, and IT capabilities. The conclusions may provide researchers and practitioners, particularly those in developing nations, with a greater understanding of a set of CSFs to better judge and develop suitable strategies for the implementation of process interventions.
  Keywords: Case Study; Critical success factors; Enterprise resource planning; Government organisation; Implementation process; vendors.
  DOI: 10.1504/IJBIS.2020.10033961
   
  
• ORGANIZATIONAL POLITICS AND ENTERPRISE RESOURCE PLANNING IMPLEMENTATION: AN EXAMINATION OF THE INFLUENCE OF POLITICAL SKILLS  
  by Ibrahim Almatrodi  
  Abstract: This study shows how ERP implementers’ political skills influence the ERP implementation in a higher education institution. It employs a qualitative case study methodology, using semi-structured interviews with ERP implementers and employees of one organization to demonstrate how political skills, such as coalition building, the use of power, networking abilities, the use of narratives, and compromise, all play a role in, and have an influence on, the success of ERP implementation. This study employs social influence theory, to inform the data collection and analysis methods, in order to demonstrate how political skills influence the success of ERP implementation. The results demonstrate that political skills primarily influence the decisions made in the implementation of an ERP, and also when facilitating the acceptance of the relevant systems by connecting the goals of all the actors involved, thereby helping to achieve the organization’s satisfaction with the ERP.
  Keywords: ERP; ERP implementation; organizational politics; political skills; social influence theory; case study.
  DOI: 10.1504/IJBIS.2020.10034025
   
  
• Influence of Electronic Word Of Mouth (E-WOM) on Purchase Intention of Mobile Phones through Information Quality: Empirical Evidence from Pakistan  
  by SAMAR RAHI, Abdul Majeed, Shrafat Ali Sair, Abdul Hafaz 
  Abstract: This study aims to investigate the structural effects of electronic word of mouth valence on consumers' online purchase intention in smartphone brands concerning consumer-generated content of the communication. It also studied the mediating effect of initial brand trust between the associations of corresponding factors. The data was collected from the students of public and private universities in metropolitan city Lahore using a structured questionnaire. The electronic word of mouth positive valence has a negative connection with initial brand trust and consumers' purchase intention. The initial brand trust positively affects consumers' purchase intention. Contrary to this, the electronic word of mouth negative valence does not influence initial brand trust and consumers' purchase intention. The study provides directions to marketing managers developing digital marketing strategies, and firms can affect consumers to write online product reviews, rich media reviews in building actionable marketing strategies.
  Keywords: Electronic Word of Mouth; Positive Valence; Negative Valence; Initial Brand Trust; Consumers' Purchase Intention in Smartphone Brands.
  DOI: 10.1504/IJBIS.2020.10034026
   
  
• Assessing the quality of internet financial reporting disclosure in the digital era: towards industrial revolution 4.0 practice  
  by Mathew Bosi, Ag Kaifah Riyard, Nelson Lajuni, Mohd Noor Azli Ali Khan 
  Abstract: The study provides a summary of literature review concerning the measures of internet financial reporting (IFR) quality, involving exploration of 26 literatures from numerous accounting journals from the period of 1999 to 2019. It adopts a methodology to obtain relevant papers that involves the process of identification and screening by matching the paper with justifiable criteria, ensuring that the papers are the most related ones and registered on the Australian Business Deans Council (2019) journal quality list. The study identifies several matters such as concern on the quality of IFR disclosure, variation of measuring instruments used and scope of coverage that may be rooted from IFR practices that are still largely unregulated and voluntary which are beneficial for future research. The study recognizes the collaboration from regulatory bodies especially in reforming accounting standards for better IFR practices in order to enhance IFR quality which is vital in maintaining market efficiency, in line with the practice in Industrial Revolution 4.0.
  Keywords: Literature review; Internet financial reporting; Corporate internet reporting; Measurements; Quality.
  DOI: 10.1504/IJBIS.2020.10034060
   
  
• Blockchain-Enabled Healthcare Data Management: A Potential for COVID-19 Outbreak to Reinforce Deployment  
  by Mohsen Attaran 
  Abstract: Healthcare practitioners are faced with the challenge of accessing, managing, integrating, and sharing health records securely. Current technologies in use by the healthcare industry do not adequately address these requirements due to limitations related to privacy, security, and full ecosystem interoperability. Coronavirus outbreak highlights the need for more health data transparency and a better healthcare data management system that can be used in predicting, preventing, and controlling emerging infectious diseases. Blockchain technology helps solve some of the healthcare data management challenges and help healthcare providers automate medical record mining to aid in data sharing and making more accurate diagnoses. This paper identifies challenges, opportunities, benefits, and drawbacks of the use of blockchain in healthcare data management. The paper also highlights the role Covid-19 plays in accelerating the adoption of blockchain-enabled healthcare data management by governments and businesses.
  Keywords: Blockchain; Peer-to-Peer Network; Compliance Tracking; Healthcare Data; Cyber Security; Electronic Health Records; Interoperability; Coronavirus; COVID-19.
  DOI: 10.1504/IJBIS.2020.10034132
   
  
• Study of E-Services Quality and Customer Loyalty: A Moderated Mediation Model of Perceived Switching Cost and E-Satisfaction  
  by Binod Rajak, Sumanjeet Singh, Shashank Vikram Pratap Singh, Deepika Kumari 
  Abstract: The Internet has given birth to the new industry called Online Retailing which involves buying and selling of goods via the Internet It is hot and fastest-growing industries and is able to grab the attention of retailers as well as customers Despite this tremendous attention, the success rate did not meet the expectations The association between E-service quality (E-SQ) and customer loyalty (CL) has remained ambiguous due to contradictory empirical results and how the relationship between these two variables get affected when E-satisfaction (E-S) and Perceived Switching Costs (PSCs) also comes into the picture There is such study which talks about the moderated mediation effect of PSC and E-S between E-SQ and CL Data was collected from 242 respondents who entertain him/her self-shopping over the internet The results exhibited that all three constructs have strong association along with the mediating effect of E-S but we didn’t find the moderating role.
  Keywords: E-Service Quality; E-Satisfaction; Customer Loyalty; Perceived Switching Costs; Mediation Moderation.
  DOI: 10.1504/IJBIS.2020.10034351
   
  
• Cloud Storage Protection Using Responsive Hiding of Crucial Data and Facilitating Identity-Based Integrity Auditing  
  by Victor Chang, Ashwini Ginnarapu, Lewis Golightly, Qianwen Xu 
  Abstract: To address privacy for cloud storage concerns, we propose remote information trustworthiness reviewing a plan that acknowledges information offering to delicate data stowing away in this literature. Towards this plan, a data-sanitiser is utilised to sterilise client information squares comparing the touchy data from the record & changes that information squares' marks towards legitimate segments of this sanitised document. Thus, integrity auditing could be achieved using pin-signatures for authenticating sanitised files, which facilitates data owners' files to be shared even that contain sensitive data by encrypting crucial data with a clause to safeguard other data users of the cloud in-turn effectively facilitating integrity audit-check efficiently. The major advantage of our proposal is maintaining the individuality of the user among all remote distributed users in the cloud and maintaining the signatures systematic approach. As per the above discussion, the proposed mechanism lets us build a privacy preserved approach effectively and efficiently.
  Keywords: Cloud storage; System design for storage; performance evaluation for storage; Electronic Personal Health Records (EPHRs).
  DOI: 10.1504/IJBIS.2020.10034417
   
  
• Comparison between artificial neural network and linear model prediction performance for FDI disparity and the growth rate of companies in Hungarian counties.  
  by Devesh Singh 
  Abstract: Artificial neural network (ANN) is a growing concept in economics. The objective of this article is to compare the prediction performance of FDI inflow in companies and the growth rate of the companies in Hungarian counties through linear and ANN model. This article examines the regional level data of GDP per capita, urbanisation, market share of foreign investment received companies, labour productivity and agglomeration over the period of 2001 to 2018. Further, this article used the R-Studio platform to analysed the data with resilient backpropagation with weight backtracking algorithm and root mean square error to check the predictability performance between ANN and linear model. The result suggests that ANN has an ability to converge, generalised and learn the growth rate of companies and FDI disparities for forecasting. The scatter plot of performance comparison depicts, ANN framework has better efficiency of forecast compared to the linear model.
  Keywords: neural networks; forecasting; linear model; FDI.
  DOI: 10.1504/IJBIS.2020.10034502
   
  
• RELATIONSHIP MARKETING IN ONLINE RETAILING: A THEORETICAL AND EMPIRICAL ANALYSIS FROM AN INDIAN PERSPECTIVE  
  by Shashank Vikram Pratap Singh, Deepika Kumari 
  Abstract: Seeing the popularity of Relationship Marketing and its benefits, the present study extends the concept in the domain of online retailing. The study deals with the identification of strategies that could be employed by marketers in building and enhancing the relationships with online customers. The study has developed a hypothesised model which contains two layers. Layer 1 consists of constructs under customer perceptions, namely, perceived relationship; perceived interactivity; perceived service quality; perceived risk and perceived switching costs and second layer comprised of two most popular concepts of relationship marketing, namely, e-trust and customer loyalty. The customer loyalty is the behavioural outcome and e-trust is the mediating factor between the constructs under customers perceptions and behavioural outcome of relationship marketing. To conduct the present study, a structured questionnaire was circulated among Indian consumers who actively use online retailing websites. The collected data were analysed using SEM in AMOS and SPSS.
  Keywords: Relationship Marketing; Online Retailing; Structural Equation Modelling; Confirmatory Factor Analysis.
  DOI: 10.1504/IJBIS.2020.10034503
   
  
• An Investigation of factors influencing student satisfaction with MOOCs in the Indian Higher Education System  
  by Devika Rani 
  Abstract: The rapid advances in pedagogical and technological innovations are redefining higher education in the last few decades and traditional universities are facing new challenges. The learning needs of the new genre of students are vastly different from their predecessors as the kind of skills they need to develop for the jobs of the 21st century are distinct. The aim of this paper is to analyze the factors that motivate Indian Higher Education students to look for various online platforms which offer MOOCs. The paper intends to systematically analyse the extant literature on various factors affecting learner satisfaction and propose a model with a specific focus on Indian students and propose a conceptual which can be further tested through statistical analysis.
  Keywords: Student Satisfaction; Course Content; Convenience; Instructor Interaction; Social Presence; Self-Efficacy; Smart PLS; MOOCs; asynchronous,Higher Education.
  DOI: 10.1504/IJBIS.2020.10034521
   
  
• Investigating the effect of a tripod organizational readiness model on organizational digital innovation with moderating role of innovation valance  
  by Hussain Awad, Khaled ABOALGANAM 
  Abstract: The digital innovation have gained legitimacy over the last few decades and proved to be an effective alternative in business operations. Therefore, the current research aims to investigate organizational readiness towards digital innovation with a tripod organizational readiness model which included organizational, technology and environmental factors. Alongside that the moderating effect of innovation valance is studied between digital innovation and firm performance. Data were analyzed with latest statistical approach namely structural equation modeling (SEM). Findings showed a substantial variance R^2 53.8% in digital innovation in organization and R^2 54.5% variance in firm performance. The predictive relevance of the model was tested with Q^2 indicated substantial power to predict digital innovation and firm performance. The IPMA analysis suggests that policy makers need to focus on top management support, IT infrastructure and innovation valance for successful deployment of the digital innovation in organizations which in turn boost firm performance.
  Keywords: Digital innovation; Tripod organizational readiness model; IT infrastructure; Innovation valance Firm performance; Structural equation modeling.
  DOI: 10.1504/IJBIS.2020.10034588
   
  
• An Efficient Regression Test Suite Optimisation Approach Using Adaptive Salp Swarm Optimisation  
  by Arun Agrawal, Ankur Choudhary, Hari Mohan Pandey 
  Abstract: Software keeps evolving to increase Return on Investment (ROI) in software development. This gives rise to continuous testing in order to keep the software operational for a longer period and has become a major challenge for software industry. To address this issue, we need to optimise the regression testing cost. However, many heuristic and metaheuristic approaches have been proposed in literature, yet there is room for improvement as they suffer from the problems of high computational cost and questionable testability. In this paper, authors propose an Adaptive Salp Swarm Optimisation algorithm to solve Regression Test Suite Optimisation Problem and is an enhancement of Salp Swarm Optimisation algorithm. Extensive experiments are conducted on benchmarked open source testing datasets to evaluate the performance of proposed approach and have been compared statistically with state of the art approaches - Bat, Salp Swarm, and Cuckoo Search with respect to Fault Detection Effectiveness and Execution Time.
  Keywords: Regression Testing; Test Case Selection; Heuristics; Metaheuristics; Nature Inspired Approach; Adaptive Salp Swarm Optimisation; Salp Swarm Optimisation; Bat Search Optimization; Cuckoo Search.
  DOI: 10.1504/IJBIS.2020.10034795
   
  
• A framework for data and device protection on mobile devices using logic encryption  
  by R. Dhanalakshmi, Manjith B.C 
  Abstract: Importing of mobile devices and usage of open source operating system/software makes mobile devices more prone to malwares. Vulnerabilities in hardware such as hardware Trojans cannot be detected and hence opens a high security gap. In order to tackle the hardware and software vulnerabilities in mobile devices, a new hardware platform should be introduced. The paper proposes a hardware technology for mobile devices that can create custom hardware on the device. The custom hardware is encrypted at logic level in order avoid all hardware/software threats. Only the applications with appropriate decryption code embedded can alone unlock the hardware and can execute. The security property is analysed using mathematical modelling and found that there is increase in 10% security index during each step of security addition compared to related works.
  Keywords: mobile devices; hardware platform; logic encryption; key gates; custom hardware.
  DOI: 10.1504/IJBIS.2020.10035043
   
  
• A validation of a multidimensional cyberloafing scale using partial least squares - structural equation modelling (PLS-SEM)  
  by Kian Yeik Koay, Pang Kiam Lim, Wei Ying Chong 
  Abstract: The purpose of this research is to validate the cyberloafing scale proposed by Akbulut et al. (2016). Specifically, the reliability, validity, and dimensionality of the cyberloafing scale are assessed using partial least squares structural equation modelling (PLS-SEM). An online survey was administered to employees working in public listed companies in Malaysia (n = 255), who have a personal computer and internet access at the workplace. SmartPLS 3 software was used to validate the cyberloafing scale. The findings showed that the cyberloafing scale by Akbulut et al. (2016) was comprehensive, valid, and reliable. All items loaded appropriately on their assigned dimension constructs; thus, proving construct validity. Each dimension construct showed high internal consistency, where their average variance extracted values were greater than 0.5; thus, proving reliability and convergent validity. Based on the results from a confirmatory tetrad analysis, it should be modelled as a reflective-formative construct. Future studies are highly encouraged to use this scale. Overall, the cyberloafing scale by Akbulut et al. (2016) is a valid and reliable instrument that can be used formally to assess employees’ cyberloafing behaviour.
  Keywords: cyberloafing; cyberslacking; PLS-SEM; scale validation; construct validity; convergent validity; confirmatory tetrad analysis; higher-order analysis; Malaysia.
  DOI: 10.1504/IJBIS.2020.10035045
   
  
• Understanding users’ perceptions of security in mobile devices using the two-step cluster analysis  
  by Nelson T. Agu, Joshua Chukwuere, Tlhalitshi Volition Montshiwa 
  Abstract: Mobile devices in the world today are owned by the poor, the average, and the rich. This means that mobile devices are now being owned by an unprecedented number of people with different behaviours, thereby increasing the security challenges of using these mobile devices. This paper focused on mobile technology's daily use by 142 students studying at the North-West University (NWU), Mahikeng, to determine their risk and their perception of mobile security. The study implemented a descriptive quantitative method using SPSS. A data mining method, the two-step cluster analysis, was used to segment the students into groups describing their risk profiles and their mobile security perceptions. The study revealed some lack of awareness and knowledge about mobile device security risks by students. Several recommendations were made for mobile device users and manufacturers in order to probe the likelihood of falling prey to security risks.
  Keywords: awareness; devices; internet; malware; mobile; mobile; security.
  DOI: 10.1504/IJBIS.2020.10035059
   
  
• Acceptance of wearable health technologies: a mapping of the state of the art  
  by André P. Freire, Gustavo Lopes Dominguete, Marluce Rodrigues Pereira 
  Abstract: The objective of this systematic mapping study was to examine methods of acceptance evaluation in wearable health systems and which aspects most commonly impact the use of these systems. This review was performed on Scopus, Web of Science and PubMed, covering usability and acceptance of wearable systems. The search started from 386 papers, with a total of 20 included in the study. This study showed a predominance of the use of TAM and SUS methods with questionnaires. The most frequent types of applications were fall detection and monitoring of physical activities. The number of studies on monitoring of physical activities may be due to the availability of smart bands and smartwatches in the market. The constructs with the highest impact on adoption were
  Keywords: e-health; information management; technology; business administration/economics.
  DOI: 10.1504/IJBIS.2020.10035178
   
  
• Financial Inclusion Dataset Classification in Eswatini using Support Vector Machine and Logistic Regression  
  by Stephen Gbenga Fashoto, Boluwaji Akinnuwesi, Elliot Mbunge, Andile S. Metfula 
  Abstract: Small scale enterprises grow with provision of financial inclusion (FI) schemes for entrepreneurs. This widens their capital base; hence invest more and increase employment rate. We focus on Eswatini FI scheme from 2018; applied SVM and LR to classify FI dataset; discovered degree to which small, micro and medium enterprises (SMMEs) within Eswatini access funds. FI dataset was extracted from Finscope database. We selected parameters; classified FI for Manzini, Hhohho, Lubombo, and Shiselweni in Eswatini using LR with 80% split for training; ten-fold cross-validation. Manzini has ten-fold cross-validation recall rate of 69.4% using SVM and 63.4% using LR; optimal performance of the 80% percentage split recall rate of 73% was for Manzini using SVM and 77.8% using LR. The 80% split outperforms ten-fold cross-validation. Findings reflect that Eswatini Government should pay more attention to enhance FI in Hhohho, Shiselweni and Lubombo and consider mobile money as key indicator for FI.
  Keywords: financial inclusion; support vector machine; SVM; logistic regression; confusion matrix; economic governance; small; micro and medium enterprises; SMMEs; Eswatini.
  DOI: 10.1504/IJBIS.2020.10035234
   
  
• Understanding user behaviour through sentiment analysis: an exploration through online reviews and comments  
  by Balaji Kanagasabai, Vaneeta Aggarwal 
  Abstract: This research study is conducted on the Amazon reviews for the book, Thinking, Fast and Slow and the comments on the authors talk about the same on a YouTube video. A total of 585 reviews (12,731 words) about the book from Amazon and 158 comments (4,593 words) for Kahnemans talk on YouTube are analysed using the R software and the word clouds along with the sentiment analyses are done. We found that the word book is highly used in Amazon reviews and the word system is highly used in the YouTube comments. This paved a way for an interesting finding that people who see videos understand the core concepts better than those who read books as the video comments discussed more about systems of the brain. Both the Amazon reviews and YouTube comments have high positive score in sentiment analysis, however, the negative and critical opinions are higher in YouTube comments.
  Keywords: management and technology; word cloud; cognitive psychology; sentiment analysis; R; thinking fast and slow; Amazon; YouTube.
  DOI: 10.1504/IJBIS.2020.10035384
   
  
• How can you manage the knowledge of your projects  
  by Leandro Pereira, Renato Lopes Da Costa, Álvaro Dias, Rui Gonçalves, Ricardo Santos 
  Abstract: This paper has the main objective to present the best ways to manage the knowledge of the projects that your organisation implements and how it can be applied to future projects. Nowadays one of the main competitive factors for an organisation to be succeeded depends on how effectively it can innovate and manage its initiatives. The organisations must measure what it knows and how they transfer their knowledge across the organisation or how the future projects will get the best things that had been applied successfully in the past. This research analyses dozens of methodologies, processes, practices, and systems to present a state of the art and a set of strategies that can be adopted in organisations to improved their continuous learning. The main finding is that is critical for the success of the integration of people, technology, and processes in an embedded way.
  Keywords: knowledge; knowledge management; project management; organisational learning.
  DOI: 10.1504/IJBIS.2020.10035521
   
  
• Social Media Marketing: Practices, Opportunities and Challenges for MSMEs  
  by Vikas Kumar, Pooja Nanda 
  Abstract: As more and more consumers are using social media, businesses are relying upon social media to get in touch with new audience and reinforce their bonding with the existing customers. Social media platforms (SMPs) have emerged as one of the most influential advertising openings in the world and businesses are moving substantial amounts of their marketing budgets to these platforms for greater influence and outcome. However, a major challenge for micro, small and medium-sized enterprises (MSMEs) which exists is how to make best use of this technology offers. This exploratory work examines the practices, opportunities and challenges of using social media as a marketing tool for MSMEs. The key objective is to focus on how an integrated marketing strategy of social media can be developed for small businesses, particularly with the budgetary constraints.
  Keywords: social media; social media marketing; SMM; micro; small and medium-sized enterprises; MSMEs.
  DOI: 10.1504/IJBIS.2020.10035634
   
  
• Still Technology Acceptance Model? Reborn with Exostructure as a Service Model  
  by Poh Soon JosephNg, H.C. Eaw 
  Abstract: Uncertainty and optimisation are challenges that medium size enterprise dreed to balance for IT infrastructure due to their limited resources but forced to digital sustained competitiveness. This blended technique using survey, interview and focus group with dual data test-retest sequential design approach limits grey views and inferences. The study discovered that while many idled infrastructures were invested without much commercial justification and a negative return of investment, IT infrastructure implementation is resilient to market condition. With the EaaS model, it questions the dated usefulness of technology acceptance model by proposing a new adaptable internal IT infrastructure model that will scale accordingly with business performance. EaaS utilised BOINC freeware grid computing centralised processing and storage features, contributed to improved enterprise’s efficiency by enhancing positive financials in the enterprises via enabling better inter-department work coordination hence improving user satisfaction and stronger brand recognition. Practical and theoretical implications are subsequently discussed.
  Keywords: BOINC; cloud computing; economic uncertainty; framework; grid computing; optimisation; resource pooling; small and medium sized enterprise; technology acceptance model; virtualisation.
  DOI: 10.1504/IJBIS.2020.10035765
   
  
• Modeling the Determinants of Consumers Intentions to Use Online Sharing Economy Platforms  
  by Hemant Chauhan, Neha Jain, Sohan Singh Rawat, Saurabh Mishra 
  Abstract: The present study aims to bring perspectives of collaborative consumption into the tourism sector by examining factors that form traveller’s favourable intentions to use sharing economy platforms. This paper investigates consumers’ intention to use sharing economy platforms for booking accommodation. A total of 280 responses were gathered and examined using structural equation modelling. Results suggested that personal innovativeness, perceived usefulness, trust, subjective norm, and attitude are key predictors of consumers’ intentions to use sharing economy platforms. The results provide insights to practitioners in developing effective marketing strategies that may increase customers’ usage of the sharing economy platforms.
  Keywords: collaborative consumption; personal innovativeness; PIO; trust; sharing economy.
  DOI: 10.1504/IJBIS.2020.10035858
   
  
• User-Centric Evaluation of Recommender Systems: A literature review  
  by KRISHNADAS NANATH, MENAHIL AHMED 
  Abstract: Recommender systems have seen a rapid rise of application in various industries, with several services now being implemented online. Over the years, various authors have been researching improving the recommender system’s performance and outcome with various algorithms and evaluation criteria. This research considers users the end consumer of the recommender system and develops a systematic literature review for its evaluation from a user-centric perspective. It first presents the evaluation categories from a system testing view and then presents a novel framework of recommender system evaluation from a user feedback perspective. The study then presents a useful timeline for researchers who intend to use mathematical evaluation metrics in recommender system research. The three-step approach to this literature review will assist future research in getting a focused user-centric view on the recommender system’s evaluation.
  Keywords: recommender systems; timeline evaluation; user feedback; evaluation metrics.
  DOI: 10.1504/IJBIS.2020.10035978
   
  
• Classification of Review Information based on Tourist’s places of Interest in India using Support Vector Machine.  
  by Bharathi G, Anandharaj G 
  Abstract: Enormous researches have been accomplished to look at cost-effective and economical tourist’s places of interest and sightseeing conditions of a place using free and near-real-time information resources such as social media, WebPages, and Maps. This paper shows all the possible information for the development of a tourist or trip planning system are gathered by using the geographic information mining based on their tourist place preferences and gathered information in the selected region. The dynamic review clusters created using support vector machine classifiers are used to recognise the tourist places of rural and urban areas in India that make sure about the accessibility of basic necessary facilities like clear routes, shutting places, etc. Support vector machine is considered as most efficient algorithm to recognise such kind of clusters. Finally, this paper gives valuable suggestions for tourists or tourism planners by using WebPages or social media data.
  Keywords: geographic information mining; support vector machine; SVM; social media; WebPages; OSM; tourism; trip planning.
  DOI: 10.1504/IJBIS.2020.10035982
   
  
• Soft-Computing Method for Settling Land Disputes Cases Based on Text Similarity  
  by Okure U. Obot, Faith-Michael Uzoka, Anietie John, Samuel Udoh 
  Abstract: Incessant delays in the administration of justice in land disputes cases caused by inability to access similar cases often lead people to take laws into their own hands, resulting in wanton destruction of lives and property. In this study, three similarity models, namely: cosine, Jaccard, and text semantic similarity (TSS) and fuzzy logic technology were reviewed and applied to 205 settled cases of land disputes collected from the high court of justice in Ikot Ekpene, Nigeria. Our study revealed that the cosine similarity measure had the strongest correlation, (72%) followed by Jaccard (70%), fuzzy logic (70%) and TSS (63%). Considering this, we recommend fuzzy logic combined with cosine for the building of a legal case-based reasoning system.
  Keywords: text analysis; legal cases; cosine; Jaccard; text semantic similarity; TSS; fuzzy logic; natural language processing; NLP.
  DOI: 10.1504/IJBIS.2020.10036247
   
  
• Determining criteria for evaluating quality of Vietnamese hotel through guest s online reviews  
  by Ha Nguyen Thi Thu, Giang Nguyen Binh, Tuan Tran Minh, Vinh Ho Ngoc 
  Abstract: The national standard measurement system for Hotel is not the same for all country on the world. In the global tourism trend, travellers tend to book hotels online. They are often difficult to choose hotels when there is no common standard for hotels rating. So that, the developing a set of criteria for hotels when booking online is very needed. As Vietnamese hotel, these criteria will help to measure the quality of hotels in Vietnam when joining the online value chain. In this paper, authors use the statistical probability model and Word2Vec to build a set of evaluation criteria through online reviews of guest who had experience. Then, the set of criteria was compared with Vietnam’s national measurement criteria to standardise according to international standards. Online guest reviews data collected from 35 hotels with 4-stars and 5-stars in five major cities of Vietnam and compared with two other methods shown that the proposed method has good results in some criteria such as value, meal, check in, staff and surrounding.
  Keywords: aspect; criteria; Vietnamese hotel; online booking; word2vec; probability; hotel quality; online reviews.
  DOI: 10.1504/IJBIS.2020.10036288
   
  
• Using Deep Learning Methods in Detecting the Critical Success Factors on the Implementation of Cloud ERP  
  by Basem Zughoul, Nidhal Kamel Taha El-Omari, Mohammed Al-Refai 
  Abstract: A research implementation of enterprise resource planning (ERP) systems by medium and large industries is one of the alternatives available to consolidate their competitive position by integrating their activities. Deep learning techniques have been used extensively in the ERP systems for identifying the critical factors making an impact on the usability of SaaS. To predict the success rate of cloud-based ERP systems based on several critical factors, this article carries out a systematic review on the serious factors that influencing the cloud-like ERP systems as well as deep learning models,i.e., recurrent neural networks (RNNs), long short-term memory (LSTM), multi-layer perceptron (MLP) and gated recurrent unit (GRU). Furthermore, two categorical feature selection methods linear discriminant analysis (LDA) and chi-square analysis have been applied to filter the most critical factors. The dataset from 741 scholarly articles based on their conclusions with 26 total features.
  Keywords: artificial intelligence; AI; cloud computing; deep learning; DL; enterprise resource planning; ERP; long short-term memory; LSTM; recurrent neural networks; RNNs; software-as-a-service; SaaS.
  DOI: 10.1504/IJBIS.2020.10036721
   
  
• Cybersecurity Insights in Software Development Organizations: An Empirical study in India  
  by Mitali Chugh, Neeraj Chugh, Abdullah Akhtar 
  Abstract: Cybersecurity risks are socio-technical. Not only technical vulnerabilities impact cybersecurity risks, but human factors are also significant. The present study empirically investigates the relationship between cybersecurity behaviours, internet addiction, technical knowledge, and impulsivity. 530 respondents from Indian software development organisations finished the survey questionnaire and 471 responses were used in the data analysis. The data was collected for four months and analysed utilising statistical measures. The findings of the study reveal that internet addiction, abbreviated impulsivity, and technical knowledge significantly impact cybersecurity behaviour. The outcomes present an additional step in conceptualising the user-specific variances that may manage robust cybersecurity practices, emphasising the requirement to centre-right on effective training and awareness mechanisms.
  Keywords: cybersecurity; impulsivity; internet addiction; technical knowledge; Indian software development organisations; empirical software engineering; India.
  DOI: 10.1504/IJBIS.2020.10036952
   
  
• SIMCOP: a framework for similarity analysis of context histories  
  by Tiago Wiedemann, Jorge Luis Victoria Barbosa, Vitor K. Matter, Lucian Gonçales, Luan C. Nesi, Sandro José Rigo, Kleinner Oliveira 
  Abstract: Ubiquitous computing studies ways to integrate technology into people’s everyday life. It is an area that has been growing in recent years, primarily because of the development of technologies such as mobile computing. A key to the development of these applications is context awareness, which enables an application to self-adapt to the situation in which the user is on. This article proposes SIMCOP, a framework to develop applications based on similarity analysis of context histories. This analysis enables the identification of similar contexts to supply features such as the recommendation of entities and contexts, the entities’ classification, and the prediction of contexts. We evaluated SIMCOP and discussed the results, through two evaluation applications, which suggest effectiveness in analysing the similarity in context histories. The main contribution of SIMCOP was the creation of an extensible and configurable architecture that allows combining different techniques of similarity analysis to find similarities between two sequences of contexts of generic entities.
  Keywords: recommender system; ontology; contexts history; collaborative filtering.
  DOI: 10.1504/IJBIS.2020.10036955
   
  
• Information Technology Project Management: Success, Failure and Risk Factors  
  by Janet Miller, Rany Connolly, Faith-Michael Uzoka, Kalen Keavey, Namrata Khemka-Dolan 
  Abstract: An under-examined determinant of information technology project success is the ability of project managers (PMs) to identify potential risks that could negatively impact a project. Through a quantitative survey of IT project managers and others involved in IT project governance, this study explores how PMs perceive and quantify risk in projects. This study employed the process failure mode effects analysis (PFMEA) approach for analysis of risk categories in common measures related to project success while taking other confounding factors into account. Results show that quality was the most frequently utilised measure of success by PMs with cost being the least utilised. Non-technical risks ranked high on the risk priority number (RPN) scale and require critical attention in the risk planning and monitoring process. Our study supports the conclusion that the perception of risk is influenced by both the size of the organisation and the level of experience of the PM.
  Keywords: IT project; risk factors; success factors; project management; process failure mode effects analysis; PFMEA.
  DOI: 10.1504/IJBIS.2020.10037074
   
  
• Exploring the Performance of Kuwaiti Employees Within the Ministry of Social Affairs and Labor with Respect to the Utilization of the EDRMS System  
  by Faisal Almutairi, Thurasamy Ramayah, Jasmine A. L. Yeap, Ibtisam L. F. H. Almutairi, Bodoor F. Alazemi 
  Abstract: This study used TAM model to examine the Kuwaiti employees’ performance using the electronic document and records management system (EDRMS) within the Ministry of Social Affairs and Labor and introduces the moderating effect of work cooperation on employees’ performance. The data were collected from 345 employees working in the Ministry of Social Affairs and Labor in Kuwait and analyzed using SmartPLS. The result shows an insignificant relationship between perceived ease of use and actual use. Furthermore, the influence of perceived usefulness on actual use was found to be strong and significant. Moreover, actual use powerfully impacts employee performance and work cooperation significantly moderates the relationship between actual use and employee performance. This research provides strong evidence regarding to the definition of key factors influencing employees’ performance using EDRMS. Variables such as facilitating state and perceived compatibility that possess essential roles with the potential to be examined in future research.
  Keywords: perceived usefulness; ease of use; system usage; work cooperation; employee performance; electronic document and records management system; EDRMS.
  DOI: 10.1504/IJBIS.2021.10037229
   
  
• The Study of PGP Web of Trust Based on Social Network Analysis  
  by Victor Chang, Lina Xiao, Anastasija Nikiforova, Qianwen Xu, Ben Liu 
  Abstract: This paper aims to explore the patterns of online interaction of users of the pretty good privacy (PGP) algorithm to identify the most important and influential users in the social network. While PGP is widely used in protecting email privacy, there are some encryption defects that can raise users’ concerns about data privacy and security. It is therefore essential to identify the most influential and active users who are trusted widely, getting numerous keys in the PGP web of trust. However, it is not always known whether the user actually gained trust from others or it is one who illegally forged the keys. In order to identify the most important users in the PGP network, social network analysis (SNA) is used to analyse their online interaction conditions. Along with the most traditional centrality analysis, a less frequent used K-means clustering analysis is also conducted to obtain more precise and accurate results. The SNA results show that: 1) PGP algorithm users’ online interaction patterns are rather different, which include both frequent versus isolated; 2) people with higher centrality use the PGP algorithm more frequently and may become the target peeks to seek; 3) in the analysed network, all important nodes are in the same cluster when applying K-means model to divide the community.
  Keywords: online interaction; online community; pretty good privacy; PGP; web of trust; social network analysis; SNA; centrality analysis; K-means clustering analysis.
  DOI: 10.1504/IJBIS.2020.10037242
   
  
• ROLE OF CONSUMER SUSCEPTIBILITY IN INFLUENCING INFORMATION USEFULNESS  
  by Prerna Garg 
  Abstract: The present study suggests a modified approach to the information acceptance model (IACM) by examining the mediating role of attitude in determining information usefulness. The study also explores the moderating role of consumer susceptibility to interpersonal influence (CSII). It uses a cross-sectional research design by collecting responses through non-probability-based sampling. In order to test the hypothesised relationships, EFA and CFA were carried out, followed by path analysis. The findings indicate that all the direct and indirect effects were significant, thus implying partial mediation. CSII also moderates the proposed relationship between information credibility and information usefulness. The study presents reasonable justification for the mediating role of attitude in adoption of information available in the form of online reviews. It further emphasises that consumers with different susceptibility differ in the way they adopt information even when it is found to be credible.
  Keywords: electronic word of mouth; eWOM; consumer susceptibility to interpersonal influence; CSII; information quality; information credibility; information adoption; information acceptance; attitude.
  DOI: 10.1504/IJBIS.2021.10037550
   
  
• Data Management for Customer Relationship Management: A Web-Based Approach  
  by Dipen Patel, Daniel Asamoah, Wakiuru Wamwara 
  Abstract: This study leverages the registry style to implement a master data management (MDM) system to streamline customer data management in two enterprise resource planning (ERP) systems at a manufacturing company. By developing a web-based data management system using a process-driven, problem-oriented implementation strategy, the study operationalises an MDM system for customer relationship management (CRM) in the company. Managerial lessons related to factors such as: a) change management; b) communication; c) avoidance of middlemen were identified. Additionally, five key technical lessons were identified. A post-implementation review with open-ended survey questions was performed to qualitatively assess the project. Also, using the install base measure and associated cost, we quantitatively evaluated the project. The results indicated that the company exceeded projected efficiency targets which resulted in better user satisfaction and better customer relationship management. We present this research as an experiential study and note its implications for MDM implementations in other contexts.
  Keywords: customer relationship management; CRM; system implementation; agile development; master data management; MDM; data integration; enterprise resource planning; ERP.
  DOI: 10.1504/IJBIS.2021.10037886
   
  
• Key elements to developing mobile applications for the higher educational environment  
  by Mohamed Benaida, Tanweer Alam 
  Abstract: Due to the global pandemic COVID-19, teaching institutes have relied on technological teaching methods to ensure education continues effectively. Thus, the use of mobile applications in higher education has drastically increased over the past few months. As a result, mobile applications were compelled to improve and adapt their services to facilitate for the rapid development of the higher educational field. This research gathered 234 students who previously used the application provided by the Islamic University of Madinah. Computer system usability questionnaire (CSUQ) and the comments of the participants were implemented to evaluate mobile applications. Furthermore, the students believed the application was lacking in implementation and design, thus the need for a complete redesign. Overall, the students negatively assessed the application. Therefore, this research proposes a guideline and framework to exemplify the key elements of a mobile application with the aim to create an efficient and effective mobile application for its users.
  Keywords: HCI; usability; web design; mobile application; education; users experience; computer system usability questionnaire; CSUQ.
  DOI: 10.1504/IJBIS.2021.10037914
   
  
• A novel dynamic feature based co-training approach for identification of complaint tweets  
  by Pranali Yenkar, S.D. Sawarkar 
  Abstract: Sensing civic issues by performing social media analytics has gathered lot of attention owing to social medias fast accessibility and instant reach. Experiences shared on Twitter help government to proactively take timely decisions. However, it becomes very challenging to classify only complaint tweets from excessive tweets. Existing studies used supervised learning algorithm but with manually created training data which is a very laborious process. So we propose a novel co-training semi supervised algorithm using dynamic features to create huge amount of accurate training data by utilising limited labelled samples. Against the existing fixed static features, proposed dynamic features get recalculated using initial and newly labelled data after each iteration of the algorithm until all unlabeled data get labelled and hence become more relevant to distinguish between complaint and non-complaint. Verified on the tweets shared by citizens of Mumbai, result with 94% accuracy and 93% F1 score shows our approach is very promising.
  Keywords: Twitter; urban issues; co-training semi supervised learning; natural language processing.
  DOI: 10.1504/IJBIS.2021.10038028
   
  
• Knowledge Sharing Behaviour on Employee Performance: A Mediating Role of Employee Engagement among Teaching Staff of Malaysian Private Universities  
  by Mohammed Sani Abdullahi, Kavitha Raman, Solarin Adebola Sakiru, Umair Ahmed, Ummi Rahma Shehu, Hauwa'u Hassan Nashehu 
  Abstract: The purpose of this paper is to investigate the effect of knowledge sharing behaviour (KSB) on employee engagement (EE) and employee performance (EP) among teaching staff of Malaysian Private Universities (MPU). However, studies of such have been given less attention within the context of MPU. Therefore, this paper highlights the issue through a systematic review of previous literature on the subject matter. The study outcome indicated that KSB has a significant effect on EP, and EE partially mediates KSB and EP relationship in MPU. The research suggests that university management should focus and invest in KSB culture as a tool to improve EE positively in order to accomplish and maintain EP. This paper has made a significant contribution to the existing body of knowledge and operationalisation of KSB, EE and EP literature which could help to develop theory and model in the field of work performance.
  Keywords: employee engagement; employee performance; knowledge sharing behaviour; Malaysian private universities; social exchange theory.
  DOI: 10.1504/IJBIS.2020.10038297
   
  
• An Investigation into the Acceptance of Mobile Wallets in the FinTech Era: An Empirical Study from Kuwait  
  by Ahmad Rabaai 
  Abstract: Due to the increase popularity of smartphones and mobile devices, mobile wallets (m-wallets) are providing a convenient payment method for customers to complete financial transactions. With an aim to investigate the factors that influence users’ behavioural intention to use m-wallet applications, this study extended the unified theory of acceptance and use of technology (UTAUT2) model. Data from 544 responses was analysed using partial least squares (PLS) of structure equation modelling (SEM). The findings of this study confirmed that users’ behavioural intention towards the use of m-wallet applications is influenced by performance expectancy, effort expectancy, hedonic motivation, facilitating conditions, perceived compatibility, personal innovativeness, individual mobility, trust and perceived risk; though, price value and social influence were not significant. The study suggests several theoretical and practical implications that can provide fruitful insights to both academic researchers and professionals to capitalise on different strategies to attain the anticipated benefits of m-wallet applications.
  Keywords: FinTech; mobile payment; mobile wallet; UTAUT2; technology acceptance; behavioural intention; Kuwait.
  DOI: 10.1504/IJBIS.2021.10038422
   
  
• DEVELOPMENT OF A SCORECARD TO MEASURE THE SATISFACTION AND HAPPINESS IN HIGHER EDUCATION  
  by Dasharathraj K. Shetty, Namesh Malarout, Nithesh Naik, Rajashree Kamath, Annu Duhan, Karthikeyan Parthasarathy 
  Abstract: This study aims to identify and test the antecedents affecting students satisfaction and its relationship with happiness. A conceptual model was designed with the dimensions such as happiness, recognition, gratitude, physical health, and negative emotion to measure students satisfaction. Martin Seligmans theory of well-being was employed to measure the happiness of the students. Data was collected from 202 respondents and a structural equation modelling (SEM) approach was employed for analysis. The results of the study indicate that physical health, gratitude, and negative emotion influence the satisfaction of students in higher education. It was found that positive emotion and relationships have a significant influence on the happiness of the students. A relationship between satisfaction and happiness was developed. In extension to the present studys findings, a model and scorecard are proposed that can be used to measure the happiness and satisfaction of students in higher educational institutions in India.
  Keywords: satisfaction; happiness; PERMA; higher education; scorecard.
  DOI: 10.1504/IJBIS.2021.10038501
   
  
• Role of Big Data Analytics and the Internet of Things (IoT) in Indian Agricultural Supply Chain  
  by Shreyansh Vikram Singh, Jitesh Singh, Shruti Garg, Shantanu Trivedi, Saurav Negi 
  Abstract: This paper intends to determine the role and application of technology, particularly big data, and IoT in the Indian agriculture supply chain, and to present the best practices and learned lessons of technology in the agriculture supply chain. This paper has also analyzed the capability of future inventions to be used in the agriculture supply chain, which would enhance the efficiency of the agriculture supply chain management. Finally, this paper covered how data collection and analysis using IoT devices could unlock new possibilities in the supply chain management of the ever-growing agriculture sector in India. Using big data analytics in the agricultural supply chain would help to overcome the bottlenecks in the agriculture sector. Because every major company uses data analytics and big data in conjunction with the IoT, all we need to do is identify the available tools and model them to be used effectively in the present scenario.
  Keywords: agriculture supply chain; big data analytics; smart agriculture; internet of things; IoT; food supply chain.
  DOI: 10.1504/IJBIS.2021.10038528
   
  
• An Empirical Investigation of Users’ Continuance Intention to Use Cloud Storage Service for Organizational Use  
  by Quang An Ha, Jeng-Chung Victor Chen, Andree Emmanuel Widjaja, Hsin-Yun Chung 
  Abstract: Cloud storage service (CSS) has been widely used by individuals for both personal and organisational usage purposes. While many studies have investigated the CSS, little attention is paid to the users’ post-adoption to CSS, specifically when CSS is adopted for organisational users in performing work-related tasks. Drawing upon two theoretical models, namely: post-adoption theory and the DeLone and McLean’s information systems success model, this study aims to examine critical antecedences of CSS users’ continuance use intention in the context of organisational usages. Valid data were retrieved from an online survey collected by a total of 302 Taiwanese employees who are active CSS adopters, using CSS to assist their work-related performance, then analysed by PLS-SEM approach. The empirical results further affirmed the significant roles of system quality, perceived usefulness, and privacy concerns on users’ continuance intention. Interestingly, findings show that users’ satisfaction doesn’t have a significant impact on continuance intention, whereas information quality, system quality, and service quality are found to have a positive impact on users’ satisfaction. The discussion and implementation are conclusive in the current paper.
  Keywords: cloud computing; cloud storage service; organisational use; post-adoption theory; DeLone and McLean’s information systems success model; privacy concern; security concern.
  DOI: 10.1504/IJBIS.2021.10038640
   
  
• An Integrated Model for Customer’s E-Loyalty: An Evidence from Online Shopping in Vietnam  
  by Vuong Bui Nhat, Giao Ha Nam Khanh 
  Abstract: The purpose of this study is to explore the antecedences and consequences of consumers e-loyalty in the context of online shopping in Vietnam. Using a structured questionnaire, data was collected from 594 consumers who have ever purchased on online shopping websites. Partial least squares structural equation modelling (PLS-SEM) using SmartPLS 3.0 software was employed to discover links between the constructs. The results indicated that a positive impact of website quality on e-loyalty; this relationship was mediated partially through consumer e-trust and e-satisfaction. As a consequence, e-loyalty had a positive association with electronic word of mouth (eWOM). The main findings of this research provided some empirical implications for internet marketers and online retailers in Vietnam. E-vendors should understand the customers expectations and e-loyalty regarding online shopping to attract new customers as well as retain their existing customers.
  Keywords: website quality; e-trust; e-satisfaction; e-loyalty; electronic word of mouth; eWOM; Vietnam.
  DOI: 10.1504/IJBIS.2021.10038794
   
  
• Analysing Inhibitors of Green practices Implementation in Indian companies  
  by Gyanendra Prasad Bagri, Dixit Garg, Ashish Agarwal 
  Abstract: With rapid industrialisation, developing countries are facing environmental issues. These issues affect directly or indirectly human beings, which can be overcome by green practices implementation. Today, every company is trying to implement green practices in its organisation to take competitive advantage as well as due to societal and regulatory pressures. However, due to presence of inhibitors the implementation of green practices in any organisation is difficult. The objective of this work is to analyse the role of inhibitors in implementation of green practices in Indian auto ancillary manufacturing industries. An attempt is made to identify the inhibitors and to analyse their role in green practices implementation. The interpretive structural modelling (ISM) approach has been used to develop contextual relationship among the identified hindering factors whereas, matriced impacts croises-multiplication applique and classment (MICMAC) analysis has been used to determine the driving power and dependence power of the hindering factors.
  Keywords: green practices; green supply chain management; GSCM; inhibitors; interpretive structural modelling; ISM; manufacturing industries.
  DOI: 10.1504/IJBIS.2021.10038801
   
  
• Users’ Trust, Spirit, Flow, and Intention to Reuse e-Mobile Payments: Explained by a Combination of the Attribution and Adaptive Structuration Theories  
  by Sumiyana Sumiyana, Wulandari Agustiningsih 
  Abstract: This study proposes that combining attribution and adaptive structuration theories could explain users intentions to continue to use mobile payments. The users trust and spirit reflect the combination of both ideas. The studys results show that this combination could enhance the users cognitive flow when they make mobile payments. It implies that information and communication technology managers should consider information systems reputations and users faithfulness of appropriation. The reputation that is in the attribution theory suggested that information service officers should always maintain users trust in their business relationships. On another side, the appropriations faithfulness in the adaptive structuration theory implied that information service officers should have strategies to enhance users spirits. Therefore, this study infers that trust and peoples spirits could either complement or alternate other logical reasoning to explain the use of mobile payments. It implies that chief information service officers should emphasise users spirits and trust in a combined fashion. This combination had consequences for developing users experiential knowledge.
  Keywords: continuance; cognitive flow; attribution; reputation; adaptive structuration; the faithfulness of appropriation; trust.
  DOI: 10.1504/IJBIS.2021.10038824
   
  
• Influence of Shoppers’ Attitude and Satisfaction with Smart-Gadgets on Intention to Provide Reviews: Moderating role of Fear of Technological Advances  
  by T. Sai Vijay, Sanjeev Prashar, Chandan Parsad 
  Abstract: Smart wearable gadgets have been popular among consumers because of their use as health monitoring devices and fashion accessory. However, extant literature available lacks enough evidence on the formation of shoppers attitude towards such devices. Extending the theory of reasoned action (TRA), the present study determines the factors that influence consumers attitude towards these devices, further leading to their satisfaction with smart gadgets. The paper also explores the moderating role of fear of technological advances (FTA) in the formation of attitude. Besides this, the study examines users intention to recommend the smart device in online reviews. Hypotheses were tested using structural equation modelling on data collected from 326 respondents. The research indicates the main effect of hedonic values and innovativeness and the significant moderation effect of FTA on attitude. The findings provide smart gadget marketers with useful implications for developing and offering augmented marketing and communication strategies.
  Keywords: intention to write reviews; utilitarian value; hedonic value; innovativeness; fear of technological advances; FTA; smart gadgets; theory of reasoned action; TRA.
  DOI: 10.1504/IJBIS.2021.10038844
   
  
• An Empirical Verification of the Proposed Distributor Marketing Intelligence System (DMiS) Model  
  by Thangaraja Arumugam, Sanjeev M.A., Renju K. Mathai, Boselin Prabhu, Balamourougane R, Jarin T 
  Abstract: Distributors are close to the customers and vital in understanding them; thus act as a serious link in any organisations marketing intelligence system. Distributors are also critical in local adaptation of the companys marketing activities based on the prevalent local conditions, which is essential for market success. The distributor choice-making pattern deals with their selling and marketing parameters everyday choice based on their appraisal of data about competitors, clients, and other local factors (the local market intelligence) helping them adapt to local customer requirements. This study uses a descriptive cross-sectional design to ascertain the reliability and validity of the proposed distributor marketing intelligence system (DMiS) model and to ascertain the degree of responsiveness exhibited by the distributors based on their market intelligence and marketing involvement, among packaged goods distributors. The resultant scale can find application in recruitment and evaluation of channel partners and in designing suitable training programs for them.
  Keywords: scale development; marketing intelligence; localised marketing; distributor marketing intelligence system; DMis; decision-making; distributor involvement.
  DOI: 10.1504/IJBIS.2021.10038860
   
  
• Possible Impact of Video Lecture Capture as an E-Learning Tool: A Case Study of Higher Education of Republic of Korea  
  by Habib Ullah Khan, Madhavi Lalitha, Mahmood Awan 
  Abstract: The world has been advancing by embedding latest techniques in all walks of life. Academia is also following the suit by tailoring the technologies as per the need of the students/learners. However, there are no commonly accepted mechanisms to evaluate them from time to time. Hence, the present study aimed to evaluate the video lecture capturing (VLC) method that is carried out at leading business school of Korea. A structured survey tool is developed to draw the feedback of the students regarding the VLC and 131 responses are collected in this regard. In addition to the responses, the grades of the students before and after deploying VLC are considered to evaluate whether there is any significant influence of VLC and the results are tested at 5% confidence level. A good proportion of students (around 60%) responded positively for the benefits of VLC.
  Keywords: video lecture capture; VLC; technology-oriented education; IT adoption.
  DOI: 10.1504/IJBIS.2021.10038865
   
  
• Requirements of AIS in Building Modern Operating Business Environment  
  by Adel Qatawneh 
  Abstract: Current study aimed at examining the requirements of AIS in building modern operating business environment within retail trading unit in Jordan including malls, hyper market and super markets. Requirements were divided into internal resources including (human resources, IT infrastructure and knowledge sharing) while the other part took into perspective the external resources (technological vigilance, competiveness and market). Total of 150 individuals were exposed to a questionnaire as a tool of study. Results of the current study concluded that the current AIS tools and their techniques used in large retail stores in Jordan meet the needs of the modern business environment due to the ability of these tools to meet the needs of the modern business environment and be a response to it to achieve the goals of the organisation. Also, results of study indicated that both internal and external resources are extremely important but internal resources appeared to be more influential as main requirements for modern accounting operations in organisations. Study recommended that the organisations should use the talents of their existing and intangible organisational capabilities in developing their internal business environment in addition to developing their external tools and means in dealing with clients and competitors.
  Keywords: accounting information system; business environment; vigilance; unstable market; technologies; automated accounting.
  DOI: 10.1504/IJBIS.2020.10038994
   
  
• Improving Churn Prediction using Imperialist Competitive Algorithm for Feature Selection in Telecom  
  by Hossein Abbasimehr, Aram Bahrini 
  Abstract: Customer churn prediction is often formulated as a binary classification task. Feature selection is a significant preprocessing step that can improve the performance of the resulted churn prediction model. Its principal objective is to find a minimum set that eliminates irrelevant or redundant features and increases the performance of learning techniques. This study proposes a new feature selection method that exploits the Imperialist Competitive Algorithm to select the optimal feature set. To evaluate the usefulness of the proposed method, three state-of-the-art filter feature selection methods are selected. Also, we develop a wrapper feature selection method that works based on the genetic algorithm. We conduct the experiments using two churn datasets of the telecommunication industry. The experiments show that the proposed feature selection method considerably improves the performance of the generated models.
  Keywords: data mining; churn prediction; classification; feature selection; wrapper feature selection; imperialist competitive algorithm.
  DOI: 10.1504/IJBIS.2021.10039102
   
  
• The invasion of e-commerce on SMEs: Exploring the impact on the brick-and-mortar experience  
  by Abrar Al-Enzi, Dalal Al-Enezi 
  Abstract: This research examines the adoption of e-commerce by SME businesses in Kuwait. It explains what e-commerce is, and how it is influencing SME businesses to shift towards online applications. In addition, it explains in detail how the roles of human factors, technological or financial factors, environmental factors, safety factors, and the lack of brick and mortar experience influence the use and establishment of an e-business. In this research, qualitative analysis was used to measure the above variables by the conducting of ten semi-structured interviews with Kuwaiti SME business owners. The finding of the analyses concluded that the measured variables mentioned above influence the establishment and practice of e-business in Kuwait, which in turn somewhat affects the brick and mortar experience. The results of this research were based on ten semi-structured interviews. The interviewees were selected using snowball sampling and the interviews were conducted over the phone due to COVID-19, which might have introduced research bias. This research will give SME business owners a wider look at the impact of virtual platforms on their businesses and show how they could benefit from this research by reviewing what needs to be changed to achieve successful business management.
  Keywords: e-commerce; SMEs; Brick and Mortar; performance; Kuwait.
  DOI: 10.1504/IJBIS.2021.10039106
   
  
• Leading the Digital Transformation: A Dynamic Capability Framework Proposal  
  by Raphael Donaire Albino, Miguel Mira Da Silva, Cesar Alexandre De Souza 
  Abstract: Digital transformation has been defined as the capacity of organisations to embed digital technologies in their routines, leading to a change in how they create value for their customers, backed by a rethinking of their whole structure and processes, reshaping their business model. Empirical data and cases reported that just a few companies succeed in digital transformation and go beyond the experimentation and piloting steps. We proposed a framework to generically describe the triggers, enablers, barriers, dynamic capabilities, expected outcomes, and strategic renewal that encompass digital transformation in incumbent organisations. By following a design science research approach, we proposed an artefact demonstrated and evaluated by a group of experts. Our findings revealed that digital transformation is a continuous process of adapting technology and strategy, evolving the business model, building a culture of collaboration, supporting peoples development, creating smart governance structures, and connecting deeply with customers.
  Keywords: digital transformation; information system strategy; dynamic capabilities; design science research.
  DOI: 10.1504/IJBIS.2020.10039182
   
  
• THE RELEVANCE OF INTERNET INFORMATION DEPENDENCY FOR FREQUENT ONLINE BUYERS  
  by A.K.S. Sukumaran 
  Abstract: Buyers increasingly depended on information relating to prices and products from the internet. Information by itself was not useful and recent studies found an overload of information on the internet. The individual characteristics of online buyers determined the usefulness or otherwise of such information in online shopping. The processing style, intuitive or analytical, of a consumer made a difference on the dependency on online information. The present study demonstrated that frequent online buyers did not depend on the internet information when such information was not useful to them. The concept of internet information dependency itself was derived from media system dependency theory (MSD). The present study used an extended model of the technology acceptance model and found playfulness more significant than information dependency in online shopping intention.
  Keywords: technology acceptance model; TAM; media system dependency theory; MSD; internet information dependency; playfulness; perceived usefulness; perceived ease of use; online shopping intention.
  DOI: 10.1504/IJBIS.2021.10039236
   
  
• Tobin’s q and firm performance: MCDM and Clustering based approach for Indian companies  
  by Roma Kumari, Tamal Datta Chaudhuri, Indranil Ghosh 
  Abstract: Tobins q has been interpreted as a forward looking indicator of firm performance. In this paper, we use it as a lead indicator in period t to find out its effect on firm performance in period t + 2. The conceptual framework used in the paper has Tobins q as the indicator of expected firm performance which is manifested through asset turnover ratio, gross profit margin, enterprise value/EBITDA, incremental output capital ratio, returns on retained earnings and free cash flow. Further, we do a size class analysis for the relationships. For a sample set of Indian companies, we seek answers to whether did Tobins q could predict business efficiency, business effectiveness, innovativeness and sustainability. After identifying the partial effects, to improve our understanding of the relationship between the realised variables and Tobins q in one go, we apply a clustering driven multi criteria decision-making model on the realised variables.
  Keywords: Tobin’s q; efficiency; effectiveness; innovativeness; sustainability; multi criteria decision-making model; clustering.
  DOI: 10.1504/IJBIS.2021.10039238
   
  
• Artificial Intelligence in Strategic Business Management: The Case of Auditing  
  by Leandro Ferreira Pereira, Mariana Resio, Renato Lopes Da Costa, Álvaro Dias, Rui Gonçalves 
  Abstract: We live in the era of digital transformation and adopting innovative tools and technologies such as artificial intelligence (AI) seems to be extolling business models and driving optimisation in the processes inherent to their operation. The audit area which is intense in tasks that can be performed by machines, studies emerge showing positive results in the adoption of AI tools. The literature affirms the use of machinery such as AI in business models opens doors to the creation of value in organisations adjacent to this strategy. In order to deepen this contradictory approach between the benefits associated with the adoption of AI and the low rate of use of it, around 200 employees from mostly Portuguese companies were inquired. The research findings allow to understand what kind of work can be transferred for AI automatisation and present a list of technological issues to solve in this transformation.
  Keywords: auditing; innovation; innovation processes; technology adoption; technological change; technological innovation.
  DOI: 10.1504/IJBIS.2021.10039269
   
  
• The relationship between the voluntary disclosure and financial reporting quality of Islamic banks: An empirical evidence from Yemen  
  by Eissa A. Al-Homaidi, Ebrahim Al-Matari, Suhaib Anagreh, Mosab Tabash, Nabil Ahmed Mareai Senan 
  Abstract: This study aims to empirically investigate the influence of voluntary disclosure on financial reporting quality of Islamic banks in Yemen. The study uses an un-weighted disclosure index, comprising 266 items. Financial reporting quality (FRQ) is measured by two models namely, Jones (1991) (FRQJONM) and Dechow and Dichev (2002) (FRQDDMD), while voluntary disclosure level is considered as an independent variable. The results show that FRQJONM has a significant effect on financial ratio (FINRAT), financial statement information (FINSTIN), corporate social disclosure (CORSD), and other information (OTHINF). With regards to FRQDDMD, the outcomes indicated that general knowledge (BAISCG), financial ratio (FINRAT), other information (OTHINF), and bank size (BANSIZE) have a significant impact on FRQDDMD. The study has significant implications in developing economies for both individual and financial institutional investors, regulators, and policymakers. The study adds a new contribution to Islamic finance industry, particularly in Yemen and for all other countries interested in the Islamic way of finance.
  Keywords: Islamic banking sector; financial reporting quality; FRQ; voluntary disclosure level; Yemen.
  DOI: 10.1504/IJBIS.2021.10039271
   
  
• An Innovative Cost Taxonomy: Identifying and Classifying Costs of Technology Solutions  
  by Yeimi Pena, Dario Correal, Eduardo Miranda, Oscar Gonzalez 
  Abstract: Financial analysis of technology solutions is a crucial activity to determine the advisability of an IT investment. This analysis requires identifying and classifying the costs of the technology solution to support decision-making processes. Although previous research has developed cost taxonomies that support the identification of costs, companies still face difficulties due to technology diversity, the generic cost categories, and insufficient guidance for use. There is a need for supporting investment decisions and mitigating cost omissions and cost overruns. To address this gap, a cost taxonomy that provides the means to identify and classify costs of a technology solution is required. We propose a taxonomy that fits with the particular needs of technology solutions considering the technology deployment model, technology services required, and its life cycle phases. We evaluate the proposed taxonomy and the results demonstrating benefits that comprise lowering the risk of cost omission and increasing detail of the costs.
  Keywords: cost taxonomy; technology investments; financial analysis; solution architecture; design science research; technology services; cost analysis.
  DOI: 10.1504/IJBIS.2021.10039304
   
  
• Comprehensive Survey on Modern Technologies for Improved Bank Credit Risk  
  by AISHWARYA KUMAR, Ankita Srivastava, Puneet Kumar Gupta 
  Abstract: This paper gives a coordinated literature study on present-day technology innovations in bank credit risk to recommend a superior comprehension of the extant status of the application of artificial intelligence and machine learning models. An investigation is performed employing data in journals, articles, and certain thesis. The existing systematic literature review (SLR) is steered by research questions that incorporate the recognisable proof of advancements, data science algorithms, and the utilisation of high-tech models in evaluating credit risk in banks. The outcome identifies the forms and engagement of current financial technology in default risk. It intends to create a taxonomy of financial technologies and amass information in the fields of credit underwriting, exposure estimation, text mining, blockchain, and the use of artificial intelligence in credit risk management. The paper will conclude with future research agendas and directions to transform the customary financial framework.
  Keywords: credit risk; banks; machine learning; credit models; artificial intelligence; systematic literature; modern technologies; fintech.
  DOI: 10.1504/IJBIS.2021.10039308
   
  
• Dynamic fuzzy clustering algorithm using cumulative cost curve with application to dynamic customer segmentation  
  by Sivaguru Munusamy, Punniyamoorthy Murugesan 
  Abstract: Dynamic customer segmentation (DCS) is a useful tool for managers to update customer segments with new information continuously. One of the algorithms introduced in the literature for DCS is the dynamic fuzzy c-means (DFCM) clustering algorithm. We have proposed a cumulative cost curve method for the DFCM algorithm to overcome its shortcomings. Besides, we have also modified the existing structure strength expression used in the DFCM algorithm. Extensive experiments were conducted using a retail supermarket dataset with 11 new data updates to assess the performance of the proposed method in comparison with the DFCM and modified dynamic fuzzy c-means (MDFCM) algorithms. Finally, a DCS framework that could be used as a tool by managers is proposed to show the usefulness of the DFCM algorithm in the application domain, and it is demonstrated through a case study.
  Keywords: dynamic fuzzy c-means; DFCM; dynamic customer segmentation; DCS; RFM analysis; cumulative cost curve; clustering error.
  DOI: 10.1504/IJBIS.2021.10039499
   
  
• Individual and Technological Factors Affecting the Adoption of Enterprise Resource Planning (ERP) Systems in the Jordanian Banking Sector  
  by Mohannad Al Shbail, Zaid Jaradat, Mohammad Bany Baker, Mohammad Almuiet 
  Abstract: This paper proposed a framework of the drivers of Enterprise Resource Planning (ERP) system adoption in the banking sector of Jordan, based on the UTAUT model. The study objectives were achieved by involving 150 managers and heads of department to which questionnaire copies were distributed to in 13 banks that employed the ERP system. On the basis of the findings, the factors that drove the ERP system adoption among the examined banks were self-efficacy, attitude, perceived usefulness and perceived ease of use. The findings further indicated that ERP adoption leads to the enhancement of banks performance and that attitude, self-efficacy, perceived usefulness and perceived ease of use can be manipulated to enhance such performance through their influence on the adoption of the system. It is expected that framework is used in banks as a guide to promote and facilitate the major drivers of ERP adoption.
  Keywords: enterprise resource planning; ERP; individual factors; technological factors; banking sector.
  DOI: 10.1504/IJBIS.2021.10039500
   
  
• The Impacts of Human Resource Development on Performance of Manufacturing Companies in Jordon: Mediating Role of Dynamic Capabilities  
  by Lina Al-Abbadi 
  Abstract: The aim connected with the current research is to examine the impact of human resources (HR) development such as performance appraisal, compensation practices and career advancement on the performance of manufacturing companies in Jordan. The purpose of the research also shows the investigation of the mediating role of dynamic capabilities among the nexus of HR development and the performance of manufacturing companies. The data was collected by non-random sample consisted of 290 questionnaires from the HR department of the manufacturing companies with respondent rate of 67.44%. The structural equation modeling (SEM) was executed through AMOS program for the analysis and testing the research hypothesis purposes. The results revealed that all the dimensions of HR development such as performance appraisal, compensation practices and career advancement have positive linkage with the performance of manufacturing companies. The findings also revealed that DC have played a positive mediating role among the nexus of HR development and the performance of manufacturing companies. These findings have provided the guidelines to the higher authorities of manufacturing companies that they should focus on the development of HR practices along with the DC that enhance the performance of the organisation.
  Keywords: human resource development; dynamic capabilities; career advancement; organisational performance.
  DOI: 10.1504/IJBIS.2021.10039503
   
  
• An empirical investigation of the determinants influencing cryptocurrency adoption in Kuwait  
  by Ahmed E. Elmorshidy, Issam A.R. Moghrabi, Mohamed Mahmoud Moustafa 
  Abstract: Although cryptocurrency’s popularity has increased exponentially, virtually no studies have investigated the factors influencing its adoption in developing countries. This study uses the unified theory of acceptance and use of technology (UTAUT) model and the technology acceptance model (TAM) to investigate consumers’ intention to adopt cryptocurrencies in Kuwait. The variable sets considered included demographic variables such as gender, age, educational level, income, and several cognitive and attitudinal variables such as performance expectancy, effort expectancy, facilitating conditions, social influence, perceived usefulness, perceived ease of use, and attitudes. Based on a large sample of 462 respondents, the study employs hierarchical linear regression to show how it is possible to identify various dimensions of cryptocurrencies’ intentional usage behaviours. For example, performance expectations, facilitating conditions, perceived usefulness, and perceived ease of use have been found to be positively linked to consumers’ adoption of cryptocurrencies.
  Keywords: cryptocurrencies; Bitcoin; technology acceptance model; TAM; Kuwait.
  DOI: 10.1504/IJBIS.2021.10039571
   
  
• Investigating the Role of Consumers Participation in Social Media Marketing Communications and Consumer Loyalty in the Tourism Industry  
  by Bijay Kushwaha 
  Abstract: The radical innovation in social and digital marketing techniques has created a very dynamic platform to gain consumer loyalty. Consumer loyalty helps to gain new consumers and retain existing consumers for a longer period. Loyal consumers also spread positive word of mouth and influence others to buy the company’s products. This paper aims to find out the elements of social marketing communications that play important role in gaining consumer loyalty. The elements such as expressive message, customer co-creation, and consumer engagement have been considered for this study. The purposive sampling technique was used to select and interview 392 respondents of the Himachal state of India. The findings suggest that consumer engagement is the most important elements of social media marketing communication to gain consumer loyalty followed by posting expressive messages on the company’s social media page. The implications of the study are discussed.
  Keywords: social media; customer co-creation; consumer loyalty; consumer engagement; consumer loyalty.
  DOI: 10.1504/IJBIS.2021.10039692
   
  
• Information systems project managers technical competences  
  by João Varajão, Nilton Takagi 
  Abstract: Project managers technical competences are crucial for achieving success in information systems (IS) projects. Several variables can influence the perceived importance of these competences, such as the project managers education, training, experience, organisational context, among others. This paper aims to determine the most important technical competences of information systems project managers, as well as to identify the influencing variables. Results of our international web-based survey of IS project managers highlight the importance of competences like communication, project requirements and objectives, teamwork, interested parties (stakeholders), and scope and deliverables. Results also show the relevance of project managers experience since it influences the perceived importance of 45% of the competences under study.
  Keywords: information systems; projects; project manager; project management; technical competences.
  DOI: 10.1504/IJBIS.2021.10039704
   
  
• Extending UTAUT through Moderating Effects of Trust  
  by Abdulsalam Mas'ud, Nor Aziah Abd Manaf, Natrah Saad, Abdurrahaman Adamu Pantamee 
  Abstract: Conflicting findings from electronic tax filing (e-filing) acceptance models highlight the need to gain theoretical insights for better explanation on these inconsistencies. Trust is one of the important variables in accepting new technologies, and relevant in social contract such as taxation. However, its integration into research models has been mostly through mediation analyses; its usage as moderator has been scant in the literature. This study extends UTAUT through the examination of the moderation effect of trust in e-filing software. Quantitative methodology was adopted through a survey of 132 micro-entrepreneurs in merchandising sector in Northwestern Nigeria. The data from the sample was analysed using partial least squares-structural equation modelling (PLS-SEM). It was found that trust in e-filing software moderates the relationship between performance expectancy, effort expectancy, social influence and e-filing acceptance. The study expands UTAUT through moderating effects of trust in e-filing software. The findings could benefit policymakers and would open window for exploring other moderating variables relating to e-filing adoption.
  Keywords: e-filing acceptance intention; effort expectancy; performance expectancy; social influence; trust in e-filing software.
  DOI: 10.1504/IJBIS.2021.10039705
   
  
• Consumers’ intention to use self-checkout technology in a retail context: A comparison of alternative competing models  
  by Nasir Abdul Jalil, Kian Yeik Koay 
  Abstract: The purpose of this study is to investigate consumers’ intention to use self-checkout system in a retailing context using three different theories, namely the theory of planned behaviour (TPB), the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). This study used cross-sectional data collected from university students (N=283) to validate the proposed hypotheses to compare the multiple theoretical models by using partial least square structural equation modelling (PLS-SEM). Results showed that the UTAUT outperformed the TPB and the TAM in terms of predictive power. This study contributed to the body of knowledge by investigating the explanatory power and predictive relevance of three different theoretical models in understanding and predicting consumers’ intention to use self-checkout within a retailing context.
  Keywords: Self-service technology; Theory of planned behaviour; Technology acceptance model; Unified theory of acceptance and use of technology; Model comparison; PLS-SEM; Malaysia.
  DOI: 10.1504/IJBIS.2021.10039746
   
  
• Modelling E-Supply Chain Processes in SMEs: The Impact of RFID as a key IOT Technology  
  by Omneya Kandil, Rasha Abd El-Aziz, Meer Hamza 
  Abstract: The Egyptian Government is paying a great attention to small and medium enterprises (SMEs) and their role in the economy. SMEs face a lot of challenges which prevent them from operating in an efficient manner. This research aims to explore the current performance of Egyptian SMEs and the impact of adopting the available technologies. Mixed methods approach was used, where interviews were conducted at fourteen Egyptian SMEs. The supply chain process was observed at six of them. ElMadina enterprise was chosen as a representative sample, and its process was analysed and modelled in order to visualise, specify, construct, and document the system in an effective way. Results show the inefficiencies that face SMEs. However, the investigation concludes that adopting Internet of Things technologies such as RFID may help eliminate theses efficiencies.
  Keywords: e-supply chain; small and medium enterprises; SMEs; unified modelling language; UML; internet of things; IoT; radio frequency identification; RFID.
  DOI: 10.1504/IJBIS.2021.10039785
   
  
• The role of contextual factors in moderating the performance impact of ERP systems: An empirical analysis  
  by Mohammed Nour 
  Abstract: Ascertaining the benefits from investments in ERP systems continues to be a largely inexplicable research problem, complicated by numerous external contextual variables and internal organisational factors. This study examined the role of industry type, geographic scope, firm size, and time elapsed as contextual variables moderating the significant antecedent influence of top management support and user training and education on ERP-induced benefits and overall firm performance. Using a sample of 200 organisations and structural equation modelling, we confirmed the antecedent effect of both top management support and user training and education on ERP-induced task and process efficiency, and integration and coordination, as direct predictors of overall firm performance. Task and process efficiency was in turn found to have a significant direct effect on overall firm performance, but integration and coordination were not. Our findings also confirmed the significant moderating effects of all the four contextual variables industry, scope, size, and time elapsed. Implications for research and practice are discussed.
  Keywords: enterprise resource planning; ERP-induced benefits; firm performance; contextual factors; moderating variables; antecedents.
  DOI: 10.1504/IJBIS.2021.10039813
   
  
• Prioritization of Disaster Recovery Aspects through DEMATEL Technique  
  by Avinash K. Shrivastava, Chetna Choudhary 
  Abstract: In the modern era, the associations dependency on information technology has taken a giant boost to improve operations with superior performance. This increases the demand for uninterrupted IT services to intrigue towards disaster recovery measures. For many decades, there have been enormous investments in hard science and no corresponding levels of support for endeavours to understand vulnerability. Disaster recovery plays a crucial role from failures, human mistakes and its unpredictability nature. This work demonstrates the application of multi-criteria decision making (MCDM) approaches in the form of the decision-making trial and evaluation laboratory (DEMATEL) method to identify and prioritising disaster recovery attributes for betterment. This effort will be supportive for practitioners in deciding the ranking of such attributes with greater perception so that appropriate preventive /corrective action should be taken well in time to make the entire system capable of handling such circumstances.
  Keywords: business continuity; disaster recovery; DEMATEL; prioritisation.
  DOI: 10.1504/IJBIS.2021.10039814
   
  
• Stress and Coping: Technological Perspective from Indonesian Higher Education  
  by Ansar Abbas, Aisha Anwar, Muhammad Saud, Dian Ekowati, Fendy Suhariadi 
  Abstract: The implementation and resolution of human behaviour science in judgment stresses upon strategic solution. Particularly when it comes to inevitable change like the Indonesian Government introduced a variety of initiatives for digital transformation. The widespread development of modern technology, although helping at large, producing stress, overload, uncertainty, and complexity as possible adverse psychological effects on the health of students. The current study undertakes enormous challenges to merely recognise the complex phenomena of correctly identifying technology stress, direct response to naturally adopt coping strategies, social-psychological influence through a causal framework. The empirical data processed and computed in SPSS and Warp PLS for path analysis and investigating causal relationships. The results revealed that conscious choice of problem-solving and religious coping tended stronger among other strategies, while social capital and psychological wellbeing were required to combat the dark side of technology. Strategies for decision support system have been discussed.
  Keywords: technostress; social capital; strategies; decision support; coping strategies; higher education.
  DOI: 10.1504/IJBIS.2021.10039815
   
  
• Analysing the Cloud Efficacy by Fuzzy Logic  
  by Aveek Basu, Sanchita Ghosh, Sraboni Dutta 
  Abstract: Cloud computing signifies an evolutionary step in the world of information technology as it provides multitude of advantages over traditional model. The fuzzy rule-based assessment of the cost benefit analysis for cloud computing provides effective cost management to the organisations. In addition to that, the current generation entrepreneurs are inspired to start new ventures with minimum financial strength. Therefore, effective cost benefit analysis became an integral part of cloud migration nowadays. Benefit of moving to cloud platform depends on numerous features like partial utilisation, data duplication, lower capital expense, frequency of new tool usage, variable workload, multi tenancy, scalability, flexibility, etc. In this research, three fuzzy inputs probability of data duplication, capital expenditure and probability of workload variation are considered among the above parameters as fuzzy inputs to determine the cost benefit in moving to cloud.
  Keywords: cost benefit; fuzzy modelling; capital expenditure; Capex; workload variance; data distribution; cloud computing.
  DOI: 10.1504/IJBIS.2021.10039947
   
  
• Examining the role of diffusion of innovation theory and human resource practices towards employees innovative work behavior with moderating role of technology capabilities  
  by THAIR ABED ALRAHMAN HABBOUSH, Mohammad Ali Yamin 
  Abstract: The current research aims to deepen the knowledge on the mechanism of employee innovative work behaviour with the integration of human resource practices and diffusion of innovation theory. Data were analysed with 339 responses retrieved from employees working in small medium enterprises. Findings revealed that information sharing, recruitment and selection, compensation, training and development, supervisor support, innovativeness and compatibility explained substantial variance R2 0.769% in employee innovative work behaviour. Statistical findings confirmed that the moderating relationship between employee innovative work behaviour and organisational performance will be stronger when technology capability is higher. Theoretically, this study contributes to diffusion of innovation theory and human resource practices model. In terms of practice, results suggest that human resource practitioner and policy makers should focus on firm technological capabilities and training and development programs to boost employee attitude towards employee innovative work behaviour and organisational performance.
  Keywords: employee innovative work behaviour; human resource practices; diffusion of innovation theory; innovativeness; technology capability; organisational performance.
  DOI: 10.1504/IJBIS.2021.10040191
   
  
• Investigating the role of diffusion of innovation theory, environmental pressure, and organizational capabilities towards adoption of digital technologies  
  by Bader Alyoubi, Mohammad Ali Yamin 
  Abstract: The rapid change in global environment, digital transformation and customer preference had built unprecedented pressure for organisation to adopt digital technology. In this essence, the current research investigates factors which influence employee behaviour to adopt digital technology. Data were analysed with structural equation modelling (SEM). Findings indicate that the integrated research model has substantial variance R2 80.1% in determining employee behaviour towards adoption of digital technology. The effect size analysis (f 2 ) reveals that compatibility has the highest impact in measuring employee adoption behaviour towards digital technology. Importance performance matrix analysis suggest for organisation performance constructs like employee behaviour to adopt digital technology, compatibility, mimetic pressure and management support are core constructs for managerial consideration. This research has several contributions to theory and practice. This study is unique as it develops and integrated model that underpinned technological organisational and environmental factors to investigate employee behaviour towards adoption of digital technology.
  Keywords: innovativeness; compatibility; strategic road-mapping; knowledge competency; behavioural intention to adopt digital technology; IT infrastructure; structural equation modelling.
  DOI: 10.1504/IJBIS.2021.10040207
   
  
• Analyzing Accessibility in E-Wallet Apps for the Elderly  
  by Navamani T. M, Salonee Gupta, Shreya Ghai, Rishab Gupta 
  Abstract: The increasing access to technology has made the number of mobile internet users shoot up exponentially. Today, there is an app for everything. While these apps have been useful to the majority of their users, they are not all inclusive of the elderly or people with disabilities. This is a major concern with respect to e-wallet applications due to their rising demand as the most popular mode of payment. This is the problem addressed in this research study. An online survey and a multi-case study have been conducted to investigate how e-wallet apps are being used on a daily basis. A product requirement analysis has been conducted to understand important features for the elderly demographic of users. Using this data, design recommendations and guidelines have been provided through a prototype design. It is concluded comprehensively on the changes that future application designers need to focus on incorporating all the basic and the user-friendly payment features.
  Keywords: accessibility; mobile applications; assistive devices; smartphones; design guidelines; human computer interaction.
  DOI: 10.1504/IJBIS.2021.10040208
   
  
• A Literature Review on Use of Social Media in Job Performance: Social Capital and Self-Efficacy  
  by SATINDER KUMAR, Pooja Rani 
  Abstract: In the advanced period, there are numerous articles and exploration papers identified with the utilization of web-based media that are quickly developing in each circle of life. In the paper, systematic literature review analysis has been done to survey the role of social media in social capital, self-efficacy, and job performance. As a result of the systematic literature review total of 70 relevant articles have been found from forty-two journals. The principle focal point of the current analysis is to recognize the effect of online media on job performance and the mediation effects of other factors identified in the study. The outcomes show that numerous examinations have been done in various nations and these investigations have a place with the time of 2001 to 2020. In light of the examination, one model has been proposed showing the relationship and impact of mediation.
  Keywords: Social media; social networking sites; online communication; social capital; self-efficacy; job performance.
  DOI: 10.1504/IJBIS.2021.10040218
   
  
• Understanding technological acceptance to minimize possible risks on Electronic Payment Systems in Indian Customers' Perspective  
  by Anitha Kumari 
  Abstract: Innovations in electronic payments to improve value, offer better customer experience and adopt digital technology encourages the emergence of innovative payment methods and become a cornerstone for safe and secure transactional aspects of online payments. This study intends to propose a research framework that examines the effects of influential factors on the adoption of electronic payment systems (EPSs) mediated through customers' perspectives. The results of the factor analysis and multiple regression analysis revealed that perceived usefulness, security, ease of use, anonymity, and efficiency have significant influences on consumers' perception of e-payment. However, insignificant results were obtained for trust, risk, reliability, convertibility, traceability and applicability. The findings of the study indicate that the majority of the respondents confirm that there is a potential risk to use online services that deters using an electronic payment system. This study empowers that e-payment service providers and regulators need to bring new technologies like blockchain technology, cryptocurrencies that supports electronic cash system for safe transactions and secure money flow in the e-world.
  Keywords: technology innovation; electronic payment; technology acceptance model; TAM; consumer perception; perceived usefulness; perceived ease of use; security; trust; anonymity.
  DOI: 10.1504/IJBIS.2021.10040233
   
  
• A Longitudinal perspective of mHealth Services: The Impact of Trust and Perceived Usefulness  
  by K. Anil Babar  
  Abstract: Consumer beliefs like trust are considered as significant determinant of mHealth services adoption. However, very few research has focused on how consumer trust in mHealth services evolves over time. And research has not yet measured the potential role of trust or how early-trust might influence the post-adoption and usage. To fill this gap, this study has drawn on extended valence theory and expectation-confirmation theory in a longitudinal study of trust in mhealth services. This study examined how other beliefs of the consumers (perceived usefulness) interacts with trust and how these beliefs together impacts the users’ behaviour and intention concerning mHealth services at both pre and post usage. Data were collected from the university student’s pre and post usage with the duration of eight weeks. The outcome of the study exhibited that trust and perceived usefulness are crucial beliefs at both pre and post stages in consumer acceptance of mHealth services.
  Keywords: mHealth service; perceived usefulness; pre-trust; post-trust; customer satisfaction; longitudinal study.
  DOI: 10.1504/IJBIS.2021.10040259
   
  
• Workplace Spirituality and Knowledge Hiding Behavior: A PLS-SEM Analysis  
  by Ayman Alnaimi, Ammar Almasri, Shafique Ur Rehman 
  Abstract: Knowledge management has become an important area of focus for businesses due to its importance for efficiency and productivity. Considerable research has focused on the contributions that workplace spirituality has on knowledge sharing; far less research has examined whether spirituality can mitigate or lessen knowledge hiding behaviour. This article determines the interaction between workplace spirituality and knowledge hiding behaviour among bank workers in Jordan. The bank employees were sampled randomly (n = 156), and the collected data is analysed using the PLS-SEM technique. The findings suggest that workplace spirituality may play a greater role in diminishing knowledge hiding behaviour. In particular, workplace spirituality diminished evasive and playing dumb knowledge hiding behaviour, but not rationalised knowledge hiding. This article concludes with discussions on the theoretical and practical implications of the findings as well as directions for future research.
  Keywords: knowledge hiding behaviour; workplace spirituality; personality traits.
  DOI: 10.1504/IJBIS.2021.10040359
   
  
• Invariance analysis across industry sub-groups using the End User Computing Satisfaction instrument  
  by A.K.S. Sukumaran 
  Abstract: Reliable comparisons on end user satisfaction could be drawn through invariance analysis when different applications and population sub-groups used a standardised instrument. The present study tested the measurement invariance of the end user computing satisfaction (EUCS) instrument among the industry sub-groups of a university, a manufacturing organisation, and a hospital in order to consider the scale as a standard instrument to measure the end user satisfaction in information technology and its applications. The invariance of user satisfaction based upon the population sub-groups of age, gender, and work experience and management position were also tested across these industry sub-groups. The EUCS instrument was found to be robust for the measurement of the first order factors of end user satisfaction, content, accuracy, format, ease of use and timeliness. However, the analysis revealed that the instrument required revision of the factors for the measurement of end user satisfaction.
  Keywords: end user computing satisfaction; EUCS; industry sub-groups; population sub-groups; multi-group analysis; invariance analysis; information system success.
  DOI: 10.1504/IJBIS.2021.10040485
   
  
• CORPORATE SOCIAL RESPONSIBILITY AND GREEN HUMAN RESOURCE PRACTICES IN JORDAN: TRIPLE-BOTTOM APPROACH  
  by Rawan Alshawabkeh  
  Abstract: The aim of the study is to investigate the effect of green human resource management (GHRM) practices on corporate social responsibility (CSR) and the triple bottom lines of performance (TBL). Data were harvested from managers of pharmaceutical firms in Jordan using a five-point Likert scale administered to a purposive sample consisted of 200 managers. Responses used in data analysis composed 71% of the distributed questionnaires. The results supported the hypotheses that GHRM exerts significant effects on CSR and economic performance while CSR shows significant effects on social and environmental performance. The study contributes to the body of knowledge on TBL of performance through emphasising that GHRM is a key antecedent of CSR as well as GHRM and CSR are crucial prerequisites for organisations to boost their TBL of performance. Meanwhile, scholars are recommended to examine such results to deep our understanding of the effect of GHRM and SCR on TBL of performance, as well, managers are required to pay a great attention to both GHRM and CSR due to their simultaneous effects on TBL of performance.
  Keywords: green human resource management; GHRM; corporate social responsibility; CSR; triple bottom line; TBL; performance; pharmaceutical firms.
  DOI: 10.1504/IJBIS.2021.10040539
   
  
• Towards a Set of Guidelines for Software Development in Startups  
  by Bruno H. Cavalcante, Guilherme Guerino, Gislaine Camila Lapasini Leal, Renato Balancieri, Edwin Vladimir Cardoza Galdamez 
  Abstract: Software start-ups generally use development practices that are adapted to their agile and innovative environment. However, these practices, although consolidated, may not be the best ones for a specific context. This paper aims to present a set of guidelines for software development in start-ups. It also aims to show the results of three studies to validate and refine the proposed guidelines: a confirmatory survey, a focus group, and an expert panel. The participants were actors from both the industry and the academia. The results revealed that the guidelines obtained a positive perception from the participants of both contexts. Based on their approval, we can infer that those guidelines can increase the quality of products generated by start-ups and the chances of success for these organisations. Besides, the need for some improvements has been identified, and they will be implemented in the next version of the guidelines.
  Keywords: software start-ups; development process; guidelines; development practices; software development.
  DOI: 10.1504/IJBIS.2021.10040541
   
  
• Customer’s perception of online shopping risks: A Multi-Group Analysis Approach  
  by Sundus Alyatama, Mahmaod Al-rawad, Adel Al Khattab, Sliman AlSoboa 
  Abstract: This paper aims to examine the effect of various forms of risk and uncertainty on customers intention to use online shopping services. The paper also investigates the moderating effect of socio-demographic variables including age, gender, and previous experience on the relation between perceived risk and customer intention to engage in online shopping activities. Data were collected using a self administered questionnaire from respondents in three different countries: Jordan, Saudi Araba, and Kuwait. A total of 558 valid responses were obtained and analysed. First, the research instrument validity, reliability, common method bias (CMB), and measurement invariance were assessed using confirmatory factor analysis (CFA) and chi-square difference tests. The results suggest that 24% of the variance in customers intention to use online shopping services can be explained by the proposed model. Financial risk, privacy risk, and information risk were more relevant to customers purchase decisions. Among these effects, financial risk has the most significant negative effect, followed by information and privacy risk. The multi-group analysis revealed that the level of perceived risks on the customers intention to use online shopping services is significantly higher for respondents with no previous experience. Further, no support was found for the moderating effect of age and gender.
  Keywords: online shopping; purchase intention; perceived risk; privacy risk; socio-demographic; information risk; Jordan; Kuwait; Saudi Arabic; measurement invariance.
  DOI: 10.1504/IJBIS.2021.10040542
   
  
• Towards a Heuristic Frame for Opportunity Development of Business Models for Mobile Applications in Developing Countries: The Case of a Brazilian Healthtech  
  by Gabriel Cavalheiro, Mariana Cavalheiro 
  Abstract: With the widespread introduction of new digital technologies leading to new processes, products, markets, and ways of organising, entrepreneurs must discover opportunities in which to strategically exploit the new technologies. Based on an extensive literature review, this study proposed a model of entrepreneurial action that takes into account entrepreneurs’ experiences of risk-taking, opportunity identification, and action. In order to validate the proposed framework, we apply the model to examine the growth trajectory of a Brazilian healthtech start-up. Therefore, this article seeks to contribute to filling a knowledge gap in the entrepreneurship literature using empirical evidence on the identification and development of a business opportunity. It became clear that the opportunity identification and development process focused on filling perceived gaps and involved expanding traditional capabilities within the activities of physicians, as well as acquiring expertise from outside the boundaries of the medical arena.
  Keywords: entrepreneurship; opportunity identification; start-up; healthtech; opportunity development.
  DOI: 10.1504/IJBIS.2021.10040736
   
  
• Role Of Maturity In Assessing The Benefits Of Video Lecture Capturing In Higher Education: A Case Study Of Business Students of Qatar  
  by Habib Ullah Khan, Rami Zeitun 
  Abstract: The intervention of technology in education realm made the world witness umpteen developments like video lecture capturing, learning models and others. In spite of the great influx of these artefacts, understating the thought process of the end user (teacher or taught) has always remained a puzzle. As the requirement seeking process and the decision making process of the users is much volatile and largely depends on the subjective factors of the societies, there is every need to track the minds of the end users from time to time. The present study is exploring the role of students’ maturity in assessing the benefits of video lecture capturing in Qatar. The students of College of Business and Economics at Qatar University are considered for the study. Apart from seeking the opinion of the students using standard scale, they are allowed to share their views for the betterment of VLC system
  Keywords: video lecture capturing; VLC; lecture capturing; LC; education technology; maturity; personality-related benefits; course-related benefits; learning-related benefits; Qatar.
  DOI: 10.1504/IJBIS.2021.10040755
   
  
• Precarious Workers in the Era of Digitalization: Identifying the Job-Related Outcomes of Insecurity  
  by Asghar Afshar Jahanshahi, Milagros Mendoza Rivas, Alberto Yony Quiroz Castillo 
  Abstract: In the era of digitalisation, non-tech and precarious workers suffer from high levels of job instability and receive lower wages compared with permanent and tech workers. We conducted a survey among 201 non-tech and precarious workers in Peru in order to identify the consequences of job insecurity among them. These groups of non-tech and precarious employees worked for small private companies which located in the districts of Chimbote and Nuevo Chimbote in the northern part of Peru. We considered the effects of job insecurity on workers’ job dissatisfaction, vitality, friendship, positive works attitudes, and social support. The SPSS software has been used for teasing the hypotheses of the study. Our results showed that job insecurity decreases non-tech workers’ vitality and increases their job dissatisfaction. Furthermore, our findings reveal that a higher level of job insecurity is related to lower levels of friendship in the workplace. More interestingly, we found a negative association between job insecurity and non-tech and precarious workers’ social support of each other in the workplace. It seems that precarious workers less care about each other needs and demands once the perception of job insecurity among them is very high.
  Keywords: non-tech workers; precarious workers; job insecurity; job dissatisfaction; vitality; friendship; positive work attitudes; social support.
  DOI: 10.1504/IJBIS.2021.10040822
   
  
• Systematic literature review on the influence of Business Intelligence (BI) capabilities on BI systems success and Firm Performance: An Asian Perspective  
  by Phan KY, Ai Ping Teoh 
  Abstract: Optimising firm performance has been an important issue in most business organisations in todays uncertain business environment. This systematic literature review (SLR) aims to determine the influence of business intelligence (BI) capabilities on BI systems success and to discover if the success of BI systems directly improves firm performance in Asian countries. This SLR was based on the publication standard, Reporting Standards for Systematics Evidence Syntheses (ROSES) incorporating multiple research design methods. Articles were sourced from four major scientific databases namely Scopus, ScienceDirect, Emerald and Taylor & Francis. Only selected articles published from 2016 to 2020 were considered. Selection articles focused on BI/big data analytics capability and BI systems success in selected firms. Using the thematic analysis, this review found four main themes namely technology capability; organisational culture capability; people capability and management capability. The four main themes further produced 14 sub-themes.
  Keywords: business intelligence success; business intelligence capability; resource-based view; RBV; dynamic capabilities; IS success model.
  DOI: 10.1504/IJBIS.2021.10040823
   
  
• Modelling Blockchain Technology Adoption in the Supply Chain: Evidence from an Emerging Country  
  by Ali Vafaei-Zadeh, Ahmad Emir Rastan, Haniruzila Hanifah, Ai Ping Teoh, Khaled Nawaser 
  Abstract: The study aims to investigate the factors influencing the supply chain professionals’ intention to use blockchain technology, using the technology readiness index (TRI) and technology acceptance model (TAM) and considering several important variables. This study was carried out by the targeted respondents of the supply chain professional in Malaysian manufacturing companies, leading to a total number of 152 data collected through purposive sampling approach. The results of this study showed that optimism and innovativeness have a significant, positive impact on both perceived ease of use (PEU) and perceived usefulness (PU), in contrast to discomfort and insecurity with no effects. Perceived cost and PU also positively affected the attitude, whereas PEU left the attitude intact. The three factors including perceived cost, trust of supply chain stakeholder, and attitude, contrary to blockchain transparency, exhibited a significant and positive impact on intention to use blockchain technology.
  Keywords: blockchain technology; BT; sustainable supply chain; technology readiness index; TRI; technology acceptance model; TAM; technology adoption; Malaysia.
  DOI: 10.1504/IJBIS.2021.10040824
   
  
• E-recruitment Adoption among Job-seekers: Role of Vividness and Perceived Internet Stress in shaping their intentions  
  by DAVINDER KAUR, Rajpreet Kaur 
  Abstract: Drawn from technology acceptance model, this study establishes a theoretical framework for the analytical interpretation of factors affecting job-seekers intention to use e-recruitment websites. Using the data obtained from 379 respondents in India, ten hypotheses derived from the experimental model are evaluated using a structural equation modelling technique. Vividness, perceived usefulness (PU), and Attitude have been shown to have a significant positive impact on the behavioural intentions (BIs) of job-seekers, although perceived ease of use (PEOU) did not. Furthermore, perceived internet stress (PIS) is observed to be a significant antecedent PEOU; and PEOU is of PU. Such findings broaden our knowledge of e-recruiting in various ways and offer qualitative insights into the potential impact of website functionality on the attractiveness of job-seekers.
  Keywords: e-recruitment; technology acceptance model; TAM; vividness; perceived usefulness; perceived ease of use; PEOU; behavioural intentions.
  DOI: 10.1504/IJBIS.2021.10040825
   
  
• An Innovative Approach of Selecting Cloud Provider through Service Level Agreements  
  by Aveek Basu, Sanchita Ghosh, Sraboni Dutta 
  Abstract: Cloud computing has redefined the IT industry in current scenario and can be considered as one of the latest technological advances in modern era. The concept of multi-tenancy facilitates cloud service providers to leverage the cost by providing services to multiple users at the same time via shared resources. In such circumstances, service level agreement (SLA), a set of rules between the consumer and provider, carry a great significance to ensure the quality of service and expected outcomes. In order to settle disputes arising on the expected level of service, the cloud SLA brings a few guidelines and rule sets based on prior agreements between these two parties. So, as a cloud customer it is quite challenging to decide the most suitable cloud provider based on the SLA commitments proposed by providers. In this research, the fuzzy weighted sum model and weighted product model method are applied in this context.
  Keywords: multi-criteria decision analysis; MCDA; service level agreement; SLA; weighted sum model; WSM; weighted product model; WPM; cloud service provider; CSP; data security; service credit.
  DOI: 10.1504/IJBIS.2021.10040972
   
  
• Effect of Intellectual Capital and Information System Capability on Effective Strategic Decision Making to achieve financial performance  
  by Raden Edi Sewandono, Armanu Thoyib, Djumilah Hadiwidjojo, Ainur Rofiq 
  Abstract: This study analyses the importance of intellectual capital and information system capability applied in state-owned companies in Indonesia, influencing the company’s financial performance through mediating variables. Using the theory of resource-based view (RBV) and bounded rationality to investigate these relations, a series of hypotheses are developed, considering effective strategic decision-making as a mediator variable. The study analyses structural equation modelling (SEM) derived from empirical data from 106 companies in Indonesia. The study attempts to precisely analyse how the impact of intellectual capital and information system capability on established state-owned companies in Indonesia is affected by effective strategic decision making. The research exposes that information system capability does not influence financial performance, whereas intellectual capital and information system capability indirectly leverages financial performance through effective strategic decision-making.
  Keywords: intellectual capital; information system capability; ISC; effective strategic decision making; financial performance.
  DOI: 10.1504/IJBIS.2021.10041005
   
  
• Applying a Multiplex Network Perspective to Understand Performance in Software Development  
  by Matthew Oladeji Ajimati, Rick Aalbers, Eoin Whelan, Hans Van Kranenburg, Lorraine Morgan 
  Abstract: A number of studies have applied social network analysis (SNA) to show that the patterns of social interaction between software developers explain important organisational outcomes. However, these insights are based on a single network relation (i.e., uniplex social ties) between software developers and do not consider the multiple network relations (i.e., multiplex social ties) that truly exist among project members. This study reassesses the understanding of software developer networks and what it means for performance in software development settings. A systematic review of SNA studies between 1990 and 2020 across six digital libraries within the IS and management science domain was conducted. The central contributions of this paper are an in-depth overview of SNA studies to date and the establishment of a research agenda to advance our knowledge of the concept of multiplexity on how a multiplex perspective can contribute to a software developer’s coordination of tasks and performance advantages.
  Keywords: multiplexity; software development; communication network; social network analysis; SNA; software developer; performance.
  DOI: 10.1504/IJBIS.2021.10041085
   
  
• Adopting Social Networks in Higher Education: A Study on Facebook as E-learning Tool  
  by Muneer Abbad 
  Abstract: In higher education, an increasing number of learning institutions are utilising social networks as e-learning tools. Developing countries in particular are experimenting with the use of such networks. It is imperative to review and extend the technology acceptance model (TAM) to enhance the application of social networks in e-learning. The main objective of this study was to determine the factors that affect students’ intentions to use social networks, such as Facebook, as e-learning tools. An online survey was administered to collect data from undergraduate students at the Hashemite University in Jordan. Structural equation modelling was employed to analyse the data and test the hypotheses. The results indicated that students’ intentions to use social networks as e-learning tools were directly and indirectly influenced by perceived ease of use, perceived usefulness, and perceived enjoyment. The proposed model explained 74.6% of the variance and achieved an acceptable fit. The implications of the results, limitations of the study, and future research were then considered.
  Keywords: social networks; e-learning; TAM model; higher education; Facebook; Jordan; developing countries.
  DOI: 10.1504/IJBIS.2021.10041129
   
  
• A Study of Knowledge Management in Energy Industry in India - Managing Failure  
  by RICHA SHARMA 
  Abstract: Knowledge management (KM) is important for energy industries. Presently, it was aimed to study the prevalence of KM practices in energy industries in India. A questionnaire was prepared. About 516 respondents from the 47 energy industries from different sectors participated in the survey studies. KM was being widely practised in all of these leading industries which have good organisational performance. Studies reflected that a flexibility approach should be adapted in dealing with employees in failure management. Learning from the failures would lead to a culture of lifelong learning in these industries which are well on their path to become learning organisations. This would encourage and motivate the employees to undertake challenging and risk averse works in future which may result in innovations and may also lead to the successful organisational performance. KM is also an essential part of information systems in organisations. KM is a lifeline of energy industries.
  Keywords: knowledge management; energy industries; flexibility; failure management; promoting research work; organisational performance; India.
  DOI: 10.1504/IJBIS.2021.10041130
   
  
• Green Computing: The growing concern on Information Management, E-waste, Safety Health and Environment  
  by Maitanmi Stephen, Tubosun Fagbe 
  Abstract: The application of information technology and computing in every facet of human endeavours across the global community with an increase in usage poses serious challenges to the users safety, health and environment (HSE) due to the existence of green computing in Nigeria. This study focused on information technology and communication (ICT) equipment. This article also considered green computing, carbon emission and e-waste awareness level of Nigerians via a simple random survey technique. Total enumeration of the respondents were used with a validated questionnaire which has a reliability test that ranges from 0.791 to 0.803. It was discovered from the descriptive statistics that there is limited knowledge on the proper disposal of mobile devices, laptops and other electronic devices which has adversely increased the environmental e-waste and carbon emission. E-waste knowledge management has not provided significant information especially public knowledge on ewaste management of computers and phone in Nigeria.
  Keywords: electronic; e-waste; environment; green computing; health; information technology; management; safety.
  DOI: 10.1504/IJBIS.2021.10041330
   
  
• Moderating Effect of Customer Relationship Management on the Relationship between Electronic Marketing and Effectiveness of Integrated Model of Marketing Communication  
  by Hanan Almomani, Mohammad Alhalalmeh, Ghufran Hijjawi, Mohammad Eldahamsheh, Sulieman Al-hawary 
  Abstract: The purpose of this study is to determine the moderating effect of customer relationship management in the relationship between e-marketing and the effectiveness of integrated model of marketing communication. Data were collected from 322 respondents through a questionnaire-based survey. Moreover, structural equation modelling (SEM) was used as an inferential statistical analysis technique to test the hypotheses of the study while determining the moderating effect along with path assessment and CFA. The result of this study revealed that there are significant effects of e-mail marketing, mobile marketing, social media marketing and customer relationship management on the effectiveness of integrated model of marketing communication. On the other hand, it was found that customer relationship management moderates the relationship between social media marketing and the effectiveness of integrated model of marketing communication. Based on these results, companies are recommended to consider the importance of e-marketing in elevating the effectiveness of integrated model of marketing communication and to consider CRM to increase the effect of social media marketing on the effectiveness of integrated model of marketing communication. Further studies should be conducted to confirm the results and retest the moderate effect of CRM using other samples from other industries.
  Keywords: electronic marketing; customer relationship management; CRM; integrated model of marketing communication.
  DOI: 10.1504/IJBIS.2021.10041484
   
  
• The turnover intention of young employees in the IT industry  
  by A.K.S. Sukumaran 
  Abstract: Employee turnover process models considered job satisfaction as the key factor in the formation of turnover intention of employees and that job satisfaction negatively affected turnover intention. These models considered job satisfaction in isolation and examined career growth and supervisory interpersonal justice as antecedents of job satisfaction or turnover intention. However, this study posited career growth and supervisory interpersonal justice as the key mediator variables in job satisfactions relationship with turnover intention considering the significance of those two factors for the young and educated employees in the IT industry. The mediation approach enabled to unlock the complex chain of relationships between job satisfaction and the turnover intention of employees. While career growth was found to enhance the negative and expected influence of job satisfaction on the employees intention to change jobs, supervisory interpersonal justice acted in the opposite direction and depleted the negative effect of job satisfaction on the turnover intention of the employees in the IT industry.
  Keywords: IT industry; young employees; turnover intention; job satisfaction; career growth; supervisory interpersonal justice; mediation analysis.
  DOI: 10.1504/IJBIS.2021.10041487
   
  
• Artificial Neural Networks for Demand Forecasting of the Canadian Forest Products Industry  
  by Shashi Shahi, Peizhi Yan, Salimur Choudhury, Bharat Maheshwari 
  Abstract: The supply chains of the Canadian forest products industry are largely dependent on accurate demand forecasts. The USA is the major export market for the Canadian forest products industry, although some Canadian provinces are also exporting forest products to other global markets. However, it is very difficult for each province to develop accurate demand forecasts, given the number of factors determining the demand of the forest products in the global markets. We develop multi-layer feed-forward artificial neural network (ANN) models for demand forecasting of the Canadian forest products industry. We find that the ANN models have lower prediction errors and higher threshold statistics as compared to that of the traditional models for predicting the demand of the Canadian forest products. Accurate future demand forecasts will not only help in improving the short-term profitability of the Canadian forest products industry, but also their long-term competitiveness in the global markets.
  Keywords: artificial intelligence; artificial neural networks; ANNs; forest industry competitiveness; demand forecasting; uncertain demand and supply.
  DOI: 10.1504/IJBIS.2021.10041517
   
  
• Adoption of digital banking technologies by nascent entrepreneurs in the era of transformative business information systems  
  by Mohammad Rashed Hasan Polas, Asghar Afshar Jahanshahi 
  Abstract: Nascent entrepreneurs are those peoples who are in the early stage of starting a new business. In this study, the researchers attempted to determine what factors trigger a nascent entrepreneur to adopt digital banking technologies (applications and services)? To answer this question, this research tested the direct relationship between perceived security factors, the internet experience factors, and marketing exposure factors with nascent entrepreneur’s adoption of digital banking technology. Moreover, we tested the indirect effects of these three factors with entrepreneur’s adoption of digital banking technology through perceived usefulness. The study hypotheses were tested using a sample of 377 Bangladeshi nascent entrepreneurs who had participated in an entrepreneurship program and are in the process of starting a business. The findings revealed that nascent entrepreneurs with marketing exposure and perceived security are more likely to employ digital banking technology; perceived usefulness mediates the relationship between internet experience, and marketing exposure with adoption of digital banking technology.
  Keywords: digital banking technologies; marketing exposure; nascent entrepreneurs; networking ability; perceived usefulness; perceived security.
  DOI: 10.1504/IJBIS.2021.10041558
   
  
• INVESTIGATING THE INFLUENCE OF IT INACCESSIBILITY AND SOCIAL PRESSURE ON EMPLOYEES SHADOW CLOUD IT USAGE DURING THE COVID-19 PANDEMIC MCO PERIOD.  
  by Fowokemi Ogedengbe 
  Abstract: The sudden massive reliance of organisations on cloud IT systems has led to increased shadow cloud IT systems usage among employees during the COVID-19 pandemic global lockdown. The purpose of this study is to empirically examine the correlation between organisational structural factors on employee’s shadow cloud IT usage during the MCO period. This research follows the quantitative approach design. The respondents are employees, and data collection was carried out using the online survey method. Data analysis was carried out using SPSS and PLS-SEM. The result shows that IT inaccessibility and social pressure directly correlate with employee’s shadow cloud IT usage as many employees lack access to official IT tools while working from home. The implication of this reflects that many organisations have a higher risk of information systems infiltration, increased exposure to security threats, and data breaches due to the increased employee interactions with shadow cloud IT systems.
  Keywords: shadow cloud IT; strain theory; COVID-19 pandemic; movement control order; MCO; IT inaccessibility; social pressure; cloud information systems.
  DOI: 10.1504/IJBIS.2021.10041690
   
  
• Return on Investment (RoI) Based Suitability Assessment Model for Cloud Migration  
  by Asma Zubaida Mohamed Ibrahim, Masnida Hussin 
  Abstract: There are many IT-based organisations shown interested in moving their business operation into a cloud-enabled system as they noticed that cloud-oriented gives better revenue and return. In order to migrate, there are many operational features that need to be assessed. For the cloud migration process, the assessment of the organisation are important to ensure the business revenue and returns remain positive. However, due to numerous business data needed to be collected and analysed, some organisations do not take that action seriously. Absence in carefully measuring such data/information for cloud migration will have effect on the return on investment (RoI) outcome. In this work, we present a practical model name as SAROIC for estimating the suitability and the return on investment of cloud computing migrations from the cloud user perspective. This model aims to overcome such limitations by providing a step-by-step process for estimating a comprehensive ROI of cloud migration. This will further help the cloud user in decision making.
  Keywords: cloud computing; suitability assessment; return on investment; RoI; cloud migration; decision making.
  DOI: 10.1504/IJBIS.2021.10041730
   
  
• Role of Perceived Risk and Computer self efficacy in predicting online stock trading intention.  
  by Rajdeep Raut, Rohit Kumar 
  Abstract: This study examines the impact of behavioural antecedents on individual investors’ intention in the context of two most risk intensive decision-making areas, i.e., stock market and technology. The variables of the theory of planned behaviour and technology acceptance model were taken together along with two external variables: perceived risk and computer self-efficacy to hypothesise the conceptual model. The findings, based on 258 valid responses, showed that all variables, except perceived usefulness and subjective norms, had a significant impact on investors’ intention to trade online. It was also found that attitude and perceived risk were significantly playing the mediating role to strengthen the relationships; however, perceived risk was found to be a partial mediator between computer self-efficacy and intention of investors. Finally, perceived risk was also found to be a significant moderator of online trading intention of investors. This study has provided a successful implication of an integrated model and suggested practical and managerial implication of the findings.
  Keywords: information and communication technology; ICT; technology acceptance model; TAM; theory of planned behaviour; TPB; investment decision; stock market.
  DOI: 10.1504/IJBIS.2021.10041790
   
  
• Reliable Methodology for Acquiring Exact Road Accident Information Using Deep Learning  
  by Sophia S, Iyswarya K, Boselin Prabhu, Sridevi Unnikrishnan 
  Abstract: In a highly populated country like India, the death rate increase alarmingly due to road accidents. Various reasons for road accidents include rash driving, violating the speed limits, drunken drive, bad weather conditions, improper road construction and maintenance, etc. For avoiding these road accidents, intelligent prediction of the occurrence of road accidents would be greatly helpful. The main intention of the research in this paper is to formulate an information-centric road safety mechanism that shall increase safety to human lives. This paper deals with the proposal of a reliable deep learning technique for prediction of road accidents through a comparative analysis of K-nearest neighbours (K-NN) algorithm and Regression algorithm. Coimbatore city located in Tamilnadu, India is being chosen for the data procurement. Various causes that lead to accidents and their impacts like death rate, time of accidents and category of vehicles involving in the accidents were chosen for analysis. On the basis of comparative analysis and its prediction results, this research work aids in modelling an information-centered road safety mechanism that helps in preventing future road accidents in a cost-effective way.
  Keywords: reliable transportation; information-centric approach; regression algorithm; deep learning; predictive analysis; road accidents; accident prone areas.
  DOI: 10.1504/IJBIS.2021.10041794
   
  
• Role of IT capacity in customer churn for electronic retailers in oligopoly market using game theory approach  
  by Maryam Esmaeili, Sahar Vatankhah 
  Abstract: This paper examines the customer churn for e-retailers in oligopoly markets and simultaneously considers IT capacity and marketing. When the customer churn occurs, the customers leave this e-retailer and join the other ones. Moreover, the market share of each e-retailer depends on its marketing rate, rival companies, and IT capacity. The competition between the companies is examined in an oligopoly market. The rate of customer reduction is considered to determine the efficient marketing policy leading to maximizing each player’s profit. The relation between e-retailers is modelled as an infinite horizon, non-cooperative differential game. A differential game theory is employed to obtain the market share, marketing rate, and IT capacity of each e-retailer. Besides, a numerical example and sensitivity analysis are presented to illustrate the proposed model. Finally, it was revealed that the companies do not need to spend money on marketing efforts by prioritizing their IT capacity.
  Keywords: marketing; customer churn; game theory; IT capacity; market share.
  DOI: 10.1504/IJBIS.2021.10041777
   
  
• Developing an APP Proposal for Tuk-tuk service management  
  by Eduarda V. Perdigão, Bráulio Alturas 
  Abstract: In most tuk tuk companies, outdated methods are used in the daily management of the company, which makes the processes slow and time-consuming. So, it was found that it was necessary to use information technologies to make tuk tuk companies more effective in daily management. Therefore, the main objective of this project was the development of an application, that works like an information system, for tuk tuk companies. The requirement gathering carried out, allowed conclusions to be reached about the type of information that was to be relevant in the application as well as its functionalities. It was concluded that it is necessary to have two types of applications, a mobile and a desktop. The App brings advantages related to the reduction of errors in the database, overview and knowledge of the employees work, and improvement in time management that can increase the productivity of the companys managers.
  Keywords: business analytics; cloud; business information systems; business intelligence; dashboard; mobile apps; desktop apps; key performance indicators; tuk tuk; tourism.
  DOI: 10.1504/IJBIS.2021.10041832
   
  
• Analyzing of online user reviews via Latent Dirichlet Allocation: Moroccan Mobile banking case  
  by Meriem Tabiaa, Madani Abdellah 
  Abstract: Nowadays, most organisations make their mobile applications available through different stores, such as Google Play Store, Apple App Store, and Windows Phone Store. Banks and financial institutions have also provided mobile applications for their customers. These app stores not only allow users to download applications but also to leave comments and reviews. In the present paper, we will first explore eight Moroccan mobile banking apps in the Google Play Store. Data that has not been exploited by Moroccan banks yet. Once the preprocessing phase is complete, we will examine and analyse user reviews using latent Dirichlet allocation (LDA) to extract and identify topics. Topics discovered focus mainly on security, services, quality and interface. While customer reviews can influence future demand, it may also be useful to decision-makers to improve their services and customer experience.
  Keywords: latent Dirichlet allocation; LDA; topic model; e-banking; electronic banking; user reviews; consumer feedback.
  DOI: 10.1504/IJBIS.2021.10041837
   
  
• The Contribution of Data Visualization Tools Towards a Better Customer Relationship Management  
  by Bayan Ghozlan, Emad Abu-Shanab 
  Abstract: Data is a valuable asset for businesses if it is visualised to enable decision-makers to gain insights that help them earn a competitive advantage or better market share. The visualisation process not only supports decisionmakers but also scientists, journalists, and healthcare workers. Many visualisation software evolved to help general users and experts better present their data easily and attractively. In this study, we conducted a new comparison among six available tools based on specific criteria, and we tried to build a framework for the questions to be explored concerning customer relationship management (CRM), data visualisation (DV) activities, and how DV tools can contribute to building better CRM activities and processes. The studied tools have never been studied together and in the same context.
  Keywords: data visualisations tools; D3.js; GoogleCharts; FusionCharts; Tableau; RAWGraph; Datawrapper; customer relationship management; CRM.
  DOI: 10.1504/IJBIS.2021.10041841
   
  
• FACTORS INFLUENCING ONLINE PURCHASE DECISIONS OF PHARMA PRODUCTS BY BABY BOOMERS: MEDIATING EFFECT OF CONSUMER BEHAVIOUR AND ATTITUDE ON TRUST DEVELOPMENT  
  by Balakrishna Maddodi, Dasharathraj K. Shetty, Nisha S. Tatkar, Karthikeyan Parthasarathy, Shridutt B, Suyash Kumar Prasad, Pavithra S, Nithesh Naik, Delaram Mahdaviamiri, Vathsala Patil 
  Abstract: The COVID-19 pandemic introduced the term new normal in everyones life. Be it health, trade, or sales; all humans are suffering and managing to survive newfangled. However, the e-commerce industry has emerged exponentially to footslog all odds through intelligent and innovative trade practices during this period. Due to the pandemic, the Indian government imposed stringent lockdowns across the country, and individuals were forced to shop online for their basic needs. The silent generation and the baby boomers have emerged as potential buyer segments during the pandemic. Several studies have indicated that trust is an essential factor that influences their buying behaviour. However, limited research has been done to identify the dimensions influencing consumer trust and test its antecedents empirically, specifically among the baby boomers and the silent generation population. The present study attempts to identify and empirically test the antecedents influencing the trust of baby boomers and the silent generation for buying medicines online. A systematic review was carried out to identify the antecedents influencing trust, which were then tested using SEM analysis. A total of 314 responses were collected and tested using SmartPLS software. The results of the study indicate that out of the six variables tested, only Brand image, Monetary and Offline presence influence the trust of baby boomers and the silent generation for buying medicines online in India.
  Keywords: e-commerce; consumer trust; baby boomers; silent generation; pharmaceuticals products.
  DOI: 10.1504/IJBIS.2021.10041845
   
  
• THE IMPACT OF COVID19 ON DIGITAL MARKETING AND MARKETING PHILOSOPHY: EVIDENCE FROM JORDAN  
  by Anber Mohammad  
  Abstract: The purpose of the study was to examine the impact of COVID-19 pandemic on digital marketing and marketing philosophy. The study population consists of managers and employees working in the marketing department of companies operating in Jordan. Non-probability convenience sampling was adopted in terms of gathering the data. For this purpose, managers and employees from the marketing departments were surveyed and 318 responses were obtained that were in appropriate form to be included in the statistical analysis. Meanwhile, for empirical analysis, confirmatory factor analysis (CFA) and partial least square (PLS) were used and Smart PLS was used as statistical package. The findings of the paper have revealed that COVID-19 has a significant impact on digital marketing and marketing philosophy. Therefore, it can be evidently claimed that the emergence of the pandemic has not just threatened the survival of the firms in Jordan but has also provided an unprecedented opportunity to evolve, grow and expand given that presence of consumers online has increased dramatically which has forced organisations to revisit their digital marketing practices and bring significant changes into the marketing philosophy in terms of unique marketing strategy and core marketing concepts with respect to ongoing pandemic conditions.
  Keywords: COVID-19; digital marketing; marketing philosophy; Jordan.
  DOI: 10.1504/IJBIS.2021.10041853
   
  
• Impact of COVID-19 on monitoring human health behavior through digital medium system  
  by Anuraj Singh, Anurag Singh, Adarsh Kumar 
  Abstract: COVID-19’s impact on human health monitoring via a digital medium system is an essential process in every hospital, public area, and human civilisation scenario to combat the COVID-19 pandemic. However, diagnosing an infected individual is problematic, as some people present no symptoms but are infected with COVID-19. Identification gets more complex when an individual has a high level of immunity but is infected with COVID-19. This issue has significant effects for the elderly and those suffering from deadly conditions such as diabetes, cancer, and thyroid. This study presents a procedure and a patient detection architect for a digital medium system that would connect health workers and citizens and aid in protecting patients, ourselves, our families, society, and the community.
  Keywords: COVID-19; digital medium device; drone technology; thermal scanning.
  DOI: 10.1504/IJBIS.2021.10041999
   
  
• The Effect of Earnings Quality on Internet Financial Reporting in Developing Countries from Different Perspectives: The Case of Jordan  
  by Mohammed Yassin, Yazid Melhem, Dea’a Al-Deen Al-Sraheen 
  Abstract: Internet Financial Reporting (IFR) is a voluntary disclosure tool that mitigates the agency problem, which causes information asymmetry. This study aimed to investigate the effect of earnings quality (EQ) on IFR. It employed four different measures to measure EQ, and developed an IFR index to measure the content and format of firms’ disclosures. Data of 226 Jordanian firms listed on the Amman Stock Exchange (ASE) were collected. The univariate analysis reveals that IFR firms are larger, more leveraged, less board independent and have higher EQ than non-IFR firms do. Ordinary least squares (OLS) regression analysis supports that management may use greater voluntary disclosures when current earnings are less informative. Potential simultaneity bias between EQ and IFR was expected to be present. To control for this endogeneity problem, extended two-stage least squares (2SLS) regression analysis was used and supports that good EQ could facilitate foreign investments through disclosing transparent information via IFR. The results are expected to help regulators and policy makers in establishing the building blocks of a conceptual framework for IFR.
  Keywords: internet financial reporting; IFR; earnings quality; agency theory; voluntary disclosure; Jordan.
  DOI: 10.1504/IJBIS.2021.10042104
   
  
• Measuring Business Intelligence & Analytics capability maturity: A study of organizations in India  
  by Aditi S. Divatia, Jyoti Tikoria, Sunil Lakdawala 
  Abstract: While there have been studies for development and evaluation of maturity models for measuring business intelligence and analytics (BI&A) capability maturity of organisations, there has been no empirical study done solely for assessing the BI&A capability maturity of organisations. The purpose of this paper is to measure the BI&A capability maturity in organisations. This has been done through an empirical study with a sample of 145 organisations from different industry sectors in India. BI&A capability maturity has been assessed using six influencing factors. Analysis has been done based on industry sectors and segments, where findings have indicated some distinct industry segments with varying BI&A capability maturity. Organisations have also been grouped based on the maturity of six factors using K-means clustering technique. Each cluster was found to be representing a different level of maturity. The clusters have been reorganised to bring out interesting insights about BI&A capability maturity. The study presents important managerial implications.
  Keywords: business intelligence; business analytics; capability maturity; k-means clustering; elbow method; factor analysis; maturity level; India.
  DOI: 10.1504/IJBIS.2021.10042131
   
  
• FinTech in Kuwait: A Survey Study  
  by Ahmad Rabaai 
  Abstract: Financial technologies, commonly known as FinTech, have gained a widespread attention in recent years given the potentials they have to revolutionise the entire financial industry and create a new ecosystem by cutting costs, improving the quality and the efficiency of financial services, providing more convenient customized, and automated services than those provided by traditional financial institutions. This study aims at investigating consumers’ awareness, readiness, and perceptions toward FinTech products and services in the State of Kuwait, a Middle Eastern country, where to date, and to the best of our knowledge, no similar research study has been conducted. A questionnaire-based study was employed. Data from 314 respondents were analysed and compared with Ernst and Young FinTech Adoption Index, PwC Global FinTech report and other related academic literature. The study suggests several theoretical and practical implications that can provide rich insights to researchers, technology and finance professionals who are interested in the FinTech phenomenon.
  Keywords: financial technologies; FinTech; FinTech products and services; FinTech adoption; Kuwait.
  DOI: 10.1504/IJBIS.2021.10042271
   
  
• An empirical examination of consumer post-adoption of mobile banking  
  by Manel Hamouda, Rym Srarfi Tabbane 
  Abstract: The aim of this paper is to examine mobile banking post-adoption phase by incorporating post-use trust as a central variable among mobile banking factors (system quality, information quality, service quality and interface design) and relationship variables namely loyalty and commitment. The proposed model was tested empirically through a quantitative study. Data was collected using an online survey from users of mobile banking. A total of 145 valid questionnaires were analysed using partial least square structural equation modelling. The empirical results revealed a significant and positive relationship between service quality, interface design and post-use trust of mobile banking. Post-use trust has, in turn, a significant impact on establishing a long-term relationships with mobile banking services as a positive relationship was found between post-use trust and both loyalty and commitment.
  Keywords: mobile banking; m-banking; post-adoption; commitment; system quality; post-use trust; loyalty; information quality; service quality.
  DOI: 10.1504/IJBIS.2021.10042272
   
  
• Decision making system for agile manufacturing implementation: A fuzzy-based simulation  
  by Rahul Kumar, Kanwarpreet Singh, Sanjiv Jain 
  Abstract: The objective of present work is to examine the contribution of critical success factors towards the agile manufacturing implementation in the manufacturing industry. The critical success factors of agile manufacturing are extracted from the literature. Fuzzy logic toolbox of MATLAB is used to assess the success of agile manufacturing implementation. The outcomes of fuzzy rule viewer show that information technology (IT), human resources-related issues (HRM), customer-related issues (CR) and leadership support (LS) have arisen as significant factors for agile manufacturing implementation. The novelty of this work lies in the application of fuzzy logic toolbox of MATLAB to assist industry professionals to evaluate the success of agile manufacturing implementation.
  Keywords: agile manufacturing; fuzzy inference system; FIS; business performance.
  DOI: 10.1504/IJBIS.2021.10042273
   
  
• Value-based Adoption Model: A Systematic Literature Review from 2007 to 2021  
  by C.H.I. T.I.N. WONG, Cheng Ling Tan, Imran Mahmud 
  Abstract: In the past two decades, more and more methods have been used to test the adoption intention of information and communication technology (ICT) based on the value-based adoption model (VAM). However, previous studies paid less attention to a comprehensive study that reviewed research articles related to VAM to discuss the research gaps and future research opportunities. There is an absence of a clear agenda or roadmap in the research area of VAM. Therefore, the purpose of this study is to synthesise and analyse the research studies of VAM in the past two decades, identify the main theories/frameworks/models integrated with VAM, and summarise the key benefits and sacrifices factors of VAM and the use cases of VAM. This study reviewed 42 research articles published between 2007 to the first quarter of 2021, highlighted the literature gaps, as well as suggested further research directions.
  Keywords: value-based adoption model; VAM; systematic literature review; development and extension; technology acceptance model; TAM; modification and application.
  DOI: 10.1504/IJBIS.2021.10042427
   
  
• What Motivates Potential Donors to Evaluate IS Success of Charity Websites  
  by Dong-Heon Kwak, Jinwoong Lee, Greta Polites, Alan Brandyberry, DEBORAH ERDOS KNAPP 
  Abstract: Despite the importance of motivation in information systems (IS) research, past research has not paid much attention to the issue of what motivates people to evaluate IS success. Drawing upon DeLone and McLean’s IS success model, and the e-commerce, psychological involvement, and personality literatures, this effort investigates determinants of the motivation to evaluate IS success in the context of charity websites. This study proposes and tests a motivation development model, which includes causal relationships among personality, psychological involvement, and motivation to evaluate IS success. Additionally, this model provides a theoretical understanding of what promotes the evaluation of various aspects of IS success by demonstrating that prosocial personality increases psychological involvement with charitable giving, which, in turn, motivates the evaluation on IS success of charity websites.
  Keywords: motivation; IS success; charity website; personality; psychological involvement.
  DOI: 10.1504/IJBIS.2021.10042428
   
  
• Enterprise Resource Planning Solution for a Poultry Firm  
  by Faraz Mueen Mulla, Satish G. J., Vinayak N. Kulkarni, V.N. Gaitonde 
  Abstract: Various businesses utilise enterprise resource planning (ERP) to manage their company operations in a centralised and integrated system. The poultry sector is currently experiencing significant hurdles to retain its presence in the global market. The poultry industry is responsible for overcoming the unique problems connected with breeding, hatching, and proper farm care. To overcome these problems, it needs technical assistance that is both qualitative and quantitatively beneficial. In this context, the current paper focuses on the real-time implementation of ERP systems in poultry firms to standardise the operations and bring down the overall cost while keeping control over the material and information flow. The article also describes the different phases of Software as a Service (SaaS) based ERP implementation, covering pre-planning, discovery, value proposition and data collection phases, which are the critical phases of the ERP implementation. As information and technology are rapidly changing and growing with more efficiency, its systems help organisations use cloud computing and blockchain technologies to overcome industrial challenges.
  Keywords: cloud ERP system; enterprise resource planning; poultry operations; SaaS; Value proposition.
  DOI: 10.1504/IJBIS.2021.10042429
   
  
• Supervised and Unsupervised Outlier Detection Machine Learning Algorithms in Wireless Sensor Networks  
  by Alaa Darabseh, Praveen Khethavath 
  Abstract: Outliers influence the quality and reliability of data obtained from wireless sensor networks (WSNs) for a variety of reasons, including the effects of harsh environments and the limitations of processing and communication capacities. In this paper, we implemented and evaluated ten machine learning techniques (both supervised and unsupervised) in terms of their ability to detect outliers in WSNs. A real-world dataset was used to evaluate the results of our study. Our findings show that the best-performing unsupervised algorithms are comparable to supervised algorithms and can be used in real-world applications. This can be highly useful because unsupervised methods overcome the limitations of supervised machine learning in WSNs by not requiring historical data to build a model to detect abnormalities quickly and accurately. As a result, communication overhead will be reduced, resulting in energy savings and increased network lifetime. In addition, the results of our research show that some algorithms outperform others. This is extremely beneficial because the selection of detection algorithms is essential in improving the performance of outlier detectors.
  Keywords: wireless sensor networks; WSNs; machine learning; outlier detection techniques; sensor data; classification; data quality.
  DOI: 10.1504/IJBIS.2021.10042585
   
  
• Using Gamification for Improving Time Reporting  
  by Rita Marques, Bruno Henriques, Miguel Mira Da Silva, Daniel Gonçalves 
  Abstract: Time reporting is an essential process for companies, but often employees fail to timely report the time they spent working on different tasks. To address this problem, we propose an extension of an already existent solution to gamify software development practitioners’ work to make the time reporting task more engaging for employees. This solution was built upon the Jira core mechanism for time tracking and evaluated with a team of five employees in a Portuguese small consultancy group. Results showed meaningful improvements in this team’s practices, particularly for one employee, but these changes must be validated with the team to understand if they occurred due to the gamification solution or due to other external factors. In the future, the solution will be improved based on these findings and evaluated with the same and other teams.
  Keywords: gamification; time reporting; work process; motivation; employee engagement.
  DOI: 10.1504/IJBIS.2021.10042605
   
  
• Design and Implementation of a Recommender System for Smartphone Preferences in Zambia  
  by Darius Bwalya, Douglas Kunda 
  Abstract: With countless brands, models and capabilities of the mobile phones to choose from, the challenge is to have the automated ideal mix of factors or features and how these can be integrated in smartphone recommendation for easy decision making. Therefore, the main objective of the study was to design and implement a recommender web application based on the important feature or preferences that influence users when selecting a smartphone in Zambia. Design science research (DSR) methodology was adopted and in the problem awareness stage a survey was conducted to validate the factors identified in literature as to whether they are important in Zambian context. This was confirmed by the survey and over 60% of respondents recommended development of an application to assist users in smartphone selection. Consequently, a smartphone recommender system was developed using design science research methodology and the results are presented in this paper.
  Keywords: recommender system; smartphone preferences; design science research; DSR; artefact; user centred design; design requirements.
  DOI: 10.1504/IJBIS.2021.10042817
   
  
• The Impact of Digital Inbound Marketing on Digital Marketing Performance  
  by Ali Al- Quran, Ali Bani Khaled, Mohammad Eldahamsheh, Hanan Almomani, Sulieman Al-hawary, Anber Mohammad 
  Abstract: The aim of the study is to determine the impact of digital inbound marketing on digital performance marketing. Digital inbound marketing was conceptualised in terms of digital content marketing, search engine marketing and social media marketing. Data were collected using a questionnaire distributed to a convenience sample of online customers. IBM SPSS 25.0 AMOS 22.0 software was used to perform data analysis. The results pointed out that there were significant effects of the three components of digital inbound marketing on digital performance marketing. In conclusion, for organisations to boost their digital marketing performance, an integrated use of digital inbound marketing components should be followed. Results were discussed, implications were highlighted and recommendations were suggested.
  Keywords: digital inbound marketing; digital content marketing; search engine marketing; SEM; social media marketing; digital performance marketing.
  DOI: 10.1504/IJBIS.2021.10042972
   
  
• Examining Adoption of Mobile Game in Nepal with Extended TAM  
  by Arjun Neupane, Nawaraj Paudel, Keshav Paudel, Tej Bhadur Shahi 
  Abstract: This study examines the relationship between perceived ease of use, enjoyment, social influence, usefulness, flow experience, use context, and behaviour intention to adopt mobile games in Nepalese context through an extended technology acceptance model (TAM). This study uses a quantitative approach to collect mobile users playing mobile games from Kathmandu, Nepal. Structural equation modelling (SEM) is used for statistical analysis, including model measurement and hypothesis testing. The finding demonstrated the significant relationship between perceived ease of use (PEU), perceived enjoyment (PE), and flow (FL) to the positive impact on behaviour intention to play mobile games. This study highlighted the important factor that needs to be considered by the mobile game developer to increase the behaviour intention of the user that needs to focus on PEU, PE, and FL while developing the mobile games. This study offers a theoretical contribution to mobile game developers to assist in developing mobile games.
  Keywords: perceived usefulness; flow; use of context; behaviour intention; mobile games.
  DOI: 10.1504/IJBIS.2021.10043241
   
  
• Developing a cultural  
  by Aysha Saleh Yahya Saleh Alkhalaqi, Hissa Qassim A. Z. Al-Mahmoud, Fatima Abdulla R. A. Al-Naimi, Shaikha Abdulrahman A. A. Al-Thani, Yasmin K. A. Meqdad, Roudha Hassan A. H. Qasmi, Habib Ullah Khan, Khaled A. AlShare, Hiba Bawadi 
  Abstract: The prevalence of diabetes is increasing globally. The risk of developing diabetes complications can be reduced by continuous self-monitoring and following carbohydrate counting (CC) approach. Diabetic patients find difficulty in calculating carbohydrate intake manually. Systems and applications that aid in CC and insulin dose determination are few and no similar systems were created while considering the dietary characteristics and the culture of Gulf cooperation council (GCC) countries. To combat this problem accurately, a culturally sensitive expert system is developed to help insulin-dependent diabetic patients in determining the appropriate insulin doses based on the carbohydrate count. The expert system involved the usage of different food composition tables that incorporate both traditional and international food for better adherence by the patient. After validating using different performance metrics and case studies it was concluded that this system is user-friendly and can be accessed in both English and Arabic languages.
  Keywords: expert system; carbohydrate counting; diabetes; insulin-dependent patient; Qatar.
  DOI: 10.1504/IJBIS.2021.10043345
   
  
• Intelligent Systems and Artificial Intelligence To Enhance Customer Segmentation  
  by Renato Lopes Da Costa, Rui Gonçalves, Bruno Fachada, Leandro Ferreira Pereira, Álvaro Dias 
  Abstract: This study investigates how artificial intelligence, its characteristics, features and limitations enhance customer segmentation. All these aspects were analysed through literature review, and further developed by two methodologies: online questionnaire and interviews. The online questionnaire concluded that, while artificial intelligence’s characteristics and impacts positively influence its implementation in customer segmentation, this type of technology still has limitations that could constitute an obstacle. Regarding the interviews, the main insight was that artificial intelligence is still only perceived as a support in decision making, thus, dependent on humans. However, many employees still look at these technologies as a threat to their workplace, which can lead to resistance in their implementation and incur on unnecessary costs for organisations.
  Keywords: artificial intelligence; marketing strategy; market research; customer segmentation; decision making support.
  DOI: 10.1504/IJBIS.2021.10043346
   
  
• DeLone and McLean Information Systems Success Model: A Literature Review  
  by Mahmoud Kofahi, Haslinda Hassan, Rosli Mohamad 
  Abstract: The rapid advancement of information technology over the last four decades has had a considerable impact on both individuals and organisations. Hence, information systems (IS) success has become one of the most significant topics of interest among researchers and scholars. DeLone and McLean developed the IS success model to provide a complete and extended definition of IS success. The current study provides a comprehensive literature review of prior works that have utilised the model as the theoretical foundation. The analysis covers 102 scholarly articles and conference papers published between 2012 and 2021, as reported in the Scopus database. The findings of the study indicate that the IS success model and technology acceptance model are commonly used together. The weighted analysis of internal variables indicates that information quality and user satisfaction are the best predictors. Meanwhile, perceived usefulness and trust are most commonly used as external variables. The results suggest a lack of moderating and mediating variables used in past research. The results of this study add further to the accumulated existing knowledge of the IS success model, particularly in the aspect of the predictive power of each internal variable and the most frequently used external variables.
  Keywords: DeLone and McLean; information systems; IS success model; literature review; IS success determinants; weight analysis.
  DOI: 10.1504/IJBIS.2021.10043520
   
  
• Performance of online banking and direct effect of service quality on consumer retention and credibility of consumer and mediation effect of consumer satisfaction.  
  by SYED MOHD MINHAJ, Mohd Altaf Khan 
  Abstract: The purpose of this study is to assess the present status of online banking in India. This research paper is an attempt to identify the effect of online banking service quality on consumer retention and the credibility of consumers in India. The data was collected using Google Forms via an online questionnaire with a sample size of 176 respondents. A quota sampling technique was used, structure equation modelling (SEM), convergent and discriminant validity, and model fitness were achieved through Smart PLS 3. The findings reveal that service quality has a significant direct effect on consumer retention, credibility of consumers, and consumer satisfaction, with a significant mediation effect of consumer satisfaction on consumer retention and credibility of consumers.
  Keywords: online banking; service quality; retention; credibility.
  DOI: 10.1504/IJBIS.2021.10043829
   
  
• Perceptual Issues of HRIS Adoption  
  by Pankaj Kumar Gupta, Prabhat Mittal 
  Abstract: Given the pace of technological developments, the HR function is acquiring an IT-enabled strategic posture embedded in the corporate management information system with a variety of platforms and uses. Human resources and information are the prime resources for the success of any organisation in a dynamic business environment. Human resources are changing its face from an operational routine task to a strategic one. This has bestowed responsibility on human resource information system (HRIS) to change its face from a mere administrative facilitator to a decision supporting tool. This paper examines the impact of perceived barriers and benefits on the extent of implementation of HRIS in Indian companies and attempts to highlight the perception of HR managers and staff towards the adoption of HRIS. Analysis of the survey results on Indian companies reveals that active involvement of the HR practitioners, adequate training, and change of attitude to consider HRIS as strategic business activity can significantly improve the efficiency of organisations.
  Keywords: human resource; human resource information system; HRIS; strategy; structural equation modelling; SEM; perceived barriers; perceived benefits.
  DOI: 10.1504/IJBIS.2021.10043833
   
  
• EfficientNet Deep Learning Model for Pneumothorax Disease Detection in chest X-rays Images  
  by Aya Migdady, Ahmad Al-Aiad, Ra'ed M. Al-Khatib 
  Abstract: Pneumothorax is a serious, life-threatening disease resulting from a collapsed lung and respiratory distress that requires prompt and effective diagnosis. The common diagnoses of pneumothorax disease are reliant on chest X-rays. Automatic ways that can fulfill the accurate detection of pneumothorax from chest X-ray images assist radiologists in diagnoses and treatment. In this paper, convolution neural network (CNN) model instituted on the EfficientNet-B3 architecture was proposed to train a dataset of pneumothorax chest X-ray images. The used pneumothorax dataset has 2,027 chest X-ray images. Data augmentation processes have been applied before feeding the main proposed model with these data. This prepossessing technique is required to solve data imbalanced issues and to enhance utmost accuracy. The dataset is split into training and testing data with 80:20 ratios. The experimental outputs of this study proved that the proposed approach can accurately detect the afflicted pneumothorax chest X-rays images with the best accuracy results reaching 97.26% at the testing dataset, when compared with other state-of-the-art models. Consequently, these strong outcomes with the efficient performance of final obtained outcomes will increase the impact of clinical training and patient nursing.
  Keywords: artificial intelligence; convolution neural network; CNN; EfficientNet-B3; data augmentation; X-ray images; pneumothorax.
  DOI: 10.1504/IJBIS.2021.10043879
   
  
• The nexus between sustainable e-HRM systems and organizational performance with moderating effect of e-HRM service quality  
  by Mohammad Jaouadi, Mohammad Ali Yamin 
  Abstract: Over the last few decades organisations have gained benefits through electronic human resource practices (e-HRM). However, sustainability of these e-HRM practices is still big challenge for organisations as well as for e-HRM users. Therefore, current research develops an integrated research model with the help of adaptive structuration theory, ability enhancing, opportunity enhancing, motivation enhancing and e-HRM strength to investigate sustainable e-HRM system. The research framework is empirically tested with dataset of 390 responses collected from human resource managers. For factor analysis the structural equation modelling (SEM) approach is employed. Findings of the empirical analysis revealed that sustainable e-HRM system is jointly measured by ability enhancing, opportunity enhancing, motivation enhancing, e-HRM strength and appropriation and revealed substantial variance R2 53.8% in sustainable e-HRM system. Practically, this research suggest that HR managers should pay attention on e-HRM user’s ability enhancing, opportunity enhancing and motivation enhancing to develop sustainability of e-HRM system.
  Keywords: adaptive structuration theory; AST; ability enhancing; opportunity enhancing; motivation enhancing; e-HRM service quality; sustainable e-HRM system.
  DOI: 10.1504/IJBIS.2021.10043977
   
  
• The influence of HR practices and diffusion of innovation theory towards adoption of internet of things (IOT) in SMEs  
  by Mohammad Swaiess 
  Abstract: Financial technology (FinTech) services are becoming more prevalent during the COVID-19 pandemic, leading individuals to adopt digital methods for financial transactions worldwide. But its future implications are still doubtful. The current study analyses the relationship between the customers’ behavioural intentions and continuance of FinTech services with the mediating role of confirmation and satisfaction during their perceptions in the post-usage phase. Data were collected through questionnaires survey from the targeted respondents after pre-screening questions about the FinTech services. The findings revealed that perceived usefulness, security, risk, and knowledge significantly affect FinTech continuance through confirmation and satisfaction. The data were further divided according to user types of technology adopters. The results revealed that late adopters require more knowledge about FinTech services for continuing their usage. These findings will be helpful for FinTech companies to develop customer retention strategies that will drive customers towards its continuous usage and help companies yield high returns.
  Keywords: behavioural customer intention; financial technology; expectancy confirmation model; continuance intention; digital methods; financial transactions; perceived risk.
  DOI: 10.1504/IJBIS.2021.10043986
   
  
• Global E-Readiness as a Foundation for E-Government and E-Business Development: The Effect of Political and Regulatory Environment  
  by Ibrahim Osman Adam, Muftawu Dzang Alhassan 
  Abstract: This study explores the level of global e-readiness and how this serves as the basis of e-government and e-business development. Whilst extant research has sought to explore the drivers of e-government and e-business development from core tangible infrastructural perspectives, this study departs from this view and perceives e-readiness as both tangible and intangible infrastructure needs that can serve as the conduit of global e-government and ebusiness development. Using cross-sectional data drawn from several archival sources from 135 countries for the year 2016, we employ partial least squares structural equation modelling as the analytical tool and using technology-organisation-environment framework as our theoretical lens to interrogate our model. Our findings show that a country’s e-readiness positively influences both its e-business and e-government development. Furthermore, we show that a country’s political and regulatory environment plays a key role in mediating the relationship between e-readiness and e-government development and not e-readiness and e-business development. Some implications for research, policy, and practice are presented.
  Keywords: electronic readiness; electronic business; electronic government; political and regulatory environment.
  DOI: 10.1504/IJBIS.2020.10043987
   
  
• Will I Use It Again? Impact of Customer Behavioural Intentions on FinTech Continuance under Expectation Confirmation Theory  
  by Hafsa Hamid Gill, Kanwal Iqbal Khan, Syed Khurram Abbas Sherazi 
  Abstract: Financial technology (FinTech) services are becoming more prevalent during the COVID-19 pandemic, leading individuals to adopt digital methods for financial transactions worldwide. But its future implications are still doubtful. The current study analyses the relationship between the customers’ behavioural intentions and continuance of FinTech services with the mediating role of confirmation and satisfaction during their perceptions in the post-usage phase. Data were collected through questionnaires survey from the targeted respondents after pre-screening questions about the FinTech services. The findings revealed that perceived usefulness, security, risk, and knowledge significantly affect FinTech continuance through confirmation and satisfaction. The data were further divided according to user types of technology adopters. The results revealed that late adopters require more knowledge about FinTech services for continuing their usage. These findings will be helpful for FinTech companies to develop customer retention strategies that will drive customers towards its continuous usage and help companies yield high returns.
  Keywords: behavioural customer intention; financial technology; expectancy confirmation model; continuance intention; digital methods; financial transactions; perceived risk.
  DOI: 10.1504/IJBIS.2021.10043998
   
  
• The Perception of Telemedicine in Thailand: The Attitude Change during COVID-19 Pandemic  
  by Sumate Permwonguswa 
  Abstract: Prior to 2019, telemedicine technology was not widely adopted in Thailand due to the infrastructure and the attitude of both healthcare providers and patients in Thailand. There was little awareness of the technology among Thai people. However, during the COVID-19 pandemic, telemedicine has been introduced to Thai people in many public and private hospitals to help reduce disease transmission. This initiative has also increased the awareness of telemedicine in Thai society. Therefore, this paper investigates the attitude change towards telemedicine in Thailand. The findings suggest that self-efficacy, trust, and intention to use telemedicine app increased significantly, and that risk perception has started to play a role after the pandemic. Several between-group comparisons were also conducted. The results and conclusions as well as the business implications are discussed.
  Keywords: telemedicine; telemedicine app; mobile app; telehealth; attitude change; COVID-19; pandemic; self-efficacy; trust; perceived risk.
  DOI: 10.1504/IJBIS.2021.10044045
   
  
• Artificial Fish Swarm Algorithm based Multilayer Perceptron Model for Customer Churn Prediction in IoT with Cloud Environment  
  by Venkatesh S, M. Jeyakarthic 
  Abstract: This paper develops a new optimal feature selection and classification-based CCP model in IoT and cloud environment. The proposed model involves four main processes namely IoT-based data acquisition, preprocessing, feature selection (FS) and classification. Here, the hill climbing (HC) with social spider optimisation (SSO) algorithm is applied as a feature selection, where HC is incorporated into the SSO algorithm to improve the convergence rate and local searching capability. Subsequently, the feature reduced data undergo classification by the use of artificial fish swarm algorithm (AFSA) tuned multilayer perceptron (MLP) called MLP-AFSA. The proposed model additionally involves an alarming process to alert the organisation when higher churn rate is attained. The presented MLP-AFSA-based CCP model has reached a maximum predictive accuracy of 93.52%, which is further increased to 94.93% by the inclusion of HC-SSO-based feature selection process.
  Keywords: customer churn; cloud; IoT; machine learning; feature selection; parameter tuning.
  DOI: 10.1504/IJBIS.2021.10044076
   
  
• E-commerce Negotiation Based on Intelligent Agents and Mathematical Interpolation  
  by Faysal Mekkaoui Alaoui, Abdelaziz El Hibaoui 
  Abstract: The actual model of electronic commerce offers only exploring the price of products and the unique method to attract customer is to discount price or reduce the delivery date or good terms of the warranty. Then, the buyer has no way to negotiate the price by cons the seller has two possibilities: to sell or not to sell. This impacts negatively on its profits or makes them extremely limited. This paper aims to deliver a solution to this issue by introducing an automated negotiation in e-commerce platforms using intelligent agents and mathematical interpolation to reach a compromise between a seller and the buyer. To achieve this goal, we elaborate a negotiation model based on intelligent agents and mathematical interpolation. Thus and according to obtained results, our solution helps to resolve the conflict of interest and provide an optimal price meeting with the expectations of both the seller and the buyer.
  Keywords: electronic commerce; intelligent agents; mathematical interpolation; spline cubic; gravity centre.
  DOI: 10.1504/IJBIS.2021.10044134
   
  
• A Simplistic Model for Spammers Detection in Social Recommender Systems  
  by Loucif Hemza 
  Abstract: The dramatic growth of social networks and the diversity of their user base give the web business companies an unprecedented opportunity to stay well ahead of competition. Companies like Amazon, Alibaba, and other web business leaders are still investing huge amounts of money in order to improve their social network-based online recommender systems. Detecting and filtering spammers (aka fake recommenders) who post messages containing malicious commercial URLs in these environments is becoming a serious issue that the social network analysis community must confront. In this paper, we introduce a simplistic and effective machine learning based classifier to detect spammers. A multi-layer perceptron (MLP) with backpropagation training constitutes the core of the classifier. Using a public dataset of real-world social networks, the experiments demonstrated the possibility of reaching high accuracy levels with no more than two hidden layers.
  Keywords: spammer detection; recommender systems; back propagation; multi-layer perceptron; MLP.
  DOI: 10.1504/IJBIS.2021.10044172
   
  
• Analysis and selection of investment objects and optimization of investment volumes  
  by Dulat Shukaev, Chingiz Kussainov, Aggey Simons 
  Abstract: In their investment decisions commercial banks and private funds traditionally evaluate projects-based solely on their private returns, while often neglecting social and environmental concerns. More recently, however, climate change fears and rising inequality prompted calls for more environmentally and socially responsible governance of investment activities (ESG initiatives). For example, numerous pension funds and development agencies started shifting investment priorities away from fossil fuels toward renewable energy production. These efforts are hindered by the absence of well-developed techniques for evaluating investment projects in terms of their social and environmental impacts. This study investigates and outlines possible strategies for integrating social and environmental priorities into an investment selection process. We developed project selection and evaluation processes that a national development agency or a public fund could employ to enhance social effectiveness of its investment activities. More specifically, our general pre-investment evaluation procedure includes algorithms for determining optimal investment portfolios, taking in account both standard financial profitability criteria and ESG priorities.
  Keywords: investment analysis; ESG priorities; Borda method; expert evaluations; investment portfolio optimisation; expansion method.
  DOI: 10.1504/IJBIS.2021.10044272
   
  
• Segmenting fintech users using a two-step cluster analysis.  
  by Syadiyah Abdul Shukor 
  Abstract: Fintech, the abbreviation for financial technology, is a broad category that refers to the innovative use of technology in the design and delivery of financial services and products. This study aims to identify fintech user segments based on demographic and psychological variables in the adoption of fintech: trust, attitude, perceived ease of use, perceived usefulness and intention to use fintech. Data were collected via a survey questionnaire distributed to Malaysian consumers, aged over 18. A total of 350 responses were received and analysed. A two-step cluster analysis uncovered three groups:
  Keywords: fintech; segmentation; two-step cluster; Malaysia.
  DOI: 10.1504/IJBIS.2021.10044305
   
  
• Examining the intention to use mobile banking: an expansion of the unified theory of acceptance and use of technology with information quality  
  by Wiwit Apit Sulistyowati, Ibrahim Alrajawy, Osama Isaac, Azam Abdelhakeem 
  Abstract: Mobile banking is one of the bank services that has adapted to technological advancements in order to make banking transactions more convenient. In Indonesia, however, digital banking is advancing rapidly, but
  Keywords: intention to use; information quality; Indonesia; mobile banking; technology adoption; unified theory of acceptance and use of technology; UTAUT.
  DOI: 10.1504/IJBIS.2021.10044422
   
  
• Towards a tridimensional model to measure the digital maturity of industrial small and medium enterprises  
  by BENJAMIN DETHINE, Davy MONTICOLO, Daniel GALVEZ, Manon ENJOLRAS 
  Abstract: The digital transformation is a movement that affects many fields, from health to industry to finance. If most companies have understood the need to integrate this movement into their strategy, some face difficulties understanding the need to adapt and take these changes into account in their development. This is particularly the case for small companies engaging in their digital transformation. These profound changes then require the implementation of action plans, the mobilisation of additional resources, investments, new human resources, and evolutions in business practices. The literature shows that the assessment of competencies and the assessment of organisational capacity are part of the measurement of digital maturity. Considering small and medium-sized industrial companies and highlighting their characteristics, the study will present a global model based on three dimensions, organisational, human, and digital, to measure the digital maturity of these companies to be assessed through practices.
  Keywords: digital transformation; evaluation; framework; industrial SME; digital maturity.
  DOI: 10.1504/IJBIS.2021.10044431
   
  
• Blockchain in the reverse agrochemical supply chain: a systematic mapping study.  
  by Emilano Monteiro, Rodrigo Da Rosa Righi, Jorge Luis Victoria Barbosa, Lucas Policarpo, Antonio Alberti 
  Abstract: A product supply chain represents the end-to-end path from a factory to the final consumer. Specific chemical packaging unsuitable for use must return to the manufacturer for disposal or recycling. Agrochemical products appear in this scope. Disruptive technologies are being employed to identify the trajectories of these products. Blockchain appears as one of the most innovative. However, no literature reviews focus on this joint combination of blockchain for agrochemical products. This article presents a systematic literature review. We conducted a systematic literature review to analyze academic articles between 2016 and 2020, and the process resulted in a total of 99 papers analyzed. We summarise our contributions as two-fold: 1) an analysis of the state-of-the-art agrochemical products reverse supply chain and the use of blockchain, highlighting challenges and trends; 2) a novel taxonomy to support researchers, government, and retail to address blockchain with agrochemicals.
  Keywords: blockchain; traceability; reverse supply chain; product life cycle; agrochemicals.
  DOI: 10.1504/IJBIS.2021.10044483
   
  
• KNOWLEDGE SHARING AS A SIGNALING MECHANISM: IMPACT ON PERCEIVED PSYCHOLOGICAL SAFETY TOWARD HEALTH IT-ENABLED PATIENT-CARE WORK  
  by Roopa Raman 
  Abstract: We investigate knowledge flows as signalling mechanisms shaping knowledge recipients psychological safety towards health information technology (HIT)-enabled patient-care work. In large hospital systems, HIT-enabled patient-care work is complex and involves interdependent collaboration between people. We focus on two different kinds of knowledge that people share amongst each other as they engage in HIT-enabled patient-care work requests for problem-specific help/advice and unsolicited, but helpful, tips/tricks/insights and the social networks underlying these flows, namely help-seeking networks and voluntary contribution networks. Drawing on social network theory and knowledge management literature, we identify the positions within each social network that impact knowledge recipients psychological safety. Social network data were collected from clinicians across 27 inpatient patient-care units, and analysed using generalised estimating equations. In voluntary contribution networks, in-degree centrality and in-closeness centrality impacted the psychological safety of knowledge recipients, while in help-seeking networks, only in-degree centrality had an effect on psychological safety.
  Keywords: knowledge networks; health information technology; HIT; network centrality; psychological safety; curvilinear relationship; multilevel survey research.
  DOI: 10.1504/IJBIS.2021.10044485
   
  
• Ranking the Blocking Keys for Data Deduplication in Information Systems  
  by Asif Sohail, Syed Waqar Jaffry 
  Abstract: Data de-duplication is an essential activity in data integration and data cleansing. It identifies and removes the disguised duplicates in a dataset. Blocking is an established technique for reducing the inherent quadratic complexity of de-duplication. Blocking gathers the potential matching records in the same block on the basis of a blocking key. The results of blocking fluctuate considerably when different blocking keys are employed. Hence, it becomes extremely important to select an appropriate blocking key for maximising the efficacy and efficiency of blocking. The proposed technique ranks the attributes of a dataset with respect to their usability as a blocking key. We have introduced a novel correlation measure called R-score for computing correlation between gold rankings and computed rankings of the blocking keys. The proposed technique is evaluated using benchmark datasets and the experimental results confirm that the proposed technique outperforms the existing techniques.
  Keywords: data integration; data cleansing; blocking; candidate record pairs; rank correlation; promising attributes; reduction ratio; recall.
  DOI: 10.1504/IJBIS.2021.10044941
   
  
• Self-Service Technologies (SSTs) experience, customers' satisfaction and reuse intention in retail banking: Evidence from Nigeria  
  by Chidera. C. Ugwuanyi, Chukwunonso Oraedu, Shedrack Moguluwa 
  Abstract: With the emergence of SSTs across retail banking services, several calls have been made to investigate customer experience on the use of SSTs and to deepen understanding of the dimensionalities of the experience construct and how they affect customers’ behaviour. It is on this backdrop that this study sets out to examine bank SSTs experience and its effect on satisfaction and reuse intention. The paper also examined the indirect effect of satisfaction in the relationship between customers experience and reuse intention. A web-based survey approach was utilised to sample bank SSTs users in a university community setting. The partial least square structural equation modelling was used to analyse the proposed model. Results show the ability of the two dimensions of customer experiences modelled in this paper to strongly influence customers’ satisfaction and reuse intention. Also, the controlled analyses revealed indirect relationships between the experience constructs and reuse intention.
  Keywords: self-service technologies; SSTs; customer experience; retail banking; reuse intention; customer satisfaction; Nigeria.
  DOI: 10.1504/IJBIS.2022.10044949
   
  
• Development of Sustainability Assessment framework for Hospitals using Multi-Grade Fuzzy  
  by Albi Thomas, M. Suresh 
  Abstract: The primary aim of this paper is to develop sustainability assessment framework for hospitals. The conceptual framework is developed with six enablers, 16 criteria and 60 attributes. Multi-grade fuzzy is used for sustainability assessment and importance performance analysis (IPA) approach is used for classification of attributes. The sustainability index of the case hospital is 78 i.e., highly sustainable. The study identified 14 weaker attributes to be taken into consideration for improving the sustainability level. This assessment framework will help the hospital managers to enhance the sustainability level of the hospitals.
  Keywords: sustainability; assessment; technological sustainability; hospitals; multi-grade fuzzy; importance performance analysis; IPA.
  DOI: 10.1504/IJBIS.2021.10044950
   
  
• SAP system implementation: A case study in Carrefour Turkey  
  by Adnan Corum 
  Abstract: Enterprise resource planning (ERP) systems are modular application software with a central database. They provide integrated and multi-functional business environment to companies. They integrate all departments and functions across a company combining business and information technologies concepts. Users can reach to real time, accurate, one-source, and online information. SAP Company is the pioneer ERP system vendor in the world. This paper presents the implementation of SAP system at Carrefour Turkey with the details of the project phases. With the investment of around $14 million in the field of technology, Carrefour Turkey completed the SAP transformation project. The project was completed in ten months with intensive teamwork. They transformed the existing information technology structure into a flexible infrastructure that supports localised, scientific retailing, and fast business decisions. New system is offering business intelligence features for the data analysis to develop new insights.
  Keywords: enterprise resource planning; ERP; enterprise systems; information systems; SAP; implementation; Turkey.
  DOI: 10.1504/IJBIS.2021.10044987
   
  
• How Artificial Intelligence Digital Can Improve Digital Marketing  
  by Leandro Ferreira Pereira, Daniel Tomas, Álvaro Dias, Renato Lopes Da Costa, Rui Gonçalves 
  Abstract: Recent technological advances have allowed the growth of digital marketing, creating the challenge of big data. AI emerges to deal with this paradigm and marketing becomes a natural beneficiary, as it takes advantage of data in its processes. This research aims to evaluate the potential impact of AI on digital marketing. This knowledge could accelerate the adoption of AI technologies, revolutionising the area. The following techniques were developed: survey for digital marketing professionals to identify their needs; research of AI solutions; coverage and match analysis between needs and solutions. This research establishes which digital marketing aspects need further development and recommends response solutions: Bloomreach Experience Cloud for customer experience; Alli AI and Market Brew for SEO; concured for content marketing; Automizy for e-mail marketing; Cortex for social media marketing; Adobe Advertising Cloud for online advertising; Conversica and drift automation for communication; SAS VDMML and SAS VF for data analysis.
  Keywords: artificial intelligence; marketing; digital marketing.
  DOI: 10.1504/IJBIS.2021.10045064
   
  
• Exit Interview: A Tool for Employee Retention  
  by Dhanashree Tharkude, Aparna Dixit, Jacob Alexander 
  Abstract: The study aims to understand the current process of exit interviews carried out by the organisation and identify any deficiencies in the process. The study also aims at identifying more effective ways to conduct exit interviews for their proper impact and utility. The systematic review of literature highlighted how to make exit interviews more effective. Further, the efficiency of the process can be improved with the help of multiple tools/techniques. Since the scope of the study is limited to the state of Maharashtra. The findings of the study apply only to that area. The framework of the review of literature and results provide insights to the professionals about flaws in the existing exit interview process and ways to make it practical for its successful implementation in the current business context and provides insights into current trends and future research directions.
  Keywords: literature review; exit interview; outsourcing; stay interview; alternative approach.
  DOI: 10.1504/IJBIS.2022.10045193
   
  
• Gender Impact on Online Classroom Social Networks for Working Professionals  
  by Roger McHaney, Iris Reychav, Lutfus Sayeed, Lin Zhu 
  Abstract: This study investigated gender impact on interactions within an online social network composed of Professional Master of Business Administration (PMBA) students. The findings enable educators to construct more effective online social networks. Participants engaged in discussions using a platform called VoiceThread. These discussions comprised text, audio and video components. Emerging dynamics were examined with social network analysis (SNA) and sentiment analysis (SA) techniques. Social presence and discussion quality characteristics were based on collected data. Among the findings were that males made multimedia posts more commonly than females. Responses to multimedia posts typically were higher quality suggesting greater social presence related to more engaged discussions. Regarding SNA outcomes, higher centrality correlated with comment positivity. Among the unique findings, males responded to female-initiated threads more negatively than did other females. In conclusion, our results indicated that gender impacts classroom discussions. Ultimately, educator awareness of this impact can enhance equitable use of social networks in higher education.
  Keywords: online learning; social media; network analysis; gender; social presence; gender; working professional; online discussions.
  DOI: 10.1504/IJBIS.2022.10045195
   
  
• Exploring employees’ intention to adopt telecommuting technology  
  by Gopinath Krishnan, Sudharsan Sezhian 
  Abstract: Telecommuting or work-from-home facilitates flexible working arrangements for employees; also, since there is no commute involved, particularly car commute, it also promotes sustainable travel behaviour. Despite the growth and popularity of this mode of working, there is a gap in understanding regarding the adoption of telecommuting technologies. Hence, this study has developed a novel research model that integrates the technology acceptance model (TAM) with the diffusion of innovation (DOI) theory and has extended it with the constructs, security risk and resistance to change, in order to advance the understanding of the adoption of telecommuting technologies. The research model was estimated using the structured equation modelling (PLS-SEM) based on empirical data (N = 332). The results revealed perceived usefulness, perceived ease of use, attitude, compatibility, and resistance to change, as the predictors of behavioural intention. Compatibility emerged as a predictor of perceived ease of use. Further, perceived ease of use and compatibility emerged as antecedents of perceived usefulness. The study contributes to the literature on telecommuting adoption by extending the TAM and DOI. The findings of the study would provide valuable insights for the designers, practitioners, and policymakers involved in the development of telecommuting technologies.
  Keywords: telecommuting technology; technology acceptance model; TAM; diffusion of innovation theory; security risk; resistance to change; dual-factor model.
  DOI: 10.1504/IJBIS.2022.10045196
   
  
• An investigation on the influence of YouTube advertising on the purchase intention of nutritional drinks during COVID pandemic  
  by Nagarajan PS, Martina A 
  Abstract: In the era of social media, YouTube platform is substantially used by marketers and consumers for their preferred needs. Inter alia, hedonic motivation and persuasiveness of consumers and advertisements respectively have been probed to explain the purchase intention. Ducoffe’s web advertising model was employed and a cross-sectional design was administered to collect data from 517 YouTube users in India. Structural equation modelling was used to analyse the data. The results indicate that credibility and entertainment are the two major factors that lead to persuasiveness and befit the hedonic needs of the consumers during COVID pandemic which finally results in consumers’ purchase intention. This research signifies that the advertisements played a significant role in luring the consumers towards nutritional drinks, during ordinary situations. Further, it was empirically proved that the frequency of viewing YouTube significantly impacts hedonic motivation and persuasiveness and ultimately results in the purchase intention of nutritional drinks.
  Keywords: YouTube advertising; Ducoffe’s web advertising; hedonic motivation; persuasiveness; informativeness; consumers purchase intention; nutritional drinks.
  DOI: 10.1504/IJBIS.2021.10045249
   
  
• Factors Affecting the Adoption of Mobile Grocery Delivery Applications (MGDAs)  
  by Ahmad Rabaai 
  Abstract: Studies on mobile grocery delivery applications (MGDAs) are scarce and still in the nascent stage. The current study is the first empirical study that investigates customers’ behavioural intension to adopt MGDAs. This study extended the unified theory of acceptance and use of technology (UTAUT2) with important factors relevant to the MGDAs context, such as perceived risk, convenience, and delivery experience. Data was collected from 393 individuals in the State of Kuwait and were analysed using partial least squares structural equation modelling (PLS-SEM). The main empirical results confirmed that users’ behavioural intension to adopt MGDAs is predicted by performance expectancy, effort expectancy, hedonic motivations, and delivery experience. The moderating role of gender was also examined. The permutation-based test results confirmed there are no statistically significant differences between males and females in their behavioural intensions to adopt MGDAs. Based on the study results, theoretical and practical contributions are provided for scholars, service providers, stores owners, and apps’ developers.
  Keywords: behavioural intension; mobile grocery delivery apps; MGDAs; gender; UTAUT2; Kuwait.
  DOI: 10.1504/IJBIS.2021.10045250
   
  
• A spreadsheet-based decision support tool to assist small and medium sized e-waste and lithium-ion battery recyclers for economic assessment  
  by Kiran M, Shanmugam Prasanna Venkatesan 
  Abstract: In many developing countries, including India, informal e-waste recyclers offer competitive prices as compared to formal recyclers. To manage this price competition, the small and medium-sized formal recyclers store the collected e-waste until the required volume is sourced for economical processing. Typically, the recyclers rely on their personal experience to decide the required volume for economical processing, albeit e-waste recycling is a relatively new business. The contributions of this research are: 1) to identify the factors that affect economic recycling of e-waste/lithium-ion batteries (LIBs) through literature and interactions with formal e-waste recyclers in India; 2) to develop and illustrate a simple, inexpensive, and easy to use open source decision support tool in Microsoft Excel spreadsheet to assist the formal recyclers in the economic assessment of e-waste/LIBs to maximise profit. The developed tool consists of three modules: 1) user interface; 2) data storage worksheets; 3) optimiser.
  Keywords: cost analysis; decision support systems; environmental management; mathematical programming; modelling; optimisation; lithium-ion batteries; LIBs.
  DOI: 10.1504/IJBIS.2022.10045324
   
  
• A novel framework for automatic incentivised review detection  
  by Syed Abdullah Ashraf, Aariz Faizan Javed, Pradip Kumar Bala, Rashmi Jain, Zainab Fatma 
  Abstract: Incentivised reviews are a permanent threat to the credibility of information available on a platform. They not only interfere with the consumer decision-making process but also impact the market dynamics. We have proposed a rule-based method for identifying incentivised reviews in the hospitality domain. We then extracted several features from the meta-feature. These features were transformed using mathematical functions. The study showed that power transformation along with XGBoost is best suited for the task. Our work has both practical and managerial implications. Our model is lightweight, scalable, and generalisable. Moreover, platforms can use our model with a fake review detection method to safeguard the interest of honest, hardworking sellers and buyers looking for trustworthy information. Based on our research, our work is among the first few to address incentivised review detection in the hospitality sector.
  Keywords: user-generated content; incentivised reviews detection; incentivised reviews identification; natural language processing; text processing; Yelp; Amazon; Tripadvisor; trust; credibility.
  DOI: 10.1504/IJBIS.2022.10045391
   
  
• Examining the role of untact innovative technologies in restaurants and consumer purchase intention: Tackling with post COVID-19 circumstances  
  by Bader Alyoubi 
  Abstract: The current research sought to investigate that how untact innovative technologies, subjective norms and perceived behavioural control impact restaurant customers purchase intention during COVID-19 pandemic. The research survey is conducted through online platforms including social media websites and direct e-mails to respondents. For data analysis 370 valid questionnaires were used. Structural equation modelling approach was employed for data analysis. Findings of the structural equation modelling approach revealed that collectively subjective norms, perceived behavioural control, expected cleanliness, lower employee interaction and customer attitude explained R2 77.1% substantial variance towards customer purchase intention. This study suggests that policy makers should introduce untact innovative technologies that will reduce employee interaction with customers. Similarly, cleaning through ultraviolet radiation will encourage customers to purchase food in untact environment during COVID-19 pandemic. This research is significant as it provides innovative solution for hospitality industry during and post COVID-19 pandemic crisis using untact innovative technologies.
  Keywords: untact innovative technologies; employee interaction; expected cleanliness; subjective norm; perceived behavioural control; purchase intention; COVID-19.
  DOI: 10.1504/IJBIS.2021.10045475
   
  
• An Empirical Investigation on Continuance Intention for E-Commerce among SMEs  
  by Xiu Ying Pan, Seng Chee LIm, Seng Poh LIm, Chen Kang Lee, Joi San Tan, Jit Theam LIm 
  Abstract: Electronic commerce (e-commerce) is one of the innovation technologies by combined computer and telecommunication networks used to improve economic status for developing countries especially Malaysia. E-commerce brings benefits to small and medium sized enterprises (SMEs), it improves the business operations and pace the speed of nation’s economy. There are numerous SMEs have adopted e-commerce into their business operation. However, part of them continues to use it while some of them are hesitated to use it. The discontinuity of using e-commerce in an organisation affects the business operation and performance. Thus, there is a need to carry out a study and promote continuance usage of e-commerce among SMEs. The main objective of the study is to identify various factors affecting e-commerce continuance intention among SMEs in Northern region of Malaysia included Perak and Penang. Throughout the research finding, it shows perceived benefits, organisational readiness, and external pressure has significant influence on e-commerce continuance intention among SMEs. This study provides some critical implications for government agencies and non-profit organisations in promoting continuance usage of e-commerce for SMEs to speed up the mission in order to perform digitisation in Malaysia.
  Keywords: e-commerce; electronic commerce; adoption; continuance intention; SMEs; TOE framework; partial least square structural equation modelling.
  DOI: 10.1504/IJBIS.2022.10045694
   
  
• The mediating role of innovation in the relationship between corporate governance and organization performance  
  by Mahmoud Aleqab, Rana Airout, Qasim Alawaqleh, Nashat Almasria 
  Abstract: This study primarily aimed to present the impact of corporate governance and innovation on the performance of industrial firms. The study developed and proposed a conceptual model based on relevant studies in literature. The required data was collected from financial SMEs in Jordan with the help of questionnaire surveys, after which they were analysed using PLS-SEM to obtain empirical findings. On the basis of the results, there is a positive relationship between corporate governance and organisational performance, and between innovation and organisational performance. The result also showed the key role that innovation plays on the corporate governance-organisational performance relationship. The study has implications to policymakers in light of establishing strong policies to ensure effective corporate governance is practice in the enterprises for optimum performance.
  Keywords: innovation; corporate governance; organisation performance.
  DOI: 10.1504/IJBIS.2021.10045814
   
  
• What makes organizations resilient during COVID-19 pandemic The essential role of strategic human resource management practices and IT infrastructure  
  by Mohammad Ali Yamin, Mehmet KIZILOGLU 
  Abstract: The role of strategic human resource management (SHRM) has been validated in achieving organisational performance. Nevertheless, SHRM factors have been rarely studied to investigate organisational resilience and sustainability. Drawing on the task technology fit model, IT infrastructure and strategic human resource factors this study develops an integrative research model to investigate organisational resilience and sustainability during COVID-19 pandemic. In addition to that the moderating effect of employee psychological health is conceptualised between organisational resilience and sustainability. Using convenience sampling approach 320 questionnaires were retrieved for inferential analysis. Results indicate significant impact of employee ability, opportunity enhancing, motivation enhancing, IT infrastructure, technology and task characteristics in measuring organisational resilience with substantial variance R2 78.8%. Practically, this research suggests that during COVID-19 pandemic organisational resilience and sustainably could be achieved through adequate IT infrastructure, task characteristics and employee psychological health.
  Keywords: strategic human resource management; task characteristics; technology characteristics; IT Infrastructure; psychological health; organisational resilience; sustainability; COVID-19.
  DOI: 10.1504/IJBIS.2022.10046052
   
  
• Big Data and IoTs: Security and Standard Issues  
  by David C. Chou 
  Abstract: Big data has gained its importance nowadays. The internet of things (IoTs) is a technology of the future that can generate tons of data through many meaningful IT applications. Data generated by IoTs applications must be stored and analysed through big data technology. In order to safeguard the operation and to improve the value of big data, security protection is a must work to do. This paper discusses how big data handles IoTs practice, its infrastructure framework, and their associated security issues. The issue of IoTs standardisation is also discussed. A list of directions to resolve the related security concerns has been proposed in the study.
  Keywords: big data; internet of things; IoTs; cloud computing; infrastructure framework; cybersecurity; IoTs standards.
  DOI: 10.1504/IJBIS.2022.10046117
   
  
• An Experimental Study of Fake News Detection on Covid-19 Twitter data and a Conceptual framework for the Early Detection and Prevention of Fake News in Social Media  
  by P. Sridevi, Sobha Gopi Vimalam 
  Abstract: Social media with high information diffusion has become the dominant source of fake news with questionable veracity. The paper aims to provide reliable information through social media during emergencies. The study conducted an experimental analysis to detect fake news on social media, using different machine learning and deep learning techniques. It also addressed the reliability of social media data through sentiment analysis and statistical analysis for pattern detection. The experimental study revealed that support vector machine, logistic regression, random forest, and passive aggressive classifiers, long short-term memory, and bi-LSTM showed the best results. Besides, it was observed from the sentiment analysis that, there were more neutral than negative tweets. The paper contributed a conceptual model of hierarchical classification for early detection and prevention of fake news in social media by analysing the user, content and context, thereby providing reliable social media data, and facilitating decision-making without any ambiguity during disasters.
  Keywords: fake news detection and prevention; COVID-19; deep learning; machine learning; emergency management; IT capabilities; big data; social media; information diffusion.
  DOI: 10.1504/IJBIS.2022.10046290
   
  
• Employee Turnover Intention: An Empirical analysis based on Workplace dimensions  
  by Kiran Mayi, Vedala Naga Sailaja 
  Abstract: This study focuses on impact of workplace dimensions (job stress, job satisfaction, and organisational commitment) on employee turnover intention in the hotel industry. The study adopted a quantitative research approach and collected primary data through a questionnaire from the employees of 3-star and 4-star hotels in Hyderabad, Telangana. A bivariate correlation and structural equation modelling (SEM) is used to identify the workplace dimensions impacting employee turnover intention. The findings thus stated that
  Keywords: workplace dimensions; job stress; job satisfaction; employee turnover intention; ETI; organisational commitment; hotel industry.
  DOI: 10.1504/IJBIS.2022.10046584
   
  
• Does Social Media Advertising Value Influence Women's Dietary Supplement Purchase Intentions? The Mediating Role of eWOM.  
  by Hani Al-Dmour, Shatha Sweiti, Farah Shishan, Rand Aldmour, Manaf Al-Okaily 
  Abstract: This study aims to investigate the role of electronic word of mouth (eWOM) as a mediating factor between the value of social media advertising (informativeness, entertainment, and credibility) and women’s dietary supplement purchasing intentions. The convenience sample included 317 women who use social media platforms and live in Amman, Jordan’s capital and largest city. Data was obtained using an online survey and analysed using multiple regression analysis and ANOVA. The research showed that the value of social media advertising and eWOM has a strong positive impact on women’s dietary supplement purchasing intentions. Furthermore, it revealed the partial effect of eWOM on the relationship mentioned above. This research contributes to the gap in the literature about the role of eWOM as a mediating factor in the relationship between social media advertising value and women’s purchasing intentions in developing countries.
  Keywords: eWOM; social media advertising value; informativeness; entertainment; credibility; purchase intention.
  DOI: 10.1504/IJBIS.2022.10046627
   
  
• Review Rating Prediction using Explicit and Implicit features  
  by Debasmita Dey, Pradeep Kumar 
  Abstract: In e-commerce websites, customers can rate the quality of the product on a 1
  Keywords: e-commerce; online reviews; ratings; prediction.
  DOI: 10.1504/IJBIS.2022.10046630
   
  
• The THOE Model To Understand The Critical Factors Affecting The Decision To Adopt Picture Archiving And Communication System (PACS) In Hospitals Based On TOE And HOT-Fit Model  
  by Ammar Almasri, Leila Erfannia, Sajad Mohabbati, Shafique Ur Rehman, Ayman Alnaimi 
  Abstract: Picture archiving and communication system (PACS) is one of the health information systems (HIS) invented to manage medical images in hospitals. The current study’s main objective is to identify determinant factors that influence PACS adoption by physicians and radiology technicians. A total of 253 respondents from Iran were requested to participate in our study using the online Microsoft Forms service, and only 250 were returned. Physicians’ and radiology technicians’ perceptions were analysed using two software, namely SPSS and Smart-PLS. The findings also showed that the technological factors have a substantial influence that is slightly greater than that of human, organisational, and environmental on the attitude toward PACS system adoption (AD). In conclusion, this study’s results determined that applying the THOE model is a suitable method to analyse physicians’ and radiology technicians’ behaviour in adopting innovative technology, such as PACS.
  Keywords: PACS system; TOE model; HOT-fit model; THOE model; adoption.
  DOI: 10.1504/IJBIS.2021.10046640
   
  
• Factors Influencing E-Business Adoption by Jordanian SMEs  
  by Mohammad J. Adaileh, Ali R. Alshawawreh, Ibrahim HARAZNEH, Hamzah Elrehail, Shafique Ur Rehman, Mohammad Rokibul Hossain 
  Abstract: This paper explores the e-business adoption considerations of small and medium enterprises (SMEs) in Jordan. The factors were identified based on the technological, organisational and, environmental (TOE) framework. Previous literature and focus discussion groups were deployed to develop the initial questionnaire, which includes most of the determinants that SMEs are likely to face. Exploratory and confirmatory factor analyses were carried out using two separate samples that correspond to the SMEs in Jordan. Structural equation modelling was used to test the hypotheses of the effect of these factors on the adoption of e-business. The results showed that adoption is affected positively by technological factors and negatively by environmental factors, whereas there was no effect of organisational factors. The study provides a comprehensive view of the TOE framework, taking into account the limitations faced by the study in order to develop a future direction when adopting technology.
  Keywords: TOE; electronic business; e-business; adoption; SMEs; Jordan; structural equation modelling; SEM; EFA; CFA.
  DOI: 10.1504/IJBIS.2021.10046676
   
  
• Examining productivity and farm size relationship among Indian agricultural households: Patterns, determinants and implications  
  by Manogna R. L.  
  Abstract: Using household level data from NSSO 70th Round Situation Assessment Survey (SAS), this study employs the Tobit regression model to study the impact of various factors on the crop yield and net income generated for two major crops, paddy and cotton. The findings reveal that the farm size is seen to have a negative and significant relationship with crop Y and seen to positively impact the NI in case of both paddy and cotton, conditional on several agricultural household characteristics. Furthermore, our analysis of farm-size wise patterns of various input costs of cultivation and credit sources brings out the issue of external factors in affecting agricultural returns for marginal and small farmers. From an agricultural policy perspective, our findings corroborate the evidence on rising cost of cultivation, and suggest the need to pay considerable attention to policy measures for enhancing crop productivity without disproportionately raising cost of cultivation.
  Keywords: agricultural production; farm size; agricultural credit; farmers; emerging economy; India.
  DOI: 10.1504/IJBIS.2022.10046730
   
  
• Big Data Projects and Business Benefits: Empirical Evidence from Extensive Data Survey  
  by Chiara Francalanci, Paolo Giacomazzi, Barbara Pernici, Lucia Polidori, Gianmarco Ruggiero, Philip Carnelley, Gabriella Cattaneo, Mike Glennon, Richard Stevens, Arne Jørgen Berre, Todor Ivanov, Ivan Martinez Rodriguez, Tomas Pariente Lobo 
  Abstract: There is an emerging stream of literature that is aimed at the identification of general drivers of business benefits for big data and analytics. This paper is positioned in this research, towards the definition of a general, high-level model incorporating the variables that are empirically confirmed as drivers of business benefits. We adopt the taxonomy of big data usage that makes a general distinction between descriptive, predictive and prescriptive analytics, as the sequence of steps to be taken towards a full exploitation of big data and consequent acquisition of business benefits. We put forward a set of hypotheses framing the idea that business benefits grow as companies take these three steps and test them by surveying the opinion of managers from a cross-section of over 700 European companies. Results partly confirm our hypotheses, suggesting that the timely availability of integrated data to decision makers is perceived as the main driver of business benefits, even if it is obtained with simple descriptive analytics.
  Keywords: big data; analytics; business benefits; business KPIs.
  DOI: 10.1504/IJBIS.2021.10046750
   
  
• The non-investment decision in information systems  
  by Luiz Fernando Albertin Bono Milan 
  Abstract: Owing to the complex nature information system investment decisions, the present study presents an interpretative framework for addressing the postponement of decisions to invest in this kind of technology. An instrumental case study is used to conduct an analysis based on the proposed framework. The case in question is a legal firm in S
  Keywords: cognitive dissonance; investment decisions; illusion of explanatory depth; cognitive miser.
  DOI: 10.1504/IJBIS.2021.10047007
   
  
• Utility-frequency analysis using customer market basket data in the retail sector  
  by Gökçe Baysal Türkölmez 
  Abstract: In the retail sector, customers shopping preferences are effective in determining the sales policies of stores. Due to the space problem, especially in small stores, it is not possible to store all the products as in big stores and to find places on shelves. The paper aims to make recommendations about product mix to small stores of a retail market chain in the Aegean region (Turkey). Six-month basket data of customers who have a membership card and who make purchases in regional stores of this market chain have been investigated by using frequent itemset mining and high utility itemset mining algorithms. Not only the data of frequency but also the utility data for items give useful information to determine the product mix of the small stores.
  Keywords: data mining; customer market basket analysis; frequent itemset mining; high utility itemset mining.
  DOI: 10.1504/IJBIS.2021.10047009
   
  
• Examining productivity and farm size relationship among Indian agricultural households: patterns, determinants and implications  
  by R.L. Manogna 
  Abstract: Using household level data from NSSO 70th Round Situation Assessment Survey (SAS), this study employs the Tobit regression model to study the impact of various factors on the crop yield and net income generated for two major crops, paddy and cotton. The findings reveal that the farm size is seen to have a negative and significant relationship with crop Y and seen to positively impact the NI in case of both paddy and cotton, conditional on several agricultural household characteristics. Furthermore, our analysis of farm-size wise patterns of various input costs of cultivation and credit sources brings out the issue of external factors in affecting agricultural returns for marginal and small farmers. From an agricultural policy perspective, our findings corroborate the evidence on rising cost of cultivation, and suggest the need to pay considerable attention to policy measures for enhancing crop productivity without disproportionately raising cost of cultivation.
  Keywords: agricultural production; farm size; agricultural credit; farmers; emerging economy; India.
  DOI: 10.1504/IJBIS.2021.10047010
   
  
• The THOE model to understand the critical factors affecting the decision to adopt picture archiving and communication system in hospitals based on TOE and HOT-fit model  
  by Ammar K. Almasri 
  Abstract: Picture archiving and communication system (PACS) is one of the health information systems (HIS) invented to manage medical images in hospitals. The current studys main objective is to identify determinant factors that influence PACS adoption by physicians and radiology technicians. A total of 253 respondents from Iran were requested to participate in our study using the online Microsoft Forms service, and only 250 were returned. Physicians and radiology technicians perceptions were analysed using two software, namely SPSS and Smart-PLS. The findings also showed that the technological factors have a substantial influence that is slightly greater than that of human, organisational, and environmental on the attitude toward PACS system adoption (AD). In conclusion, this studys results determined that applying the THOE model is a suitable method to analyse physicians and radiology technicians behaviour in adopting innovative technology, such as PACS
  Keywords: PACS system; TOE model; HOT-fit model; THOE model; adoption.
  DOI: 10.1504/IJBIS.2021.10047012
   
  
• Review rating prediction using explicit and implicit features  
  by Debasmita Dey 
  Abstract: In e-commerce websites, customers can rate the quality of the product on a 15 scale rating along with a detailed feature-wise review of it. Due to the availability of the same product in multiple e-commerce websites and variability in the number of customers in each e-commerce platform, the number of ratings obtained differs across various sites. Hence, it is observed that sometimes the overall rating (an indicator of quality) of the same product differs significantly across multiple e-commerce platforms, which creates anxiety and distrust in customers purchasing decisions and may cause loss of an online sale. In this present study, we propose a model which produces a single score of any product, and this score is more reliable and trustworthy than the conventional method as it captures both explicit and implicit information instead of considering just either of them.
  Keywords: e-commerce; online reviews; ratings; prediction.
  DOI: 10.1504/IJBIS.2021.10047013
   
  
• Does social media advertising value influence womens dietary supplement purchase intentions? The mediating role of eWOM  
  by Hani Al-Dmour 
  Abstract: This study aims to investigate the role of electronic word of mouth (eWOM) as a mediating factor between the value of social media advertising (informativeness, entertainment, and credibility) and womens dietary supplement purchasing intentions. The convenience sample included 317 women who use social media platforms and live in Amman, Jordans capital and largest city. Data was obtained using an online survey and analysed using multiple regression analysis and ANOVA. The research showed that the value of social media advertising and eWOM has a strong positive impact on womens dietary supplement purchasing intentions. Furthermore, it revealed the partial effect of eWOM on the relationship mentioned above. This research contributes to the gap in the literature about the role of eWOM as a mediating factor in the relationship between social media advertising value and womens purchasing intentions in developing countries.
  Keywords: eWOM; social media advertising value; informativeness; entertainment; credibility; purchase intention.
  DOI: 10.1504/IJBIS.2021.10047020
   
  
• The mediating role of innovation in the relationship between corporate governance and organisation performance  
  by Mahmoud Aleqab 
  Abstract: This study primarily aimed to present the impact of corporate governance and innovation on the performance of industrial firms. The study developed and proposed a conceptual model based on relevant studies in literature. The required data was collected from financial SMEs in Jordan with the help of questionnaire surveys, after which they were analysed using PLS-SEM to obtain empirical findings. On the basis of the results, there is a positive relationship between corporate governance and organisational performance, and between innovation and organisational performance. The result also showed the key role that innovation plays on the corporate governance-organisational performance relationship. The study has implications to policymakers in light of establishing strong policies to ensure effective corporate governance is practice in the enterprises for optimum performance.
  Keywords: innovation; corporate governance; organisation performance.
  DOI: 10.1504/IJBIS.2021.10047022
   
  
• The Nexus of ERP System Adoption and Discretionary Accruals: The Moderator Effect of Big 4 Audit Firms  
  by Ahmad A. Toumeh  
  Abstract: This study investigates the impact of enterprise resource planning (ERP) adoption and Big 4 audit firms on accrual-based earnings management (AEM) in the non-financial companies listed on the Amman Stock Exchange (ASE), as well as the moderating effect of Big 4 auditors on the nexus between ERP implementation and AEM. Panel data analysis was utilised in this research, and the random-effects GLS regression was employed to derive conclusions. The sample of this study is represented in service and manufacturing firms listed on the ASE, with 432 firm-year observations during the period 2015 to 2020. The results demonstrate that ERP non-adopting companies are more apt to participate in earnings management (EM) than ERP adopting companies. The current study should advance EM literature in the Jordanian context. Also, this is the initial empirical attempt worldwide to examine the indirect effect (moderation) of audit quality (AQ) on the association between ERP implementation and EM.
  Keywords: discretionary accruals; earnings management; enterprise resource planning; ERP; audit quality; Big 4 audit firms; accrual-based earnings management; AEM; Jordan.
  DOI: 10.1504/IJBIS.2022.10047096
   
  
• The Congruence Between The Mission Statements Of Accredited Business Schools: A Study Using Textual Data Mining Tools  
  by Faleh Alshameri, Les Vermillion 
  Abstract: We live in a world increasingly enveloped with data. Data that can be numerical or in many cases data which is verbal or written. This study investigates similarities between mission and vision statements of universities as a means of better understanding the usefulness of these statements as a comparative means for business schools and their universities. In doing this, we utilised a verbal data evaluation tool, CLUTO cluster analysis as a means of understanding useful verbal similarities. The study reviewed the mission and vision statements for almost 500 AACSB accredited universities and business schools. The CLUTO tool provided useful information while discriminating between university mission statements in certain instances. We found that public institutions’ missions were consistently differentiated from those of private schools. We also found that religious schools exhibited consistent similarities within the religious universities but differed from those non-sectarian universities. Geography did not appear to be a factor in discriminating statements either viewed by themselves or as a framework for regional business accrediting bodies. We extended the value of verbal data evaluation as a means of analysing mission and vision statements.
  Keywords: AACSB; clustering analysis; CLUstering TOolkit; CLUTO; mission statement; textual data mining; vision statement.
  DOI: 10.1504/IJBIS.2022.10047100
   
  
• JomImage Identification Attendance Systems  
  by Tee Fu Keat, G.X. Loh, Z.Y. Cha, K. Sumaiya, P.S. Joseph Ng 
  Abstract: As technology is growing rapidly, machines are designed to reduce the daily workload of mankind. Keeping track of students attendance is a challenging task especially for the bigger class using manual paper-based. Facial authentication is increasing more significant with the rapid appearance of image processing technology. Consequently, many studies have explored the integration of identification systems into the procedure of affirming onsite presence. Yet, lesser studies have been on taking university physical attendance to support process efficiency and cost optimisation, leading towards enhanced reputation. To understand the paradigm shift of digitisation, a mixed method of primary data collection using an online survey among academician and students were deployed. The studies analyse various technology enabling factor while highlighting future direction. Our finding extends new theoretical knowledge and managerial implication to the implementation of image-based attendance.
  Keywords: face recognition; automatic attendance system; OpenCV; authentication; PCA; biometric; web-based; machine learning; real-time monitoring.
  DOI: 10.1504/IJBIS.2023.10047111
   
  
• Organic Virtualization for Medium Size Enterprise during Pandemic Uncertainty  
  by Ng Joseph 
  Abstract: Medium size enterprise direction towards ICT framework is hauled by financial turbulence. The research incites the different inheritance IT framework model utilised in the item of innovation and disrupting advancement with evaporating seriousness towards IT foundation streamlining. This PLS-SEM blended mix mode technique with double information test-retest consecutive plan approach limits dim viewpoints and conclusions to explain the course of the event of action that prompts the advancement allocation. The discoveries uncovered the stunning actuality that 33% of absolute interests in technology were classified as ineffective projects, making for lost time between the business contenders whilst putting most gear underused and faulty business prospects whilst considering venture depreciation. BOINC freeware grid processing incorporated CPU and disk highlights been utilised to expand. The commitment of the review proposed an adaptable organic IT framework towards the formation of exostructure as a service that can be utilised towards the IT administration handbook.
  Keywords: BOINC; cloud computing; framework; infrastructure as a service; IaaS; grid computing; model; optimisation; small and medium sized enterprise; technology acceptance model; virtualisation.
  DOI: 10.1504/IJBIS.2023.10047113
   
  
• Two Decades of Digital Transformation in Business - A Review and Research Agenda  
  by Ashish Saxena, V.V. Ravi Kumar 
  Abstract: Digital transformation (DT) has emerged as an important concept that stimulates several academic research streams and influences practice. The literature regarding DT is still evolving. This literature review aims to establish a greater understanding of DT through examining the fragmented and diverse academic literature on this concept. Based on a systematic review of academic research works of the past two decades, this study provides rich insights into the fundamental understanding of DT. Out of 1,092 identified studies, 130 were selected for a detailed review. The findings suggest that the industry should adapt its business strategies to the changing digital landscape, among other initiatives. The study reveals that there is more to DT than just investing in new technologies. This review should contribute greatly to future exploration as it expands the literature by identifying the need for further research in the area and defines the research agenda for future researchers.
  Keywords: digital; digital transformation; digital technologies; digital strategy; digitalisation; big data; innovation; literature review; systematic review; research agenda.
  DOI: 10.1504/IJBIS.2022.10047181
   
  
• EFFECTS OF DIGITALIZATION ON HUMAN RESOURCE PROCESSES: A CASE STUDY IN A GLOBAL TECHNOLOGY COMPANY  
  by Adnan Corum, Ugur Ulas 
  Abstract: This paper presents a case study of digital transformation of a global technology company’s human resources department with workday application. The digital transformation is focused on payment, training, reporting, and human resources management processes. With this transformation, most of the manual operations are automated, and it is aimed to provide efficiency in resource workload management. The company aims to provide information to employees more easily through digitalisation. This information is usually the employee’s training plan calendar, wage documents, and employee-based performance metrics. The company initiates this digitisation step with the workday application. This research reflects how company transforms and builds its own external digital platform history.
  Keywords: digitalisation; human resource management; HRM; workday application; transformation.
  DOI: 10.1504/IJBIS.2022.10047428
   
  
• Micro factors affecting the application of International Financial Reporting Standard No. 6: evidence from Vietnamese enterprises  
  by Malik Abu Afifa, Nha Nguyen Minh, Thuy Nguyen Thi Thanh 
  Abstract: Our study identifies and investigates the micro factors affecting the application of International Financial Reporting Standard No. 6 (IFRS 6) on exploration and evaluation (E&E) of mineral resources for enterprises in Vietnam. At the same time, this study also explores the nexus between the application of IFRS 6 and the benefits of applying IFRS 6. The study data are collected from Vietnamese mining, oil and gas enterprises listed on the financial exchange. Our data are analysed by structural equation modelling which evaluates both measurement and the structural model. The findings show that there are three micro factors, firm’s size, administrator’s supporting and accountant’s qualifications, which are positively linked to the enforcement of IFRS 6, consistent with the initial prediction. Moreover, we find that the application of IFRS 6 positively links with the benefit of applying IFRS 6, such as increasing disclosure quality and accountability.
  Keywords: IFRS 6; application of IFRS 6; benefits of applying IFRS 6; exploration and evaluation; minerals; firms size; administrator's supporting; accountant’s qualifications; Vietnam.
  DOI: 10.1504/IJBIS.2022.10047476
   
  
• The effect of using big data on the success of accounting information systems: the case of Arab Bank/Jordan  
  by Inaam M. Al-Zwaylif, Shatha Y. Abdul Khaliq, Saleem M. Al-Atibi 
  Abstract: The study aimed to investigate the effect of big data on the success of the accounting information system in the Arab Bank/Jordan. To accomplish the study goal, a questionnaire was designed and distributed among general managers, deputy general managers, heads of departments, and employees in the general administration in the Arab Bank/Jordan. Multiple, stepwise, and hierarchal regression analyses were used to test study hypotheses. The study has reached several results, the most important of which is that big data (in terms of volume, velocity, variety, and value) significantly affects the success of the Arab Bank’s accounting information system. Additionally, the end-user technical support and experience in using information technology have a significant moderating effect on the relationship between big data and the success of the Arab Bank’s accounting information system.
  Keywords: big data; accounting information systems; success; Arab Bank; Jordan.
  DOI: 10.1504/IJBIS.2022.10047478
   
  
• New generation technologies: development vs. ethical challenges  
  by Pooja Nanda, Vikas Kumar 
  Abstract: Digital technologies have affected all aspects of human life. New standards of speed, effectiveness and accuracy have been registered in the information processing; however, this has also affected the human behaviour. The modern digital world of global networks and cyberspace poses a wide spectrum of techno-ethical challenges along with the political and social challenges. It is very important for businesses and other stakeholders of these technologies to understand and effectively deal with the probable ethical and social issues raised by these new technologies. Significant number of consumers may be at risk of moral and behavioural harm, due to technological implications. In the present work, techno-ethical challenges associated with the ten most important technologies of the decade (as indicated by prominent surveys) have been presented along with the developmental perspective of these technologies. Applications of these technologies must be planned, taking care of these techno ethics to safeguard the interests of stakeholders.
  Keywords: information communication technologies; artificial intelligence; AI; cloud computing; ethical issues.
  DOI: 10.1504/IJBIS.2022.10047594
   
  
• A collaborating ITM-EVF approach to investigate customer's intention to adopt mobile payment systems: a study on Bangladesh market  
  by Md. Sharif Hassan, Md. Aminul Islam, Farid Sobhani, Sadia Afrin 
  Abstract: One of the most emerging digital platforms that are widely used today is the mobile payment system. Though developing country like Bangladesh is lagging in global findex ranking, customers are rapidly using the mobile payment system platform for their offline and online purchases. This study intends to determine the predictors that prompt customers to use mobile payment systems in Bangladesh. The extended valence framework and initial trust model were combined to facilitate this study. The proposed model incorporated three antecedents for trust: structural assurance, firm reputation, and personal propensity to trust. A questionnaire was designed and circulated through google forms to collect the primary data. The number of final respondents of the survey was 213. The study used the partial least square structural equation modelling (PLS-SEM) method to analyse the data. The result indicates that perceived benefit and trust are the influential predictors of mobile payment systems usage intention in Bangladesh.
  Keywords: mobile payment systems; ITM; extended valence framework; structural assurance; firm reputation; personal propensity to trust.
  DOI: 10.1504/IJBIS.2022.10047625
   
  
• The Barriers of Balanced Scorecard Implementation within Jordanian Public Listed Companies  
  by Abedalqader Rababah, Nassereddine Saadouli, Sulaiman Weshah 
  Abstract: In their drive to improve the management and control of their accounting systems in a highly volatile and uncertain environment, many companies adopted the balanced scorecard (BSC) approach to streamline their strategic accounting choices and the short-term operational tasks and activities. This paper investigates the BSC adoption and implementation within the Jordanian publicly listed companies. Using qualitative, results show that the BSC adoption/implementation rate is low. The primary factors for such a low rate are lack of senior management support, lack of expertise and prohibitive adoption costs. The results provide a stepping-stone for management to devise courses of action that will mitigate the effect of the identified factors.
  Keywords: barriers; balanced scorecard; BSC; implementation; companies; Jordan.
  DOI: 10.1504/IJBIS.2022.10047748
   
  
• The Top Management Team Characteristics and Financial Performance: The Role of Remuneration- Further Analysis: Evidence from Saudi Arabia And Oman  
  by Ebrahim Al-Matari 
  Abstract: The discussion around the top management team (TMT) as to whether or not it affects the financial performance (FP) of the firm is ongoing in literature albeit the findings are mixed. Hence, this study is motivated by the need to examine the TMT-FP relationship in the context of listed firms in Oman and Saudi Arabia. The study also aims to test remuneration in light of its moderating effect on the above relationship. Data was collected from the companies’ annual report for the years from 2014 to 2019, and was analysed with the help of ordinary least squares (OLS). The findings showed that TMT experience in accounting and finance positively and significantly. Remuneration was also found to have a moderating positive effect on the relationship between professional certificate of TMT and FP. The findings further indicated that remuneration positively and significantly moderated the relationship between TMT foreign member and FP. Further test found TMTSCORE positively associated with performance.
  Keywords: top management team; TMT; agency theory; Saudi Arabia; Oman; upper echelons theory; panel data; financial performance; further analysis.
  DOI: 10.1504/IJBIS.2021.10048052
   
  
• Outsourcing Agile Projects with Time-and-Material Contracts: A Trust-Control Duality Perspective  
  by John Persson, Lene Pries-Heje, Lars Mathiassen 
  Abstract: Although agile principles are widely adopted for information systems development (ISD), we know little about the use of agile principles in outsourced ISD projects, especially from a client perspective. Client organisations have been reluctant to adopt agile principles in outsourced relationships because of the traditional dominance of fixed-price contracting and lack of knowledge on creating client value without jeopardising supplier interests. Against this backdrop, we apply a trust-control duality perspective to understand and explain how a Danish government agency successfully outsourced an ISD project to a supplier based on agile principles and time-and-material contracting. Drawing on these findings and extant literature, we offer theoretical and practical contributions to the literature on outsourced agile ISD focused on managing such arrangements and on using a trust-control duality perspective to understand the client’s relationship with suppliers.
  Keywords: agile project management; outsourcing; agility; time-and-material contract; case study; trust; control.
  DOI: 10.1504/IJBIS.2022.10048139
   
  
• A Framework for Digital Transformation: Root Cause Analysis  
  by Mathupayas Thongmak 
  Abstract: Digital transformation is believed to improve a company’s performance. However, only a few companies succeed. Thus, this paper synthesises primary research relating to digital transformation to determine obstacles and propose a conceptual model for successful digital transformation. An integrative systematically review method is applied. Obstacles in terms of barriers, challenges, and problems are extracted from 163 academic journal and conference articles from GS and EBSCOHost using content analysis. Root causes of digital transformation failures are identified using Pareto analysis and fishbone diagram. Eight management resources are applied to investigate obstacles from different theoretical views, but only seven of them are revealed. Management, man, measurement, and machine are the root causes of failures. The results contribute to the emerging field of digital transformation, reveal hindrances of digital transformation at the company level, and guide top management on what areas they should focus on, to effectively implement digital transformation in their firms.
  Keywords: cause-and-effect diagrams; Pareto analysis; fishbone diagram; digital transformation; barriers; challenges; problems.
  DOI: 10.1504/IJBIS.2022.10048578
   
  
• A Research perspective on Technical Debt in Software Development  
  by Mitali Chugh, Neeraj Chugh, Rajesh Kumar Upadhyay, Rodrigo Spinola 
  Abstract: Technical debt (TD) in software development reflects the implied cost of surplus rework due to technical negotiations that can produce short-term advantage; however, it may affect the software system in the long-term. To better describe and comprehend TD research literature, a comprehensive literature assessment is important. Particularly, the bibliometric analysis would allow examining the research and facilitating the assessment of recent progress in the area to gather studies on TD and present citation and thematic analysis for a broad understanding of the TD research literature over the years. The bibliometric study is built on four research questions using the data collected from the Clarivate Analytics Web of Science database comprising 378 papers. The results of this bibliometric study can help to comprehend the scenario we have about the dissemination of results on the TD area over the years.
  Keywords: technical debt; bibliometric study; thematic analysis.
  DOI: 10.1504/IJBIS.2021.10048683
   
  
• Digital Transformation in Organizations - A Review and Research Agenda  
  by Mitrabinda Acharya, Rahul Thakurta 
  Abstract: Digital transformation, a phenomenon that adopts digital technologies to change how organisations operate and deliver value to customers, is receiving increasing prominence recently. The phenomenon drives its importance from the proliferation of digital technologies in organisations, and hence can also be viewed from the context of (digital) technology management scenario in organisations. Making this linkage allows us to investigate digital transformation from the perspective of information systems (IS) and organisations. This manuscript reviews the literature concerning digital transformation based on a conceptual model adopting the perspective of IS and organisations. The findings based on 85 articles constituting the review highlight various facets describing the inputs, transformation process, and outputs in the context of digital transformation. In continuation, we outline possible areas of future explorations and link them into a digital transformation process exploration framework towards facilitating future theoretical work.
  Keywords: digital technologies; digital transformation; literature review; research agenda.
  DOI: 10.1504/IJBIS.2022.10048933
   
  
• E-government Centres of Excellence Empower Robotic Process Automation Implementations  
  by WILLIAM Money 
  Abstract: Many government organisations are using robotic process automation (RPA) to improve performance and efficiency. The e-government environment is particularly appropriate for the application of this technology with its concentration of forms, data collection, approvals and data recording; responses to constituencies; and large numbers of financial transactions. Selecting work processes and implementing efficient and effective RPA processing solutions are critical to successful processing and avoiding errors, improving service, and eliminating or reducing risks of transaction failures. Centres of excellence (CoEs) are organisational units and processes that offer an appealing solution for the successful RPA implementation. This paper identifies the value of RPA implementations, describes and provides examples of the CoE approach, and discusses the empowering role and functions of a CoE. Finally, it improves the ability of managers to implement the components of CoEs by developing a greater understanding of this organisational structure and criteria used to assess CoE implementations.
  Keywords: centre of excellence; CoE; e-government; robotic process automation; RPA; process.
  DOI: 10.1504/IJBIS.2022.10048995
   
  
• An Analysis of Indian Pharmaceutical Exports to East African Community (EAC)  
  by Navneet Gera, Swati Rohatgi, Saket Rohatgi 
  Abstract: This study aimed to assess the competitiveness of India’s pharmaceutical exports to the East African community (EAC), using Balassa’s revealed comparative advantage (RCA) and trade intensity index (TII). The research focused on six-digit HS codes 300410, 300420, 300450, and 300490 related to pharmaceuticals, namely penicillin, antibiotics (other than penicillin), vitamins, and medicaments, respectively. The data used were collected from 2011 to 2020. The results confirm that HS code 300410 (containing penicillin or derivatives thereof, with a penicillanic acid structure, or streptomycins or their derivatives) is the most competitive, based on RCA and TII values, and exporters should reap the benefits in the EAC. Based on the results of TII, Kenya, Uganda and Tanzania have the highest TII in HS Code 300450, followed by Rwanda and Burundi, which have high TII in HS Code 300410. This study contributes significantly to exporters and policymakers on HS codes, which are relevant for pharmaceutical exporters in the East African community.
  Keywords: Indian pharmaceutical exports; revealed comparative advantage; RCA; trade intensity index; TII; East African community; ECA.
  DOI: 10.1504/IJBIS.2022.10049023
   
  
• The Influence of Personalized Product Recommendations on Purchase Intention: A Theoretical Synthesis Based On Self-Determination Theory  
  by Priyadarsini Patnaik, Parameswar Nayak, Siddharth Misra 
  Abstract: Although AI-driven personalised recommendations are popular for their perceived usefulness, their impact on consumers’ psychology and behaviour has yet to be understood. Also, it remains unclear how these recommendations affect consumer motivation and influence purchase intentions on online shopping platforms, leaving a gap in the research knowledge. Hence, to explain consumer motivation and its impact on consumer purchase intention, this study adopts the self-determination theory (SDT), cognitive evaluation theory (CET), and basic psychological needs theory (BPNT) and has built a theoretical model to bridge this academic gap. This research contributed to the empirical literature by broadening the SDT research paradigm to identify exceptionally personalised recommendations that influence motivation and behaviour intentions. Researchers found that intrinsic motivation positively affects a sense of enjoyment and facilitates people’s psychological needs, which affects the willingness of consumers to purchase online. The study’s findings will help academics better understand how psychological needs are addressed in online purchasing and how personalised product recommendation motivates the individual toward purchase intention.
  Keywords: artificial intelligence; AI; personalised product recommendation; purchase intention; self-determination theory; SDT; cognitive evaluation theory; CET.
  DOI: 10.1504/IJBIS.2022.10049210
   
  
• THE COVID-19 PANDEMIC AND THE ADOPTION OF SOCIAL COMMERCE AMONG EGYPTIAN SOCIAL MEDIA USERS  
  by Mayada M. Aref  
  Abstract: This research empirically examined social commerce intention among Egyptian social network users during COVID-19 pandemic. The proposed model included trust toward social network sites, trust toward social network members, online social support, hedonistic and utilitarian browsing motivation, and the fear of COVID-19. Data, 384 respondents, was collected using an online structured questionnaire. Structural equation modelling was conducted to test the hypotheses and model fit. The role of gender, age, and social media use is studied among different groups. The results confirmed that social network sites’ trust and online social support positively influence social commerce intention. Also, there is a significant indirect relationship between social site members trust, hedonistic motivation, and social commerce intention. The online social support, social commerce intention, and the fear of COVID-19 were higher among females than males. The COVID-19 pandemic increased the diffusion of social commerce in developing countries and proved the significance of digital transformation.
  Keywords: COVID-19 pandemic; social commerce; online consumer behaviour; online browsing motivations; structural equation modelling.
  DOI: 10.1504/IJBIS.2022.10049376
   
  
• The Impact of Socioeconomic and Demographic Factors on the Individual Use of E-Commerce in Brazil: Evidence of the Digital Divide  
  by Gabriel Nery-da-Silva, Raul Afonso Pommer Barbosa, Júlio César Bastos Figueiredo 
  Abstract: E-commerce plays a vital role in the Brazilian economy and people’s lifestyles. To support e-commerce, it is essential to understand the Brazilian internet-user consumers’ characteristics and identify barriers to e-commerce access. Here, we investigated socio-economic and demographic factors correlated with the individual use of e-commerce in Brazil. We developed three logit models to investigate such correlations using a sample from the national survey on ICT use. The results suggest that gender, age, ethnicity, education, income, and area of residence are significantly correlated with the individual use of e-commerce. Overall, the results clearly show that socio-economic attributes are the weightiest factor associated with purchasing online. By comparing our findings with previous studies, we believe that nationality and culture moderate the relationship between gender and online shopping. Finally, the results suggest that the access to technology and digital applications is still disproportional in Brazil, which indicates some degree of digital divide.
  Keywords: online shopping; regional divide; inequality; consumer behaviour; information technology; quantitative analysis; Brazil.
  DOI: 10.1504/IJBIS.2022.10049394
   
  
• Unified Theory of Acceptance and Use of Technology as Predictors of the Adoption of Mobile Campus Application  
  by Devesh Kumar, Hotniar Siringoringo 
  Abstract: This study was aimed to understand the determinant of the adoption of mobile application by the students. The unified theory of acceptance and use of technology (UTAUT) were deployed as determinant of the adoption behaviour. A questionnaire was used as the research instrument in collecting the data from 151 students from a private university in India. The data collected was further analysed using the structural equation modelling (SEM). The study provided evidence that the model developed is suitable in explaining the acceptance of mobile campus applications. Attitude towards using mobile campus applications was the most significant factor influencing behavioural intention. Investigating the adoption of such an emerging application provides academicians a better understanding of important factors, which support acceptance of such applications. The administrators and practitioners are also benefited from this research wherein they also become more aware of the students requirements and needs.
  Keywords: mobile campus application; adoption; UTAUT; behavioural intention; attitude.
  DOI: 10.1504/IJBIS.2022.10049430
   
  
• Factors Influencing Intention to Use a Social Robot for Supporting Childcare: An Empirical Study Among Professional Workers in Malaysia  
  by Yulita Hanum P. Iskandar  
  Abstract: A social robot is a hypothetical artificial intelligence system which is designed to interact with humans and with other robots This study investigates the main factors influencing the intention to use a social robot among professional workers in Malaysia A total sample of 259 professional workers in Penang, Malaysia participated in this study A quantitative approach was employed using a five-point Likert scale questionnaire, adapted from previous studies The data was analysed using SPSS The results indicated all 12 variables correlated significantly (p < 0.01) with the intention to use a social robot, and, with the exception of attitude, privacy concerns, and legal concerns, inter-correlated significantly (p < 0.01) Stepwise multiple linear regression showed that four variables were the most significant contributors to the intention to use, accounting for 74% of the intention to use variance The results of this study provide useful insights into the variables influencing usage intention of professional.
  Keywords: intention to use; social robot; supporting childcare; professional working parents; Malaysia.
  DOI: 10.1504/IJBIS.2022.10049514
   
  
• The Effectiveness of System Quality, Habit, and Effort Expectation on Library Application Use Intention: The Mediating Role of Perceived Usefulness, Perceived Ease of Use, and User Satisfaction  
  by Shahla Rezvani, Shahin Heidari, Nasim Roustapisheh, Saeid Dokhanian 
  Abstract: The development of ICT, particularly in the field of wireless and mobile technologies led educational institutions to develop library applications. Therefore, the present study tends to develop a model for predicting the behavioural intention of subjects to use library applications. Participants included 218 students using the mobile library application. Data was collected by using a questionnaire. Data were analysed by partial least squares structural equation modelling using SmartPLS. As the results showed, habit was positively and significantly effective on perceived ease of use and perceived usefulness. Effort expectation was positively and significantly effective on perceived ease of use and perceived usefulness. System quality was positively and significantly effective on perceived ease of use and perceived usefulness. Perceived ease of use was positively and significantly effective on perceivedusefulness, user satisfaction and application use behavioural intention. Perceived usefulness was positively and significantly effective on user satisfaction and application use behavioural intention.
  Keywords: mobile library application; user satisfaction; technology acceptance model; TAM; system quality; habit; effort expectation.
  DOI: 10.1504/IJBIS.2022.10049515
   
  
• UNDERSTANDING THE NATURE OF MARKETING ANALYTICS IN GHANA: A CASE STUDY OF MULTINATIONAL FIRMS.  
  by Endonna Dzandu, Abdulai Mahmoud, Robert Hinson, Kobby Mensah, John Paul Kosiba 
  Abstract: The study investigates the nature of marketing analytics within organisations in Ghana. Utilising a case study strategy, four multinational organisations were purposively sampled. The study finds that marketing analytics is still developing in most organisations and is mainly used for promotion. Major findings showed that the type of organisation and competition were key factors affecting the use of analytics in marketing. Finally, some successes with the use of analytics in marketing include effective tracking of marketing performance and campaigns while some challenges arose from dealing with third party organisations and a lack of employee knowledge with the use of various marketing analytics software/tools. The study recommends that organisations must develop a culture centred on the use of analytics in marketing and train employees to better utilise analytical software/tools.
  Keywords: marketing analytics; analytics; big data; marketing; multinational firms; organisation; Ghana.
  DOI: 10.1504/IJBIS.2022.10049516
   
  
• Measuring the job satisfaction levels of academic staff in universities by the application of sentiment analysis  
  by Fatih Çağatay Baz, Büşra Hamal 
  Abstract: In this study, it is aimed to measure the job satisfaction levels of academic staff. This measurement was carried out with the application of sentiment analysis, which is a field of study that determines the emotional pole of written and verbal expressions. The data used in the designed sentiment analysis study were collected through a form consisting of eight questions to measure demographic information and 20 qualitative questions to measure job satisfaction of academic staff, which was prepared by taking expert opinions. In this study, the academic staff working at Osmaniye Korkut Ata University were subjected to evaluation. In the study, the data were analysed through the sentiment analysis software developed with the Python programming language, and as a result of the analysis, it was concluded that the job satisfaction level of the university academic staff was positive.
  Keywords: job satisfaction; sentiment analysis; management information systems; academic staff.
  DOI: 10.1504/IJBIS.2022.10049665
   
  
• Perceived trust as moderator with protection motivation theory to predict generation Z consumers IoT adoption: A case of Dhaka households  
  by Arif Mahmud, Mohd Heikal Husin, Mohd Najwadi Yusoff 
  Abstract: Household security systems with internet of things (IoT) capabilities have been widely employed to decrease burglary. Bangladesh has a low level of IoT adoption, on the other side. To promote this adoption, it is critical to identify the factors that influence user acceptability, particularly from the perspective of Dhaka City’s generation Z. As a result, the purpose of this study is to fill a knowledge vacuum by confirming the protection motivation theory using perceived trust as a moderator. Afterward, data were collected through the survey using a purposive sample method, which yielded 370 valid replies. With a variance of 68.3% and 63.3% for intention and attitude, adoption intention is influenced by the attitude which is driven by severity, vulnerability, and response efficacy. Furthermore, the introduction of perceived trust as a moderator enhanced R2 and Q2 by 17% points and 13.6% points, respectively. In addition, perceived trust moderated the relationships severity-attitude negatively and self-efficacy-attitude positively.
  Keywords: burglary; generation Z; internet of things; perceived trust; protection motivation theory; PMT.
  DOI: 10.1504/IJBIS.2022.10049736
   
  
• Factors Affecting Mobile Coupon Acceptance through Smartphone App  
  by Asraar Ahmed, Damodharan V. S., S. Kumaraperumal 
  Abstract: There will be more than 7.5 billion smartphone users around the world by the end of the year 2026 (Statista, 2022). The increase in smartphone sales in India has caused tremendous growth in the mobile commerce sector. Recent reports predict that by the year 2025, India will have the second-largest market globally in the m-commerce sector after China. This paper explores the factors that affect mobile coupon application acceptance among Indians by using the extended UTAUT2 model as a theoretical background. This study applied SEM modelling for analysing the data with AMOS 25 software. The price value, internal social influence, external social influence, perceived risk, performance expectancy, trust, personal innovativeness, hedonic motivation, and mobile self-efficacy significantly impacted the mobile coupon application acceptance.
  Keywords: mobile coupons; UTAUT2; structural equation modelling; SEM; AMOS; mobile apps; smartphone; India.
  DOI: 10.1504/IJBIS.2022.10049737
   
  
• HRIS implementation in apparel manufacturing industry of developing economy: Identification of challenges through qualitative systematic review and bibliographic exploration  
  by Abu Naser Mohammad Saif, Azmawani Abd Rahman, Shafie Sidek 
  Abstract: Since contemporary research on business information systems has called for human-centred technologies in manufacturing, the time has emanated to identify the implementation challenges of human resource information systems (HRIS) in the apparel industry of developing economies. This qualitative systematic review intends to categorise the implementation dares of HRIS in the garments manufacturing industry of a developing economy. From the top academic databases, a total of 553 research papers published during the period 20012021, were inspected to ascertain the applicable 22 publications using PRISMA flowchart. Using VOSviewer, term co-occurrence network maps were generated. Cross-mapping the terms from bibliographic analyses with concrete insights from detailed qualitative interviews piloted in a developing nation, researchers proposed four themes, i.e., sustainability, cultural, financial, and performance. The findings have revealed that these four are the groups of challenges that are required to be manoeuvred to augment the benefits of HRIS in current settings.
  Keywords: human resource information systems; HRIS; implementation challenges; apparel manufacturing; bibliographic; systematic review; qualitative; VOSviewer.
  DOI: 10.1504/IJBIS.2022.10049738
   
  
• Forecasting Gold Price using Particle Swam Optimization and Genetic Algorithm based Artificial Neural Networks  
  by Akash Dutt Dubey  
  Abstract: The price prediction of gold plays an important role since it is considered to be one of the most prioritised commodities in investments. The investors consider gold as a hedgerow against the unforeseen event taking place in the stock market which may lead to the chaos. This research paper uses the genetic algorithm and particle swarm optimisation (PSO) based artificial neural network (ANN) models to predict the gold prices of the market. A case study has been done using the data from Perth Mint of Australia, the official bullion of the country. The performance evaluation has been done using the parameters such as correlation coefficient (R), mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE). The results obtained from the experiments suggest that while both models perform well for the gold price prediction, PSO based ANN delivers better performance as compared to GA based ANNs.
  Keywords: gold price; artificial neural network; ANN; genetic algorithm; particle swarm optimisation; PSO.
  DOI: 10.1504/IJBIS.2022.10049762
   
  
• Understanding the Determinants of Cloud-Based Electronic Banking System Acceptance in Jordanian Banking Sector  
  by Bilal Abuata, Ana'm Alsalman 
  Abstract: Recently, cloud banking adoption has globally increased due to restrictions forced by the coronavirus (COVID-19) pandemic. Despite the benefits of adopting cloud banking services and applications, few studies have been conducted to examine the cloud banking adoption factors in developing countries, especially in Jordan. Therefore, this study proposes a new paradigm by integrating the IS success model and the UTAUT model with two external factors: cloud security and top management support. This research was done using a cross-sectional survey in Jordanian local banks. A total of 137 IT managers and IT staff participated in this study. The IBM SPSS version 23 and the SmartPLS version 2.0 were employed to test the research model. The findings of this research give important insight to decision-makers in Jordanian banks and cloud vendors in developing appropriate strategies to ensure the successful acceptance of cloud banking in Jordan.
  Keywords: cloud banking adoption; cloud-based e-banking system; UTAUT model; IS success model; banking sector; Jordan.
  DOI: 10.1504/IJBIS.2022.10049763
   
  
• The assessment of users acceptance toward implementing human resource information system (HRIS)  
  by Javad Shahreki 
  Abstract: Nowadays, the most strength of any organisation is human resources (HR) section that should be managed perfectly to improve organisational performances. Besides, each organisation requires a comprehensive information system, here as HRIS to provide effective management to achieve organisational goals. Any changes in organisation requirements leads to change in information system and employees’ refusal to change that results some problems for company. Therefore, this study aims to point out influential factors on user acceptance of HRIS system. To do so, a model is proposed, which is a mix of task technology fit (TTF) and unified theory of acceptance and use of technology (UTAUT) model. Collection of data has been done through 212 questionnaires that was distributed among HRIS users in manufacturing and service sector companies. This study finding revealed that performance expectancy, effort expectancy, social influence, facilitating condition and TTF are influential factors on behavioural intention to implement HRIS. Another finding shows technology characteristics and task characteristics impact on TTF.
  Keywords: human resources HR; information system; electronic human resource management.
  DOI: 10.1504/IJBIS.2022.10049792
   
  
• An Expanded IS Success Model for Enterprise Resource Planning Systems  
  by Mustafa C. Karacadag, Bulent Erenay 
  Abstract: Enterprise resource planning (ERP) systems require significant investment in terms of capital, time, and effort by organisations, and success of the information systems post implementation is a critical issue for organisations. This study proposes a comprehensive information system (IS) success model, developed based on the widely used DeLone and McLean IS success framework, in the context of ERP systems. This study identifies three non-technological IS factors, Workforce Quality, Process Quality, and Organisational Quality, to predict the success of ERP systems. A structural equation model was deployed using the data collected from 214 medium and large sized companies which utilised various ERP software in Turkey. The results support the typical IS success factors associated with ERP success, and show that quality of systems, quality of information, and proposed non-technological IS components have significant effects on user satisfaction. Research findings can be used to increase user satisfaction from ERP systems in organisations.
  Keywords: information systems; IS success; enterprise resource planning; ERP; structural equation modelling; SEM; workforce quality; Turkey.
  DOI: 10.1504/IJBIS.2022.10050008
   
  
• Tax Capacity Assessment and Performance: A Within State Analysis  
  by Vishnu Vivek M, Punniyamoorthy Murugesan, V. Lavanya 
  Abstract: Stochastic frontier analysis (SFA) is a statistical approach that is used extensively across domains. In this era of the COVID-19 pandemic, there is pressure on government finances as public healthcare expenditure has ballooned. As healthcare is the responsibility of provisional governments or states in many countries, it is imperative to analyse the tax capacity at the local level. The paper analyses the performance of various districts in the Southern Indian State of Kerala, India in the arena of tax capacity leveraging SFA. The study reveals the districts which are performing well as well as the laggards and highlights the tax capacity and inefficiency variables that the district administrations should focus on. The proposed model can be replicated across states in India and regional/provinces across economies worldwide thereby helping provincial administrations to prepare well to face epidemic outbreaks in the future as well.
  Keywords: stochastic frontier analysis; SFA; tax capacity; tax effort; principal component analysis; PCA; gross state domestic product; GSDP.
  DOI: 10.1504/IJBIS.2022.10050044
   
  
• Mining Consumers’ Sentiments Toward Halal Cosmetics: A Text Analytics Approach  
  by Ainin Sulaiman, Ali Feizollah, Mohamed Mostafa, Zalina Zakaria 
  Abstract: Although social media plays an important role in mining consumers’ opinions, there is no previous research examining consumers’ sentiments toward halal cosmetics, thus this study examined halal cosmetics tweets. 8,932 halal cosmetics tweets were collected through a custom Python script. To conduct the analysis, a text mining approach was used. Using semantic networks, the study identifies major popular skincare, lipstick and halal nail polish brands. The findings are of great potential importance to companies producing halal cosmetics, as they can provide insights into promoting halal cosmetics brands online. Marketers can also design their advertising campaigns based on positive tweets of users of halal cosmetics. This work contributes to the debate on behaviours of different consumers on social media by examining the sentiments and opinions expressed by them. Additionally, the study expands the literature pertaining to consumers’ sentiment towards shariah based products via social media instead of the normal survey.
  Keywords: cosmetics; halal cosmetics; social media; twitter; sentiment analysis; text analytics.
  DOI: 10.1504/IJBIS.2022.10050052
   
  
• Prioritization of critical operational factors and designing a decision making model for attaining supply chain resilience through digitalization  
  by DEEPU T. S, Ravi V 
  Abstract: Resilience management based on digitalisation is gaining relevance due to advancements in digital technology and uncertainty in the business environment. Accordingly, this study has prioritised the critical operational factors influencing supply chain resilience through digitalisation. We also propose a decision-making model for selecting the most suitable emerging technology solution for attaining resilience. An analytic hierarchy process integrated technique for order preference by similarity to ideal solution built-in with decision-making model method is used in this research. This integrated approach facilitates selecting the emerging technology solution considering the influence of critical operational factors. Fifteen critical operational factors were identified into three major dimensions for effective management. Study’s findings reveal that information sharing capability, risk management capability and technological competency are the most influencing factors. Validation of prioritised critical operational factors is done through case evaluation and verified based on existing literature.
  Keywords: supply chain resilience; SCR; digitalisation; critical operational factors; COFs; decision-making model.
  DOI: 10.1504/IJBIS.2022.10050070
   
  
• Exploring the Behavioural Intention to adopt Mobile Payment Service of students: A case study at Private Universities in Da Nang, Viet Nam  
  by Van Ky Long Nguyen, Thi My Hanh Le, Thi Hien Le, Phuong Anh Luong Nguyen 
  Abstract: This paper strives to determine the key drivers of students’ behavioural intention of mobile payments adoption to fill the following gaps, aiming to enhance this service’s quality in emerging markets such as Vietnam. First of all, mobile payment adoption is predicted to replace cash payments worldwide, while digital transaction services in developing countries are experiencing difficulty reaching customers since little research in this market has been conducted. In addition, there is a lack of research aimed at potential future customers, such as university students. As a result, a conceptual model is built based on a combination of the unified theory of acceptance and use of technology model (UTAUT) and the perceived security factor. The data was gathered by a survey of 151 valid respondents from private universities in Da Nang, Vietnam. The result of this paper indicates five factors that positively influence the intention to use mobile payments.
  Keywords: mobile payment services; behavioural intention; students; private university; Vietnam.
  DOI: 10.1504/IJBIS.2022.10050072
   
  
• Barriers in the Adoption of Digital Payment Services: A Systematic Literature Review  
  by Sonia Chawla, Shani Kumar 
  Abstract: The researchers’ interest in the field of digital payment has gained prominence in the previous decades, because of the shift in consumer financial transaction patterns. However, there are just a few review papers accessible on the barriers and challenges related to the adoption of these digital payment services. The current study examines literature from 2007 to 2021 available in the Scopus database that yielded 56 research articles. This research work presents an initial review of main theories, conceptual frameworks, and models used to explain the barriers related to digital payment adoption. Most of these studies in the past have established the dominance of some theories and variables, giving less emphasis to qualitative studies. This study will serve as guidance for the scholars and enquiring minds alike, who will carry on with their research in the area of digital payment services.
  Keywords: systematic literature review; SLR; digital payments; barriers.
  DOI: 10.1504/IJBIS.2022.10050075
   
  
• Consumer confusion and its consequential outcome towards online review: The mediated role of emotional ambivalence and cognitive dissonance.  
  by P. Sridevi, MANORAJ NATARAJAN, LakshmiNarasimhan Vedanthachari 
  Abstract: The purpose of this research is to improve our understanding of consumer confusion and its consequences on individual information adoption. Besides giving an idea about various triggers of consumer confusion, this study aims to explore the relationship between different consumer confusions and their reliance on online reviews. The research uses a structural equation modelling approach with 402 valid responses to examine how confusion could lead to pre-purchase cognitive dissonance and emotional ambivalence. Additionally, the study focuses on the mediating role of both pre-purchase cognitive dissonance and emotional ambivalence towards reliance on reviews. The finding shows it is price confusion that dominates reliance on reviews. And both product and price confusion are positively related to emotional ambivalence. Under mediation, emotional ambivalence dominates both the price and product-related confusion towards reliance on reviews. Overall, the framework designed could help digital marketers understand the confusion of online shoppers and their susceptibility towards online reviews.
  Keywords: consumer confusion; price and product confusion; pre-purchase cognitive dissonance; emotional ambivalence; online reviews.
  DOI: 10.1504/IJBIS.2021.10050227
   
  
• Tourist destinations and Organizational ambidexterity: The South-Asian perspective  
  by Namrata Nanda, Siddharth Misra, Amiya Bhaumik, Snigdha Mohapatra 
  Abstract: National authorities and destination management organisations (DMOs) play a key role in helping to regenerate tourism post pandemic. They are faced with the choice of strengthening tourism circumstances with relatively safe, familiar and reliable measures, or adopting more risky, lesser attempted and unknown alternatives. This decision can be represented as the exploitative as well as explorative elements of the strategic theoretical model of organisational ambidexterity, respectively (OA). This geographical focus offers a conceptual understanding of the dynamics through the perspective of OA. It concentrates on India’s unique case in the backdrop of the South Asia. With respect to tourist destinations, a variety of OA consequences have been reported. This emphasises the need for reduced division and seclusion between tourists and native inhabitants, as well as for DMOs to adopt more exploitative-exploitative stances. In regards to the broader impact, it may be claimed that the discussion from the case of India could rather offer more insights to other South Asian nations.
  Keywords: organisational ambidexterity; pandemic; destination management; tourist destination; South Asia.
  DOI: 10.1504/IJBIS.2022.10050233
   
  
• Career Development, Organizational Culture, and Employee Outcome: Towards a contextual model  
  by Sarawut Pathomphatthaphan, Simanchala Das, Keytapark Virat 
  Abstract: The present study proposes a conceptual model to understand the relationship between career development and employee outcome mediated by organisational culture. A structured questionnaire was administered to 278 participants employed in different industrial sectors in India. The proposed model was validated empirically by using the PLS-SEM. The result indicates a direct link between career development and organisational culture and the subsequent impact on employee outcomes. Furthermore, with respect to career development and employee outcomes, an indirect link indicating the full mediating effect of organisational culture is determined. The study has an implication for HR managers. The present findings underscore the importance of organisational culture specifically in job satisfaction and employee engagement in Indian organisational settings.
  Keywords: career development; employee engagement; employee outcome; HRM practice; job satisfaction; organisational culture.
  DOI: 10.1504/IJBIS.2022.10050371
   
  
• Understanding customer purchase intention in social media: An integration of TAM and DeLone and McLean’ model  
  by Mona Jami Pour, Hossein Moeini, Leila Hosseini Nejad 
  Abstract: The main purpose of the research is to provide a model of factors affecting the customer intention to purchase in social media context. Using the DeLone and McLean’ model and TAM along with considering the variables of trust and social presence, a comprehensive view of the factors affecting the intention to purchase social media is provided. To achieve this aim, the survey method was used. The statistical population of the survey is the users of social media that have purchased at least once from these platforms. The analysis method was structural equation modelling. The results indicated that the quality dimensions (information quality, service quality and system quality) of social media sites have a positive impact on perceived usefulness and perceived ease of use. Research innovation is the application of two well-known and accepted models in the field of IS in the topics related to the purchase intention in social media.
  Keywords: social media; purchase intention; technology acceptance model; TAM; DeLone and McLean model.
  DOI: 10.1504/IJBIS.2021.10050397
   
  
• Facial Business Sense For University Contactless Attendance Systems  
  by Ng Joseph 
  Abstract: The participation framework in universities at present use globally is generally using legacy manual-based and is not successful in recording participation since individuals can adjust or manipulate the information without any problem. With present-day camera innovation, the participation framework ought to utilise a facial acknowledgement framework while recording participation. From the blended mode research, it presumed that college understudies have concurred that conventional participation is a problem just to confirm their participation in the study hall due to the enormous class size, subsequently, this framework intends to tackle issues like unwavering quality, forestall no-shows and further develop the time taken while gauging participation. The framework is involving a facial acknowledgement participation calculation in this framework. The exploration of this research shows the advantages of transforming into a facial discovery participation framework in an academic environment. The facial identification method towards another norm for participation in university since it is quicker and more successful to record learner participation.
  Keywords: attendance system; facial recognition; facial recognition algorithm; wireless attendance system.
  DOI: 10.1504/IJBIS.2022.10050452
   
  
• Capability diamond  
  by Mikko Hirvonen 
  Abstract: This paper presents a new model and a model-based application process to support the design of information technology (IT) investments with complementarities to develop business need-based IT-enabled operational capabilities. The research contributes primarily to the IT business value (ITBV) literature and particularly to the discussion of system variables, their relationships, and complementary investments. The
  Keywords: IT investment; investment design; complementary investments; resource-based view; RBV; IT business value research; ITBV; systems theory; system variables; systemic.
  DOI: 10.1504/IJBIS.2022.10050489
   
  
• Using the Analytical Hierarchy Process to Evaluate Investment Opportunities Intended to Vitalize Crowdfunding  
  by Heon Baek, Eui-bang Lee 
  Abstract: This study focuses on equity crowdfunding related research, which is becoming more important along with its rapid spread. By integrating studies on venture capital investment decision, we propose a research model that conjoins VC investment decision criteria. We used the analytical hierarchy process (AHP) method to develop two research models that identify the ways in which decision criteria are prioritised. Through these findings, this study offers timely insights into the development of equity crowdfunding. The results also demonstrate the need for integrative decision criteria for not only investors, but also investees, to determine the suitability of particular investments.
  Keywords: analytical hierarchy process; fintech; crowdfunding; evaluate investment opportunities.
  DOI: 10.1504/IJBIS.2022.10050525
   
  
• Quality of Electronic Design Automation Tools  
  by Nikolaos Georgoulopoulos, Leonidas Hatzithomas, Christina Boutsouki 
  Abstract: Electronic design automation (EDA) tools’ success constitutes a critical element for the enterprises whose main activity is electronic system design, such as integrated circuits or printed circuit boards. Like any other type of information system (IS), EDA tools’ success is mostly based on the quality of information, system, and service, as well as user’s satisfaction. In the present study, the level of EDA tools’ user satisfaction is studied in association with the levels of EDA tools’ information quality, system quality and service quality. To this end, 305 users of EDA tools, who work either in educational
  Keywords: information quality; user satisfaction; EDA tools; service quality; system quality.
  DOI: 10.1504/IJBIS.2022.10050530
   
  
• Advertising and pricing strategies in online video platform  
  by Jinting Huang, Biao Xu, Xiangbin Yan 
  Abstract: In recent years, the rapid development of online video industries enables many retailers, such as Oreo and M&M, to advertise in the video platforms (e.g., YouTube, Netflix) for attracting more potential consumers. In this paper, we propose a theoretical model to study the optimal pricing strategies for a video platform and a retailer. We derive the equilibrium pricing and advertising decisions and analyse the impacts of consumers’ preference, advertising fill rate and advertising fee on the equilibrium results. We find that a lower retailed product price and a higher VIP membership price contribute to higher profits. For the video platform, a nonlinear advertising fee function generates a higher profit to the retailer than a linear advertising fee function does.
  Keywords: video platform; VIP membership; advertising strategy; pricing strategy; advertising fill rate; advertising fee function.
  DOI: 10.1504/IJBIS.2022.10050677
   
  
• An Online Housing Recommender System using Case-Based Reasoning  
  by Catherine Famiwole, Abimbola H. Afolayan, Bolanle A. Ojokoh 
  Abstract: Recommender systems are very useful in assisting users to reduce the complexity involved in making decisions on housing choices, given a large number of choices available to review while searching online. It is therefore important to proffer solutions that can apply to specific requirements of individuals. This research work focuses on the development of a case-based online housing recommender system with the incorporation of critique-based feedback mechanism. Six important attributes relevant to selecting housing were considered and the attributes weights were assigned with consultation with estate agents. Ado-Ekiti metropolis was used as a case study. The system evaluation was carried out using a survey form integrated into the developed web-based application with eighty users. On the average, more than 70% of the participants found the proposed framework simple and easy to use. Thus, the system can be recommended for use by estate agents and individuals in search of housing online.
  Keywords: housing; recommender system; cased-based reasoning; weights; user preferences; web-based application.
  DOI: 10.1504/IJBIS.2021.10050831
   
  
• Decision Support System with Business Intelligence for Thermal Power Plants  
  by Kleyton Cotta, Angelo Cordeiro, Camila Batista, Flavio Junior, Rodrigo Almeida, Carlos Araujo 
  Abstract: In this study, the development of a business intelligence (BI) application for a thermoelectric power plant is discussed. BI is a broad concept that can be applied in many different sectors. Most of the operation data is generated and evaluated in a very short time frame in a power plant, which can encumber the interpretation of power plant operations if analysing a larger time frame. The main idea for this application is to unify high-level overviews of variables from the energy production process, focusing on comparing real to optimised data, in order to better evaluate the difference between operation and the suggested optimisation. The main sources of information are power, consumption (of fuel), cost (of consumption), hours (of operation), and engines health indexes. The real data is extracted from physical sensors existent in each power generating unit, whilst the suggested optimised data is generated from models developed in research and development projects at the power plant. The application dashboards and datasets were entirely developed using Microsoft’s Power BI Desktop, later being published online and shared among the company’s decision-makers.
  Keywords: business intelligence; data analytics; decision support systems; thermal power plants; TPPs.
  DOI: 10.1504/IJBIS.2022.10051141
   
  
• Visualization of Global Research Trends and Future Research Directions of Artificial Intelligence Research in Supply Chain  
  by Mr. Rubel, Bijay Kushwaha, Gagandeep Kaur 
  Abstract: The paper aims to investigate the global trends and future research directions of artificial intelligence (AI) in the supply chain. A bibliometric analysis technique was used to get a comprehensive understanding of research progressions, top-cited articles, authors, and co-citations, top contributing countries and institutions towards the discipline of AI in supply chain. The bibliographies data of 317 documents published on AI in supply chain research was extracted from the Scopus database. The results suggest that the most productive year was 2021, and the author is Foropon, C. The most influential author is Antoniou, G., the institution is the Univ. of Huddersfield, and the country is the UK. Furthermore, seven thematic clusters were identified and further evaluated in the article. It informs and directs researchers on the current state of study in the field of AI literature in supply chain research. It also outlines future research directions in this field.
  Keywords: bibliometric analysis; artificial intelligence; co-citations analysis; co-occurrence analysis; supply chain.
  DOI: 10.1504/IJBIS.2022.10051236
   
  
• Integrating management accounting into information systems: a holistic essay on a manufacturer for the automotive industry  
  by Joaquim Leite, Paulo Neto 
  Abstract: This study aimed to test time-driven activity-based costing (TDABC) on a manufacturer for the automotive industry to verify the most relevant advantages and disadvantages for integration into information systems. A holistic single case study method was used, involving a single Portuguese company that produces components for the automotive industry. Data was collected from a multiple source of evidence: participant observation and documents. To analyse data, an inductive procedure was used in an analytic and descriptive manner. Regarding the results, the most relevant advantage identified was being able to contribute to the improvement of efficiency in the use of resources/capacity and the disadvantage that proved to be the most relevant was being dependent on the integration into information systems. This study is useful for practitioners and serves academic reflection on whether certain advantages and disadvantages of costing methods have different relevance to design their subsequent integration into management systems.
  Keywords: time-driven activity-based costing; TDABC; management accounting; information systems; automotive industry; holistic single case study.
  DOI: 10.1504/IJBIS.2022.10051365
   
  
• Evaluating visitors’ sentiment towards wellness resorts: Insights from an emerging market  
  by Dibya Nandan Mishra, Rajeev Kumar Panda, Kishalay Adhikari 
  Abstract: Public awareness of the benefits of wellness care and the mushrooming of wellness care centres in India creates a scope for analysing the important factors to build customer relationships. The present research makes a novel contribution by empirically evaluating and prioritising the antecedents of visitor relationship quality in the context of Indian wellness resorts and hotels. An n-gram lexical TF-IDF vectoriser method is used to find the sentiment of the reviews shared by the visitors of the wellness resorts. The RIDIT and GRA methods were then applied to rank the antecedents of therapist-visitor relationship quality. Likeability is the most important antecedent followed by customer orientation, expertise, sociability and similarity. The findings of this research can aid the hospitality managers to devise targeted and customised strategies to enhance overall service experience and build enduring customer relationships by offering offer high end services, thereby adding novelty to the research.
  Keywords: wellness resorts; customer relationship quality; sentiment analysis; RIDIT analysis; grey relational analysis; GRA.
  DOI: 10.1504/IJBIS.2022.10051488
   
  
• Revaluating TAM theory in consumer’s acceptance of technology based banking services: A Study in Indian Context  
  by Kamaleswar20222 Boro 
  Abstract: The study examines the influence of relative advantage and perceived risk on perceived ease of use (PEOU) and perceived usefulness (PUs). The technology acceptance model (TAM) has been modified to study the moderating effect of facilitating conditions on the relationship between perceived ease of use and behavioural intention. The study findings reveal that perceived risk, and relative advantage significantly influence perceived ease of use and perceived usefulness, considered antecedents of Davis’ technology acceptance. It was also found that facilitating conditions moderate the relationship between perceived ease of use and behavioural intention to accept technology. Technology acceptance model is thus effective in predicting technology acceptance behavioural intention but calls for the need to incorporate more external variables that impact the antecedents PU and PEOU to provide more explanatory power.
  Keywords: technology acceptance model; perceived ease of use; perceived usefulness; relative advantage; facilitating condition; perceived risk; technology in banking.
  DOI: 10.1504/IJBIS.2022.10051638
   
  
• Impact of Self-Schema Congruity in Charity Website Design  
  by Jinwoong Lee, Dong-Heon Kwak, DEBORAH ERDOS KNAPP, Alan Brandyberry 
  Abstract: Effectively designed websites can positively enhance the donors’ perceptions to facilitate online donation. Drawing on self-schema congruity theory, this study examines the impact of self-schema congruity (SC) in the context of charity website design. This study hypothesises that SC increases perceived social presence, perceived appeal relevance, and intention to use a charity website for donation purposes. We further hypothesise that perceived social presence and perceived appeal relevance increase intention to use. To validate SC and test the research hypotheses, we conducted two experiments. The results of structural equation modelling support our hypotheses. Several theoretical and practical contributions are discussed.
  Keywords: self-schema congruity; perceived social presence; perceived appeal relevance; use intention; charity websites; online donations.
  DOI: 10.1504/IJBIS.2022.10051935
   
  
• VISUALLY IMPAIRED USERS PERCEPTION TOWARDS MOBILE PAYMENT SERVICE IN CHENNAI DISTRICT  
  by Parvathy V, D. Durairaj 
  Abstract: After the pandemic, the usage of digital payment platforms has been increased, in India digital platforms which is available for transactions are digital wallets, RTGS/NIFT, immediate payment systems, etc. Third-party applications providers are also frequently used by Indians such as Google Pay, Paytm, BHIM, and Mobikwik because it is easy to carry the transaction, touch and tap are enough to complete the successful transaction, now we have to think about the visually challenged users. yes, they are also using the smartphone as like a sighted person with the support of a talkback facility, visually challenged users are also slowly adopting the digital platform since it is time savings and low cost. In this study, the researcher found that visually impaired users prefer to use Google Pay for instant money transfers, technical and third-party service is the direct influencing factor that triggers them to use this digital platform.
  Keywords: digital payment; visually impaired users; third-party application providers; TPAP; technical services; third-party services; talkback.
  DOI: 10.1504/IJBIS.2022.10052041
   
  
• Investigating the role of diffusion of innovation theory (DOI) in determining citizen’s intention towards adoption of e-government services  
  by SAMAR RAHI, Babar Hussain, Mahmoud Alghizzawi, Sana Kiran, Mazuri Abd Ghani 
  Abstract: The purpose of this study is to examine citizen’s behaviour toward adoption and usage of e-government services in Pakistan. This study underpinned factors such as compatibility, innovativeness, computer self-efficacy, trust on government and trust on the internet to investigate citizen’s intention to adopt e-govt. services. The research model is further extended with actual usage of electronic-government services and degree of openness. The degree of openness has conceptualised as moderating variable between citizen intention to adopt e-government services and actual usage of electronic-government services. Sample size of this study was 368 and responses were collected from Pakistani citizens. Findings suggest that all outlined factors have significant impact on intention to adopt of e-government service. In addition to that the mediating effect of citizen’s intention to adopt e-government services was also confirmed among compatibility, innovation, computer self-efficacy, trust on the government, trust on the internet and actual usage of e-government services.
  Keywords: compatibility; innovation; computer self-efficacy; trust on government; trust on internet; intention to adopt; actual usage; degree of openness.
  DOI: 10.1504/IJBIS.2022.10052169
   
  
• Determinants of Tax E-filing System Acceptance and the Moderating Role of Perceived Convenience among Tax Preparers in Nigeria.  
  by Saliza Abdul Aziz, Raja Haslinda Raja Mohd Ali, Murtala Zakari 
  Abstract: The aim of this research is to examine the determinants of tax e-filing system acceptance (performance expectancy, effort expectancy, social influence, and facilitating conditions). This study extended the UTAUT model with an additional variable of perceived convenience (PC) as a moderator to address the peculiarity of the Nigerian context. The proposed model was tested empirically through a quantitative study. Data was collected via self-administered survey from tax preparers in Nigeria. A total of 359 valid questionnaires were analysed using PLS-SEM. Findings show that performance expectancy, effort expectancy, social influence, and facilitating conditions significantly influence behavioural intention to adopt tax e-filing. Additionally, with PC, the relationships were stronger. Implications for practice, limitations, and future research direction were highlighted.
  Keywords: tax e-filing; system acceptance; tax preparers; unified theory of acceptance and use of technology; UTAUT; performance expectancy; effort expectancy; social influence; facilitating conditions.
  DOI: 10.1504/IJBIS.2022.10052233
   
  
• Firm-specific Characteristics’ Effect on Cash Holdings and Dividends Payout: Evidence from Simultaneous Equation Modeling  
  by Isam Saleh, MALIK A.B.U. AFIFA, Maha Ayoush, Fares Alsufy, Samer Abosabha, Nissrat Khoshnaw 
  Abstract: This study aims to conduct a simultaneous investigation into firm-specific characteristics of cash holdings and dividends payout using panel data analysis. This study uses simultaneous modelling using the GMM regression model performed for non-financial firms listed on the Amman Stock Exchange (ASE) between 2012 and 2019, with 736 observations for each variable. The results show that the previous year’s cash holdings, investment opportunities, profitability proxied by ROA and firm size positively and significantly affect the cash holdings, while the dividends payout and leverage are negative with a significant effect. Additionally, the findings of the second dynamic behaviour model show that for the previous year’s dividends, the leverage and cash holdings negatively and significantly affect dividends payout. However, investment opportunities, ROA, and firm size positively and significantly affect dividends payout. Finally, scholars, investors, and other decision-makers can use these results to better understand the firm-specific characteristics of cash holdings and dividends payout.
  Keywords: firm characteristics; cash holdings; dividends; simultaneous modelling; Jordanian market.
  DOI: 10.1504/IJBIS.2022.10052259
   
  
• Adoption of Social Commerce in Indian SMEs: A TOE Perspective  
  by Manish Mohan Baral, SUBHODEEP MUKHERJEE, Ramji Nagariya, Sudhir Rana, Venkataiah Chittipaka, Bhaswati Jana 
  Abstract: Social commerce has become a critical hub for sourcing products and connecting with clients to have a competitive benefit in the market. The current research aims to identify and evaluate the factors impacting social commerce espousal in Indian small and medium size enterprises (SMEs). The technology-organisation-environment (TOE) framework is utilised to test the model and the proposed hypotheses. The data was collected from Indian SMEs. Analysis was carried out in SPSS 20.0 and AMOS 22.0. The validity parameters like convergent and divergent validity were found within the threshold for providing the empirical evidence. The findings show that technology, organisation, and environment impact the social commerce adoption in Indian SMEs, and therefore, can increase the efficiency of Indian SMEs. The study can help the managers in identifying the factors that affect the social commerce adoption in SMEs and thus will enable them to leverage the SMEs to their full potential.
  Keywords: social commerce; technology-organisation-environment; TOE; structural equation modelling; SEM; small and medium size enterprises; SMEs; India.
  DOI: 10.1504/IJBIS.2022.10052376
   
  
• The impact of Government Cybersecurity Efforts on the Willingness of Consumers to Disclose Personal Information  
  by Victoria Kisekka, Mohamed Abdelhamid 
  Abstract: Government involvement in cybersecurity defence continues to grow, however, the impact of such efforts on e-services use is not well understood. We draw on the privacy calculus model to examine differences in consumers’ information disclosure decisions across three types of e-services, while also adding the perspective of government cybersecurity preparedness efforts. A scenario design was used to test the hypothesised model for government e-services and non-government e-services. Overall, the results demonstrate that willingness to disclose personal information on e-services websites varies by type of service. Our findings show that government efforts for protecting internet resources motivate individuals to share personal information in exchange for e-services. We determined that government cybersecurity strategies offer the greatest benefit to the public sector, compared to the private sector. Also, consumer awareness and knowledge of government programs for reducing internet threats are essential for promoting positive attitudes towards information disclosure on e-services websites.
  Keywords: e-government; cybersecurity preparedness; privacy calculus; e-services.
  DOI: 10.1504/IJBIS.2022.10052448
   
  
• Implementation Strategies for Enterprise Resource Planning (ERP) System in the Banking Industry: Evidence from the United Arab Emirates  
  by Nizar Alsharari 
  Abstract: This study aims to explain ERP implementation in the banking industry. It also discusses implementation strategies for ERP system and determines factors influencing the choice of ERP implementation strategies. This study uses qualitative research and a case study approach. The findings of this study show that the key success strategies of the implementation of Enterprise resource planning systems were the selection of a project leader, data migration, formation of an operational level project team, costs and benefits analysis, proposal and cost analysis of different ERP systems. The findings also conclude that the implementation methodology of the ERP system consists of five stages: design, implementation, institutionalisation, continuous improvement, and transformation.
  Keywords: implementation strategies; ERP; banking; industry; case study.
  DOI: 10.1504/IJBIS.2022.10052531
   
  
• The main drivers of investment decision in the Malaysian stock exchange market: A PLS-SEM Based Approach  
  by Amina Omrane, Shahab Aziz 
  Abstract: As movements in the stock market have a considerable influence on the economic development and individual investors’ behaviours; it is critical to pinpoint the main factors that may affect investors’ decisions and their readiness (predisposition) to invest in the stock market. This paper deals with three key variables, i.e., perceived expected returns, herding behaviour, and perceived trust, and aims at examining their overall impacts on investor’s attitudes towards investing in the stock market. The data were collected from a total number of 250 valid questionnaires administrated to Bursa Malaysian retail investors in 2019. They were subsequently analysed via the partial least squares structural equation modelling (PLS-SEM) approach. The overall findings revealed that investors’ attitude towards information search mediates the relationship between three main independent variables, (i.e., perceived expected returns, herding behaviour, and perceived trust) and their investment decision. The implications of these results assist stakeholders in recognising the factors that are essential for investors’ decision to invest in the stock market.
  Keywords: perceived returns; perceived trust; attitude towards information search; herding behaviour; investment decision; Malaysian stock market.
  DOI: 10.1504/IJBIS.2022.10052561
   
  
• Consumer sentiment analysis of green product, purchase and consumption pattern: A Comparative Phased Analysis  
  by Abhishek Tripathi, Tripti Singh, Yatish Joshi 
  Abstract: Environmental degradation has alarmed society and humanity as a whole, thus creating a need, to take action for sustaining the resources. Green Purchasing and consumption is an integral aspect of sustainability that reduces the impact of individuals, stakeholders, and institutions on the environment. The covid pandemic caused by SARS-COV-2 has adversely impacted the life and wellbeing of the individual. The primary concern of the present research is the transition in consumer perception about green purchasing and green products. During such a challenging situation, it is important to assess the consumer's perception about green products, and green purchase behavior and finally to suggest policies so that organizations can orient themselves to promote green products.
  Keywords: Consumer Sentiments Green Purchasing Green Products Sustainable Consumption.
  DOI: 10.1504/IJBIS.2022.10052700
   
  
• E-commerce adoption: A comparative Analysis of Manufacturing and Services in Micro, Small and Medium Enterprises  
  by Pawan Kumar, Harpreet Kaur, Rajesh Verma 
  Abstract: E-commerce has altered the traditional brick and mortar business into online business and there are loads of hit stories concerning the growth and expansion of micro, small and medium enterprises (MSMEs) through e-commerce adoption. This paper finds the causes of low adoption of e-commerce in the MSMEs of Punjab. Further the objective was to do comparative analysis of the adoption factors of e-commerce of manufacturing and services MSMEs. Out of the sample size of 384 MSMEs, 163 enterprises were selected from the manufacturing sector and 221 from the Services sector. The key business sectors investigated were hosiery, readymade garments, textile, machine and hand tools, chemical industries, cycle and cycle parts, repair, trade, transport, financial services, etc. Mann-Whitney U test was applied to compare the determinants of e-commerce adoption of the manufacturing and services enterprises. It was found that there was no significant difference between the influencing factors between them.
  Keywords: micro small and medium enterprises; technology adoption; information and communication technology; e-commerce; diffusion of innovation; technology-organisation-environment model.
  DOI: 10.1504/IJBIS.2022.10052746
   
  
• Mobile banking: A Bibliometric analysis  
  by Barun Srivastava, VINAY KANDPAL 
  Abstract: There are numerous studies on the adoption and diffusion of mobile banking; however, there are no studies that map the vast literature on the same. Hence, the present study deals with the bibliometric analysis of mobile banking. Bibliometric analysis of the dataset related to mobile banking was performed on a sample of 459 documents based on a search conducted on the Scopus database. A web-based application Biblioshiny, part of the Bibliometrix package based on R-language, was used. The application software identified important articles, journals, authors, countries, and themes, and citation, co-citation, and network analysis. Results of the study revealed that, initially, research was focused on the concept of mobile banking and adoption and has moved towards financial inclusion and developing countries. The study shows the conceptual and social structure of the field and delivers important insights into the area.
  Keywords: mobile banking; m-banking; bibliometric analysis; Bibliometrix.
  DOI: 10.1504/IJBIS.2022.10052771
   
  
• The Impact of Artificial Intelligence on Project Efficiency Improvement in IT sector.  
  by Prasad Babu P, Vasumathi Arumugam 
  Abstract: The purpose of the research is to study the impact of artificial intelligence (AI) on improving project efficiency. The researchers have used the technology-organisation-environment (TOE) and resource-based view (RBV) framework to study the impact of artificial intelligence on project efficiency. The constructs of AI such as automation, adoption and augmentation and the project efficiency constructs as time, cost, quality and scope are studied and also found the relationship between the constructs of AI and project efficiency. A survey was employed to collect the data from 75 IT employees of top 3 IT companies according to NASSCOM report 2022. The researchers found that the age and their response towards AI automation have significant difference. The researchers have found that the IT companies employee’s efficiency mainly depends on time, quality and scope which in turn reduce costs. This study also reveals that the good work environment mainly depends on automation. From the analysis, it is evident that there is a positive correlation between the adoption of AI and project efficiency.
  Keywords: artificial intelligence; automation; adoption; project efficiency; PE; time; cost; quality and scope; Q&S; IT sector.
  DOI: 10.1504/IJBIS.2022.10052847
   
  
• E-wallet continuance of use: Sequential mediation in Technology Continuance Theory  
  by Aznida Wati Abdul Ghani, Hafaz Ngah, Azizul Yadi Yaakop 
  Abstract: As a result of the rapid changes in a borderless and contactless environment, the study of e-wallet behaviour has sparked interest among scholars in recent years. Accordingly, this study aims to investigate e-wallet users’ intention of continuance usage by incorporating social context (social presence and bandwagon effect) and perceived security using the technology continuance theory. Insights were provided into the mediating impacts of satisfaction and attitude on the relationship between perceived security and continuance usage intention. Self-administered data collection was conducted on 550 respondents in Malaysia using a structured questionnaire. Furthermore, the purposive non-probability sampling approach was employed for the selection of participants. Subsequently, a total of 435 responses were collected and analysed using SmartPLS version 3.3.5. As a result, positive relationships were recorded between social presence and attitude with continued usage intention, although the hypotheses related to satisfaction and the bandwagon effect were unsupported. The findings also showed the relationship between perceived security and continuance usage intention, which was mediated sequentially by satisfaction and attitude. Overall, the findings offered useful information to all stakeholders in Malaysia’s Fin-Tech industry, particularly in the e-wallet community.
  Keywords: e-wallet; mobile wallet; technology continuance theory; TCT; intention to continue use; cashless society; Malaysia.
  DOI: 10.1504/IJBIS.2022.10052873
   
  
• Enabling One-Phase Commit Protocol for Web Service Atomic Transaction  
  by Chirag Rana, Karthikeyan Umapathy, Asai Asaithambi, Lakshmi Goel 
  Abstract: Web service atomic transactions (WS-AT) specification supports two-phase commit (2PC) protocol in a short-lived transaction. However, not all business process scenarios require a 2PC; in that case, just a one-phase commit (1PC) would be sufficient. Unfortunately, WS-AT does not support 1PC optimisation. The ideal scenario where 1PC can be used instead of 2PC is when there is only a single participant. Short-lived transactions involving only one participant can commit without requiring an initial
  Keywords: web services; web services communication protocols; application services and standards.
  DOI: 10.1504/IJBIS.2022.10052926
   
  
• The Impact of Online Presence Development (OPD) on the Relationship between Company Characteristics and Internet Corporate Reporting (ICR): A PLS-SEM Approach  
  by Harmandeep Singh 
  Abstract: The study aims to explore the relationship between a companys characteristics and reporting via its website, based on the top 183 companies listed on the Bombay Stock Exchange (BSE). It validates the evidence for the role of online presence development (OPD) as a mediator in the relationship between these companies characteristics and internet corporate reporting (ICR). The papers proposed model relates four constructs (firm size, profitability, leverage and governance structure) to identify a companys reporting strategy. The research model has been evaluated using partial least square-structural equation modelling (PLS-SEM). The studys findings show that a companys online presence is just as essential as its attributes in influencing its online information transparency and mediating the relationship between a firms size, governance structure and ICR. The study offers companies a new perspective for building a strong online presence to enhance their image, retain their current investors and attract potential ones. The findings also have implications for regulatory bodies, which need to strengthen corporate governance norms for a companys website to assure the accuracy and creditability of the information provided through the websites.
  Keywords: voluntary disclosure; internet corporate reporting; ICR; website accessibility; web visibility; PLS model.
  DOI: 10.1504/IJBIS.2024.10053026
   
  
• Exploration and Prioritization of Critical Success Factors in Adoption of Artificial Intelligence: a mixed-methods study  
  by Sam Solaimani, Reza Dabestani, Thomas Harrison Prentice, Edward Ellis, Michael Kerr, Abhishek Choudhury, Naser Bakhshi 
  Abstract: Artificial intelligence (AI) is becoming a strategic asset for businesses across all sectors. While most large companies have taken their first steps towards AI adoption, the success has remained strikingly limited. The current underdeveloped understanding of the critical success factors (CSFs) is argued to be one of the reasons for failing AI adoption. This study applies a mixed-methods approach, in which a broad information systems (IS) literature is systematically reviewed to identify CSFs relevant to AI adoption, including management support, business casing, problem orientation, data quality, data governance, cyber security and regulations. Next, an analytic hierarchy process (AHP) survey is combined with expert interviews to empirically rank and refine the identified CSFs across a multi-stage AI adoption model. The findings contribute to the scholarly discourse on CSFs relevant to AI adoption and help firms sharpen their focus and leverage their resources efficiently towards a more effective adoption of AI.
  Keywords: artificial intelligence; critical success factors; CSFs; systematic literature review; SLR; analytic hierarchy process; AHP; expert interview.
  DOI: 10.1504/IJBIS.2022.10053346
   
  
• Modelling green technology adoption in a developing country: The application of an extended theory of reasoned action  
  by Razib Chandra Chanda, Ali Vafaei-Zadeh, Haniruzila Hanifah, Syafrizal Syafrizal, Karpal Singh Dara Singh 
  Abstract: This study investigates the factors influencing consumers’ behavioural intention toward using green technology. Purposive sampling was utilised to obtain 369 data employing a quantitative research strategy. The findings unveil that environmental knowledge impacts customers’ environmental concern. Besides, environmental concern has a significant effect on attitude towards green technology. While environmental knowledge does not significantly affect attitude towards green technology; green trust, attitude, and subjective norms positively and significantly influence intention to adopt green technology. Conversely, perceived consumer effectiveness does not affect intention to adopt green technology. The study also found that attitude towards green technology mediates the effect between environmental concern and intention to adopt green technology. However, attitude towards green technology does not mediate the relationship between environmental knowledge and intention to adopt green technology.
  Keywords: green technology adoption; environmental knowledge; environmental concern; theory of reasoned action; TRA; green trust; Bangladesh.
  DOI: 10.1504/IJBIS.2022.10053381
   
  
• The Relative Importance of Usability and Functionality Factors for the Users of Building Information Modeling Software Packages  
  by Ayse Elvan Bayraktaroglu, Uzeyfe Kilicgil, Fethi Calisir, Esin Ergen Pehlevan 
  Abstract: BIM has been attracting attention in the architecture, engineering, and construction industries as a useful tool to prevent poor productivity, which has been a prevalent issue in these sectors. However, there are still some barriers to the faster adoption of BIM software. Functionality and usability are two critical factors affecting information systems’ acceptability by the users. This study aims to determine the interrelationships among the usability and functionality factors in the context of BIM software. For this purpose, two BIM software packages, Autodesk Revit and Allplan Architecture have been selected and evaluated. According to the relative importance preferences of end-users of these BIM software packages, functionality and usability are equally important for BIM software designs. The most critical factors are memorability and customer support/services, followed by customisability, ease of use, and learnability.
  Keywords: usability; functionality; building information modeling; BIM; analytic network process; ANP.
  DOI: 10.1504/IJBIS.2021.10053394
   
  
• Consumer engagement behaviour over time on Fitness tracker Facebook brand pages: Effect of post characteristics, message appeals and marketing promotions  
  by Sujo Thomas, Sonal Kureshi, Vivek Bhatt, Arpan Yagnik 
  Abstract: This research examines the influence of consumer engagement on Fitness tracker Facebook brand pages. Consumer responses from the brand posts of four prominent fitness tracker brands were examined for four years from 2015 to 2018. This study has adopted UGT to understand consumer engagement behavior and the influence of post related content over time with respect to fitness tracker Facebook brand pages. Overall, the study found that all the fitness brands showed a decline in number of posts from 2015 to 2018 with the exception of one brand. As a consequence, consumer responses and engagement were found to have declined over time. The findings indicate that positive emotional message appeals were found to result in higher consumer engagement behaviour. The regression analysis indicates that on Facebook, message appeals might not be as effective as marketing promotions or post characteristics.
  Keywords: Fitness tracker brands; consumer engagement; message appeals; post characteristics; Facebook.
  DOI: 10.1504/IJBIS.2020.10053406
   
  
• Adoption of Disruptive Technologies in Marketing: A Bibliometric Review and Scientific Mapping  
  by Abu Bashar, Shalini Singh 
  Abstract: Technological implication is peremptorily increasing in the field of marketing to operate the marketing functions more competently. Disruptive technologies such as the internet of things, big data analytics, blockchain, and artificial intelligence have changed the ways businesses operate. The marketing applications are campaigns needed to technologically advanced and innovative to sustain this disruption. This study attempts to unveil the adoption of disruptive technologies in marketing from the relevant literature using bibliometric analysis. Scopus data has been retrieved to review the adoption of disruptive technologies that has been filtered to 1,134 research articles during the span of 2002
  Keywords: disruptive technologies; artificial intelligence; AI; machine learning; ML; deep learning; digital marketing; bibliometric analysis; co-citation analysis.
  DOI: 10.1504/IJBIS.2022.10053518
   
  
• The responsibility and impacts of sociological institutional theory  
  by Sarfraz Hussain, Shikha Sharma, Jose Luis, Sivakumaran Chandrasekaran 
  Abstract: According to popular belief, each organisation is distinct in its operations and organisational behaviour. However, we see how firms, particularly those in the same field, are becoming increasingly similar. The institutional theory of organisation, founded primarily as a critique of contingency theory, favours idiosyncratic organisations, explains this phenomenon. We used neo-institutional theory concepts to try to show that institutional volunteer leaders widely accept institutional isomorphism as a way to explain this phenomenon. Our findings show that this isomorphism affects sports organisations on multiple levels during the process of professionalisation. According to our findings, the organisation uses entrepreneurial management and operating tools and develops structural strategies for expanding its services and inventing its goods. Financial empowerment can only occur if organisations increase their financial resources. The hiring of volunteers who have been better trained and adapted to new requirements enables this isomorphism.
  Keywords: institutional theory; mimetic isomorphism; firm performance.
  DOI: 10.1504/IJBIS.2022.10053549
   
  
• Enterprise Resource Planning (ERP) Post-Implementation Success in the Public Sector: The Mediating Role of Organisational Culture  
  by Eric Ansong, Nii Barnor Jonathan Barnor, Florence Odarkor Entsua-Mensah, Lenin Commodore 
  Abstract: This study examines how organisational culture mediates the success factors of enterprise resource planning (ERP) post-implementation in the public sector. It focuses on the Cocoa Marketing Company (CMC) in Ghana, using the survey research design to develop and test hypotheses. Hierarchical multiple regression analysis was used for data analysis, and it was found that top management support and organisational cooperation influenced CMC’s ERP post-implementation success. Additionally, organisational culture mediated the relationship between top management support and ERP post-implementation success. The study has implications for future research, policy and practice which are also discussed. This study is potentially the first to investigate the role of culture in mediating post-implementation ERP critical factors within the agriculture sector of an emerging economy.
  Keywords: enterprise resource planning systems; cocoa sector; digitalisation; organisational culture; developing economy; agriculture; post implementation success.
  DOI: 10.1504/IJBIS.2022.10053613
   
  
• Is It Written in The Stars A Congruence Examination and Empirical Investigation of the Components of an Online Consumer Review Mechanism  
  by Anoop George, Sebastian Joy Panattil, Sreejith PM, Manu Melwin Joy 
  Abstract: Prior research has revealed significant variation in consumer understanding and application of the OCR components, but little research has been done to understand which attribute of the OCR represents the incongruence and congruence. As a result, the credibility and e-trust in the review method are significant worries because they are related factors that can generate revenue for the business. In Study 1, sentiment analysis of 91,200 reviews was performed by applying the ELM and Python to verify the congruence of OCR components. The second study empirically examines how credibility and e-trust in OCR components affect consumers’ behavioural intentions to use the same by extending TPB on 447 responses with Smart PLS. Study 1 revealed a considerable deviation in the alignment of neutral evaluations. The outcomes of Study 2 revealed a strong positive impact of credibility and e-trust on consumers’ behavioural intentions to use OCR components.
  Keywords: online consumer review; OCR; gamification; star rating; e-trust; electronic trust; credibility; e-commerce; electronic commerce; congruence.
  DOI: 10.1504/IJBIS.2022.10053680
   
  
• People Analytics and Research Landscape: A Bibliometric Approach  
  by Neha Suri, Pooja Lakhanpal 
  Abstract: This study seeks to elucidate the research landscape in the area of People Analytics with the purpose to understand the current state of research in the area and identifying spaces for future research in the domain. This study employs PRISMA as the basis for the identification, selection, analysis, and reporting of the relevant literature. The literature so identified is analysed using bibliometrics. The findings of the study shed light on
  Keywords: people management; analytics; bibliometrics; PRISMA; research landscape.
  DOI: 10.1504/IJBIS.2022.10053684
   
  
• Deciphering the role of diffusion of innovation theory and task technology fit model towards adoption of internet of things  
  by Adel Al Youbi  
  Abstract: There is a mutual consensus among practitioners and academician that internet of things create competitive advantages for organisations. Nevertheless, adoption of IOT is still big challenge in manufacturing firms due to complex nature of technology. The current research aims to identify factors which influence employee behaviour to adopt internet of things. The research model of this study comprises factors underpinned diffusion of innovation theory and task technology fit model to investigate employee behaviour towards adoption of internet of things. Data were collected from 282 employees working in manufacturing firms. Results revealed that altogether task technology fit, compatibility, innovativeness, communication capabilities and results demonstrability explained large variance R2 52% in adoption of internet of things. Findings suggest that firm performance could be achieved through innovativeness, complexity reduction and result demonstrability. This study is unique as integrates task technology fit model and diffusion and innovation theory and enrich information system literature.
  Keywords: internet of things; IOT; task technology fit; diffusion of innovation theory; complexity reduction; results demonstrability; COVID-19 crisis.
  DOI: 10.1504/IJBIS.2022.10053849
   
  
• Successful employee retention practices: Characteristics found in Danish and Icelandic banks  
  by Unnar Theodorsson, Svala Gudmundsdottir, Thorhallur Gudlaugsson 
  Abstract: Based on the elements of social exchange theory this study sought to investigate the characteristics uncovered in large commercial banks that have successfully retained talented employees. The qualitative data was collected via 32 interviews and the participants comprised of four stakeholder groups: 1) external recruitment specialists; 2) HR managers in banks; 3) mid-level bank managers; 4) bank specialists. The results reveal that a structured and systematic investment in talent management and strategic human capital has an impact on the retention of specialist. In addition, organisational connections with employees, employee education, inclusive communication, recognition, and management recruitment practices all impact the employees satisfaction with their employer, thereby improve the retention rate. This research contributes to the literature as it validates the importance of investment in talent
  Keywords: strategic human capital; SHC; talent management; strategic human resource management; HRM; motivation; banking industry.
  DOI: 10.1504/IJBIS.2023.10054074
   
  
• 'I Often Get Tempted......To Use Mobile Food Apps': Understanding the Perceived Utility Of Mobile Food Apps  
  by Santanu Mandal, Radhika R, Swetha Sunil Kumar, Payel Das 
  Abstract: Our study explored the role of mobile attachment, facilitating conditions, social influence, time saving, price saving and food quality concern in the development of perceived ease of use and usefulness of mobile food apps. Furthermore, the impact of ease of use and usefulness of mobile food apps on behavioral intentions are also explored. A cross-sectional survey was conducted to collect and validate the proposed association. Data were collected from 172 individuals who frequently use mobile food apps to order food and were analyzed using confirmatory factor analysis and structural equation modeling. Findings suggests a prominent role of mobile attachment, facilitating conditions, social influence, time saving, price saving and food quality concern in the development of perceived usefulness and ease of use of mobile food apps. Furthermore, the ease of use and usefulness of mobile food apps also positively influence recommend intentions and intention to use new apps.
  Keywords: mobile attachment; perceived ease of use; usefulness; food apps; behavioral intentions.
  DOI: 10.1504/IJBIS.2021.10055217
   
  
• Examining consumer behavior towards continuance use of Mobile shopping Apps with the integration of expectation confirmation theory, and flow theory  
  by SAMAR RAHI, Mahmoud Alghizzawi, Mehwish Ishtiaq, Abdul Hafaz Ngah, Ahmed Muneeb Mehta 
  Abstract: The purpose of this research work is to investigate consumer behavior towards continuance use of m-shopping applications. The current research comprises sample of 401 users working in education sector. The research model is evaluated by applying structural equation modeling. Findings revealed that expectation confirmation theory, brand-awareness facets and flow theory are positively associated to user satisfaction. Similarly, the user satisfaction is positively associated to the continuance intention to use m-shopping apps. This research has revealed substantial explanatory power of 82.6% towards continue use of m-shopping applications. Furthermore, analysis of the importance performance matrix shows that satisfaction and expectation-confirmation are the most essential elements in determining user intentions to continue using m-shopping apps. This research is unique as it combines factors underpinned flow theory, brand facets and expectation confirmation model to investigate user continuance behavior to use m-shopping apps.
  Keywords: Flow theory; Expectation-confirmation model; Brand-awareness facets; Continuance intentions; Consumer behavior; User satisfaction.
  DOI: 10.1504/IJBIS.2021.10054118
   
  
• Analysis of Ergonomics Experience for the State-owned PRR Sign Information System Using UCD and UEQ Approach  
  by Batara Parada Siahaan, Anna Sulastri Simanjuntak, Vetra Febriyanti Tampubolon, Pande Raja Hutagaol 
  Abstract: PRR is a government-owned company that offers information technology solutions such as e-authentication, e-identity, e-payment, data centres, and other IT services. One of the products, branded "PRR Sign System," became the focal point of this research object evaluation. The PRR Sign application is designed to deliver digital signatures to end users. Unfortunately, PRR Sign System clients have observed that specific components of the application's user interface may obstruct the user experience. Thus, this study aims to redesign the user interface using user-centered design (UCD). In addition, this study used a User Experience Questionnaire (UEQ) with 25 respondents to analyze the user experience. Following the criteria in this study, our design review results indicated that attractiveness, clarity, efficiency, accuracy, stimulation, and innovation are all acceptable. In conclusion, our prototyping process and UEQ analysis are adequate, and the design meets expectations.
  Keywords: prototyping; redesigning; user-centered design; user experience questionnaires; human experience evaluation; system redesigning.
  DOI: 10.1504/IJBIS.2023.10055186
   
  
• Predicting Banking Customers' Intention to Accept Social Commerce: Developing a Cognitive Map  
  by Nasibeh Pouti, Mohammad Taghi Taghavifard, Mohammad Reza Taghva, Mohammad Fathian 
  Abstract: The phenomenon of social commerce as a technology-based innovation and the tendency of users to accept it has occupied about a decade of research. The purpose of this study is to provide a comprehensive model for social commerce intention. By systematically reviewing of literature and studying about 200 research works, 228 confirmed factors in social commerce adoption studies were identified. After two stages of screening the factors and identifying the more important factors, 24 factors were examined. Based on the opinions of experts in the fuzzy Delphi method finally, ten factors were identified. Then a fuzzy cognitive map algorithm was performed, and the strength of the relationship between the factors was recognised. Also, by reviewing the multiplicity of the relationships between factors in the research literature and using the fuzzy DEMATEL method, 23 relationships were determined in the final cognitive map for the ten identified factors.
  Keywords: social commerce acceptance; fuzzy cognitive map; fuzzy Delphi; fuzzy DEMATEL.
  DOI: 10.1504/IJBIS.2022.10054306
   
  
• DECISION FACTORS FOR TRANSFORMATION TO REMOTE WORK BY IT COMPANIES  
  by Parthasarathy Sudhaman, Rajendra M. Sonar, Anitha Gracy 
  Abstract: The COVID-19 pandemic has forced information technology (IT) companies to work remotely by enlisting the help of home-based IT professionals. Nevertheless, many companies and the individuals who work for them were not prepared for the shift; therefore, they are currently dealing with limitations and challenges. Additionally, they lack a thorough understanding of the requirements for remote work as well as its benefits and drawbacks. The benefits and drawbacks of remote work for IT workers are discussed in light of our findings. We also talk about the important aspects that IT companies should think about when deciding whether or not to use remote work.
  Keywords: work from home; remote work; IT development; global application software.
  DOI: 10.1504/IJBIS.2023.10054344
   
  
• The mediating role of gamification engagement towards m-payment adoption in an emerging economy. Do males and females behave differently?  
  by Anam Akhtar, MADHVENDRA PRATAP Singh, MRIDULESH SINGH, Pankaj Kumar Tripathi, Parag Shukla 
  Abstract: The current examination analyses the relationship between the three variates of the theory of planned behaviour (TPB) and intentions to use m-payment applications in an emerging economy using gamification engagement as the mediator using an integrated theoretical framework. The examination is one of the first few inferences in the context of emerging economies addressing the aforementioned relationships for male and female users in the region in order to facilitate service providers and policy makers to develop suitable policies and marketing strategies. The examination revealed that all the three variates of TPB affect intentions to use m-payment applications via gamification engagement and further that there is no significant difference between males and females when it comes to acknowledging the impact of gamification.
  Keywords: emerging economy; gamification engagement; m-payment applications; gender; service providers.
  DOI: 10.1504/IJBIS.2023.10054398
   
  
• Preliminary Insights of Cloud ERP Adoption in SMEs: Evidence from Egypt  
  by Salma Amer, Mohd Heikal Husin 
  Abstract: Cloud ERP is a practical and feasible alternative for Small and Medium Enterprises. Its "pay-per-use" strategy, flexibility, and scalability allow SMEs to benefit from the advantages of an ERP system at lower costs. However, developing countries, especially those in Africa and the Middle East, lag far behind in CERP adoption. Only few studies investigated CERP adoption in these countries and thus the exact influential factors remain unknown. Therefore, this exploratory study aims to fill the existing research gap by examining the factors that impact CERP adoption in SMEs in Egypt. Data is gathered from 23 SMEs in Egypt through semi-structured interviews. The insights gleaned from the interviews' analysis are matched to previous findings from relevant studies to identify the similarities and differences. The identified factors are based on the theoretical foundation of the DOI/TOE framework. According to the findings of this study, the elements most likely impacting CERP adoption in Egyptian SMEs include compatibility, observability, technological readiness, top management support, CERP knowledge, firm scope, service provider support, service provider reputation, and competitive pressure.
  Keywords: cloud computing; cloud ERP; Enterprise Resource Planning; Software-as-a-Service; SME; TOE; DOI; IS adoption; Egypt.
  DOI: 10.1504/IJBIS.2023.10054460
   
  
• Impact of Online Brand Experience on Customer Brand Engagement: An Empirical Study in Online Retail Shopping  
  by Faseeh Amin, Fayaz Ahmad Nika 
  Abstract: With the growing importance of online buying in contemporary times, it has become imperative to explore online brand experience (OBE) within the context of the online shopping environment. The main research objective of this study was to investigate the influence of OBE on the CBE (customer brand engagement) of online retail shopping brands. The relationship between OBE and its nine antecedents has been investigated. The moderating role of gender between OBE and CBE has also been examined. Path analysis (SEM) was used to test the relationships in the study. The results revealed that the OBE influence all three dimensions of CBE. The relation between OBE and its antecedents is also positive and statistically significant. It was also revealed that gender moderates the relationship between OBE and CBE. These research results provide managers and academicians with essential guidelines on improving online experiences to foster CBE.
  Keywords: online brand experience; OBE; customer brand engagement; experiential marketing; online shopping; e-commerce; online shopping brands.
  DOI: 10.1504/IJBIS.2023.10054609
   
  
• Relationship between e-service quality, usability and user experience of web-based applications in the context of a university web portal: A PLS-SEM approach  
  by Samuel Ssemugabi 
  Abstract: The increasing worldwide use of ICT has resulted in the need to improve the e-service quality, usability and user experience of web-based applications such as university web portals. There has been an increase in the provision of university web portal services. This is mainly due to the increasing needs of staff, students and other stakeholders for more online services of a higher quality that offer high levels of usability and an improved user experience. The purpose of this paper is to explore the relationship between e-service quality, usability and user experience (e-SQUUX) using partial least squares structural equation modelling (PLS-SEM). Using a cross-sectional research design, survey data were acquired from 174 participants from a mega-university to achieve this purpose. It was found that usability has a significant positive effect on both e-service quality and user experience, and that e-service quality has a significant positive effect on user experience.
  Keywords: e-service quality; usability; user experience; web-based applications; WBAs; university web portals; structural modelling; partial least squares; structural equation modelling.
  DOI: 10.1504/IJBIS.2023.10054649
   
  
• Adoption of enterprise resource planning (ERP) Systems and Impact on decision-making performance in Jordanian manufacturing SMEs  
  by Awn Al Shbail, Mohannad Al Shbail, Seif Al-Shbiel 
  Abstract: ERP adoption is still in its infancy in Jordan and many other developing nations. This study looks at the factors influencing the adoption of ERP and how it influences the performance of decision-making in SMEs engaged in manufacturing in Jordan. This work provides a model for ERP adoption that combines important elements from earlier studies with additional, unexplored aspects. The ERP adoption model was tested, and the variables associated with ERP adoption were identified using data collected from 136 decision-makers in various Jordanian manufacturing SMEs. The most significant factors of intention to use ERP were user training, system quality, and knowledge management. Also found to have a good relationship with decision-making performance is the intention to adopt ERP. Decision-makers can utilise the findings to spread and adopt ERP systems more widely in Jordan.
  Keywords: decision-making performance; intention to adopt ERP; Jordan; SMEs; enterprise resource planning.
  DOI: 10.1504/IJBIS.2023.10054924
   
  
• Factors influencing FinTech adoption: Evidence from Jordan
  by Dheifallah E’leimat 
  Abstract: In Jordan and many other developing nations, the financial technology (FinTech) sector is still a young one. This study looks at the variables influencing the adoption of FinTech and how it affects the banking business value. This study suggests a model that combines organisational and environmental factors from earlier studies with additional FinTech adoption-related aspects that have not yet been examined. Data collected from 89 financial managers, IT managers, and accounting department heads in several Jordanian banks were used to evaluate the FinTech adoption model and identify factors that are positively or adversely related to FinTech adoption. The most significant factors influencing the adoption of FinTech were found to be top management support, policies, organisational culture, and competitive pressure. Adoption of FinTech was also found to be positively correlated with business value. The findings will help bank management spread and employ FinTech more widely in Jordan.
  Keywords: FinTech; organisational factors; environmental factors; TOE framework; banking sector; Jordan.
  
  
• Artificial Intelligence in Audit and Assurance Services: Evidence from Saudi Arabia  
  by Eid M. Alotaibi  
  Abstract: This article investigates Saudi professionals’ views about artificial intelligence (AI) in assurance services. Specifically, this paper studies the opinions of auditors and other assurance services professionals (ASPs) about the value that AI tools can bring to audit and assurance services. This study also compares the perspectives of auditors and ASPs when considering using AI and its effect on assurance quality. Data were gathered through online questionnaires distributed to employees of assurance services firms, with 105 participants working in auditing services and 95 participants working in other assurance services. The investigation revealed there was no statistically significant distinction between the opinions of auditors and ASPs about the impact of AI on the quality of auditing and assurance services. Moreover, both auditors and ASPs believe that AI makes perceived contributions (PCs) to the quality of the provided services.
  Keywords: artificial intelligence; auditing; assurance services; assurance quality; Saudi Arabia; assurance services professionals; ASPs.
  DOI: 10.1504/IJBIS.2023.10055189
   
  
• Information systems change and public-private partnerships governance: Accelerators factors for discontinuing loosely coupled hospital management accounting practices  
  by Joaquim Leite 
  Abstract: This study aims to explain how loosely coupled management accounting practices (MAPs) in public hospitals change and why. An embedded multiple case study method was used, involving three cases of public-private partnerships (PPP) governance in Portuguese public hospitals across several units of analysis. Data collection was done in documents and through five in-depth interviews. Data were interpreted following a qualitative methodology. The results showed inertia pressures in Portuguese public hospitals, constrained by centralised public management accounting, with loosely coupled MAPs persisting with little or no instrumental utility. In turn, the PPP governance context allowed public hospitals to switch to new information systems that quickly discontinued MAPs immersed in the phenomenon of loose coupling. Particularising the case of PPP governance in healthcare, this research reinforces the theory that the change in the governance model (organisational change) and information systems is the key external factor of change in accounting.
  Keywords: -private partnerships governance; PPP; information systems change; loose coupling; discontinuity of management accounting practices; MAPs; Portuguese public hospitals.
  DOI: 10.1504/IJBIS.2023.10055190
   
  
• The Influence of Crowdfunding on Local Entrepreneurs in Kuwait: Implications and Opportunities  
  by Abrar Al-Enzi, Faleh AlRashidi, Randa Diab-Bahman 
  Abstract: Given the importance of small and medium-sized enterprises (SMEs) to the growth of a country’s economy and the recent development of the FinTech market in Kuwait, this study aims to measure the awareness/perception of Kuwait’s SME and start-up entrepreneurs on the current lending opportunities and their sentiments on the lack of crowd-funding platforms as a business funding support through analysing mixed methods data. The findings of this research suggest that conventional financial aid is mostly negative regarding time management, paperwork procedures and decision-making; therefore, an alternative source of financing could contribute to more business activities which will contribute to Kuwait’s economy. This paper contributes to new knowledge within the field of crowdfunding as it provides a conceptual framework on the benefits of alternative financial funds and could equip financial business leaders with new knowledge regarding entrepreneurs’ perceptions of crowdfunding and why they should consider implementing it in Kuwait.
  Keywords: business development; crowdfunding; entrepreneurship; financial system; investments; Kuwait; small and medium-sized enterprise.
  DOI: 10.1504/IJBIS.2023.10055331
   
  
• How to Measure IT Effectiveness within Cloud Computing Using Dimensions of IT Flexibility  
  by SALAMEH MJLAE 
  Abstract: Cloud computing has increased huge consideration because of its availability and technological advancement. There was an absence of empirical evidence to assess the association between dimensions of IT flexibility (ITF), connectivity, modularity, and compatibility related to cloud computing adoption (CCA) and IT effectiveness (ITE). This article intended to add this potential to the body of understanding that will be valuable by IT organisations and businesses to achieve the most significant result to be attention to the critical viewpoints of cloud computing-based services and solutions. This paper provides a statistical indication about all dimensions of ITF specific to CCA, significantly predicted ITE, in which the connectivity dimension was the top predictor. In contrast, the dimension of compatibility is less prediction to ITE. Additionally, this research proposes developed software based on a model called adopted connectivity modularity compatibility (ACMC) to calculate ITE. The study’s findings showed that the combined dimensions of ITF specific to CCA had a significantly positive effect on ITE in small and medium enterprises (SMEs). Moreover, the model can be used in all SMEs for future evaluation after applying the given recommendations of this study.
  Keywords: cloud computing adoption; CCA; IT flexibility; ITF; IT effectiveness; ITE; small and medium enterprises; SMEs.
  DOI: 10.1504/IJBIS.2023.10055550
   
  
• ChooseAbrand: A hybrid approach using aspect-based sentiment analysis to analyze customer reviews toward brand loyalty  
  by Sohail Ahmad, Shabir Hussain, Irshad Hussain, Ahmad Iqbal, Muhammad Ayoub, Awais Dastgeer, Li Liang 
  Abstract: This research focuses on integrating constructs that have not been traditionally used in the lovemarks theory. We have proposed a hybrid approach. In the first part, we propose a conceptual model to investigate the impact of brand equity on brand loyalty and the mediating role of lovemarks. SEM with AMOS is used to analyse the measurement and structural regression (SR) model for all the proposed relationships of the study. The finding confirms that brand equity significantly correlates with brand loyalty. In the second part, we used a text mining technique to evaluate open-ended questions and textual responses to uncover customer aspects and sentiments about the brand. We proposed a topic modelling technique to extract the aspect terms and performed automated annotation on unlabelled feedback. We used machine learning and deep learning models for sentiment and topic classification. We achieved 90.62% accuracy with SVM in sentiment classification and 93% with BERT for topic classification process.
  Keywords: lovemarks; brand equity; brand loyalty; consumer brand relationships; aspect-based sentiment analysis; customer reviews; topic modelling; machine learning and deep learning model.
  DOI: 10.1504/IJBIS.2023.10055556
   
  
• Assessment of impact of training and learning opportunities on the organizational performance  
  by Frass Hussain Khalil Mugharbel, Zulfiquar Ansari, Muhammad Zafar Yaqub 
  Abstract: The objective of this study is to investigate the relationship between variables namely training, job satisfaction, loyalty, retention, employee commitment/engagement and employee performance. A questionnaire-based survey was conducted to collect the data. A total of 28 questions relevant to the study were designed using a five-point Likert scale. The population of the study were 240 of which 213 responded. Then, with the use of Statistical Package for Social Scientists (SPSS) and Analysis of Moment Structures (AMOS) IBM Software the collected data was analysed. A structural equation model demonstrating the impact of training on different variables is also presented. The findings of the study indicate that training employee’s results to increased performance and effectiveness of the employee and hence improve the satisfaction level. This research work also found that satisfaction and loyalty, which act as the mediating variables, significantly impacts in the retention of the employee.
  Keywords: training; job satisfaction; retention; performance; loyalty; organisation.
  DOI: 10.1504/IJBIS.2023.10055594
   
  
• A Bibliometric Analysis of Religiosity and Purchase Intentions: Overview, Insights and Future Research Directions  
  by Manish Kumar, Gaurav Gupta, SATINDER KUMAR 
  Abstract: Bibliometric analysis is an increasingly popular and effective method for studying, exploring, and analyzing data pertaining to a specific field or topic of interest, which can help provide meaningful insights on new and evolving areas of relevance. Unfortunately, the literature has thus far ignored and understudied the highly pertinent, crucial, and vital topic of religion and its effect on purchasing intentions.We explore this topic through the lens of a comprehensive and robust bibliometric analysis by leveraging VOSviewer. In doing so, we identify countries that contribute to articles on this topic, journals that are active contributors on this topic, citation metrics, collaborative clusters and relationships that are developing, opportunities for the future that can be leveraged to advance this topic, and theoretical implications for researchers and scholars.
  Keywords: religiosity; religion; purchase intentions; bibliometric analysis; citation analysis.
  DOI: 10.1504/IJBIS.2023.10055663
   
  
• Machine learning and credit default: a systematic literature review and taxonomy  
  by Eduardo Silva, Jorge Barbosa 
  Abstract: Credit default represents a problem for financial institutions. This is one of the reasons why banks are increasingly using algorithms to predict credit default. This article makes a systematic review of literature about the use of machine learning in credit default and proposes a taxonomy. This taxonomy organizes techniques and algorithms, establishing relations between each one with the studies that compose this article. The research identified 2,361 studies published from 2012 and April 2022. After the filters, a corpus of 27 works was analyzed. This article covered the application domains as well as data structure and data analysis techniques. The review found use of machine learning in risk scoring, portfolio pricing, and loss prediction. On the other hand, the study showed that few applications focus on credit default recovery. This finding makes the systematic review relevant when considering the current economic scenario and the increase of bad debts.
  Keywords: machine learning; credit default; systematic literature review.
  DOI: 10.1504/IJBIS.2023.10055817
   
  
• A Dual-Route Perspective on Continuance Intention of Peer-to-Peer Mobile Payment  
  by Trang Nguyen, Xuan Tai Mai 
  Abstract: The increasing prevalence of peer-to-peer (P2P) mobile payment is dramatically changing users' payment patterns. By integrating perceived value perspective and status quo bias (SQB) theory, this research aims to explore the factors influencing users' continuance intention of P2P mobile payment through the dual-route perspective. One route is service-related factors from perceived value perspective investigating users' intention through different values of the provided service that they perceive. The other route is individual-related factors originating from the SQB theory reflecting internal factors that users may be biased from their current usage. An online survey was performed to obtain data. The findings reveal that the higher level of service-related factors including perceived convenience, perceived enjoyment, and social image enhances users' continuance intention. Benefit loss costs and transition costs positively determine the level of inertia which in turn affects existing users' continuance intention. This study is the first attempt to examine users' continuance intention of P2P mobile payment systems.
  Keywords: peer-to-peer mobile payments; P2P; dual route perspective; status quo bias; SQB; perceived value; continuance intention.
  DOI: 10.1504/IJBIS.2023.10055820
   
  
• Communication Preferences of Underserved Chronic Disease Patients and the Role of Demographic Factors  
  by Kaushik Ghosh, Eileen Curl, Patti Moss, Purnendu Mandal 
  Abstract: Preference of communication technologies for patient-provider communications is an important consideration for healthcare administrators. This study focused on analysis of patient demographics and their preferences of communication technologies in two large clinical sites serving low-income patients. The survey instrument considered demographic factors such as age, education, gender, and ethnicity of chronic disease patients. It was observed that older patients typically preferred face-to-face communication or regular mail for follow-ups in between visits to the clinic due to the interactive process and active listening. The findings provide insights in designing communications infrastructures for regular off-site patient-provider communication, or for interactions during unforeseen disruptions, such as one that may be due to a pandemic.
  Keywords: patient-provider communication; communication technologies; demographic survey; chronic disease patients; low-income patients.
  DOI: 10.1504/IJBIS.2020.10055822
   
  
• Investigating the perceptions of Malaysians, roles of Innovation Helixes and CRM models in Malaysia's COVID-19 health & economic measures, comparative lessons learnt  
  by Athira Zuhaira Ahmad Yusri, Chien Sing Lee 
  Abstract: With the current Coronavirus (COVID-19) pandemic's socio-economic challenges, we investigate Malaysians' perceptions towards these measures. This study first review measures taken by other countries and by Malaysia, as bases for formulating our questionnaire. The survey questions focus on demographics, perceptions on health, psychological/wellbeing and economic measures, and propose strategies for economic recovery. Overall, perceptions vary according to demographic groups. The measure that is most agreed on, is wearing of face masks in public/crowded areas. Malaysians least agree on closure of education institutions. Furthermore, besides subsidies, there is emphasis on building competencies, emulating Buttle's Gartner's and Payne and Frow's CRM models. Breakdown in demographics indicate areas, which can be attended to, given priorities and resources. Framing analyses/prioritization via innovation economics/theory, Triple/Quadruple Helixes, CRM models, design thinking, analytics, and risk management do broaden perspectives, and enrich local best practices internationally in times of crisis.
  Keywords: COVID-19; Malaysia; perceptions; health; economic measures; innovation theory; Triple/Quadruple/Quintuple Helix; CRM models.
  DOI: 10.1504/IJBIS.2023.10055826
   
  
• A Quantitative Model for Measuring Business and IT Alignment Based on Process-Oriented IT KPIs  
  by Mohammad Amin Biaram, Moslem Habibi, Ali Bozorgi Amiri 
  Abstract: With the growth of emerging technologies and their impact on all aspects of an organisation, the importance of achieving and maintaining business/IT alignment (B-ITA) has increased. One of the main problems in this area is the need for a quantitative measurement system. This research focuses on creating such a model to evaluate B-ITA using data obtained from process-oriented IT KPIs. To this end, we review and select KPIs directly impacting B-ITA, making use of the fuzzy Delphi technique to filter the most effective ones. Next, we prioritise the chosen KPIs using the CRITIC and CoCoSo methods, obtaining their values from relevant business information systems, standard questionnaires, and interviews to calculate the B-ITA index. The simplicity of the measurement model presented in this study can facilitate managers in improving their insight into the organisation's current B-ITA level, allowing them to track and enable continuous improvement of business/IT alignment.
  Keywords: business/IT alignment; quantitative measurement model; KPI; IT infrastructure library; ITIL; B-ITA maturity; fuzzy Delphi; CRITIC; CoCoSo.
  DOI: 10.1504/IJBIS.2023.10055946
   
  
• A RNN-Based Model to Increase the Diversity in a Session-based Recommender System  
  by Mahesh Mohan, Saran Chaitanya Vinnakota, P. Santhi Thilagam 
  Abstract: The session-based recommender systems that generate recommendations through implicit feedback encounter several challenges while generating the recommendations. One challenge is to generate recommendations according to the changing user preferences known as user interest drift. The presence of noisy or unwanted interactions is one of the major limitations in understanding user preferences and generating recommendations. But the user satisfaction does not increase by viewing similar items alone. Hence, there is a need for generating diversified recommendations. But there exist few users who like to view similar items alone. This necessitates the balance between both similar and diversified recommendations. This work proposes the RNN-based model that effectively captures user preferences by identifying noisy interactions and generates recommendations that can increase user satisfaction. The proposed methodology has been evaluated on benchmark datasets and acquired better results.
  Keywords: session-based recommender systems; SBRSs; user interest drift; UID; noise; diversity.
  DOI: 10.1504/IJBIS.2023.10055947
   
  
• Factors Influencing Enterprise Resource Planning (ERP) Technology Adoption in Organisations  
  by Hamidur Rahaman Shibly, A.B.M. Abdullah, Md. Mahmudul Alam, Wahid Murad 
  Abstract: The main objective of this study is to examine individual, organisational, social, and industrial factors that significantly influence the adoption of new technology by employees in the USA and Canada. This study specifically focuses on employees' adoption of enterprise resource planning (ERP) at their organisational level. The data were collected from employees through an online survey. Path modelling analysis has been employed to determine the relationships between employees' adoption of ERP technology and their organisational, social, individual, and industrial factors. The empirical findings conform to some extent, if not fully, to those obtained earlier by some past studies. Specifically, all the individual, organisational, social, and industrial factors are found to significantly influence ERP technology adoption by employees in both countries at their organisational level. This study helps us to understand employees' acceptance of enterprise-level technological innovation. Employees are expected to effectively maintain positive cognitive and behavioural processes and a high level of performance, which may help them create a workplace environment conducive to adopting a new technology. Offered in this paper is a broader theoretical and practical understanding of the phenomenon so that organisations can boost their performance through successful adoption of new technologies.
  Keywords: enterprise resource planning; ERP; technology adoption; individual factors; organisational factors; social factors; industrial factors; North American organisations.
  DOI: 10.1504/IJBIS.2023.10055989
   
  
• Smart Home Adoption: A Threat Mitigation Perspective  
  by Avant Kumar, Prakash Attili, Ashwani Kumar 
  Abstract: The rise of the internet has led to the increased adoption of smart internet of things (IoT) entities like smart homes. Within the context of privacy, there are threat-inducing situations while using these systems. This paper aims to understand smart home adoption from a threat mitigation perspective. Protection motivation theory and the expanded personal information privacy model serve as this study’s theoretical foundations. This research reveals several interesting findings: 1) threat severity and effectiveness of privacy assurance mechanisms kindle protection motivation; 2) threat susceptibility and self-efficacy do not play any significant role in triggering protection motivation; 3) consumers’ protection motivation positively impacts their privacy customisation efforts over the smart home network; 5) gender moderates impact of protection motivation on privacy customisation efforts; 5) a significant negative impact of privacy literacy on the smart home adoption intention. This research adds to the smart home adoption, privacy, and protection motivation theory literature.
  Keywords: threat; privacy; privacy customisation efforts; privacy literacy; smart home; adoption; protection motivation theory; PMT.
  DOI: 10.1504/IJBIS.2023.10056041
   
  
• Business Process Management Maturity Assessment Based on Organizational BPM Capabilities of the Digital Era  
  by Chalani Oruthotaarachchi, Janaka Wijayanayake, Madhuke Bodhinayake 
  Abstract: Digitisation has caused many opportunities and challenges, changing how business process management (BPM) initiatives manage and creating new organisational capabilities required for BPM success. Assessing an organisation’s BPM capabilities is crucial for any BPM initiative’s success. Organisation’s BPM maturity can be evaluated based on the availability of BPM capabilities. The BPM research domain is ever-increasing; however, it lacks studies on organisational BPM capability and maturity assessment focused on Sri Lankan contexts. This research study evaluates the significance of selected BPM capability factors in the Sri Lankan context and their relevance in measuring organisational BPM maturity. The questionnaire method was used for data collection and PLS-SEM for data analysis. Based on the results, the study presents a new maturity assessment model combining the capability factors, their relevance to measuring maturity, and five maturity levels. This model updates and expands the existing maturity models by addressing the requirements and difficulties associated with the current trends in the BPM domain.
  Keywords: BPM capability; BPM maturity assessment; structural equation modelling; hierarchical component model.
  DOI: 10.1504/IJBIS.2023.10056091
   
  
• Bibliometric Analysis of the Four-Decades Development in Electronic Banking Research  
  by Fowokemi Ogedengbe, Yurita Yakimin Abdul Talib, Fariza Hanim Rusly 
  Abstract: This study aims to analyse the knowledge base of e-banking using science mapping. Data on e-banking literature was generated from the Scopus database using the selected keywords e-banking and its synonyms, such as electronic banking, online banking, mobile banking, and internet banking. Data analysis tools such as Microsoft Excel, Harzings Publish or Perish and VOSviewer were used for data visualization of clustering, generation of citation metrics and index analysis. Results were presented in quantitative forms such as graphs, figures, and tables. The direction for future studies shows the need for esearch in industry-specific areas such as sustainability and green banking. In addition, the impact of industry revolution 4.0 technologies applications such as artificial intelligence (AI), big data, blockchain, and the cloud on virtual banking need in-depth research. Moreover, subsequent studies may examine the bibliometric analysis of e-banking by extending the search to other keywords, analysis software and databases.
  Keywords: bibliometric analysis; electronic banking; mobile banking; online banking; VOSviewer; harzing's publish or perish.
  DOI: 10.1504/IJBIS.2023.10056421
   
  
• Interplay of Social capital and Online Social Network influencer  
  by Ankur Dahiya, Pradeep Kumar, Vivek Gupta 
  Abstract: Social influencers have capability of organising many people around certain idea/theme. Many times these community/group work for the development of society but sometimes they may be seen as working against the society/government. Online social networks have high reach without any geographical boundary enabling peoples to join these communities. In this paper, we use the elaboration likelihood model to explore many possible characteristics of an influencer in OSNs. Understanding of word of mouth (WoM) and related theoretical literature has been used to design and develop model. We collected data from more than seven hundred respondents to check the validity of our model. Respondent data was also used to establish the relationship among various variables identified to build the model. Our study shows bridging social capital to be the most important factor in identifying the influencer over online social networks.
  Keywords: bridging social capital; influencer; online social networks; dual process theory; elaboration likelihood model; ELM.
  DOI: 10.1504/IJBIS.2023.10056629
   
  
• Artificial Intelligence Techniques Prevalent in Manufacturing Supply Chain for Value Creation  
  by He Zhu, Syed Imran Ali, Abdul Jabbar 
  Abstract: In recent years, supply chains (SC) have been in turmoil under the pandemic, posing significant challenges to manufacturing SC. As a result, more and more academics and practitioners are advocating using artificial intelligence (AI) technologies to improve SC performance. Evidence shows that AI technologies present opportunities for SC, but the application of AI in SC is currently in its infancy. Hence, a thorough review of the topic is necessary to understand the scholarly work in this area. The study uses a systematic literature review (SLR) to extract data from Scopus, EBSCO and ABI/INFORM databases from 20122023. 72 articles were reviewed. The descriptive and thematic analysis revealed various insights into themes and AI applications. The main challenges of AI identified in the study are organisational and social issues, regulations and accountability, data privacy and security and for value creation.
  Keywords: AI; supply chain; techniques; manufacturing; systematic literature review; SLR.
  
  
• Corporate Digital Responsibility for Digital Governance: Indian Perspective  
  by I. Sridhar, SAHIL SINGH JASROTIA, Manoj K. Kamila 
  Abstract: The COVID-19 crisis has brought a paradigm shift in the attention to focus on digital platforms by the government-business-society. This major shift towards digital platform begets special responsibilities in the form of corporate digital responsibility (CDR) on the part of the government-business-society. Our study is an attempt to formalise operating model in the discharge of digital responsibilities towards various stakeholders, with the objective of enabling digital governance. Study addresses CDR as a tool for improving governance practices, when conducting transactions in digital environment through platform companies. Therefore, CDR has become a strategic requirement in the mainstream for government-business-society. The goal of digital governance can be realised by government-business-society when the technology used is simple but sophisticated, achieving synergies in their interactions and ultimately achieving scalability of operations. The study establishes a theoretical model for digital governance leading to digital transformation in the government-business-society, therefore, CDR is the way forward.
  Keywords: government-business-society; digital governance; corporate digital responsibility; CDR; platform companies.
  DOI: 10.1504/IJBIS.2023.10056643
   
  
• Sustainable Supplier Selection and Evaluation: A Text Mining Approach  
  by Mozhgan Namiranian, Anahita Hedayat Zadeh, Iman Raeesi Vanani 
  Abstract: The paper investigates Sustainable Supplier Selection (SSS), which has exploded in popularity in recent decades. This study aims to apply unsupervised k-means (KM) machine learning and text mining technologies to instantly recognise main topics in selecting sustainable suppliers. This study uses python programming language to discover research topics using topic modelling and text clustering approaches, automatically recognising topics in an exceedingly huge and unstructured assortment of documents. Articles of SCOPUS and ELSEVIER databases from 2019 to 2021 were gathered for the literature review. A word cloud visual depiction of the clusters provides information on which topics are more prevalent in supply chain. The results are compared to NMF model and are depicted in the form of silhouette plot. Findings show considerable enhancement of perplexity and coherence. Scholars and regulators in the area of SSS are likely to benefit from the findings of this study.
  Keywords: sustainability; supplier selection and evaluation; latent Dirichlet allocation; LDA; topic modelling; text clustering.
  DOI: 10.1504/IJBIS.2023.10056662
   
  
• A model to improve Recommendation Systems based on Spark platform  
  by Manal Abdel-Fattah 
  Abstract: With the popularity of using the internet, the evolution of technology, the rapid growth of data volume, applying recommendation systems in diverse life domains, adopting recommendation systems became indispensable. Most of the traditional recommendation systems are built un-oriented of real-time data challenges (such as item cold-start, scalability, heterogeneous data, items change, and users’ opinions change), resulting in ineffective, unfulfilling recommendations. Therefore, what is needed is a real time based recommendation model that can make the user find what s/he needs without even searching for it; it’s like building a model aware of the users’ nature and behaviour. This paper aims at building a recommendation model that fulfils the user requirements and overcomes the shortcomings of the traditional recommendation systems. The proposed recommendation model is built on Apache Spark, Apache Kafka and alternative least square (ALS) algorithm, and the model is divided into two parts: recommendation system and real-time analytics dashboard. E-commerce website is chosen as a case study to apply our model and the results are presented.
  Keywords: Apache Spark; Kafka; ALS algorithm; real time; big data; dashboard; recommendation systems; collaborative filtering; recommender systems.
  DOI: 10.1504/IJBIS.2022.10046763