International Journal of Business Information Systems (266 papers in press)
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.
A Framework for continuous improvement of the IT acquisition process at Brazilian federal public organisations: An action-research study
by Melquizedequi Cabral Dos Santos, Wylliams Barbosa Santos, Sandro Ronaldo Bezerra Oliveira, Alexandre Marcos Lins De Vasconcelos, Carla Silva
Abstract: Information Technology Acquisition (ITA) is essential to support activities and processes in public and private organisations. In the context of Federal Public Organizations (FPO) in Brazil, the existent norms possess limitations regarding a continuous improvement to the ITA process. The objective of this article is to develop a specific framework that offers support to the managers when they optimise the ITA process, aiming to support them in understanding, managing, and implementing continuous improvement. To reach this objective, three action-research cycles were performed, involving numerous data collections, interventions and improvements. The framework was successfully implanted at a typical public educational organisation, providing benefits such as improvement in satisfaction on the part of stakeholders; reduction in the rate of flaws, return, and rework; better adherence to the ITA process and improvement in the quality of the ITA process.
Keywords: Continuous process improvement; Information technology acquisition; Action-research; Federal public organisations.
Multi-Criteria Decision Making for Solar Panel Selection Using an Integrated Analytical Hierarchy Process and VIKOR approach: A case study
by Gnanasekaran Sasikumar, A. SIVASANGARI
Abstract: A solar panel forms an integral part of a photovoltaic (PV) system and many works are reported to reduce its material costs with better efficiency. Solar panel for PV system includes both tangible and intangible criteria which affects the selection of suitable solar panel. In this paper, a Multi- Criteria Decision Making approach that includes Analytical Hierarchy Process and VIKOR is developed for the assessment and ranking of solar panels. The AHP method is utilized to fix compromise solution with incommensurable and contradictory criteria, consisting of five potential solar panels and eight selection criteria such as PTC Power Rating, STC Power, Peak efficiency, Temperature Co-efficient, Energy Density, Weight, Quality and Service support are chosen for solar panel selection. The relative importance of all criteria is measured and the Analytic Hierarchy Process method was applied for the calculation of the weights.
Keywords: Solar Panel; Analytical Hierarchy Process; AHP; VIKOR.
Trade Facilitation Framework for E-commerce Platforms using Blockchain
by Omar Alqaryouti, Khaled Shallan
Abstract: Electronic commerce (e-commerce) platforms have revolutionized the international trading business. E-commerce trading market is rapidly expanding over time. This expansion urges exploring the e-commerce trading process to support the continuous growth of this domain. An essential component of this process is how customs administrations manage the cross-border e-commerce trade. In this paper, a blockchain-based framework is proposed. The aim of this framework is to streamline the e-commerce trading process through the use of blockchain technology. This will ease and fulfil the customs administrations duties using advance electronic data that are made available by adopting the inherited features of the blockchain technology. This framework supports the expanding e-commerce market, governs how e-commerce stakeholders transact, and establishes a trust level among these stakeholders. The proposed framework has been evaluated using the System Usability Scale (SUS). The overall SUS results show that the system is highly acceptable by all users categories.
Keywords: E-commerce; Blockchain; Customs Clearance; Customs Refund; Trade Supply Chain; Duty Drawback.
A Taxonomy for Factors Affecting Timely Completion of Information Technology Projects
by Amir Hossein Ghapanchi, Muhammad Ali Sahato
Abstract: Many IT projects suffer from delayed completion. This paper studies factors which impact timely completion of Information Technology (IT) projects. Three Australian IT Projects, i.e. MYKI Smart Card, National Broadband Network (NBN) Australia, and Health SMART Modernization Project, were studied via Qualitative Research. Subsequently, 70 factors affecting timely completion of IT projects were discovered. A taxonomy is then developed, grouping these 70 factors into 12 categories, namely, project planning, communicational pathways, people contribution, unconventional practice, contractual specification, essential evaluation and amendments, delineating execution framework, associated technicality, administrative surveillance, project risk evaluation, employee competence and project delivery assistance. The results have important implications for both researchers and practitioners.
Keywords: Project delay; IT projects; project timely completion; project time management.
Leveraging ICT Investments in Financial Institutions in Oman
by Kamla Ali Al-Busaidi, Saeed Mubarak Al-Muharrami
Abstract: Growth in information and communications technologies (ICTs) has created numerous opportunities for financial sectors worldwide, whose institutions are pivotal in developing financial markets and national as well as global economies and ensuring their economic performance. However, the financial sector continues to face challenges with adopting and using innovative ICT. Thus, the aim of this study was to assess ways to leverage and amplify the success of deploying ICT in Omans financial organisations, by using a technology-organisation-environment model incorporating end-user factors, and the Delphi method to reach a consensus among top business and ICT managers in Omans financial sector. Results indicate that technological and organisational factors have been the most critical, followed by end-user and environmental factors, in leveraging ICT in the financial sector. Accordingly, Omani policymakers should consider taking a similarly integrative perspective to successfully implement ICT in the countrys highly interconnected financial sector.
Keywords: ICT; Financial Institutions; ICT in Oman; TOE; Information and Communication Technologies; ICT Success Factors; ICT; Success Factors; Extended TOE; TOE Model.
JomDataMining: Academic Performance and Learning Behavior Dubious Relationship
by P.S. JosephNg
Abstract: This study contemplate the connection between undergraduate learning conduct and their academic performance by utilizing the instructive data mining strategy. Tinto's model and Austin's model are utilized in the study, together with emotional conduct components to define an expectation of the undergraduate academic performance. Respondent's segment data, social polls and their present cumulative grade point average outcomes was gathered utilizing a blended technique for study survey and numerous interviews. Correlational plan will be utilized to interpret the study's learning conduct and their academic performance. The selected samples of this study will be in private learning centre. Positive aftereffect of this study has delineated the connection between students behavior and practices influencing their academic performance. The outcomes from this study enabled more effective classroom planning and conflict avoiding among students.
Keywords: University; Students Academic Performance; Tintos Model; Decision Tree; Data Mining; Prediction of Students Performance; Learning Behaviour; Emotional Behaviour; Educational; CGPA.
THE IMPACT OF BUSINESS INTELLIGENCE IN CRISIS MANAGEMENT THE STRATEGIC VIGILANCE AS AN INTERMEDIARY VARIABLE IN JORDANIAN INSURANCE COMPANIES
by Abdallah M. Obeidat
Abstract: This study aimed to identify the role of strategic vigilance as an intermediary variable in the impact of business intelligence in crisis management in Jordanian insurance companies. This study used the design of quantitative research, where 275 questionnaires were collected from the observers working in Jordanian insurance companies to obtain the necessary data to test the hypotheses of the study. Path analysis was used to test the hypotheses of the study. The findings of the present study revealed that there is a significant impact of business intelligence on crisis management, as well as the impact of business intelligence on strategic vigilance, the presence of strategic vigilance in crisis management, and the impact of business intelligence on strategic vigilance with strategic vigilance as an intermediary variable.
Keywords: Business Intelligence; Strategic Vigilance; Crisis Management; Insurance companies; Jordan.
Determinants of M-Payment Adoption Behaviour in Bangladesh
by Mohammad Osman Gani, Muhammad Intisar Alam, Mohammad Rafiuddin Ahmed, Mohammad Zahedul Alam, Shahin Ahmed Chowdhury
Abstract: Modern technology facilitates mobile payment (m-payment) services throughout the world. M-payment ensures flexibility and convenience in carrying out everyday activities. The study aims to assess the intention of adopting m-payment service, as well as to find out the factors that affect consumer intention considering Dhaka, the capital city of Bangladesh. Descriptive research was developed with a valid sample of 280 respondents through snowball and judgmental sampling methods. Data were collected by an online survey using email and social media platforms. It was found that factors like- convenience, mobile payment knowledge, perceived risk, social influence had a positive and significant influence on consumer intention to adopt m-payment. On the other hand, perceived security had an insignificant influence. This study has a scope to serve as an important stimulus for developing strategies to the marketers that may accelerate the consumer intention to adopt m-payment.
Keywords: m-payment; intention; technology; snowball; judgmental sampling; social media; Bangladesh.
Australian SME Adoption of Cloud Computing. Drivers and Challenges
by Bahjat Fakieh, Peter Busch, Yvette Blount
Abstract: Adopting cloud services may increase opportunities for achieving competitive advantage and improving business outcomes; this is significant to Australian Small and Medium Enterprises (SMEs) that account for 96% of all Australian organizations. This work explored
Keywords: Australia; Challenges; Cloud computing; Drivers; SMEs; Technology Adoption.
Towards an improved acceptability assessment model of innovative solutions in the design phase
by Linda Acosta-Salgado, Auguste Rakotondranaivo, Eric BONJOUR
Abstract: The development of innovative solutions that satisfy stakeholder needs and have successful selling is one of the main challenges of design processes. To estimate this success, the assessment of acceptability or acceptance of innovations has been the subject of multiple research studies and has led to different models that mainly concern the acceptance of the new technology in the usage phase. However, with regard to evolution in design, these models do not seem to be adapted. This paper proposes to characterize existing evaluation models by a literature review, reveals unexplored characteristics of acceptability evaluation and provides guidance for future research.
Keywords: Innovation; user-centred design; evaluation; acceptability; Technology Acceptance Model.
Communication in Software Development Teams
by Joyce Aline De Oliveira Marins, Jessica Garcia, Fernanda Trentino, Christiane Nobre, Vanice Cunha, Natalina Hirata, Eunice Nunes, Cristiano Maciel
Abstract: Communication has been a widely studied factor because when performed ineffectively it leads to problems affecting the delivery of products and services to customers. In the context of software development, teams with communication problems are hampered in terms of time, cost and effort, progress of routine actions, and create team conflicts. This study investigates communication in software development teams through an extensive literature review. As a result, we obtained a set of factors classified into barriers and facilitators that affect communication in the software development process. This result is useful for developers and managers looking to improve communication as a strategy to streamline and improve the application development routine.
Keywords: Communication; development teams; human factors.
Determinants for the utilization of Blockchain technologies for Accounting in Kuwait
by Issam A.R. Moghrabi, Kameleddine Benameur
Abstract: This paper investigates the major determinants influencing accountants intentions to utilize blockchain technologies (BCT) in conducting Accounting practices in Kuwait. A variant of the Technology Acceptance Model (TAM) is used to assess the intention to use the technology. A survey based on a sample of 714 accountants and accounting faculty revealed that around 636 have the willingness to adopt BCT in a classroom context. Using hierarchical regression analysis, results reveal that unexpectedly the perceived ease of use does not have the anticipated impact on the intention to use BCT, whereas usefulness, compatibility, subjective norms and attitudes have a direct influence to the intentions to use BCT for academic activities. Findings of the study show that TAM can be customized and used in a non-conventional setting such as BCT. This study is one of the rare attempts to analyze factors influencing accountants adoption of BCT in a developing economy.
Keywords: Technology Acceptance Model (TAM);Blockchain Technologies (BCT); Accounting Information Systems; Kuwait; Regression Analysis.
DEVELOPING INFORMATION SYSTEM/TECHNOLOGY STRATEGY IN SUPPORTING BUSINESS PROCESS: A CASE STUDY OF INSURANCE STATE-OWNED ENTERPRISES
by Dwi Soelistijanto, Hotniar Siringoringo
Abstract: The main goal of this study was to develop an information system/technology strategy in supporting process business in one of a state-owned insurance company. The study was motivated by the fact that company branch offices spread out throughout Indonesia. For this purpose, The Open Group Architecture Framework (TOGAF) was deployed. Considering the nature of the study is a strategy, Ward and Peppard's model was also used. TOGAF was integrated with Ward and Peppard model to find the solution to the current problem and mapping future activities. Some suggestions to company management resulted from the research. Each year from 2020 to 2024 respectively company management should strengthen the main platform and internal capability, implement digitize service, enhancing contribution towards all stakeholders, speed up excellent performance and maintain the business growth and started to expand.
Keywords: Information system; TOGAF; strategic planning; information system architecture; business process; the insurance company.
Legislative and legal constraints on the use of electronic money: a case study on business organizations
by Zyad Thalji
Abstract: The world has become a small village, we must look at it as the whole. The outlook must be comprehensive, despite its wide geographic scope, different origins, different languages, and different religious doctrines. The world would inhabit one village. From this concept, all economic and trade laws must be consolidated and the legal gaps between all countries of the world should be consolidated and electronic commercial contracts should be consolidated. Standardize electronic payment methods, develop security controls, safeguard the integrity of business transactions, and maintain the confidentiality of data. This study aims to study the legal obstacles and security gaps that limit the use of electronic commerce in the Arab markets and proposes solutions to these obstacles, based on the phenomena of the observations and the information gathered. A questionnaire was made to study these constraints based on four groups: Availability, Confidentiality, Integrity, and Non-repudiation.
Keywords: Electronic Commerce; Legislative; Legal Constraints; Electronic money; Electronic Business.
Analysing Private Universities Websites in Egypt Using Search Engine Optimization (SEO) Tools
by Rehaballah ElBadrawy, Hend Abd El Halim
Abstract: Today, the interest in private universities in Egypt and the competition among them is increasing due to the ever-largest youth population that cannot be fulfilled by the Egyptian public universities. This led many students to enrol in private universities to pursue their university education. Retrieving information about universities, faculties, departments, admission requirements, and tuition fees is vital for both parents and students. One of the frequently used methods that enable web sites to be reached faster is Search Engine Optimization (SEO). The objective of this research is to investigate the SEO level analysis of 19 private universities websites in Egypt using four SEO Automated tools. Then, average score of SEO tools is taken to give the final ranking to universities websites. The final rank was compared with global and Egyptian rank of websites using Alexa and SimilarWeb tools. Websites traffic sources were examined.
Keywords: Search Engine Optimization (SEO); Websites SEO Tools; Website Source Traffic; Website evaluation; Private Universities; Higher Education (HE); Egypt.
Spreadsheets: Risk from the Shadow
by Stojanka Daki?, Lazar Rakovi?, Marton Sakal, Jovica ?urkovi?
Abstract: The aim of the paper was to look into the degree of awareness among end users of the existence of spreadsheet risks A systematic overview of literature resulted in identifying research questions, to which answers were given by analysing data gathered by means of a field survey The research included 161 respondents from Serbia, Macedonia, Montenegro, Bosnia and Herzegovina, Croatia and Slovenia Despite the opinion that spreadsheets are very important for performing their tasks to a significant extent, the respondents think that their use is not combined to a significant extent with risks such as errors, credibility, security, data abuse, poor analysis that may result in making wrong decisions, lack of version control, inadequate qualifications of users, lack of spreadsheet development guidelines, loss of data, breach of legal regulations, and unauthorised access to data.
Keywords: spreadsheet; risk; shadow IT.
Identifying and assessing barriers to information sharing in supply chain
by Farhad Panahifar, Sajjad Shokohyar, Sina Mosafer
Abstract: This paper tries to assess and identify information sharing barriers in supply chains, in particular, automotive sector in Iran. After literature review, the barriers to information sharing were identified and then, using experts opinion and the analytic hierarchy process (AHP) technique, the identified barriers were ranked to determine and choose the significant barriers to information sharing. Next, a framework was proposed using interpretative structural modelling (ISM) to investigate the relationship between the important barriers. Finally, the results were presented in a final model. This study has significant practical implications for organisations as it identifies the main information sharing barriers and their causal relationships. This will help firms in the process of collaboration through information sharing particularly for mitigation strategies for dominant barriers. The present study makes an empirical contribution to the body of knowledge by investigating an integrated framework focusing on information sharing barriers and its impact on firms performance.
Keywords: Supply chain management; Information sharing; Barriers; Automotive industry; Iran.
DYNAMIC PARAMETERS AND ALGORITHM IN PREDICTING BANK TELEMARKETING SUCCESS
by Genesis Sembiring Depari, Theera Prompreing, Kattareeya Prompreing, Jen-peng Huang
Abstract: In order to keep competing in a competitive market, it is important to have an accurate prediction of customers who most likely to buy products or services. Data mining method is one of the useful techniques that experts use to deal with this problem. However, there are a bunch of algorithms that can be employed. The question of which algorithm should be used still a hot issue today. This research aims to find the best machine learning algorithm in predicting telemarketing success, especially for targeting potential customers. We examined eight machine learning algorithms such, deep neural network (deep learning), Naive Bayes, generalised linear model, logistic regression, decision tree, random forest, support vector machine, and gradient boosted tree along with adaptive parameters to each of those 8 algorithms. The results show that, gradient boosted trees outperform the other seven algorithms which achieve 91.3% accuracy.
Keywords: Bank Telemarketing; Machine Learning Algorithm; Random Forest; Gradient Boosted Tree.
Business Analytics Adoption in Firms
by Amit Kumar, Bala Krishnamoorthy, Christine Dlima, Divakar B. Kamath
Abstract: Business analytics leads to reliable and quicker decision making in organisations. However, few organisations can derive significant strategic value from the adoption of business analytics. Business analytics adoption is a complex organisational activity that is influenced by many factors. Therefore, the research on business analytics is of significant relevance to the industry and academic work. Many researchers have studied the adoption of business analytics in organisations using different theoretical perspectives. An analysis of the theoretical models can help in understanding the key themes for business analytics adoption and assist in future research towards extension or integration of theoretical models. Towards this end, scrutiny of research papers for business analytics adoption grounded on the theoretical perspectives of the Resource Based View (RBV), Dynamic Capabilities, and Technology-Organisational-Environmental (TOE) framework is attempted. The key themes emerging from these theoretical perspectives and the significant factors influencing analytics adoption are discussed in this conceptual paper.
Keywords: business analytics; TOE Framework; resource based view; dynamic capabilities; technology adoption.
An insight of Facebook usage by Pakistan-based organizations: An application of netnography approach
by Ashir Ahmed
Abstract: The power of social media to engage with people and generate business value for organizations is indisputable. Although, the existing literature draws some interesting findings on the use of Facebook by Small and Medium, Enterprises (SMEs), there is dearth of literature on the validation of such findings using Facebook metadata. This research aims to examine various aspects of Facebook campaigns of SMEs and their effectiveness in terms of engaging with the customers. The findings of this paper are scaffold into two parts. First, it performed qualitative data analysis to understand the types of posts uploaded by the SMEs. Second, it examined the Facebook metadata to understand the types of responses, their popularity and the correlation among several types of responses. It is anticipated that the findings of this paper would help SMEs to better understand their Facebook campaigns and to better manage their Facebook campaigns in future.
Keywords: Netnography; social media; Facebook; SMEs.
Factors to measure the cloud service quality: a review
by Sanjay Dhingra, Rajesh Agarwal
Abstract: The world is changing at a very rapid pace and drastic scale In today?s digital world, businesses are adopting new technologies and going digital in order to survive, keep the business relevant, compete with the world and shape the future Organizations across all domains are transforming their enterprise data centre to the cloud Cloud offers several advantages to the organizations such as low maintenance, 24X7 uptime and access from any part of the world Cloud service providers claim high performance, high availability, and elastic scalability Cloud computing is still evolving and full of challenges hence it is important to measure the quality of the services provided by different cloud service providers In this paper an attempt is made to find the dimensions of cloud service quality The keys dimensions to measure the cloud service quality have been identified after extensive literature reviews and exploratory interview with cloud business connoisseurs.
Keywords: cloud computing (CC); data centre (DC); transformation; service quality (SQ); quality of service (QoS); infrastructure as a service (IaaS); platform as a service (PaaS); software as a service (SaaS).
TRANSFORMING SAVINGS AND CREDIT COOPERATIVES SOCIETIES IN KENYA USING MOBILE TECHNOLOGY SERVICES
by DAVID MUGO
Abstract: This paper investigated the effect of mobile technologies services on performance of Deposit-Taking Savings and Credit Cooperative Societies (SACCOs) in Kenya. The study was guided by three objectives namely: to determine the effect of mobile banking, internet banking and mobile communication services on performance of Deposit-Taking SACCOs in Kenya. The study adopted positivism philosophy and was based on combination of both descriptive and explanatory research designs. The study used a sample of 86 Deposit-Taking SACCOs drawn from a target population of 110 Deposit-Taking SACCOs that were licensed as at 31st December 2011. Inferential analysis based on multiple linear regression model revealed the existence of statistically significant positive effect of mobile banking, internet banking and mobile communication services on performance of Deposit-Taking SACCOs in Kenya. The study therefore recommends investments and increased utilization of these mobile technology services to enhance both financial and non-financial performance of the SACCO sector.
Keywords: Mobile technology services; mobile banking; internet banking; mobile communication; mobile devices; SACCOs.
HUMAN SIDE OF CYBER SECURITY: AN EMPIRICAL STUDY
by Rajesh Kumar Upadhyay, Anurag Singh, Brij Mohan Singh
Abstract: The purpose of this study to explore the relationship between the human behaviour and their cybersecurity awareness. The research was conducted to collect the response through questionnaire by the professional, students and non-professional at Uttarakhand region, studying and working in educational sector. With this result, we can be implicit that continual efforts especially in personality and human traits to get better information security awareness. This study contributes to personality traits and their impact on cybersecurity. The study suggests the managerial as well as theoretical implications on the basis of the findings.
Keywords: Cyber Security; Personality; Human Behavior.
MACHINE LEARNING COMBATING DOS AND DDOS ATTACKS
by Shweta Paliwal, Vishal Bharti, Amit Kumar Mishra
Abstract: Today the technology is booming at a breakneck speed as so the need of security. Vulnerabilities in the layers of the OSI model and the networks are paving new ways to intruders and hackers to steal the confidential information. Security attacks denial of service (DOS) and distributed denial of service (DDOS) are occurring at a high pace with the help of internet of things as several devices are connected together unprotected in nature and are not monitored for a longer duration. Intruders are initiating more and more complex forms of attacks in order to bypass the known security measures. Application layer is most prone to the DOS and DDOS attack and intruders targets high profile organisations for launching the attacks. Hypertext transfer protocol (HTTP) is the protocol which is vulnerable to the security attacks launched by the intruders as high volume of HTTP traffic is handled by the data centres, thus creating a perfect room for launch of DOS and DDOS attack. This paper presents a review of machine learning algorithms that have been developed for the detection and prevention against DOS and DDOS attacks.
Keywords: DOS; DDOS; Machine Learning; HTTP.
Selection of Goals with Incomplete Linguistic Preference Relations
by Mohd Sadiq
Abstract: In goal oriented requirements elicitation process (GOREP), the requirements of the stakeholders are refined and decomposed using AND/OR graph. Goal is a high level objective of a company which is refined and decomposed into sub-goals. After refinement and decomposition, a system may have several goals and it is not possible to implement all goals because of the time, budget, and other constraints of an organisation. It is a primarily research issue that how to select those goals that would be designed, implemented and tested during different phases of the software development process. On the basis of our review, we found that there is no support for the selection of goals in GOREP when preference relations are incomplete and the preferences of the decision makers are represented by linguistic variables. Therefore, to address this research issue, we present a method for goal selection when linguistic preference relations are incomplete. Proposed method was applied to select the goals of the institute examination system.
Keywords: software goal selection; decision making process; institute examination system; incomplete linguistic preference relations.
Environmental and Organisational Factors Affecting the Adoption of Enterprise Resource Planning Systems in the Jordanian Banking Sector
by Mohammad Bany Baker, Zaid Jaradat, Mohannad Al Shbail
Abstract: In this paper, a framework is proposed to determine the major factors affecting the adoption of Enterprise Resource Planning (ERP) system in the banking sector. The proposed framework is developed based on the technology organisation environment (TOE) theory. The study sample, comprising of managers and head of departments, numbering 150, were distributed questionnaire copies in 13 banks using the ERP system. According to the findings, top management support, organisation culture, policies and competitive pressure are the factors that significantly influenced the ERP system adoption among the examined banks. The findings also showed that the adoption of ERP improves the performance of banks. In addition, organisation culture, policies and competitive pressure factors improve the performance of banks through their influence on ERP system adoption. The framework is expected to serve as guidance to banks in the promotion and facilitation of the top factors that need addressing for the ERP system adoption.
Keywords: enterprise resource planning; ERP; organisational factors; environmental factors; banking sector.
The Role of Using Big Data in Predicting Customer Behavior: The Intermediary Role of Business Intelligence in Jordanian Telecommunications Companies (A Field Study).
by Amineh Khaddam, Raed Khrisat, Mohammed Abusweilem
Abstract: The aim of study is to investigate the role of big data in predicting customer behaviour and the intermediate role of business intelligence in the Jordanian telecom companies. In order to achieve the objectives of this study, the questionnaire was developed to collect data in a random stratified manner on a sample of (168) employees working in the senior and middle management of the heads of departments in the Jordanian telecommunication companies (Zain, Orange&Umniah). The study hypotheses were selected using descriptive and analytical statistical methods using (Amos) programs. The study found that there is an indirect effect of the big data dimensions combined in predicting the behaviour of the customer with the presence of business intelligence as an intermediate variable for the Jordanian telecom companies.
Keywords: Big Data; Customer Behavior; Business Intelligence; Jordanian Telecommunications.
An Assessment of the Factors Influencing Adoption of E-Filing System in Nigeria
by Aidi Ahmi, Wasiu Adebayo Lamidi, Ram Al Jaffri Saad, Johnson Kolawole Olowookere
Abstract: Electronic tax filing (or e-filing) is a system for taxpayers to file their taxes via an electronic system directly to the tax authority. The main objective of this study was to investigate the determinants of the intention of taxpayers to adopt e-filing system in Nigeria. Based on the technology acceptance model (TAM) and technology readiness index (TRI) theory, 175 self-employed taxpayers in the Lagos State of Nigeria have been responded to the survey conducted. This study found that technology readiness (TR), perceived usefulness (PU) and perceived ease of use (PEOU) have positive relationships with the intention to adopt the e-filing system. However, the result indicates that only PEOU is a statistically significant factor influencing the intention of taxpayers to adopt the e-filing system. The study recommends that the government should focus on ensuring the e-filing system is more user-friendly and easier to use for the taxpayers.
Keywords: e-filing; e-tax; technology adoption; perceived usefulness; perceived ease of use; Nigeria.
Developing a Scale to Assess Analytical Competencies of HR Professionals
by Sripathi Kalvakolanu
Abstract: HR professionals play a significant role in keeping the organisation ready to face competition. Specifically, HR professionals are to update, upgrade and acquire the new competencies that are essential to keep the prominence of the HR function within the organisation and take the organisation ahead of the competitors. To take HR analytics forward and implement HR analytics successfully, analytical skills are a must-have. Role and importance of analytical competencies among HR professionals are examined in the present study. Research on HR professionals competencies is reviewed to understand the research gaps in identifying and measuring analytical competencies. The study attempted to develop a set of sub-competencies to measure the analytical competencies of HR professionals. The results from the study add another vital dimension to the assessment of the competencies of HR professionals. Further, the findings help in measuring analytical competencies towards HR analytics in particular and analytics in general.
Keywords: HR Analytics; HR Professionals; HR Competencies; Analytical Competencies Scale.
Financing the Development of Human Capital and the Efficiency of the Economy of Kazakhstan: Analysis of the Relationship
by Talgat Kussaiynov, Gulnara Mussina, Zhanna Bulkhairova, Gaukhar Saimagambetova
Abstract: Analysis of the impact of human capital on the efficiency of the economy of Kazakhstan has been based on regression models with use of statistical data on the volume of investments in professional education and training, healthcare, and GDP per capita in the period from 2005 to 2017. In current conditions of Kazakhstan, it is found that investments in healthcare have the most significant link with the efficiency of the national economy. It seems that investments in the development of secondary professional education are relatively more effective when compared to investments in higher education. Spending in higher education does not yet have a significant impact on the change of GDP. This fact indicates that the economy of Kazakhstan has not yet adopted an innovative character. It is necessary to focus on the training of qualified professional personnel at the lower and middle levels, especially on technical specialties.
Keywords: efficiency of economy; expenses on healthcare; expenses on professional education; gross domestic product; human capital; regression model.
Impact of Internet of Things on Business Policy: The Mediating Role of Marketing Intelligence Capability
by Ansar Abbass, Khalid Mehmood
Abstract: Innovative developments in internet of things (IoT) have invoked wonderful interest of researchers and as well as for practitioners. Studies suggest that IoT do not merely serves as an innovative tool for enterprise operations but also triggers impacts on business performance. As researchers increasingly raise interests about the business value of IoT, this study examines its direct and indirect managerial effect by investigating the link between IoT and business policy. Referring to the organisational capability perspective, the current research constructed the framework where the marketing intelligence competence mediates the impact of IoT capability on business policy formation. The data analysis was conducted to examine the hypotheses and an empirical survey was performed. The outcomes of study confirmed that mediating role of marketing intelligence capability in the link between IoT capability and business policy formation. Discussions with managerial implications are then elaborated.
Keywords: internet of things; IoT; marketing intelligence; business policy; organisational capability.
Big Data and Big Risk: A Four-Factor Framework for Big Data Security and Privacy
by Yanjun Zuo
Abstract: Big data refers to a very large volume of data with possibly varied and complex structure. With growing data processing and data analytic techniques, big data provides significant benefits to organisations and individuals by improving productivity and enriching peoples life. However, security and privacy are big concerns for big data applications. While a large quantity of data is collected, securely storing, processing and using the data are challenging. In this paper, we propose a four-factor framework for big data security and privacy in business information systems. The proposed framework addresses big data security and privacy issues in terms of collecting the right data, collecting the right amount of data, protecting the data in the right way, and using the data for the right purposes. We present a set of approaches and models for each of the four factors to improve big data security and privacy.
Keywords: big data; security; privacy; model.
The Level of IT-Business Strategic Alignment and Its Impact on Achieving a Sustainable Competitive Advantage as Mediated by The Net Benefits of Information Systems
by Raid Al-adaileh, Hebah Al-Jaafreh, Ali Aljaafreh
Abstract: This study aims to identify the direct impact of IT-business strategic alignment on achieving a sustainable competitive advantages within the context of Jordanian mining sector (JMS). In addition, it aims to investigate the impact of IT-business strategic alignment on achieving a competitive advantage in the case of involving net benefits of information systems as a mediator variable. The study uses a descriptive-analytical approach to collect data via an online survey. Analysis of data was made using SPSS and AMOS software packages (version 26). The study sample includes 462 employees from the JMS companies. Results confirm the high level of IT-business strategic alignment in JMS. In addition, results show a significant impact of IT-business strategic alignment on achieving a sustainable competitive advantage and a partial effect of the net benefits of information systems on the correlation between IT-business strategic alignment and achieving a sustainable competitive advantage.
Keywords: IT-business strategic alignment; sustainable competitive advantages; information systems; IT strategy; business strategy.
Promoting and Reporting with the Wmotion MPOS Application: A Case Study on a Fashion Industry
by Dhimas Prajaya, Hotniar Siringoringo
Abstract: This article presents the challenges facing in developing the Wmotion MPOS (W-MPOS) application, the methodology and methods, the design and implementation of the system, and the design, outcomes, and implications of a user trial undertaken to answer a fashion company's needs. A company that produces and sell fashion product has few requirements such as effective and efficient operational system, accurate and faster data display to accommodate the decision-making process, and enhancing business result. The application was built using the Java programming language and the database using SQLite. The development process was performed using the Rapid Application Development (RAD) method. The study resulted that the W-MPOS application with the specified features run smoothly and could handle applicable marketing strategies. The RAD was suitable and powerful in developing the application. Moreover, descriptive results from the user acceptance test verify that the W-MPOS application was accepted by the respondents.
Keywords: Android; Retail; Promotion; RAD; fashion; retail; Wmotion MPOS; Infor M3; SunFishHR; ERP system.
Role of E-Voting System for Void of Errors in The Electoral Manipulations: A Case Study of Nigeria
by Habib Ullah Khan, Alimi Ademola Christopher Christopher, Mohammad Kamel Alomari
Abstract: The study of the political and social developments in Nigeria since its independence could not prove that stability is established in the country. Researchers proclaim many reasons for this condition. One of such conditions is the inefficient management of elections. Having understood the significance of the fraud-free election system in deciding the fate of the country, the present research aims to design and develop an electoral system that is free from errors and electoral manipulations right from the registration phase all through the entire voting cycle. A group of 600 Nigerian university students is selected at random for the study, and a prototype is designed for the e-voting system. Using the prototype, various scenarios are developed and tested with statistical support. In addition to the scenarios, feedback is obtained using the questionnaire. Five important constructs like security, transparency, election history, infrastructure, and legal framework. Support of software and hardware, prototype
Keywords: E-voting; Independent National Electoral Commission of Nigeria; Elections; First Past the Post; Block Vote; Party Block Vote.
Factors influencing adoption of cloud computing services in HEIs: A UTAUT approach based on students perception
by Yatish Joshi, Gaurav Kabra, Vinit Ghosh
Abstract: The use of cloud computing services in higher education institutions (HEIs) is gaining momentum. From a stakeholder analysis perspective, this study aims to advance the understanding of students intentions to adopt cloud technologies. By extending the unified theory of acceptance and use of technology (UTAUT) framework, we have tried to investigate the interplay and influence of students cognitive factors in explaining their perception towards cloud adoption. The data sample consisted of 190 undergraduate students from Indian educational institutes. The findings revealed that social influence, performance expectancy and facilitating conditions are positively related to the attitude towards cloud adoption. Moreover, the positive effect of facilitating conditions on students attitude is mediated by perceived trust. It was also found that performance expectancy of cloud-enabled learning mediates the effects of social influence on students attitude towards the latest technology. The present study has profound implications on HEIs change management plans and can design ways for the seamless integration of learning functions using cloud technologies.
Keywords: cloud computing; higher education; technology; UTAUT; empirical research.
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.
FinTech Up-coming in Saudi Arabia: Study, analysis and recommendations
by Ahmed Jedidi
Abstract: Fintech is the new coming as IT solution for the financial sector which it uses artificial intelligence, machine learning, security, etc. Moreover, different governments encourage the implementation of Fintech to improve their economics in the future. However, the crisis of the oil sector busts the GCC governments to change the types of there economic sectors to be more varied. Fintech is one of the major players in new GCC economics. Therefore, Fintech is one of the promote solutions that lines with the vision 2030 in Saudi Arabia. In this fact, this paper proposes a study of the Fintech implementation in Saudi Arabia which it analyses the different metrics involve in the process of implementation. Precisely, it focuses on three levels of implementation: Fintech initiative, Fintech regulation and Fintech in society. Finally, the paper presents a strategy recommendation to improve the implementation of Fintech in Saudi Arabia.
Keywords: fintech; GCC countries; Saudi Arabia; ecosystem; fintech regulation.
Accounting Information System adoption in multi-site organizations
by Maria Do Ceu Alves, Edelmira Trigueiros
Abstract: This study used institutional theory as a lens to understand how far institutional factors affect Accounting Information Systems (AIS) adoption and use in multi-site companies. We take a qualitative case study approach to analyse the extent to which the fact of being part of a corporate group, affected a subsidiary regarding the implementation of an AIS more suitable to its particular needs of information. We also analyse how the situation is perceived by the AIS users, in an ERP environment. Data were collected through observations, interviews and documents analysis. The results indicate that the majority of daily basis tasks depend on AIS, integrated in an ERP system, to function. And, the fact that it is the Headquarters that chooses AIS/ERP to be used does not have a negative impact on the subsidiary company because key factors were considered when selecting and implementing the system.
Keywords: accounting information system; enterprise resource planning system; institutional theory; isomorphism; multi-site organization; subsidiary.
ERP Implementation Model, Findings and its Applications to Organizations: An Exploratory Case Analysis
by Girish H. Subramanian
Abstract: An ERP implementation model is developed with the help of a review of relevant literature and is supported by research. This implementation model has four phases
Keywords: Enterprise Resource Planning (ERP) systems; Enterprise applications; Technology Adoption; Systems Implementation; Systems Development Lifecycle.
CONSUMER'S PERCEPTION OF DIGITAL TRANSACTIONS IN INDIA: SENTIMENT ANALYSIS USING R
by Chandrakumar Thangavel, Parthasarathy Sudhaman, S. Sridevi, Ramya Thangavel
Abstract: Nowadays, Internet based banking has become an attractive channel for digital transactions. Sentiment analysis is the similar technology used to detect the sentiments of the customers. Sentiment analysis is considered to be a category of machine learning and natural language processing.This study focuses on exploring the usage of digital transactions by Indian customers using sentiment analysis carried out using R. In this study, data sets obtained from Twitter have been used and it is found that there is a steep increase in the usage of digital transactions by Indian customers, especially after demonetization of INR 500 and INR1000 currency notes in the recent past.
Keywords: Sentiment analysis; Digital transactions; Mobile banking; Twitter.
Journey to SAP S/4HANA Intelligent Enterprise: In there a risk in transitions?
by Victor Chang, Praveen Arunachalam, Qianwen Xu, Charalampos Psarros, Perk Lin Chong, Jie Li
Abstract: This paper aims to evaluate the transition from conventional SAP to a business solution called S/4HANA, and understand the attached risks and challenges. The study starts with an introduction of the SAP ERP system and S/4HANA. Then, the implementation methodologies for the transition are analysed. The research object is an organisation transitioned to S/4HANA recently. Lastly, the business offerings of S4HANA would be discussed that make life easier on implementation. This research employs a mixed method. Statistical analysis is employed to analyse the data collected from questionnaires and assess the awareness and experience during the transition to S/4HANA. In addition, a qualitative approach based on interviews is used to identify the risks and challenges of the transition. The research finds that although a transition is not as smooth as thought by many organisations as just a migration, it is a need for organisations in this highly completive digital economy.
Keywords: SAP ERP system; S/4HANA; transition strategy; Brownfield implementation; intelligent enterprise.
A prototype workflow MIS for supply chain management: architecture, implementation and business evaluation
by Konstantinos Giannakos, John Achlioptas, Christos Douligeris, Sarandis Mitropoulos
Abstract: The continuous evolution of the informatics and networking areas is fuelling the business environment to take advantage of a wide set of new technologies and tools. This paper highlights the business needs on supply chain networks and how Information Technology (IT) solutions can support them. After providing a state-of-the-art approach to the development of an effective and modern business management system, it introduces a prototype web-based application by providing its analysis and design, as well as its implementation details using various modern software architectural patterns such as the Model-View-Controller (MVC), the Service-Oriented Architecture (SOA) and the Web Services (WS). The abilities and usability of the proposed solution are presented through an operational demonstration. Finally, based on the balanced scorecard methodology, a system evaluation is performed that depicts the high applicability and significance of the proposed system.
Keywords: management information system; business management system; ERP; workflow management; SOA; WS; MVC; balanced scorecard; BSC; simulation; evaluation.
The Determinants of ERP User Satisfaction and its Effect on Organizational Performance.
by Fadi Qutaishat, Samera Qaily, 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.
The Effect of Technology Readiness on Technology Acceptance in the Electronic Human Resources Management Field
by Javad Shahreki, Audrey Lim Li Chin, Hasmida Jamaluddin, Abdollah Shahraki, Thanh Thuy Nguyen, Ali Afzalian Mand
Abstract: This study attempted to determine the influence of technology readiness on technology acceptance in the electronic human resources management (e-HRM) field. A sample of 167 HRs from Fortune Global 500 companies in Malaysia were selected for the study. The research model of this study was developed using two theories namely, the technology acceptance model created by Davis and the technology readiness index created by Parasuraman. The findings of the current study revealed that, four categories of technology readiness namely, innovativeness, optimism, insecurity and discomfort dimensions, have a significant effect on e-HRM apparent ease of
use as well as apparent usefulness.
Keywords: technology readiness index; TRI; electronic human resources management; e-HRM; technology acceptance model; TAM.
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.
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.
Discovering the dimensions of E-learning with the role of social networks
by Kamyar Esmaeili Nasrabadi, Azar Kaffashpoor
Abstract: The aim of this study is discovering and explaining the dimensions of e-learning with the role of social networks in the customs of Iran. The research population of this study consists of 20 experts (experts and customs directors and faculty members). Result shows that attraction and multi-user use and its high use for cybercafe. Learning by mobile is one of the fastest growing technologies of cyberspace technology across the globe. In itself, the mismatch in technology growth rates and the use of technology in learning is a topic that researchers are keen on. Nevertheless, research in this field has focused on identifying successful factors from the perspective of learners and also has a great influence on promoting the use of this method among learners. More training courses for personnel should be conducted to use learning tools by cyberspace and the necessary rules and regulations for learning tools.
Keywords: Elements Affecting Learning by Cyberspace; Customs; Khorasan Razavi Province.
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.
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 organizations satisfaction with the ERP.
Keywords: ERP; ERP implementation; organizational politics; political skills; social influence theory; case study.
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.
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.
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.
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 didnt find the moderating role.
Keywords: E-Service Quality; E-Satisfaction; Customer Loyalty; Perceived Switching Costs; Mediation Moderation.
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).
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.
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.
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.
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.
Impact of Social Media Marketing on Consumer Consciousness and Purchase of Durable Products
by Binod Rajak, Sumanjeet Singh, Minakshi Paliwal
Abstract: Social media marketing (SMM) has brought significant change in the marketing of the product and strengthens the marketing communication process. The Present investigation is taken up to study the impact of SMM on Consumer Value consciousness (CVC) and Purchase of Durable Products (PDP) and mediating role of CVC in the relationship of social media marketing and the PDPs. The empirical research was carried out with a structured questionnaire of 617 samples collected and analyzed with the help of Structure equation modeling and mediation model is tested. The results show that SMM has a significant association with PDPs and CVC and CVC mediate the relationship between SMM and PDPs. The findings provide useful insight to both marketers and academicians in planning for their SMM and its future implication.
Keywords: Social Media Marketing Consumer Consciousness Value Consciousness Purchase Durable product mediation Social Media Structural equation modelling Scale development.
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.
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.
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.
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.
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.
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.
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.
Comparing Cyber Physical Systems (CPS) with RFID Applications: Common attacks and Countermeasure challenges
by Sami MINIAOUI, Suadad Muammar, Claude Lubamba, Claude Fachkha
Abstract: The RFID technology is widely used in industrial control systems (ICS) and cyber physical systems (CPS). However, the design of the current RFID protocol is optimal in performance but with less effort invested into security. As such, RIFD infrastructure could be vulnerable against cyber threats. In this paper, we present a positioning of RFID security attacks with CPS attacks. We identified similarities and differences of both type of threats that can serve as baseline to establish an IoT security framework. Additionally, we discuss RFID security countermeasures that we extracted from the literature then we compare it with existing CPS countermeasures. Three security threats categories were identified namely, physical attacks, interception attacks and blocking attacks. Overall, the research avail that attacks are similar for both CPS and RFID systems apart from social engineering attacks that are specific to CPS. However, addressing those attacks requires additional measures due to RFID specificity.
Keywords: radio frequency identification; RFID; cyber physical system; CPS; industrial control system; ICS; OT security; security countermeasures.
How can topic-modeling of user-reviews reshape market surveys? Exploring factors influencing usage intention of e-learning services through a novel multi-method approach
by ARGHYA RAY, Pradip Kumar Bala, Rashmi Jain
Abstract: Online user-generated-content is not only a critical performance parameter for service-providers but also serve as a vital information source for prospective customers. For understanding the factors influencing the adoption or continuance of an e-service, traditional approaches required a qualitative or quantitative-based analysis. In this study, we propose a novel approach to generate and analyse path model in real-time by combining the qualitative, quantitative and natural language processing (NLP)-based approaches. We undertook an emic approach using semi-structured interview schedule (ten participants) and an etic approach using topic modelling on extant literature (3,570 articles) for exploring factors influencing motives behind use of e-learning services. We tested the path-model using traditional quantitative-based (542 respondents) and the proposed NLP-based approaches (3,227 online reviews) through structural equation modelling (SEM). Results of this study revealed content gratification as the most important predictor of usage intention. This study concludes with the implications, limitations and future research directions.
Keywords: e-learning; consumer perspectives; latent Dirichlet allocation; LDA; multi-method approach; NLP-based approach; path analysis; qualitative analysis; quantitative analysis; sentiment analysis.
FruitBlock: A Layered Approach to Implement Blockchain based Traceability System for Agri Supply Chain
by Vikram Bali, Tejaswi Khanna, Parma Nand
Abstract: Traceability in the agriculture supply chain is required to improve firms credibility and the quality of food, fruits and related products. From its growing to reaching the hands of the end consumer, fruit passes through several processes and value additions in the supply chain whose integration is critical. In this paper, researchers present FruitBlock, a blockchain based traceability application for fruits. An architecture design of traceability is presented with a view of those multi-party transactions needed for traceability systems for fruit farming in the Indian context. The grower instantiates the fruit in the ledger as a fruit asset containing information regarding the current owner and the ownership transfers that happen in the supply chain are stored immutably onto the ledger on a real-time basis which can trace the fruit through the supply chain. Using the application, the researchers have traced apples travelling from grower to consumer.
Keywords: blockchain; smart contracts; hyperledger; horticulture; traceability.
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.
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.
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 enterprises 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.
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 travellers 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.
Hedonic vs. Utilitarian Value: Influencing on Social Networking Sites (SNSs) Adoption of Institutional Investors
by Md Ziaul Haque, Aimin Qian
Abstract: In recent years, social networking sites (SNSs) have been evolved as revolutionary internet-based technology in every aspect of human life. This study attempted to uncover the utilitarian and hedonic value of SNSs among the institutional investors in Bangladesh. By using structured questionnaires, data were collected from the institutional investors. A widely used statistical technique namely structural equation modelling (SEM) was used for data analysis. It revealed that hedonic and utilitarian values are significant determinants to adopt the social networking sites (SNSs) among the institutional investors. Interestingly, it found that hedonic value has significant sway on utilitarian value on adoption of SNSs. Most remarkable finding is that utilitarian value is more robust predictor than hedonic value on adoption of SNSs among institutional investors. Finally, intention generated from hedonic and utilitarian value to adopt SNSs significantly proceeds to actual adoption of SNSs. This study will carry significant implications for policy makers of capital market and SNSs service providers. It will extensively contribute to literature by exploring new concepts.
Keywords: hedonic; utilitarian; institutional; investors; SNSs; adoption.
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 systems 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 systems evaluation.
Keywords: recommender systems; timeline evaluation; user feedback; evaluation metrics.
Classification of Review Information based on Tourists 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 tourists 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.
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.
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 Vietnams 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.
ORGANIZATIONAL ENABLERS OF ADVANCED ANALYTICS ADOPTION FOR SUPPLY CHAIN FLEXIBILITY AND AGILITY
by Gunjan Sood, Rajesh Jain
Abstract: Flexible and agile supply chains (SCs) add value by facilitating cost optimisation. Exceptional opportunities are being offered by smartening the SCs. The key is to further enhance the intelligence and intellect of the SCs by using analytics. Use of advanced analytics warrants proficient SC management that primes SC performance and helps to attain competitive advantage. It is worth to note that while this topic, in general, has attracted attention; there is a dearth of related work especially in the context of emerging markets. Many questions are yet unanswered and many aspects also remain unexplored, such as, what are the enablers for the adoption of advanced analytics in SC and the effects of the implementation of advanced analytics on SC performance indicators like flexibility and agility. Through this research work, with the help of detailed and structured literature review; prudent and viable organisational enablers for the adoption of advanced analytics in SC have been proposed. This research work other than adding to the existing knowledge base is intended to aid in acquiring a comprehensive understanding of the topic by the policy and decision makers.
Keywords: advanced analytics; supply chain performance; flexibility; agility; organisational enablers.
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.
Assessment of income group based on features causing Decision Paralysis
by Debadrita Panda, Debashis Das Chakladar, Tanmoy Dasgupta
Abstract: According to Barry Schwartz, a psychology professor, people do not make decisions based on whats the most important, but based on whats the easiest to evaluate. This directly opposes the thought of providing too many choices to consumers, which has been treated as a very common process to win the minds of consumers. But it has a side effect of making consumers confused. Searching for information, best deal has become an obligation rather than opinion which in the long run results in stress, sub-optimal decisions (Mitchell and Papavassiliou, 1999). This is the scenario where decision paralysis originated. This current study aims to find the factors restricting the decision-making process of consumers while purchasing consumer durable as well as luxury items. Along with feature extraction, classification using random forest has been performed with 98.20% accuracy. This study provides a guideline for marketers to categorise consumers into higher or lower income groups based on decision paralysis features.
Keywords: decision paralysis; consumer decision making; feature extraction; classification.
The Influence of Digital Payment Systems on the Jordan Payment Selection: An Extension of the Classic UTAUT2 Model.
by Manaf Al-Okaily, Hamza Alqudah, Ahmad Alshira'h, Abdalwali Lutfi, Aws Al-Okaily, Adi Alsyouf
Abstract: Even though the growth of mobile phone use in payment transactions, the number of users that adopt mobile payment system in Jordan is still sluggish. The aim of this study was to examine the determinants likely to influence the intention of using digital payment systems as Jordan Mobile Payment (JoMoPay) system among public sector employees in Jordan. The conceptual model proposed was based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), with one of Hofstedes cross-cultural dimension scales (uncertainty avoidance) in the hope of providing a further understanding of the JoMoPay system acceptance in Jordan. A Partial Least Squares-Structural Equation Modelling (PLS-SEM) approach was selected to analyze the data collected by surveying 270 respondents from public sector employees in Jordan. The empirical results mainly showed that behavioural intention to use JoMoPay system is significantly and positively influenced by social influence, uncertainty avoidance, performance expectancy, price value and effort expectancy respectively, and hence the hypotheses were supported. Finally, the last section presented the main implications in addition to limitations and future directions of the research, thus completes the whole paper.
Keywords: uncertainty avoidance; digital payment; PLS-SEM; UTAUT2 model; acceptance; Jordan.
An Empirical Investigation on Acceptance of Mobile Payment System Services in Jordan: Extending UTAUT2 Model with Security and Privacy.
by Manaf Al-Okaily, Mohd Shaari Abd Rahman, Emad Abu-Shanab, Ra'ed Masa'deh
Abstract: Several developed and developing countries have launched a mobile payment system service, which is known in Jordan as Jordan Mobile Payment (JoMoPay) system to overcome the drawbacks of traditional payment system. The system supports payment transactions by utilising mobile phones applications. However, the acceptance of JoMoPay system in Jordan is still below the level of expectation. This study was undertaken to understand and explain the acceptance of JoMoPay system based on extending the Unified Theory of Acceptance and Use of Technology (UTAUT2) model in the Jordanian context. The model was extended by considering two additional constructs namely; security and privacy. Utilising a self-reported survey, collected data was analysed using structural equation modelling (SEM) to test the research model. Five constructs were found to be the determinants of behavioural intention to use JoMoPay system, namely performance expectancy, social influence, price value, security and privacy. Together they account for 61.4% of the variance in behavioural intention. However, effort expectancy, facilitating condition and hedonic motivation did not have a significant impact on behavioural intention to use JoMoPay system and hence the related hypotheses were not supported. Lastly, conclusions, limitations and future research directions will be discussed further in the last section of the paper.
Keywords: JoMoPay system; M-payment; UTAUT model; Central Bank of Jordan; CBJ; security and privacy; Jordan.
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.
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 peoples 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.
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.
Adopting Technological Innovations in Work Organizations: The Role of Attitude, Subjective Norm, and Procedural Fairness
by Zhen Zhang Sullivan, Patricia J. Holahan, Jing Ma
Abstract: Theoretical frameworks fail to adequately explain technology adoption in settings where management, not the user, makes the initial adoption decision. This study integrates research on innovation adoption, behavioural intention, and procedural fairness to predict ones intention to use a new technology in the organisational context. We find the innovations attributes predict the users attitude; attitude and subjective norm predict intention. Furthermore, we find procedural fairness moderates the relationship between attitude and intention. Also, procedural fairness moderates the relationship between subjective norm and intention. These findings suggest that procedural fairness may be an important lever in gaining acceptance of new technologies in work organisations.
Keywords: attitude; innovation attributes; technology acceptance model; procedural fairness; subjective norm; perceived behavioural control; complexity; relative advantage; compatibility.
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.
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.
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.
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.
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.
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.
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.
ERP Systems Transition in Small Manufacturing Companies: The Tale of Two Countries
by Mohammad Daneshvar Kakhki, Vidyaranya Gargeya, Reza Mousavi
Abstract: An increasing number of small and medium-sized enterprises (SMEs) are modernising their legacy systems by replacing them with enterprise resource planning (ERP) solutions. This transition process is challenging and prone to failure. SMEs, especially those in developing countries are more likely to suffer from these challenges due to their limited access to financial and human resources. Therefore, this paper investigates the ERP transition process in SMEs of developed and developing countries to address challenges and success factors. This paper uses two case studies to gain a deep understanding of ERP transition. The research shows that the fit between ERP and business processes plays a critical role in the success of the transition project. Also, SMEs in developing countries, compared to developed countries, face more challenges in the transition process due to a lower level of prior experience and limited availability of ERP systems and consultants.
Keywords: ERP transition; small and medium-sized enterprises; SMEs; ERP implementation; ERP retirement; developed countries; developing countries.
Association rules mining for job seekers' profiles based on Personality traits and Facebook usage
by Sunday Adewale Olaleye, Dandison C. Ukpabi, Olayemi Olawumi, Donald D. Atsa'am, Richard O. Agjei, Solomon Sunday Oyelere, Ismaila Temitayo Sanusi, Friday J. Agbo, Oluwafemi S. Balogun, Saheed A. Gbadegeshin, Ayobami Adegbite, Emmanuel Awuni Kolog
Abstract: Personality traits play a significant role in many organisational parameters, such as job satisfaction, performance, employability, and leadership for employers. One of the major social networks, the unemployed derives satisfaction from is Facebook. The focus of this article is to introduce association rule mining and demonstrate how it may be applied by employers to unravel the characteristic profiles of the unemployed Facebook users in the recruitment process by employers, for example, recruitment of public relations officers, marketers, and advertisers. Data for this study comprised 3,000 unemployed Facebook users in Nigeria. This study employs association rule mining for mining hidden but interesting and unusual relationships among unemployed Facebook users. The fundamental finding of this study is that employers of labour can adopt association rule mining to unravel job relevant attributes suitable for specific organisational tasks by examining Facebook activities of potential employees. Other managerial and theoretical implications are discussed.
Keywords: association rule mining; Facebook; unemployment; personality traits.
Implementing COCOMO II as personnel direct cost in an owner estimate cost model for software project
by Sholiq Sholiq, Apol Pribadi Subriadi, Eko Wahyu Tyas Darmaningrat, Abdul Azis
Abstract: COCOMO II is a method to get effort, time (schedule), and cost for software development. In this study, COCOMO II was used to obtain personnel direct costs of a software development project. Personnel direct costs were one of the three components that compose the owner estimate cost. The purpose of this study was to propose a conceptual model to determine the owner estimate cost that was formed from three components, namely: personnel direct cost, non-personnel direct costs, and taxes. In this study, it was explained the stages of using the model to determine the owner estimate cost for software development projects.
Keywords: COCOMO II; owner estimate cost; OEC; software cost; software project.
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.
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.
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.
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 McLeans 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 doesnt 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 McLeans information systems success model; privacy concern; security concern.
An Integrated Model for Customers 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.
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.
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.
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.
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
Keywords: scale development; marketing intelligence; localised marketing; distributor marketing intelligence system; DMis; decision-making; distributor involvement.
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.
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.
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.
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.
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.
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.
Tobins 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.
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.
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.
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.
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.
A Tailor-Made Manufacturing Information System From Shop-Floor Operators Perspective
by Joneval Gomes, Jorge Luis Victoria Barbosa, Denise L. Bandeira
Abstract: This article aims to uncover the determinants of acceptance and the use of a tailor-made manufacturing information system implemented in a global bus manufacturer. A survey to map the perceptions of manufacturing operators working on two sites of production for components involved 166 workers. The unified theory of acceptance and use of technology (UTAUT) is the theoretical framework used in this study. Data analysis using cluster, crosstab and discriminant analysis, associated with personal and documentary observation, revealed the existence of four clusters of importance and satisfaction perceptions related to the use of this system. The analysis also reinforced the fact that managerial support plays a vital role in the adoption of manufacturing systems.
Keywords: acceptance and use of technology; industrial case study; cluster analysis; discriminant analysis.
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.
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.
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.
An empirical investigation of the determinants influencing cryptocurrency adoption in Kuwait
by Ahmed E. Elmorshidy, Issam A.R. Moghrabi, Mohamed Mahmoud Moustafa
Abstract: Although cryptocurrencys 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.
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 companys 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 companys social media page. The implications of the study are discussed.
Keywords: social media; customer co-creation; consumer loyalty; consumer engagement; consumer loyalty.
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.
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.
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.
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.
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.
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.
Stress and Coping: Technological Perspective from Indonesian Higher Education
by Ansar Abbas, Ayesha 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.
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.
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.
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.
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.
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.
Understanding technological acceptance to minimize possible risks on Electronic Payment Systems in Indian Customers Perspective
by Anitha Kumari, N. Chitra Devi
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.
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 students 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.
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.
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.
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.
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.
Customers 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.
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.
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.
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.
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.
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.
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.
CORPORATE SOCIAL RESPONSIBILITY OF CANARA BANK - A SYSTEMATIC STATUS REVIEW
by Naveenan RV, Jarin T, Boselin Prabhu
Abstract: Critiques claim that, the very concept of corporate social responsibility (CSR) is agenda of the North, which has a narrow focus. Organisations devise a special system to undertake socially responsible activities and report the same. Such organisations are equally supported by banks that are considered to be one of the pillars of the society. Banks have a key role to perform, not only financially but also socially. As a part of society, they contribute to the society through its CSR activities. Thus, banks were observed to be involved in numerous social responsibility activities for the development of society. This study aims at analysing the trends in CSR activities of Canara Bank. This helps us to understand various contributions made by Canara Bank for various social improvement activities. The study is conducted to understand and analyse the various CSR activities accomplished by the bank.
Keywords: India; commercial banks; corporate social responsibility; CSR; community welfare; public sector banks.
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.
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 companys 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.
Identifying specific interest areas of Twitter users tweeting about cryptocurrencies
by Ahmet Onur Durahim, V. Asl?han Nas?r, Samet Say?n
Abstract: Social networking sites (SNSs) are web-based online platforms on which users can express their opinions, ideas, lifestyles, share messages and news and communicate with other users. There is limited research conducted on identifying and investigating the interest areas of cryptocurrency users by using SNSs as a data source. In this research, the interest areas of Twitter users who tweeted about cryptocurrencies were investigated by scrutinising their tweets with a topic extraction algorithm. Aligned with the purpose of this study, Twitter users and their tweets were collected with a search query that consisted of cryptocurrency-related words. Then, these tweets were examined and interest areas of users were identified via topic extraction. According to the results of this research, Twitter users who tweeted about cryptocurrencies were also interested in the impact of globalisation, economy, disruptive technologies, politics, digital banking and finance, social life and data science in a descending order of interest.
Keywords: cryptocurrencies; social networking sites; topic identification; topic modelling; fintech; disruptive technologies; digital banking and finance; social media; data science; Twitter.
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 developers coordination of tasks and performance advantages.
Keywords: multiplexity; software development; communication network; social network analysis; SNA; software developer; performance.
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.
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.
Ubiquitous Computing to Accessible Way-finding: A Systematic Mapping Study
by Willian Werlang, Juarez M. Da Silva, Wesllei Heckler, Marcelo J. Telles, Jorge Barbosa
Abstract: The evolution of ubiquitous computing allowed the creation of smart cities. These cities use technologies to improve the life quality of their inhabitants, improving accessibility. This paper uses a systematic mapping study to analyse the works with ubiquitous computing to accessible way-finding, considering wheelchair users. This systematic review evaluated seven research questions considering project feasibility and solution functionalities. The research had twelve papers selected for the final phase. Most of these papers propose solutions with low investment to the user part. Some solutions can be optimised for a whole city context and support indoor and outdoor environments. The results also showed that most studies use trail management, while 58% support profile management and customisation. We found two research gaps: 1) lack of a testing methodology with a dataset capable of representing a complete city context; 2) a most extended period of test to evaluate the viability of the proposed solutions.
Keywords: ubiquitous computing; ubiquitous accessibility; path-finding; trail management; people with disability; wheelchair users; smart cities; smart spaces; accessible environment; accessibility.
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.
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.
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.
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.
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 entrepreneurs adoption of digital banking technology. Moreover, we tested the indirect effects of these three factors with entrepreneurs 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.
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 employees 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 employees 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.
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.
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.
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.
E-Governmanet in the perspective of college students (Lessons from user satisfaction)
by Yulita Setiawanta
Abstract: This research to purpose and clarify the relationship between the users and the developer of information service on the web of Directorate General of Tax (DGT), Ministry of Finance of the Republic of Indonesia and to clarify the D&M model of IS success concept and to examine the consistency or irrelevant part of the model. It is the official portal of the government related to education and legal literacy and taxation in Indonesia, which is a mandatory portal for accounting students taking taxation courses. Designing an observation study through indirect interviews by questionnaires. Random sampling was conducted and get 122 respondents. This research finding an insight that the D&M IS success model is well confirmed by system quality and information quality, except for service quality. The recommendation to improve service quality for information system developers in the future.
Keywords: system quality; information quality; service quality; user satisfaction; tax; accounting; e-government; information system.
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 players 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.
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.
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.
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.
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.
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.
Impact of COVID-19 on monitoring human health behavior through digital medium system
by Anuraj Singh, Anurag Singh, Adarsh Kumar
Abstract: COVID-19s 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.
The Effect of Earnings Quality on Internet Financial Reporting in Developing Countries from Different Perspectives: The Case of Jordan
by Mohammed Yassin, Yazid Melhem, Deaa 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.
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.
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.
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.
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.
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.
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 McLeans 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.
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.
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.
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 teams 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.
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.
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.
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.
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.
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 intelligences 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.
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.
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.
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.
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.
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 users 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.
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.
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 countrys e-readiness positively influences both its e-business and e-government development. Furthermore, we show that a countrys 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.
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.
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.
Mobile financial applications development using an integrated approach of the Netnography, Fuzzy QFD and Fuzzy Flowsort
by Mohsen Shafiei Nikabadi, Mohammad Rahmani Manesh, Hanieh Shambayati
Abstract: The growing popularity of mobile applications and technology has led to developing the relationships of many corporations with consumers through mobile apps. Therefore, designing applications based on consumers preferences and requirements are very important. This research seeks to evaluate and rank the technical requirements of mobile financial applications according to the customers needs. Firstly, the netnography technique has been used to identify customer needs through the analysis of customer comments. After determining the technical requirements, using the latest edition of ISO 25010 standards, customer requirements and technical requirements have
been analysed using the fuzzy QFD method. Finally, to determine the most important technical requirements, the fuzzy flowsort method was used for ranking. The results showed that security requirements, maturity, availability, appropriateness recognisability, operability, user interface aesthetics, accessibility, and analysability are the most important and most effective requirements related to customer needs in the area of mobile financial applications.
Keywords: technical requirements; mobile applications; quality function deployment; QFD; fuzzy flowsort’ expanding fuzzy quality performance; netnography.
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.
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.
The scientific and innovative world of Kazakhstan
by Elmira Elbergenovna Zhussipova, Madina Unaibekovna Beisenova, Alma Shorayevna Kuralbayeva, Gulmira Kuzdeualiyevna Issayeva, Zarema Abdramanovna Bigeldiyeva, Dinara Saparovna Zhakipbekova
Abstract: The author in this study used the GDP indicator for a generalised indicator of goods in Kazakhstan for analysis and compared the demand for research and development abroad, and the demand for their research and development in this country, where researchers in the field of natural resources dominate sciences, then technical, and then medical sciences. The mathematical model of the research trend allowed the author to analyse and forecast the dynamics of an effective indicator in order to develop a model of the dependence of the share of domestic R&D expenditures as a percentage of GDP on the volume of domestic costs. The article proposes an approach of convergent technologies to determining the directions of transformation of scientific and innovative development in terms of expanding the involvement of regions in the scientific and innovative process in order to ensure a wider dissemination of scientific results based on their innovation.
Keywords: convergent technologies; NBIC; R&D; GDP; scientific and innovative development; transformation; the triple helix of relations.
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.
The System of Sentiment Analysis and Hidden Propaganda Finding
by Rostyslav Strubytskyj, Nataliya Shakhovska
Abstract: The paper presents the system architecture for intelligent text analysis as a tool of decision management in national security and protection. The media is becoming a more powerful tool in manipulating public consciousness. Also, manipulation can be used as a tool to promote the interests of one country over another. The technical framework for collecting historical articles from the website, analysing the peak bursts of news, performing text mining for each article are developed in the paper. A hybrid approach for sentiment analysis and hidden propaganda finding was chosen for this study. The architecture of creating an automated information collection system is proposed. The manipulation of public consciousness and the amount of negative news articles about two countries are analysed. The results of our examination lead us to believe that information disseminated from the media is manipulative.
Keywords: natural language processing; NLP; big data; public opinion; emotional recognition; content filtering; media content.
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.
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.
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.
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.
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.
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.
E-Commerce Research Models: A systematic review and Identification of the Determinants to Success
by Vikas Kumar, Ogunmola Gabriel Ayodeji
Abstract: Electronic commerce has become a prominent channel for which traditional and novel businesses reach out to consumers for selling their products. However, as a result of the competitive nature of the industry, sellers need to innovate regularly so as to capture a large market share. Correspondingly, the researchers are always scrambling to propose new e-commerce models to guarantee the success of ecommerce business. This study is a systematic review of the various prominent e-commerce success models, which have been proposed over the years. A comparative analysis has been conducted to analyse the online business success factors as presented by different models. The relevance and necessity of each of these determinant factors has also been presented. This study covers a number of e-commerce models, which have gained popularity over time to discuss their interventions in success of e-commerce. Main idea is to identify the constructs leading to user satisfaction, which may be a precursor for customers repeat purchase intention. This can further lead to the successful e-business, if strategically implemented.
Keywords: website qualities; D&M IS success models; customer satisfaction; e-commerce success model; net benefit.
A comprehensive approach to study the Adoption and Implementation of Cloud Based ERP among SMEs
by Aveek Basu, Sraboni Dutta, Rohini Jha
Abstract: Cloud computing over the recent years have become the de-facto technology in delivering seamless IT services across industries. With the aid of cloud technology, ERP systems are transitioning itself to take advantage of the myriad of benefits facilitated by cloud. The COVID pandemic has a significant impact on the small and medium enterprises (SMEs) in the last two years and to remain competitive the SMEs need to adopt the latest technology. The current research work aims to develop an extended integrated unified theory of acceptance and use of technology 2 (UTAUT2) model and attempts to excavate the factors responsible in adoption and use of cloud ERP among the SMEs. Exploratory research and quantitative survey has been conducted to determine the intention among SMEs towards adoption of cloud ERP. The significant findings from the study will aid SMEs to determine and analyse the factors influencing cloud ERP adoption.
Keywords: cloud ERP; intention to use; actual use; UTAUT2; small and medium enterprise; data security; vendor lock-in.
How Does Snapp Interact with Customers? Investigating Customer Engagement Solutions in Snapps Digital Organization with Netnography Method
by Abbas Ali Rastgar, Maryam Asgharinajib, Sima Alipour
Abstract: The digital age is the era of digital technologies that have revolutionised organisational strategies and structures. In particular, these changes are evident in the engagement between digital organisations and customers. Therefore, the purpose of this study is to investigate customer engagement solutions in Snapps digital organisation with the netnography method. 2018 comments were collected from digital users on the Instagram page of Snapp, and the connotation of the comments was examined by the netnography method. Also, word clouds were created using ATLAS.ti software. The findings of the study showed that Snapp interacts with customers in three types: cognitive, emotional, and behavioural. The results show that Snapp has been successful first in the behavioural field and then in the emotional and cognitive field, and by using these CE solutions, it has been able to infiltrate its customers. Snapp has made good use of digitalisation in its structure, workforces, and processes.
Keywords: customer engagement solutions; digital organisation; Snapp; netnography; IR; Iran.
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.
An Advanced Comparative Analysis of Proposed Deep Learning Architectures for Musculoskeletal Disorder Classification
by Sadia Nazim, Syed Sajjad Rizvi, Muhammad Moinuddin, Muhammad Zubair, Muhammad Rizwan Tanweer, Saima Sultana
Abstract: Deep learning is at the cutting-edge of artificial intelligence (AI) and is emerging rapidly. Over the last few years, it has participated more significantly in medical image analysis. Hence after extensive research with many setbacks, deep learning has recently obtained significant exposures, enabling deep learning classical models to go above and beyond the human annotations of medical images. As manual assessment is often unrealistic, cumbersome and error-prone and the number of digital medical images grabbed daily is increasing rapidly. Hence there is a requirement to build a technique capable of appropriately exposing and classifying anatomy and irregularity in medical images. This paper is an advanced version of previously published work that specifically portrays the progressive performance of proposed deep learning variants such as CNN, LSTM and BiLSTM against the existing pre-trained models results. The performance improvement has been measured by presenting an extensive comparative study for the state-of-the-art LERA dataset.
Keywords: LSTM; BiLSTM; convolutional neural network; CNN; radiographs; musculoskeletal; LERA.
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.
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.
Identifying Ethiopian National Mining Cadastre System (ENMCS) Post Implementation Success Factors: The Case of Ministry of Mines of Ethiopia
by Tibebe Beshah, Fitsum Asefa
Abstract: A strategic direction put forward for the mining sector of Ethiopia is attracting foreign direct investment to the mining sector. Ethiopias Ministry of Mines and Petroleum (MoMP), upgraded its back office only mineral rights and administration system to Ethiopian National Mining Cadastre System (ENMCS) with an e-government portal to improve the mineral licensing and administrations transparency and efficiency which in turn is believed to boost investor confidence. A combination of quantitative and qualitative methods has been employed to collect and analyse data aimed at explaining technical, organisational and operational themes constructs that affect the post implementation utilisation of the ENMCS. A census is conducted through administering a survey questionnaire to the population of the study. It is found that organisational construct of training and operational construct of data quality improvement to have a significant positive relationship with the ENMCS perceived usefulness and overall satisfaction. A high level ENMCS post implementation utilisation user guide is proposed based on the findings using the people, process and technology concept as a guide.
Keywords: land administration system; ENMCS; Ethiopian National Mining Cadastre System; post implementation success; Ethiopia; MoMP; Ethiopias Ministry of Mines and Petroleum.
Digital Signal analysis of a WK Algorithm
by MUHAMMAD AHMED SIKANDER, Syed Sajjad Hussain Rizvi, Rashid Hussain, Jawwad Ahmad
Abstract: From around a decade communication with mobility is a prime necessity in different aspects of education and business fields. Currently, communication became the first priority not also in different professions but in everyday life with ease, simplicity and smoothness. For the smooth communication, error free transmission is needed. For the said objective, a frame work is established by serially merging two powerful tools, wavelet and Krylov subspace sequence. The presented algorithm was the PhD research of the author which was well published and is recognised as WK algorithm. This current research paper briefly explained the WK algorithm and applies it with different modulation set to fully make it understandable. The previous findings of the research were on analogue signal only and were recognised in an international repute publication on which candidate acquire a PhD degree. The current research was done on the same algorithm but with digital analysis, i.e., the algorithm is tested on digital modulated signal that were BPSK, QPSK and 16-PSK. The findings in the paper was the same as was previous that WK performance is far better than the other traditional algorithms and it gave the desired output in much efficient manner.
Keywords: wavelet; Krylov; least mean square; LMS; finite impulse response; FIR; algorithm; communication; transmission; transforms.
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.
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.
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.
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.
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.
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. Ducoffes 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; Ducoffes web advertising; hedonic motivation; persuasiveness; informativeness; consumers purchase intention; nutritional drinks.
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.
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.
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.
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.
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 nations 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.
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.
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.
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.
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.
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.
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 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.
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.
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 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.
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.
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.
Utility-Frequency Analysis Using Customer Market Basket Data in the Retail Sector
by Gökçe Baysal Türkölmez, Ipek Deveci Kocakoc
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.
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.
Employee turnover intention: an empirical analysis
based on workplace dimensions
by Kiran Mayi Immaneni
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 job stress has a higher influence on the turnover intention
followed by organisational commitment. The management must focus to
improve on the parameters of job stress and organisational commitment so as to
minimise employee turnover intention. Job stress ranks higher over other two
antecedents that influence turnover intention. Parallel comparison of three
variables with equal weightage adds novelty to the study.
Keywords: workplace dimensions; job stress; job satisfaction; employee
turnover intention; ETI; organisational commitment; hotel industry.
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.
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.
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.
Factors influencing e-business adoption by
by Mohammad J. Adaileh
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
Keywords: TOE; electronic business; e-business; adoption; SMEs; Jordan;
structural equation modelling; SEM; EFA; CFA.
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;
Review rating prediction using explicit and implicit
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.
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.
An empirical investigation on continuance intention
for e-commerce among SMEs
by Xiu Ying Pan
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 nations 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
Keywords: 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.
The mediating role of innovation in the relationship
between corporate governance and organisation
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
Keywords: innovation; corporate governance; organisation performance.
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.
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.
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.
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.
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.
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 companys 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 employees 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.
The impact of E-marketing and Marketing orientation on Firm performance with moderating role of Social media usage
by Hussain Awad, Khaled ABOALGANAM
Abstract: This study constitutes a first attempt to investigate nexus between e-marketing, marketing orientation, customer engagement and firm performance. Results indicate that altogether e-marketing, competitor orientation, customer orientation, e-marketing, Inter-functional coordination, social customer relationship management (CRM) capabilities explained R2 78% variance in customer engagement. Firm performance is predicted by customer engagement and social media usage and showed R2 20.6% variance in firm performance. These findings confirmed that newly developed CRM model is robust to predict customer engagement and firm performance. Effect size (f2) exhibited that e-marketing had substantial effect size on customer engagement. The predictive relevance of the model indicated that the model has substantial predictive relevance Q2 57.1% to predict customer engagement. Following importance performance matrix analysis it is suggested that managers and policy makers should focus on customer engagement, e-marketing and social media usage in order to augment the firm performance.
Keywords: customer relationship management; CRM; e-marketing; social CRM capability; social media use; marketing orientation; structural equation modelling; SEM.
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, firms size, administrators supporting and accountants 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.
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 Banks 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 Banks accounting information system.
Keywords: big data; accounting information systems; success; Arab Bank; Jordan.
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.
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.
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.
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; its 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.