International Journal of Business Information Systems (167 papers in press)
What is inside the mind of teenagers on Instagram?
by Nur Rakhmawati, Irmasari Hafidz, Tetha Valianta, Azmi Pratama, Doddy Ridwandono, Lolanda Hamim Annisa
Abstract: Instagram is one of the most used social media with 45 million active users on each month. In Indonesia, the highest number of internet users is between the age of 1334 years old. It shows that most of the new internet users are young people. In this research, we create a topic model for the Instagram caption of teenager users in Surabaya, Indonesia, using latent dirichlet allocation (LDA) method. By using pen and paper questionnaire, we collected total number of Instagram 494 valid accounts with 4,664 captions. The data were collected from January 2014 to June 2017. The process of modelling using LDA was performed by experimenting with a set of number of topics: 2, 3, 4 and 5. The two topics were selected because it has a small value of perplexity, which indicates that the model has a good level of conformity. The two topics represents two categories: school and relationship. It was found that the topic model was dominated by the relationship category.
Keywords: Instagram; Captions; Topic Model; Teenager; Latent Dirichlet Allocation.
Examining Mobile Marketing Technology Adoption from an Evolutionary Process Perspective: The Study of UK Service SMEs
by Sunday Chinedu Eze, Vera C. Chinedu-Eze, Tony Nwanji, Adenike O. Bello
Abstract: This paper attempts to examine mobile marketing technology adoption research and practice in small and medium enterprises (SMEs) from an evolutionary and dynamic process perspective using the concept of dynamic capabilities (CDCs). This study adopted a qualitative method to explore how small services oriented SMEs regularly engage in mobile marketing technology adoption. Two stages of interviews (unstructured and semi-structured) were carried out with a total of 26 interviewees. Data collected from the interviews were analysed using a thematic approach to understand the evolutionary and dynamic nature of the mobile marketing technology adoption process, entities involved and how they interact. The findings revealed the reiterative and the evolutionary nature of mobile marketing technology adoption and the continuous interactions and negotiations of numerous entities in the process, underpinned by the concept of dynamic capabilities and validated by the empirical data. The study developed a framework depicting the process of mobile marketing technology adoption, significant activities and entities involved in the process. The study advances mobile marketing technology adoption research and practice by developing a framework that describes the interactive, dynamic and evolutionary nature of mobile marketing technology adoption, entities associated with the framework and their interactions in the process.
Keywords: Mobile marketing; technology adoption; Dynamic Capabilities; SMEs; qualitative approach.
A survey of XBRL adoption impact on financial software development processes and software quality
by Marcelo Cerqueira, Paulo Caetano
Abstract: XBRL technology is currently used by several government institutions and companies around the world. The literature includes many papers related to the uses and benefits of XBRL in the areas of finance and accounting. However, there is a research gap on its benefits to software engineering. This paper seeks to identify the XBRL impacts on financial software development processes and software quality factors. Identifying such impacts may help software development companies better understand the advantages related to XBRL use and increase the adoption in other companies. This, in turn, may contribute to software quality improvement, facilitating the implementation of better financial software development frameworks in organisations.
Keywords: Software Process; Software Quality Factors; Software Engineering; XBRL; Multidimensional Data Metamodel.
Recent themes in social media research: A systematic review
by Rahul Bodhi, Tripti Singh, Subiya Rahman
Abstract: Social media is emerging as an essential media for communication both at the personal and organisational level. The present paper applies a systematic literature review methodology for identification of relevant articles in the area of social media and generational cohorts. The objective is to undertake a thematic review, recognise issues related to social media to identify research gaps and thus draft an agenda for future studies. The main concentration of research has been related to utilities and functions of social media, personal, workplace, and social aspects, and usage pattern of social media by generational cohorts. It establishes that social media is recognised not only because of its advantages but also certain negative aspects which have an effect on both physical and mental well-being of individuals. Thus, the main area of concern is to formulate as well as implement appropriate policies and programs for its effectiveness. Suggestions are based on reviewed articles for future studies.
Keywords: Generation; Social Networking; Research agenda; Thematic Analysis.
An Exploratory Study of the Information Security Awareness of Business School Students in UAE
by Saadat Alhashmi, Mohamed Salem M.Bayou
Abstract: The objective of this paper is to understand the status of information security awareness among business school students in the Middle East. Based on the literature review, the authors developed a questionnaire to understand the attitude of business college students about information security. Universities and companies, especially in the Middle East, can identify the awareness level of students. This is an ongoing work and needs a better understanding of how future-leaders of business look at this serious issue. Besides universities, firms must, therefore, manage these concerns and opportunities promptly. Overall, the empirical results show that the impact of technology and awareness coefficients is insignificant while students are comfortable answering technology and fraud related issues.
Keywords: Fraud; Technology Use; Training; Impact of Technology.
Is organisational culture a hurdle in online knowledge sharing? : A conceptual view
by Imran Khan
Abstract: In the knowledge economy, sharing the key resource-knowledge is a key challenge. A virtual community (VC), which is a socio-technological system, is considered as a suitable tool to meet the challenge. However, many issues regarding sharing knowledge through VCs need to be addressed. One of such issues is organisational culture. The paper aims to conceptualise the relationship between knowledge sharing and organisational culture in an online environment like VCs. The research uses the organisational cultural model developed by Khan and Usoro. The model consists of support, coordination, innovation and rules orientations. The research hypothesised that support, coordination and innovation orientations have positive relationships with knowledge sharing in online environments while rules orientation has a negative relationship. The research is a conceptual study and based on literature study. In future studies, data will be collected from VCs to test the model.
Keywords: Virtual communities; Knowledge sharing; organisational culture; knowledge management; online trust and knowledge sharing systems.
Human Resource allocation in projects: A systematic mapping Study
by Eduardo Kieling, Felipe Rodrigues, Jorge Luis Victoria Barbosa, Alexsandro Filippetto
Abstract: The effective use of human resource and time management in projects can bring huge benefits to the companies' performance. Based on this point of view, a systematic mapping study was performed about research papers related to human allocation in projects. The purpose of this paper was to understand the used techniques to allocate human resources in projects and show gaps for further works. After performing the researches, an initial set of 7,894 articles was obtained. The application of selection criteria allowed the choice of 27 articles. These works were classified considering their relevance and contribution to the resource allocation area. Among the articles selected, two gaps were noticed: companies cannot change their strategic objectives once the project is started; the memory of previous allocations could not be used for future allocations. The results of this study are expected to help project managers improve their human resource allocations.
Keywords: Project management. Human resource allocation. Mapping study. Human Resource Recommendation. Strategic Objectives. Recommendation Techniques.
The Effect of Strategic Learning for Human Resources on Dynamic Capabilities of Airlines Companies in Kuwait
by Sulieman Al-hawary
Abstract: The aim of this study was to explore the impact of strategic learning on the dynamic capabilities of human resources in airline companies in Kuwait. The study sample consisted of all managers working at different levels in these airline companies. To collect the data, a questionnaire-based survey was used and the model was empirically tested using 110 responses from the airline companies in Kuwait and applying multiple regression tests using SPSS software. It was found that strategic learning had a significant impact on the dynamic capabilities of the human resources workforce in airline companies in Kuwait with regards to the four dimensions studied. Based on the study results, the researchers recommended that managers and decision makers in the airline industry in Kuwait should have the ability through various strategies to seize opportunities from companies that show great importance within the market because of their ability to increase the market share which was in turn reflected by an enhancement of their competitive position.
Keywords: Strategic Learning; Human Resources; Dynamic Capabilities; Airlines Companies; Kuwait.
Implementing Enterprise Resource Planning in SMEs: The consultants perspective
by Nataa Rup?i?
Abstract: The paper provides examination of the implementation of the enterprise resource planning system (ERP) in small and medium-sized companies (SMEs) in developing countries from the consultants perspective based on the designed conceptual model. The proposed model tries to integrate the human resource dimension with organisational development perspective within the project-based change management process. Implementation of ERP systems is considered both from the process perspective and from the organisational learning and knowledge management perspective. ERP implementation and outcomes in SMEs were studied by employing the explorative approach. Research findings contribute to the body of knowledge regarding ERP implementation in terms of the suggested implementation framework supported and verified by insights from the experienced international consultants. Research findings could be relevant for managerial decision-making regarding ERP implementation due to provided guidelines for each phase of the process.
Keywords: business process reengineering; consultants perspective; Enterprise Resource Planning (EPR); ERP implementation; ERP outcomes; organizational learning; small and medium sized enterprises (SMEs).
The Role of Internal Marketing Orientation and Organisational Citizenship Behaviour on Performance: Testing the Moderating Role of Business Intelligence
by Reza Rostamzadeh, Ali Sadeghzadeh
Abstract: The purpose of this study is to investigate the effect of internal marketing orientation and organisational citizenship behaviour (OCB) on organisational performance considering the moderating role of business intelligence. The present study is a descriptive-correlation type and applied in the nature. The library-field and questionnaire used for data gathering. According to the research goal and the subject of the research, this research includes a sample of managers and staff of a large construction company. In this research, the structural equation modelling (SEM) is used to evaluate the causal model and verify the reliability and validity of the measurement model. The proposed model and the data obtained from the questionnaires analysed using the Smart PLS software. Finally, the results showed that the orientation to internal marketing and organisational citizenship behaviour significantly affect the performance of the company, and also, the business intelligence moderates the relationship between the internal marketing and organisational citizenship behaviour regarding to the organisational performance.
Keywords: Business intelligence; organizational citizenship behavior; internal marketing; organizational performance and construction Company.
Analyzing the factors that affect the adoption of payments banks services in India: An Analytic Hierarchy Process (AHP) approach
by Kriti Priya Gupta, Rishi Manrai, Utkarsh Goel
Abstract: Mobile financial services (MFS) provide added convenience to existing bank customers in developed markets, and act as a vehicle to achieve financial inclusion in developing countries. The Government of India launched a new MFS, i.e., payments banks (PB) with an objective of increasing the penetration level of banking services in the country. The purpose of the current study is to identify the most significant factors which influence the Indian customers to adopt PBS. The paper by carrying out literature review first identifies the factors which effect the customers adoption of PBS and then using analytic hierarchy process (AHP) tries to prioritise them based on their relative importance. AHP was applied on the data and the results obtained reveal that perceived benefits are of utmost importance for the adoption of payments banks services. Moreover, monetary benefits;, time saving; trust in service provider, and financial risk, are the topmost four sub-factors for the enabling effective adoption of PBS.
Keywords: Mobile financial services; Payments Bank; Technology Adoption; Analytic Hierarchy Process; India.
An empirical investigation of the determinants of student success in online ERP courses
by Yu Zhao, Kakoli Bandyopadhyay, Soumava Bandyopadhyay
Abstract: The purpose of this research is to understand the factors that impact students perceived learning outcomes, satisfaction, and the intention to continue using an online learning platform in enterprise resource planning (ERP)-enabled online courses. The factors considered are online learning platform quality, ERP system quality, information quality, instructor support, and student motivation. We selected SAP as the ERP system that students learn online via any online learning platform, such as Blackboard. We surveyed business students from four mid-sized state universities in the USA. Partial least squares structural equation modelling (PLS-SEM) was used to empirically test the model. The findings indicated that all factors, except instructor support, were significant determinants of learning outcomes. All factors, except information quality, were significant determinants of student satisfaction. Online learning platform quality and SAP quality were significant determinants of students intention to continue to take online SAP-enabled courses using the current learning platform.
Keywords: enterprise resource planning; SAP; online learning; learning outcomes; satisfaction; continued use intention.
The use and impact of Goodreads rating and reviews, for readers of Arabic Books
by Ahmad Alghamdi, Hisham Ihshaish
Abstract: The focus of this research is to assess how the use of Goodreads can influence Arabic readers' selection of books, to study Arabic reviewers' behaviour and to explore the impact of Goodreads' metrics on book sales. Research methodology of the presented work consisted of a wide review of relevant literature, the collection and analysis of data from a questionnaire and a case study on a list of best-selling Arabic books fetched from two book-review platforms; Goodreads.com and Jamalon.com. The findings of the presented study show that Goodreads metrics reveal highly relevant indicators for books' contents, and consequently have a significant impact on Arab's book-purchasing decisions. Furthermore, we observed that Arabic Goodreads users tend to rate books rather than write reviews, and their book evaluation is mostly based on their contents. Primary research results suggest that, with proper analysis applied, Goodreads is an effective book evaluation network/online community for Arabic readers and Arabic book consumers. It is believed that the effectiveness of the studied network is mainly due to the metrics applied, which appear to be matching evaluation criteria as preferred by Arabic readers.
Keywords: Goodreads; online community; book reviews; Arabic book review; Arabic Goodreads; book rating; online bookstore; social network; book reader; word-of-mouth recommendations.
Customer Sentiment towards Freebies in Telecom Sector: A Social Media Mining Approach
by SUHEL AHMAD, Alpana Srivastawa, Seema Sharma
Abstract: Organisations rely heavily on social media for inferring customer feedback and sentiments associated with their products or services. This study, using social media data, aims to find the sentiments associated with JIO, a new entrant among Indian cellular service providers. They initially offered all the services for free (freebies) to attract subscribers. Tweets were analysed using text mining techniques and R statistical tool. The findings reveal that, in spite of 23% users of JIO having a negative sentiment, the customer-base of service provider is continuously increasing, suggesting high inclination towards freebies. Further, some service parameters were negatively mentioned, pointing towards the need for improvement. Presence of a system bug was identified, that the service provider was unaware otherwise. Future prospects include sentiment analysis of customers from other platforms. This is an independent work, conducted utilising text mining and results could be implemented to monitor and upgrade service quality.
Keywords: JIO; sentiment; twitter; analytics; freebies; Telecom; data mining; text mining.
Stage-by-stage technology for developing of integrated e-trading management system
by Oleg Pursky, Iryna Moroz, Victoria Novikova, Sviatoslav Pavlyshyn
Abstract: In this work, we present the stage-by-stage technology for development of integrated e-trading management system which consists of four basic stages. As a first stage in accomplishing this goal, we set out to apply a methodology of functional modelling SADT (IDEF0) to develop a functional model for a large e-trade enterprise. At the second stage of this technology, we wanted to ascertain scheme of e-trading business processes conformity to modules of the developed functional model and establish their relationships with the organisational structural elements of the e-trade enterprise. At the third stage of technology, we have turned our attention to developing an architecture model for integrated e-trading management system. A service-oriented architecture (SOA) using enterprise service bus (ESB) concept is offered for architectural implementation. Typical IS that belong to the web-system are used as services. The web-services implement SOAP protocol based on Web Services Description Language (WSDL) and universal description, discovery and integration (UDDI) specifications. Finally, as a fourth stage of technology, we presented the method of software implementation for integrated e-trading management system.
Keywords: e-trade; business process; functional model; SOA; ESB; integration patterns; architecture model of integrated e-trade management system.
Factors affecting the use of social networks as a customer relationship management (CRM) tool
by Mohammed Nuseir, Abdallah AlShawabkeh, Emma Leibfried
Abstract: Social networking finds its essence in communication. People communicate with their friends and acquaintances to increase their social capital, deepen their existing relationships, and enter into new relationships. By sub-categorising social networks into three main criteria factors, namely social structures, relationships, and communities, this study aimed to investigate companies' potential to use customers' social networks as a customer relationship management (CRM) tool in order to maintain the existing customer base and to acquire new customers. The sample included 268 participants from Germany and the UK. Study results revealed that the incorporation of social networks could serve as a powerful CRM tool for companies. The management of companies should therefore be aware of these influential factors to improve customer service and CRM processes.
Keywords: social networks; social media; social network marketing; customer relationship management; CRM tool.
DIVERSIFYING THE PREDICTIONS IN THE RECOMMENDER SYSTEMS
by .Bam Bahadur Sinha, R. Dhanalakshmi, V. Saran Chaitanya
Abstract: In pursuance of building a recommender system, the existing collaborative filtering model often fails to provide a diversified list of recommendation to the end user. Most of the existing models target accuracy and thus fails in avoiding the uniformity dullness from the recommended list. In our paper, we have made use of imputation technique to cut-off sparsity and employed graph-based algorithm to generate a diversified list of recommendations in order to prevent the aforementioned problem of over specialisation. A substantial coverage evaluation on MovieLens dataset demonstrates the fruitfulness of our proposed graph-based model.
Keywords: Aggregate diversity; Graph based algorithm; Collaborative filtering; Data sparsity; Imputation; Over-specialization and Coverage.
A Systematic Review and Bibliometric Analysis of Community Detection Methodologies in Dynamic Networks
by Shashank Mouli Satapathy, Namika Makhija, Ashish Kumar Dwivedi
Abstract: With the growing use of the internet, the number of relationships between individuals has increased in large numbers. This has necessarily paved the way for community detection, which is one of the primary methods to analyse social networks. There have been several methodologies proposed for community detection in the past, which are systematically contrasted against each other in the following sections. The aim of this research article is to analyse the various proposed methods for community detection on six primary basis: most commonly used algorithms, the research interest of the topic, country-based interest, author co-citation network, other investigated domains, and the relationship between citations and year of publications and algorithms. A set of research questions is formulated that addresses the objective of conducting this literature survey. A search strategy is employed to cater to the required set of articles.
Keywords: Cocitation Networks; Community Detection; Community Structure; Social Networks.
Critical Success Factors Framework for implementing and adapting BIS on Organizational Performance
by Gawaher Hussein, Mohamed Grida, Abdel Nasser H. Zaied
Abstract: Business intelligence systems (BIS) have an important role in an organisation development and have received a considerable attention from researchers and practitioners. Few studies have empirically evaluated the effect of critical success factors (CSF) on successful implementation of BIS, and some empirically evaluated these impacts on organisational performance. The main objective of this research is to propose a CSFs framework by categorising CSFs into four categories and studying their effects on organisational performance. A case study from Egypt was used to identify the possible existing gaps in the implementation of BIS and suggested the possible ways to enhance organisational performance. The results show that the CSFs are crucial for successful implementation of BIS and have positive significant effect on an organisations performance.
Keywords: Business Intelligence Systems (BIS); Critical Success Factors (CSF); Organization's Performance (OP); Business Intelligence Implementation (BII); Business Intelligence Framework (BIF).
Cluster based convolution process on Big Data in Privacy preserving datamining
by Lalitha R., Rameshkumar K.
Abstract: The main intension of this paper is to privacy preserving-aware over big data in clouds using KNN and MapReduce framework. This paper consists of three phases such as, MapReduce phase, clustering the map reduced data and evaluation phase. In MapReduce phase, we are splitting the input data after the splitting process we are including a k-means clustering algorithm to cluster the map reduced data. Then we are performing a convolution process to the dataset and create a new matrix. Once it is over, the privacy-persevering framework over big data in cloud systems is performed based on the evaluation base. In evaluation module, performed with the aid of KNN algorithm in this phase using KNN technique to check the duplication data also based on the threshold we store the non-duplicated data's are stored in cloud database, which is improving the utility of the privacy data.
Keywords: Cloud computing ;Cluster;Distributed File System (HDFS);KNN.
Task-Technology Fit (TTF), User Satisfaction, and Information System (IS) Acceptance in Relief & Social Services Sector
by Khalid Dahleez, Khaled Bassam Al-Gharbawi
Abstract: his research focuses on studying the management information system (MIS) used in 16 area offices of Relief and Social Services Program (RSSP) at UNRWA
Keywords: Task-technology fit; TTF; Technology Acceptance Model; TAM; IS User Satisfaction; IS Success; IS in Relief & Social Services; Perceived Usefulness; Perceived Ease of Use; Computer Self-Efficacy.
Realizing the missing: how does the sense of organizational belonging influence the success of enterprise resources planning (ERP) implementation?
by Ibrahim Almatrodi
Abstract: This paper examines the question of how the sense of belonging to an organisation on the part of the organisation's employees influences the success of the process of enterprise resources planning (ERP) implementation. The research seeks to address this question by employing a qualitative case study methodology, and specifically by conducting semi-structured interviews with an information technology (IT) manager, developers, implementers and users, and university managers. The study finds that a sense of organisational belonging influences the success of ERP implementation through psychological and managerial means, and through the use of power. It also includes recommendations from the perspective of the participants regarding how a sense of organisational belonging can promote this success.
Keywords: Organizational belonging; ERP systems; case study; ERP implementation.
Open Source Platform for Big Data Exploration and Analysis
by Fernando Almeida, Pavel Kovalevski, Dovydas Sakalauskas
Abstract: Despite the enormous potential of big data, it is a relatively new issue for many companies, particularly for those of smaller size that looks this challenge as unattainable and only possible for companies with high financial capacity. However, open source software presents itself as an excellent alternative for these companies, which will allow them to exploit the high volume of data they have at their disposal. In this sense, this study presents a proposal for an architecture based exclusively on open source software that includes the entire value chain of big data, from data collection to data analysis. This architecture was tested considering three emerging scenarios in which big data become very relevant and challenging, namely for mobile analytics, network analytics, and mobile analytics.
Keywords: big data; open source; data mining; mobile analytics; network analytics; mobile analytics.
A Ubiquitous Project Management Model based on Context
by Alexsandro Filippetto, Giovane Barcelos, Jorge Luis Victoria Barbosa, Rosemary Francisco, Amarolinda Z. Klein
Abstract: The context of project management often involves a high degree of uncertainty. Approaches to minimise this uncertainty and to provide proactive risk management regarding the right allocation of individuals in project teams are needed. They could reduce risks such as planning deviations from the targeted time, cost, and quality of the project. In this sense, this paper proposes a model to support risk and activity management, aimed at the allocation of individuals in projects through an ontology based on the concepts of the activity theory. This model named Kairos can help the allocation of appropriate resources to each project. The scenarios and prototypes applied in the evaluation of the model demonstrate its suitability and utility to support project managers.
Keywords: Project Management; Risk Management; Resource Allocation; Activity Theory; Ontology.
Does knowledge intensity of industry promote firms ICT use? :Empirical evidence from South Korea
by Min Jae Park, Jeong Yeon Won
Abstract: This paper investigates the factors that influence the digital divide at a corporate level and the effects that external factors (transaction and knowledge intensity of industries) have over the division of company levels. The conceptual framework of this study is based on a theory of planned behaviour (TPB) model to explain the gap between the utilisation of ICT use in companies with a quantitative approach, by collecting a data sample of 4,303 Korean companies participated in national survey of 2016. There exist endogenous factors such as perception of using value, management support and innovation readiness to influence the use of ICT. In addition, the moderating effect of knowledge intensity of industries (KII) has a limited impact on the ICT use. This paper aims to examine the digital divide with an extension of changes from corporations to the industrial structures.
Keywords: Digital Divide; Theory of Planned Behavior (TPB); ICT use; Corporate/Firm; Competition; Knowledge Intensity.
Software productivity based performance assessment of projects of Startups
by Parthasarathy Sudhaman, C. Sridharan
Abstract: Software startup companies are meant to deliver software products or services in a short time, while operating with minimum resources. This research work makes an attempt to evaluate the efficiency of software projects undertaken by these software startup companies, using data envelopment analysis (DEA), and explores the impact of software customisation over the efficiency of their projects. Dataset of ten software projects, from four different software startup companies, has been used for DEA analysis. From this analysis, it is observed that four of the ten software projects are the most efficient. We have also mapped the degree of customisation with the estimated efficiency of these software projects, and found that the software customisation has considerable influence over the efficiency of the software projects undertaken by software startup companies. This research work has specific implications for software startups.
Keywords: software projects; customization; DEA; optimization; efficiency; software startup.
Antecedents of repurchase intentions in Indian e-commerce
by HABEEB SYED, K. Francis Sudhakar, T. Rahul
Abstract: The purpose of this study is to determine the antecedents of online shopping repurchase intentions in India. The influence of factors like online customer satisfaction, customer trust, website quality and website design on repurchase intentions was explored. The study was performed considering 413 valid responses collected from an online survey. A model was built and tested with a structural equation modelling (SEM) approach. The results indicate that website design, website quality, and customer experience had a meaningful and positive effect on customer satisfaction. Customer satisfaction positively affects customer trust and customer loyalty. The findings provide important implications for marketers to implement in Indian e-commerce.
Keywords: Customer satisfaction; Customer trust; India; Repurchase intention; Structural equation modeling.
Constraint based recommender for procurement opportunities
by Rahma Dhaouadi, Achraf BenMiled, Khaled Ghédira
Abstract: We propose a recommender which deals with the suggestion of suitable supplying opportunities. The established system is addressed to the handicraft women communities. It targets to respond to their needs and fit their expectations. Indeed, the recommendation mechanism is based on the final users profiles, preferences and constraints. Moreover, the adopted recommendation strategy is hybrid. It includes both the knowledge and the demographic approaches for better performance. Additionally, we proposed two recommendation algorithms in order to select and rank suitable suppliers. In order to validate our approach we designed and developed a to context ontology; multi-agent system. Technically, we developed a J2EE application based on the JSF technology. Moreover, we introduced interesting experimentation results showing that our system is accurate and novel.
Keywords: recommender; supply chain; context ontology based multi-agent system; supplier selection; supplier ranking; constraint based recommendation;.
A Multidimensional Measure of System Quality
by Kedar Bhatt, Minakshi Gupta
Abstract: With increasing adoption of banking through mobile apps, it is important to understand user's perception of system quality towards these apps. System quality has been identified as one of the system specific factors affecting user acceptance of the information system in IS literature. However, multidimensional nature of system quality has not been explored much and very few studies have focused on measuring system quality in mobile banking apps context. This study identifies sub-dimensions of system quality from literature, and it explores multidimensional nature of system quality and further confirms the validity and reliability of the multidimensional scale of system quality. The dimensions identified are reliability, ease of use, user interface, response time, security and functionality. The paper also confirms whether system quality performs better as a second-order factor in predicting user satisfaction as compared to first-order six sub-dimensional models does. The data were collected from total of 534 users of mobile banking apps in India through structured questionnaire. The questionnaire contained questions on system quality dimensions and satisfaction. The paper discusses implications for academicians in terms of measurement of system quality, and for practitioners in terms of understanding aspects of system performance from user's point of view.
Keywords: System Quality; User Satisfaction; Multidimensional scale; Mobile Banking apps; Confirmatory Factor Analysis.
Modeling Consumers Payment Behavior Towards Contactless Cards
by Vaggelis Saprikis, Maro Vlachopoulou, Angelos Markos
Abstract: Mobile payment technologies have led the development of an open and collaborative payment ecosystem, where financial institutions and merchants have provided innovative solutions to conduct business with consumers. One of these new evolving payment alternatives is contactless card that incorporates near field communication technology, enabling consumers to make everyday purchases quickly and safely especially for low-value transactions. Based on the technology acceptance model, innovation diffusion theory, and the relevant literature, nine variables
Keywords: contactless cards; behavioral intention; contactless payments; near field communication technology (nfc); technology acceptance model.
Determinants of the Success of Online Retail in India
by Vikas Kumar, Ogunmola Gabriel Ayodeji
Abstract: Indian e-commerce industry has witnessed tremendous growth in recent years, which has resulted in the emergence of a big online retail segment. Due to the enabling environment, government policies, and the rapid infrastructural and technological development, there has been an increase in the number of online retailers both established brands and starts-ups. However, this has led to a high competition in the market, where the e-tailers jostle for market share, visibility and brand awareness. For a new entrant into the industry to be successful, it has to pay attention to the factors that contributes to the success of online stores. Such determinant factors must be known to the online retailers to position then in this rapidly changing marketplace. This paper seeks to identify the most important determinants to the success of online retail in India and how these can be taken up by the retailer. Along with that, it also outlines the factors, which can lead to the downfall on an e-tailer. Technology, govt. policy and marketing channels are the most important perspectives covered in this work.
Keywords: Online retail e-Commerce B2C Internet Marketing Security.
Spatial Data Cubes based on Shared Dimensions and Neighborhood Relationship Concepts
by Rodrigo Rocha Silva, Tarik De Melo e Silva Rocha, Tiago Garcia De Senna Carneiro, Joubert De Castro Lima
Abstract: A data cube has exponential storage and runtime complexities with linearly increasing dimensionality; in addition, a spatial data cube further complicates the issue since it integrates spatial features into a data cube. In this paper, a new data cube approach, named spatial cubing, or simply S-cubing, implements two spatial indexing techniques and two spatial non-relational representations. S-cubing based on shared dimensions is the first non-relational solution designed to support spatial data cubes with continuous dimensions, resolution hierarchies and multiple spatial measures and is capable of running on multi-core computer architectures. S-cubing, based on neighbourhood relationships, implements a new data cube hierarchy algorithm using relationships among cells of a regular grid. Thus, this algorithm creates thematic maps from non-geopolitical regular areas, therein avoiding manual hierarchy definitions. A sequential version is found to be faster than a PostGIS implementation and the parallel version achieved a speedup of 13 with 24 threads.
Keywords: Spatial OLAP; Multidimensional Analysis; Neighborhood Relationship; Data Cube; Spatial Measures; Spatial Indexing; Continuous Dimensions.
DETERMINANTS OF E-COMMERCE ADOPTION IN SMALL AND MEDIUM ENTERPRISES: A LITERATURE DERIVED MODEL FOR DEVELOPING NATIONS
by Pawan Kumar, Harpreet Kaur
Abstract: The present paper aims to develop a deeper understanding of the various determinants of e-commerce adoption among small and medium enterprises in developing countries through an extensive review of 43 empirical studies on 22 developing nations. The paper reviews the research methods, models followed, countries of study and the factors affecting the adoption of e-commerce in developing nations. Through the diverse adoption factors studied in these empirical researches, a reference model has been derived to be used for similar studies in developing economies in future. The proposed model will help in addressing the issues restricting the adoption of e-commerce technologies in SMEs in developing nations in the 21st century's digital era.
Keywords: E-Commerce; ICT; TOE; DOI; SME.
Dimensions influencing Business Intelligence & Analytics Maturity: a critical analysis
by Aditi S. Divatia, Sunil Lakdawala, Jyoti Tikoria
Abstract: The importance of business intelligence and analytics (BI&A) as a capability in an organisation has grown over the years. In order to assess the state of BI&A, managers today need to identify the critical dimensions which influence the maturity of BI&A capability. A wide range of maturity models (MMs) have been developed, for the purpose of assessment of BI&A capability maturity. Managers may find it difficult to select the appropriate MM to use especially with the changing characteristics of data over time and advent of big data. Each of these models has multiple dimensions which are not necessarily exhaustive and distinct. This study consolidates the large number of dimensions found across 29 BI&A MMs in extant literature. With help of an expert panel, a set of six distinct and critical dimensions needed for assessing BI&A capability in organisations have been identified. Qualitative research tool NVIVO is used for analysis of the research articles.
Keywords: Business intelligence; business analytics; maturity; implementation; adoption; big data; capability maturity; NVIVO; dimensions; maturity model.
Are numeric ratings true representations of reviews? A study of inconsistency between reviews and ratings.
by Bidyut Hazarika, Kuanchin Chen, Muhammad A. Razi
Abstract: Consistency between review messages and ratings has been an implicit assumption of many product review studies. However, such an assumption has never been critically examined. Our study investigates the consistency between app reviews and their corresponding ratings to uncover insights on the nature of inconsistency and how that inconsistency relates to fee structure (paid or free) and product category. To examine this inconsistency, we collected data from the iTunes store. We used sentiment mining to measure the discrepancy between the review sentiment and the ratings of the app. Our findings show that the assumption of consistency between product ratings and product reviews do not always hold. Findings support the existence of inconsistency, but not for all product categories. As the groups of apps differ in their consistency patterns, future researchers are recommended not to lump all apps together. Doing so, could obscure the distinctive difference among these apps, thereby offering less insight from the collected data.
Keywords: Product ratings; product reviews; review sentiment; app versions; iTunes; app categories.
Customer Relationship Managements linking to Export Performance: the Mediating Role of Relational Capital, in Iran
by Zahra Amin Afshar, Rohollah Bayat, Mohsen Hooshangi
Abstract: Nowadays relational capital and customer play important role in developing gaining competitive advantages, so, the purpose of this study is evaluating CRM on manufacturing firms export performance. The study is an extension of the work linking relational social capital, customer, and firm export performance. In this line we applied relational social capital as a moderating variable between CRM and customer satisfaction, orientation and participation. This research is based on structural equation modelling and the data were collected from 134 manufacturing firms in Qazvin province industrial parks and analysed by partial least square (PLS) method. Empirical results confirm that there is positive impact among CRM and customer satisfaction, orientation, participation. And also, these three dimensions of customer positively influence export performance. Relational capita has direct positive impact just on customer satisfaction, but the mediator role of relational capital rejected completely. The results help Iranian managers to improve their export performance by developing CRM in their international marketing.
Keywords: Export Performance; Customer Orientation; Customer Relationship Management; Customer Satisfaction; Relational Capital; Iran Manufacturing Firms.
Students Perceptions in Software Modelling using UML in Undergraduate Final Year Projects
by Kanos Matyokurehwa
Abstract: The paper sought to establish the students' perceptions in software modelling using UML in their final undergraduate projects. The research was done at the University in Botswana. The research used a mixed methods approach, an open ended questionnaire was administered to the participants. A sample size of 140 participants that met the inclusion criteria was used in the research. The key findings from the research were that students find modelling using UML to be challenging. Some of the project supervisors assigned to assist students with their projects was not knowledgeable with the student's project topic.
Keywords: Perceptions; Knowledge; Software Modelling; Degree Programme; UML; Computing Projects; Students.
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.
Multi Level SLA Violation Based Resource Allocation in Cloud using Kernel Fuzzy C Means with Aid of EABC
by A. Kannaki, J.M. Gnanasekar
Abstract: In our proposed work we are considering four types of agent such as monitoring agent, coordinator agent, user agent and violation agent. Initially, user agent wants to generate the resource in cloud based on the SLA properties and coordinator agent is verifying the request type and SLA properties. The violation of the SLA is a major aspect of cloud computing and the violation leads to the reduction of customer satisfaction level and further affects the cloud provider leading to penalty. Initially the available resources are grouped by kernel fuzzy C means clustering algorithm (KFCM). Then monitoring agent report the resource list to the coordinator agent. Based on the resource list, the coordinator agent allocates the optimal resource with the help of enhanced artificial bee colony algorithm. The performance of the proposed work is evaluated by profit, penalty, cost, execution time and successful execution rate.
Keywords: Resource allocation; monitoring agent; coordinator agent; user agent; Violation agent; kernel fuzzy c means clustering; Enhanced Artificial bee colony.
'From cloud to the board' - identification of triggers
adoption in Brazilian companies
by Luis Hernan Contreras Pinochet, Fabiana Robles Rodrigues Alves, Evandro Luiz Lopes, Eliane Herrero, Gabriela De Brelàz
Abstract: This article analyses direct and indirect effects of the behavioural intention to use model on the perception of managers of companies located in Brazil for the use of cloud computing technology. The main contribution of this study is to understand how companies accept and encourage the use of this technology and how users relate to this new mechanism. The theoretical model used was adapted from Wu (2011), with extension to various models of cloud computing delivery. This empirical research was carried out through a survey, consisting of a sample of 307 managers who play key roles in IT decisions in companies in Brazil. The results demonstrated that there is greater concern with skills that managers and users must possess for the use of cloud computing technology, as well as aspects related to the influence that the market has on the acquisition of new solutions.
Keywords: Cloud computing; Technology assessment; Managers; Modeling of Structural Equations.
The Influence of Internal-External Factors on the Cloud Computing Adoption
by Rakesh Raut, Bhaskar Gardas, Vaibhav Narwane, Pragati Priyadarshinee, Balkrishna Narkhede
Abstract: The present study integrates external and internal factors for measuring the performance of the organisation through the adoption of cloud computing activities. External factors consisted of perceived IT security risk, risk analysis, and social influence; whereas, trust, technology innovation, and industry usage were considered as internal factors. A statistical approach, namely structural equation modelling, was employed for the analysis of the data obtained through a questionnaire survey. The findings showed that external factors hurt cloud computing adoption (CCA), whereas internal factors and perceived ease of use have a positive impact on CCA. This investigation is intended to guide the policy and decision makers in formulating the efficient strategies/policies for the effective implementation of CCA.
Keywords: Cloud computing adoption (CCA); internal factors; external factors; organisational performance; structural equation modelling.
Use of mobile wallet among consumers: underlining the role of task-technology fit and network externalities
by Chinmay Baxi, Jayesh D. Patel
Abstract: Research on mobile payments is emerging as a separate research area in information systems. Previous literature indicates that existing theoretical models do not extend the empirical inquiry into technology fitment domain to understand the user behaviour better. Integrating users requirement of technology, with network externalities, risk, trust, and promotion, to check mobile wallet usage of Gujarats users. To empirically test the hypothesised model, a total of 500 samples were collected using online and offline structured survey. Structural equation modelling technique was performed. The findings of the study indicate that all the hypotheses were supported and it has theoretical and managerial implications.
Keywords: mobile wallet; network externality; structural equation modelling; SEM; task-technology fit; TTF.
An Overview of User-Interactions in Exploratory Search: Theoretical Foundations, Techniques, and Research Issues
by Vikram Singh
Abstract: In the 21st century, an individual is enclosed with data plethora, which carries insights and knowledge. Though, to seek relevant objects, a user with uncertain information needs, opportunistically adopt several strategies, e.g., analytical search, search by analogy, etc, to aggregate the knowledge. These exploratory conversations are driven by focused-search and exploratory-browsing. In this paper, a critical study on various aspects of user-interactions in exploratory search is conducted, to trace the trends and the viability of the existing techniques and eventually to uncover the inherent limitations. It is evident that, despite the recent developments, a search task is mainly constrained due to 'insufficient means to specify user-search', 'inability to understand search-intent evolutions' and 'limited support for navigation towards unexplored-data'. The article assert that, proactive modelling of search-intents for automatic data exploration and visualisation are pivotal to deal highlighted issues and be a prospective trend to design the personalised data exploration techniques.
Keywords: Big Data Analytics; Exploratory Search; Human Information Interaction; Interactive Data Exploration; Information Processing; Information Visualization.
Web 2.0 Technologies Adoption Barriers for External Contacts and Participation: A Case Study of Federal Establishment of Africa
by Habib Ullah Khan, J.O.Y. AGBAHAKHOMON ARUYA, Asif Q. Gill
Abstract: Ever since the evolution of Web technology in nineties, the web traffic got subjected to many developments. Web 1.0 and 2.0 are some of the innovations that made the world as a global village and increased the communication among various players in the world. Compared to the former, the latter has more features that opened gates for communication networks across the world. In spite of the sea change that Web 2.0 brought among the federal establishments of Nigeria, full level of adoption is did not occur due to numerous hindrances. The study outcome revealed that majority of the federal establishment does not use the technology for external collaboration. The research also shows that majority of the establishments still use collaboration tools such as letters, telephone and email as means of collaboration with external audience. This is because of the hindrances that are not facilitating the smooth flow of technology adoption.
Keywords: Federal Establishment (FE); Information Technology (IT); Nigeria; Barriers; Information and Communication Technology (ICT); Web Technology; Enterprise Web 2.0.
Sentiment Analysis of Product Reviews using Weighted Distance-based Whale Optimization assisted Deep Belief Network
by Hema Krishnan, Sudheep Elayidom M, Santhanakrishnan T
Abstract: This paper proposes a new sentiment analysis of product review based on intelligent techniques. The proposed model involves six stages: pre-processing, keyword extraction, and its sentiment categorisation, semantic word extraction, semantic similarity checking, feature extraction and classification. Initially, the MongoDB documented tweets are subjected to pre-processing steps like stop word removal, stemming, and blank space removal. Further, the keywords are extracted from the pre-processed tweets. With respect to extracted keywords, the existing semantic words are extracted after categorising the sentiment of keywords. To the next, the semantic similarity score with the keywords is measured. The upcoming stage is the feature extraction, which uses two holoentropy measures like Joint holoentropy, and Cross holoentropy. The classification of the extracted features is done using a deep learning classifier named DBN, in which the optimised activation function is done by WD-WOA. Finally, the enhancement of the proposed model over the conventional models is evaluated through an effective comparative analysis in terms of positive and negative performance measures.
Keywords: Product Reviews; Sentiment Analysis; Pre-processing; Semantic Similarity; Holoentropy; Deep Belief Network; Optimization.
Transforming Supply Chain Network And Logistics Using Blockchain - A Survey
by Sreerakhi V, Balagopal N, Anuraj Mohan
Abstract: The supply chain is the fastest growing sector of business technology. As it grows day by day, the difficulty of handling vast amount of transaction records thus increases. To effectively manage the supply chain, the participants in the system need to record the price, quantity, location, date, and other pertinent details. In addition to that the asymmetric information transfer in the production process, limitations of the quality monitoring, losses from the counterfeit market and the self-interests of supply chain participants are the major challenges affecting the supply chain management system. Even a small change in the production process can have an enormous smash on the financial growth, trust, etc. of the supply chain system. This survey aims to study how the blockchain technology helps supply chain networks to overcome these challenges. This survey discusses the current status of blockchain technology and its potential benefits. This survey also discusses various implementations on blockchain-based supply chain networks and how those implementation frameworks solve the challenges in the traditional supply chain system.
Keywords: Blockchain; Distributed Ledger; Manufacturing Supply Chain; Food Supply Chain; Pharmaceutical Supply Chain.
A new process for mining spatial databases: combining spatial data mining and visual data mining
by Mohammed Midoun, Hafida Belbachir
Abstract: Spatial data mining (SDM) is a complex process of automatic exploration of spatial data. Unlike the SDM process, the visual data mining (VDM) process uses visualization for exploratory purposes at all levels of the knowledge discovery process. In this article, we propose a new process for mining large spatial databases. This consists of combining the process of SDM and VDM in one and the same global approach. On the other hand, we propose, a methodological study, trying to combine the methods of SDM with several techniques of visualization. For each applied SDM method, we use several visualization techniques and compare the performance of these techniques. To validate our approach, two case studies are proposed. The first is to apply the proposed data mining process to the analysis of electoral results in Algeria. The second case study will involve applying the process to urban planning in the Mostaganem department in Algeria.
Keywords: Spatial Data Mining; Visual Data Mining; Geographic Information System; Visual Analytics.
The Antecedents of Tourists Continuous Usage Intention of Self-Service Technology in Taiwan
by Thanh-Binh Phung, Cedric Hsi-Jui Wu
Abstract: Self-service technologies (SSTs) have been widely implemented in tourism and air transport industry. SSTs provide a range of services for customers by changing the way tourists to interact with firms. Despite a growing number of publications about the adoption and usage of SSTs, the literature on the antecedents that influence the use of these SSTs by customers is rather limited. In this research, the authors developed the customer technology acceptance model that based on the TAMs and perceived control to explore the technology acceptance of customers in service. Using data from surveys of tourists in Taiwan (n = 390), the extended theory was tested by using structural equation model methods (SEMs). The results show that tourists are still hesitant to use SSTs because of their feelings regarding risks in SSTs when using SSTs. The findings provide a more comprehensive picture of how to implement self-service technologies strategy for service marketing.
Keywords: Self-service technologies; perceived control; continuous usage intention; customer Satisfaction; Taiwan.
Artificial Intelligence Databases: Turn On Big Data of the SMBs
by Manivanan Pachippan, Prabha Dhandayudam, Balasubramanian Kannan
Abstract: The small and medium businesses are working hard to make sense on the information data that has been collected from network sources and to translate it into tangible results. In fact, the major data growth trends and shifts in information. Big data have coined to generate and extremely more complex to associate in business databases. Most researcher work focuses on the relational database that requires lots of data processing. Thats the reason, artificial intelligence (AI) can achieve input and ability to extend NoSQL document database depending on data type. This research recognises documented MongoDB as real-time access to data stored on various storage platform for all sizes of business. This paper proposed NoSQL-MongoDB model with data shared process embedded with AI and machine learning at the system-level by virtue datasets from the big data analytics. This methodology contributes a narrow view of database management turns on big data challenges for SMBs.
Keywords: Small and Medium Business; Non-Relational; Big Data; NoSQL-MongoDB; Database Management System.
Competitive Intelligence Process and Strategic Performance of Banking Sector in Pakistan
by Nadia Hanif, Noman Arshed, Hasan Farid
Abstract: Resource-based view (RBV) and knowledge-based view (KBV) of the firm are the key viewpoints of strategic planning for accomplishment of superior strategic benefits and sustainable competitive advantage via creating valuable competencies. Competitive intelligence (CI) process is a mechanism to achieve superior long-term strategic performance leading to sustainable competitive advantage under the umbrella of RBV and KBV. This study surveyed 200 banking officials from Lahore, Pakistan using the questionnaire which was pre-tested for validity both face and content. The instruments used in the questionnaire successfully converged to desired latent variables entitled as strategic performance, planning and focus, information gathering, analysis, communication, cultural awareness and process structure. The results showed that all the components of CI process significantly affect the strategic performance of the banks. Top management may consider the implementation of formal CI unit as this study concluded a positive significant impact of CI process on strategic performance of banks. In addition, banks top management can organise CI awareness programs which can improve participation of employees at all phases of CI process.
Keywords: Competitive Intelligence Process; Culture and awareness; Process and structure; Strategic benefits; Banking Sector; SEM.
A theory grounded framework of information behaviour of SMEs on Emerging Information Communication Technology (EICT) adoption decision making
by Sunday Chinedu Eze
Abstract: Although studies have made significant efforts to study information behaviour using numerous model and extended ones, many have extrapolated the findings of others as if small and medium enterprises (SMEs) operate in the same way other sectors do. This has slowed down the development of an integrated framework aimed at understanding the information behaviour of SMEs. The paper, examines information behaviour of SMEs by explicitly exploring the determinants of perceived information need for EICT adoption by SMEs, information source selection for EICT adoption by SMEs and factors influencing information sources selection for new ICT adoption by SMEs. Qualitative approach was adopted with the use of unstructured and semi-structured interviews with 20 participants drawn purposeful from Luton directories. The study developed an integrated framework underpinned by the TOE framework and helped identify the critical determinants of perceived information need, information sources selection when the need for EICT arises and factors influencing SMEs information source selection for EICT adoption decision-making.
Keywords: EICT; TOE; information behaviour; SMEs; ICT adoption; decision-making.
Intention to Use Mobile Banking Services: Extended Model
by Abdelbaset Alkhawaldeh, Ali Matar, Mahmoud Al-rdaydeh
Abstract: This research aims to evaluate the factors influencing the use of mobile banking by the customers. The extended model of this study was based on the technology acceptance model (TAM). Concerning this, the current research utilised two constructs of the TAM and integrated three new constructs into the model within mobile-banking context. The survey collected data from 205 mobile users who had their own experiences with mobile banking services provided by private banks in Jordan, these data were analysed using structural equation modelling (SEM). The results of this study demonstrated that perceived ease of use, perceived usefulness, perceived awareness, perceived bank credibility, and reference group influence had a positive impact on the use of mobile banking services by the customers. Banks should take these factors into account to promote positive perceptions of mobile banking to the customers.
Keywords: perceived ease of use; perceived usefulness; perceived awareness; perceived bank credibility; reference group influence.
Predicting Student Performance: A Classification Model Using Machine Learning Algorithms
by Esra’a Alshdaifat, Aisha Zaid, Ala’a Alshdaifat
Abstract: With the increasing availability of educational databases, extraction of interesting patterns and relationships from such data becomes extremely attractive and challenging. Discovering implicit patterns related to student performance is potentially helpful to enhance student achievement. In this paper, a student performance prediction model is generated utilising machine learning algorithms. The central idea is that identifying the dominant features that affect student performance results in generating an effective student performance prediction model. In order to achieve this goal different feature selection approaches are considered. The reported experimental results indicated that the effectiveness of student performance prediction model is significantly affected by the dimensions featured in the considered dataset.
Keywords: Student Performance; Classification; Grade Prediction; Educational data; Pattern Extraction; Feature Selection.
THE ROLE OF COGNITIVE ABSORPTION IN THE EXPERIENCED USERS BEHAVIOR TOWARDS EMAIL ADVERTISEMENTS
by A.K.S. Sukumaran
Abstract: The study provided a theoretical model on the experienced users behaviour towards e-mail advertisements by positing that cognitive absorption is a key determinant of the frequent internet users behavioural belief set consisting of product information, financial rewards and, perceived intrusiveness. The product information and the financial incentives positively influenced the user to respond to the e-mail advertiser. However, perceived intrusiveness did not disturb the response of the experienced user towards the e-mail advertisements, supporting the findings of the previous studies that the experienced online users behaved differently and responded favourably to internet usage as they were more in control with the system.
Keywords: Email advertisements; cognitive absorption; frequent internet users; product information; financial rewards; perceived intrusion.
Underlying Profits and Financial Reporting Quality in Australia
by Indra Abeysekera, Yiru Yang
Abstract: This study examines Australian Securities Exchange (ASX) 200 listed firms that reported underlying profits from years 2009 to 2012 to determine whether the underlying profits reflect accounting-based and market-based financial reporting quality. The panel-data modelling results show that there is no relationship between underlying profits and financial reporting quality. The study finds that underlying profits are positively related to earnings management, suggesting that firms engaging in opportunistic accrual management aggressively report underlying profits. The study contributes to the debates about utility of underlying profits, by empirically informing that underlying profits do not contain value-relevant information for investor decision-making.
Inspecting the role of Software as a Service (SaaS) in public sector organizations with the extension of technology organization-environment (TOE) framework
by Yanal Kilani
Abstract: This study aims to investigate factors propel use of software as a service in public sector organisation. Therefore, an amalgamated information system (IS) model was developed using TOE framework that underpinned technological, organisational and environmental factors. In addition to that the moderating role of compatibility was tested between intention to adopt software as a service and actual use of software. Structural equation modelling (SEM) approach was used for inferential analysis. Results indicate that altogether technology competency, top management support, awareness, coercive pressure, normative pressure and mimetic pressure explained substantial variance in intention to adopt software as a service. Effect size analysis (f2) revealed that awareness and technology competency were the most influential factors in determining employee intention to adopt software as a service. Finally, it is suggested that managers and policy makers should focus on awareness and compatibility in order to enhance the actual use of software in organisation.
Keywords: Keywords: TOE-Framework; Technological Factor; Organizational Factor; Environmental Factor; Awareness; Compatibility; Structural Equation Modeling.
Regression and Decision Tree Approaches in Predicting the Effort in Resolving Incidents
by Sharon Christa, V. Suma, Uma Mohan Mokashi
Abstract: IT service management plays a key role in software maintenance. Service management offers the customers a platform to raise the incidents that needs to be resolved. This papers is a comprehensive analysis performed on research in the area of production support. Lacunas are identified in different areas of production support services. The necessity of a generalised proactive model that can predict the effort required in closing incident tickets are identified. The paper further presents the scope of integrating machine learning approaches to predict effort in an incident management system of production support. Two different approaches are considered in modelling namely, regression-based and tree-based modelling. In tree-based modelling, basic decision tree and random forest models are used along with multiple linear regression model. In order to build the model, real-time dataset is used. The models are verified using a real-time test dataset. The models being dataset dependent did not generalise and converge well due to which, the possibility of developing other models using different machine learning techniques are discussed.
Keywords: Production Support; Effort Prediction; Decision Tree; Random Forest; Multiple Linear Regression; Incident Management; Tickets; Incident Logs; ITIL; Time to Resolve.
Antecedents and Consequences of Effective Preparation of Financial Statement: An Empirical Research of Listed Companies in Thailand
by Nattawut Tontiset
Abstract: The objective of this research is to examine both antecedent and consequences of effective preparation of financial statement of Thai-listed companies. Accountant capability, accounting information system (AIS) competency, and corporate governance (CG) awareness are assumed to become the antecedents of effective preparation of financial statement. Furthermore, the consequences of effective preparation of financial statement are corporate sustainability. The listed companies in the Stock Exchange of Thailand (SET) are samples of the research. A mail survey procedure via the questionnaire was used for data collection from chief accountant officer. The overall results indicate that accountant capability, AIS competency, and CG awareness have a positive significant effect on effective preparation of financial statement. Moreover, effective preparation of financial statement including both timeliness and understandability has a positive significant effect on corporate sustainability. The results reveal that firm should develop accountant capability, AIS competency, and CG awareness in order to build effective preparation of financial statement and links to corporate sustainability. Overall, the results of this research contribute to both chief accounting officer and accounting practitioner to emphasise on develop and support generating effective preparation of financial statement in order to generate accounting information for making decision.
Keywords: financial reporting reliable; accountant professional ethics; AIS quality; audit committee effectiveness; audit firm quality.
Evaluating Web-Based Brainstorming for Design Thinking in Businesses
by Parag Uma Kosalge, Suzanne Crampton, Ashok Kumar
Abstract: Design thinking is increasingly used in businesses to find and maintain a competitive edge in the marketplace. Brainstorming is a major part of the design thinking process and critical for its success. Web-based brainstorming tools can enable the process beyond the organizational and geographical boundaries, and across time. However, they do not find much mention in the literature. A study of over five hundred users identifies three business areas important for brainstorming, including employee networking, promotions and marketing, and production and operations. Statistical evidence shows no change in user perceptions over the years. This research is one of the few recent academic works that shows a relationship between importance and performance, previously assumed to be independent. For brainstorming web app, the relationship is found to be continuously increasing. The importance-performance analysis framework can also be used as a tool for decision-making by businesses and technology providers of web-based brainstorming.
Keywords: Brainstorming tools; adoption; web apps; importance; performance; design thinking; Information systems; Business.
Product weighted taxonomy extraction using Twitter
by Zaki Malik, Erfan Najmi, Khayyam Hashmi, M. Mustafa Rafique, Abdelmounaam Rezgui
Abstract: Social networks and microblogging Web sites such as Twitter have changed the face of the consumer product market. Nowadays, even before a new product comes to the market, or is to be announced, like at an Apple or Google event, users start the rumors/talk about the product design or specifications, and their expectations of it. With all this discussion, it is not only the product which effects the future success of the product, but various other factors which can directly or indirectly influence the users perspective. In this work, we present an approach to extract the most important concepts related to a product, being discussed on Twitter. We believe that this weighted taxonomy can be used to predict the success of the product even before the official release, and align marketing resources, etc. in a beneficial manner.
Keywords: Social Networks; taxonomy extraction; marketing.
IMPLEMENTATION OF LEAN AND GREEN SUPPLY CHAIN IN MEDIUM SCALE AUTOMOBILE INDUSTRIES USING AHP, VIKOR AND FUZZY VIKOR
by Parthiban Palanisamy, S. N. Sathiya Narayana, R. Dhanalakshmi
Abstract: For several years manufacturing industry has been thriving in India and one among this is automobile industry. Since there is increasing demand, several industries have adopted various techniques to thrive this field. This project concentrates on the implementation of the lean and green supply chain in the medium scale automobile industries. The critical factors are found out based on experts' opinion and inferences through questionnaires sent to the industries. The importance and the levels of the factors are taken from interpretive structural modelling. Using these levels, the critical weights of each factor are obtained through analytic hierarchy process (AHP). The critical weights are used in VIKOR and fuzzy VIKOR, to find out the performance of the industries. The questionnaires are used for obtaining the critical factors and for the input in VIKOR and fuzzy VIKOR to rank the industries and thus further improvements can be made.
Keywords: Lean and Green Supply Chain; AHP; VIKOR; Fuzzy VIKOR.
Data Quality Challenges in Educational Process Mining: Building Process-Oriented Event Logs from Process-Unaware Online Learning Systems
by Rahila Umer, Teo Susnjak, Anuradha Mathrani, Suriadi Suriadi
Abstract: Educational process mining utilizes process-oriented event logs to enable discovery of learning practices that can be used for the learners advantage. However, learning platforms are often process-unaware, therefore do not accurately reflect ongoing learner interactions. We demonstrate how contextually relevant process models can be constructed from process-unaware systems. Using a popular learning management system (Moodle), we have extracted stand-alone activities from the underlying database and formatted it to link the learners data explicitly to process instances (cases). With a running example that describes quiz-taking activities undertaken by students, we describe how learner interactions can be captured to build process-oriented event logs. This article contributes to the fields of learning analytics and education process mining by providing lessons learned on the extraction and conversion of process-unaware data to event logs for the purpose of analysing online education data.
Keywords: Learning analytics; process mining; quiz-taking behaviour; learning management system; education data; process instance; data quality.
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.
Conceptualization for Mobile Commerce Adoption in SMEs: A Perspective of Developing Countries
by Ngoc Tuan Chau, Hepu Deng
Abstract: This paper presents a comprehensive review of the related literature on organizational m-commerce adoption with the use of an iterative methodology for reviewing, analyzing and critically assessing the related literature Such a review leads to the development of a conceptual framework for a best-fit explanation on the critical determinants of m-commerce adoption in small and medium-sized enterprises (SMEs) in the context of developing countries Such a framework can overcome the limitations encountered in the previous organizational m-commerce adoption research It sheds light on four important groups of factors for better understanding the critical determinants for organizational m-commerce adoption, namely technological factors, organizational factors, environmental factors, and managerial factors The study contributes to organizational m-commerce adoption research by extending previous works on organizational m-commerce adoption with the development of a comprehensive conceptual model from the perspective of developing countries for better exploring the critical determinants of m-commerce adoption in SMEs.
Keywords: Critical determinants; Mobile commerce; Technology adoption; SMEs; Developing countries.
Provide a Model for the Success of Information Systems in Sports Organizations
by Mehdi Salimi, Mohsen Tayebi
Abstract: The purpose of this study is to provide a model for the success of information systems in sports organizations. This research is based on the modeling of structural equations based on the conceptual model derived from the DeLon and McLean research. This model consists of 6 variables, system quality, information quality, service quality, intention to use, user satisfaction, and Net benefits, which are derived from Sirsat and Sirsat research. In order to implement the model, the statistical population was comprised of all the staff of the departments of sport of Iran. After data collection, the model constructs were modified using the model of the measurement model. In the final stage and based on the collected data, the conceptual model was implemented that this model had a very bad fit, which after the implementation of necessary reforms, the model of the success of IS in sports organizations was presented and confirmed.
Keywords: Success Model; Information; IS; Sports Organizations; Structural Equation Modeling.
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.
Effects of Perceived Risk on Intention to Use Biometrics in Financial Products: Evidence From a Developing Country
by Sandra Patricia Rojas-Berrio, Oscar Robayo, Laura Lorena Soto Beltrán
Abstract: To establish if the usefulness and benefits of biometrics exceed consumers perceived risk, this research assessed the impact of perceived risks on the intention to use biometric technology by consumers of financial products in Bogota, Colombia, adapting the Technology Acceptance Model (TAM). The design includes, first, a qualitative stage with 10 in-depth interviews. Second, a survey was applied to a sample of 410 participants. Results showed users are willing to adopt biometrics in banking if they find it useful and if they have a positive perception regarding the capacity to guarantee transactions and to positively identify the user in the system (risk-free), which are mostly time, convenience and social risks. The findings-conclusions have marketing implications for academic researchers, financial services companies and professionals that take part in the design of this technology, who may propose improvements to the products and streamline management and communication processes aimed at the consumer.
Keywords: biometric technology; consumer behaviour; financial sector; intention to use; perceived risk; Technology Acceptance Model.
The effect of absorptive capacity on innovation: the mediator role of human capital , telecommunications companies (Orange, Zain, Umnia) in Jordan
by Shadi Abualoush
Abstract: The aim of this paper is to test the mediator effect of human capital among the relationship between absorptive capacity on innovation in telecommunications companies (Orange, Zain, Umnia) in Jordan, the approach suggested by Baron and Kenny,(1986) was conducted, in addition to descriptive statistics that provide a background about the respondents. The findings indicate that absorptive capacity relates positively to innovation , human capital emerged as having the strong effects on innovation , Moreover, all absorptive capacity dimensions had positive significant effects on human capital , The results also support the argument that human capital was play mediator role in absorptive capacity and innovation. The present study provides managers with an empirical proof that possessing external knowledge through absorptive capacity seems to help reinforce their ability to innovation. In addition, possessing strong human capital effective will motivate and lead more innovation.
Keywords: absorptive capacity; human capital ; innovation.
CAPTURING NON-FINANCIAL INFORMATION IN INTEGRATED REPORTING
by Tanya Kumar, Theresa Nithila Vincent
Abstract: In the contemporary business scenario, Integrated Reporting is a transformational form of corporate reporting. Integrated reporting provides material and substantial information about an entitys prospects, governance, strategy and actions that serve as a reflection of social and commercial viability within the holistic environment in which it operates (IIRC, 2013). Thus in integrated reports, along with financial information the critical non-financial aspects that affect the reputation, performance and sustainability of the firm are also required to be reported by companies. While regulations are instituted for compulsory divulgence of non-financial information as part of Annual Reports, there is a lot of ambiguity regarding the non-financial items to be included and the manner of reporting. This paper delineates the non-financial capital components for disclosure in integrated reports. It also discusses the current practices of Integrated Reporting world over, which will help organisations gain clarity in presenting the non-financial items under different heads.
Keywords: Integrated Reporting; Non-financial Capital; International Integrated Reporting Council; Global Reporting Initiative.
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.
Mediating Role of Trust in Internet Banking Acceptance
by Oluyinka Solomon
Abstract: Technology acceptances have been an area of research in different context globally. However, studies on the mediating role of trust in the relationships with the technology factors and internet banking acceptance inadequate. Moreover, component variance analysis with adoption of analysis of moment structures (AMOS) suggested relevant to prediction studies. This study analyzed the mediation role of trust in internet banking acceptance. A quantitative and component factors analysis study, properties in SPSS and AMOS used to analyse a total of 559 bank customers in Nigeria. An initial total of 67% variance achieved in the casual effect and a total of 73% variance explained achieved for the mediation role of trust internet banking, thus, implied that trust contributed a total of 6% variance to the model. Findings in this study may assist practitioners strategies on acceptance of the technology. This study may be replicated in other locations with a different statistical tool.
Keywords: Mediation Trust Technology Internet Banking Variance Analysis.
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.
Designing a Model of Antecedents of Entrepreneurial Orientation and Behaviour (Case Study: Administrative Agencies in Kerman Province)
by Sima Mirkamandar, Malikeh Beheshtifa, Masoud Pourkiani, Ayob Sheikhy
Abstract: This present study aims to design a model of antecedents of entrepreneurial orientation and behaviour in the administrative agencies in Kerman province, Iran. Accordingly, first, antecedents of entrepreneurship were identified through exploratory studies and a survey of those experts in the topic using the Delphi technique, and then, identified antecedents were presented in a model and tested in the target statistical population. In the present study, a model of antecedents of entrepreneurial orientation and behaviour was presented. In the model, three sets of independent variables, including organisational (eight variables), individual (four variables) and environmental factors (six variables), were considered. They are of factors directly affecting entrepreneurial orientation and behaviour. Then, based on this model and the data obtained from the questionnaire, the relationship between the antecedents of entrepreneurship and the entrepreneurial behaviour and orientation were investigated using the structural equation modelling approach. The results show that there is a relationship between antecedents of entrepreneurship and entrepreneurial orientation and behaviour in the administrative agencies in Kerman province. Moreover, there is a relationship between organisational, individual and environmental factors and entrepreneurial orientation and behaviour.
Keywords: Design; Antecedents; Organizational Factors; Individual Factors; Environmental Factors; Entrepreneurial Orientation and Behavior.
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.
Relationships between website quality and trust dimensions in online shopping: An empirical study in Indonesia
by Christian Manu, Fuad Fuad
Abstract: We examine the relationship between the website quality dimension (specific content and technical adequacy) and trust dimension (benevolence, integrity, and competence) in online shopping activities through e-commerce websites in Indonesia. The sample comprised of 634 respondents who filled out an online survey questionnaire. Using structural equation modeling statistical tests, this study finds that specific content has the most important role in increasing consumer trust for online shopping. Competence as a dimension of trust also has a role in increasing the consumers intention to shop online and influences consumers to engage in online shopping. This study provides an understanding of the website quality and trust dimensions that have a dominant influence on online shopping activities; It also provides a website development model that focuses on priority dimensions to increase online shopping activities.
Keywords: specific content; technical adequacy; benevolence; integrity; competence; online shopping.
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.
The prediction of online shopping consumers attitude based on certain statements of Consumer and Marketing factors with reference to Post Graduate Students in Coimbatore City.
by R.RAJENDRA KUMAR
Abstract: This study has analysed the statements of Consumer and Marketing, its impact on attitude of online shopping consumers. The statements taken for the study with respect to Consumers and Marketing factor are Privacy, Security Time Savings Convenience (Conv),Customer Reputation, Price, Product Promotion (Promotion), customer Service (CS) and ease of use respectively. The 752 respondents had been selected through purposive and Simple Random Sampling. The respondents are the Post Graduate students studying in various Arts, Science and Engineering colleges. All the components have been grouped under two and the model fit was ensured through SEM. Further, the regression was used to find out the relationship among the various components of Consumer and Marketing with attitude. The final results shows that all the statements have significant influence on prediction of attitude except few statements which were explained in a very comprehensive manner.
Keywords: Online shopping; Privacy; Security; Time Saving; Convenience; Price; Product; Promotion and Customer Service.
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.
Impacts of Trust Factors and Task Technology Fit on the Use of E-Payment Systems in Nigeria
by Aderonke A. Oni, Senanu Okuboyejo, Mosunmola Akinbode, Ariyo A. Adebiyi, Olatunji Okesola, Charles Ayo
Abstract: This study investigates the impacts of initial trust model, knowledge based model and task technology fit on the usage behaviour of retail e-payment systems users. Four theoretical models were conceptually integrated to have an holistic view of factors influencing e-payment usage in Nigeria. A survey instrument was designed and administered to 350 respondents out of which 258 valid responses were obtained for statistical analysis. Variance-based structural equation modeling (SEM) technique was employed with the use of SmartPLS to clarify the relationships amongst the study constructs. Result of the analysis revealed that task technology fit and performance expectance are important influencing factors although, social influence and initial trust prove most influential to behavioral intention towards e-payment use. Financial institutions need to be more apt in commitments to promises in rendering services. Stability of the banking institution and the quality of services offered by the financial institutions are needed to establish trust.
Keywords: e-payment; initial trust; knowledge-based trust; Nigeria; PLS-SEM; task technology fit.
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.
Global and Local Perspective on the Usage of Mobile Wallet
by Srikrishna Madhumohan Govindaluri, Ali AlBadi, Sujeet Kumar Sharma, Asharul Islam Khan
Abstract: Mobile wallet technology offers the advantages of convenience, flexibility, and lower cost in mobile payments. The current study reviews the mobile wallet literature in different countries in order to investigate drivers and barriers in the usage of mobile wallet in Oman. Open-ended interviews and secondary resources have been employed to identify mobile wallet drivers and barriers, and understand the present status in Oman. Commonly reported barriers in Oman include security, awareness, dedicated merchants, and financial supports. The acceptance and usage of mobile wallet among consumers requires further investigation in particular with respect to developing countries like Oman. This may be one of the first attempts to explore the research conducted in Mobile payments across a number of emerging economies and investigate the service provider perception with regards to mobile wallet in Oman.
Keywords: mobile wallet; mobile payment; e-wallet; e-payment; e-purse; mobile wallet acceptance; mobile wallet adoption; mobile wallet usage.
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
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.