International Journal of Business Information Systems (231 papers in press)
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.
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.
'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.
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.
Knowledge Sharing Behaviour on Employee Performance: A Mediating Role of Employee Engagement among Teaching Staff of Malaysian Private Universities
by Mohammed Sani Abdullahi, Kavitha Raman, Solarin Adebola Sakiru, Umair Ahmed, Ummi Rahma Shehu, Hauwa'u Hassan Nashehu
Abstract: The purpose of this paper is to investigate the effect of knowledge sharing behaviour (KSB) on employee engagement (EE) and employee performance (EP) among teaching staff of Malaysian Private Universities (MPU). However, studies of such have been given less attention within the context of MPU. Therefore, this paper highlights the issue through a systematic review of previous literature on the subject matter. The study outcome indicated that KSB has a significant effect on EP, and EE partially mediates KSB and EP relationship in MPU. The research suggests that university management should focus and invest in KSB culture as a tool to improve EE positively in order to accomplish and maintain EP. This paper has made a significant contribution to the existing body of knowledge and operationalisation of KSB, EE and EP literature which could help to develop theory and model in the field of work performance.
Keywords: employee engagement; employee performance; knowledge sharing behaviour; Malaysian private universities; social exchange theory.
ERP Systems Transition in Small Manufacturing Companies: The Tale of Two Countries
by Mohammad Daneshvar Kakhki, Vidyaranya Gargeya, Reza Mousavi
Abstract: An increasing number of small and medium-sized enterprises (SMEs) are modernising their legacy systems by replacing them with enterprise resource planning (ERP) solutions. This transition process is challenging and prone to failure. SMEs, especially those in developing countries are more likely to suffer from these challenges due to their limited access to financial and human resources. Therefore, this paper investigates the ERP transition process in SMEs of developed and developing countries to address challenges and success factors. This paper uses two case studies to gain a deep understanding of ERP transition. The research shows that the fit between ERP and business processes plays a critical role in the success of the transition project. Also, SMEs in developing countries, compared to developed countries, face more challenges in the transition process due to a lower level of prior experience and limited availability of ERP systems and consultants.
Keywords: ERP transition; small and medium-sized enterprises; SMEs; ERP implementation; ERP retirement; developed countries; developing countries.
Association rules mining for job seekers' profiles based on Personality traits and Facebook usage
by Sunday Adewale Olaleye, Dandison C. Ukpabi, Olayemi Olawumi, Donald D. Atsa\\\\'am, Richard O. Agjei, Solomon Sunday Oyelere, Ismaila Temitayo Sanusi, Friday J. Agbo, Oluwafemi S. Balogun, Saheed A. Gbadegeshin, Ayobami Adegbite, Emmanuel Awuni Kolog
Abstract: Personality traits play a significant role in many organisational parameters, such as job satisfaction, performance, employability, and leadership for employers. One of the major social networks, the unemployed derives satisfaction from is Facebook. The focus of this article is to introduce association rule mining and demonstrate how it may be applied by employers to unravel the characteristic profiles of the unemployed Facebook users in the recruitment process by employers, for example, recruitment of public relations officers, marketers, and advertisers. Data for this study comprised 3,000 unemployed Facebook users in Nigeria. This study employs association rule mining for mining hidden but interesting and unusual relationships among unemployed Facebook users. The fundamental finding of this study is that employers of labour can adopt association rule mining to unravel job relevant attributes suitable for specific organisational tasks by examining Facebook activities of potential employees. Other managerial and theoretical implications are discussed.
Keywords: association rule mining; Facebook; unemployment; personality traits.
Implementing COCOMO II as personnel direct cost in an owner estimate cost model for software project
by Sholiq Sholiq, Apol Pribadi Subriadi, Eko Wahyu Tyas Darmaningrat, Abdul Azis
Abstract: COCOMO II is a method to get effort, time (schedule), and cost for software development. In this study, COCOMO II was used to obtain personnel direct costs of a software development project. Personnel direct costs were one of the three components that compose the owner estimate cost. The purpose of this study was to propose a conceptual model to determine the owner estimate cost that was formed from three components, namely: personnel direct cost, non-personnel direct costs, and taxes. In this study, it was explained the stages of using the model to determine the owner estimate cost for software development projects.
Keywords: COCOMO II; owner estimate cost; OEC; software cost; software project.
An Investigation into the Acceptance of Mobile Wallets in the FinTech Era: An Empirical Study from Kuwait
by Ahmad Rabaai
Abstract: Due to the increase popularity of smartphones and mobile devices, mobile wallets (m-wallets) are providing a convenient payment method for customers to complete financial transactions. With an aim to investigate the factors that influence users behavioural intention to use m-wallet applications, this study extended the unified theory of acceptance and use of technology (UTAUT2) model. Data from 544 responses was analysed using partial least squares (PLS) of structure equation modelling (SEM). The findings of this study confirmed that users behavioural intention towards the use of m-wallet applications is influenced by performance expectancy, effort expectancy, hedonic motivation, facilitating conditions, perceived compatibility, personal innovativeness, individual mobility, trust and perceived risk; though, price value and social influence were not significant. The study suggests several theoretical and practical implications that can provide fruitful insights to both academic researchers and professionals to capitalise on different strategies to attain the anticipated benefits of m-wallet applications.
Keywords: FinTech; mobile payment; mobile wallet; UTAUT2; technology acceptance; behavioural intention; Kuwait.
DEVELOPMENT OF A SCORECARD TO MEASURE THE SATISFACTION AND HAPPINESS IN HIGHER EDUCATION
by Dasharathraj K. Shetty, Namesh Malarout, Nithesh Naik, Rajashree Kamath, Annu Duhan, Karthikeyan Parthasarathy
Abstract: This study aims to identify and test the antecedents affecting students satisfaction and its relationship with happiness. A conceptual model was designed with the dimensions such as happiness, recognition, gratitude, physical health, and negative emotion to measure students satisfaction. Martin Seligmans theory of well-being was employed to measure the happiness of the students. Data was collected from 202 respondents and a structural equation modelling (SEM) approach was employed for analysis. The results of the study indicate that physical health, gratitude, and negative emotion influence the satisfaction of students in higher education. It was found that positive emotion and relationships have a significant influence on the happiness of the students. A relationship between satisfaction and happiness was developed. In extension to the present studys findings, a model and scorecard are proposed that can be used to measure the happiness and satisfaction of students in higher educational institutions in India.
Keywords: satisfaction; happiness; PERMA; higher education; scorecard.
Role of Big Data Analytics and the Internet of Things (IoT) in Indian Agricultural Supply Chain
by Shreyansh Vikram Singh, Jitesh Singh, Shruti Garg, Shantanu Trivedi, Saurav Negi
Abstract: This paper intends to determine the role and application of technology, particularly big data, and IoT in the Indian agriculture supply chain, and to present the best practices and learned lessons of technology in the agriculture supply chain. This paper has also analyzed the capability of future inventions to be used in the agriculture supply chain, which would enhance the efficiency of the agriculture supply chain management. Finally, this paper covered how data collection and analysis using IoT devices could unlock new possibilities in the supply chain management of the ever-growing agriculture sector in India. Using big data analytics in the agricultural supply chain would help to overcome the bottlenecks in the agriculture sector. Because every major company uses data analytics and big data in conjunction with the IoT, all we need to do is identify the available tools and model them to be used effectively in the present scenario.
Keywords: agriculture supply chain; big data analytics; smart agriculture; internet of things; IoT; food supply chain.
An Empirical Investigation of Users Continuance Intention to Use Cloud Storage Service for Organizational Use
by Quang An Ha, Jeng-Chung Victor Chen, Andree Emmanuel Widjaja, Hsin-Yun Chung
Abstract: Cloud storage service (CSS) has been widely used by individuals for both personal and organisational usage purposes. While many studies have investigated the CSS, little attention is paid to the users post-adoption to CSS, specifically when CSS is adopted for organisational users in performing work-related tasks. Drawing upon two theoretical models, namely: post-adoption theory and the DeLone and McLeans information systems success model, this study aims to examine critical antecedences of CSS users continuance use intention in the context of organisational usages. Valid data were retrieved from an online survey collected by a total of 302 Taiwanese employees who are active CSS adopters, using CSS to assist their work-related performance, then analysed by PLS-SEM approach. The empirical results further affirmed the significant roles of system quality, perceived usefulness, and privacy concerns on users continuance intention. Interestingly, findings show that users satisfaction doesnt have a significant impact on continuance intention, whereas information quality, system quality, and service quality are found to have a positive impact on users satisfaction. The discussion and implementation are conclusive in the current paper.
Keywords: cloud computing; cloud storage service; organisational use; post-adoption theory; DeLone and McLeans information systems success model; privacy concern; security concern.
An Integrated Model for Customers E-Loyalty: An Evidence from Online Shopping in Vietnam
by Vuong Bui Nhat, Giao Ha Nam Khanh
Abstract: The purpose of this study is to explore the antecedences and consequences of consumers e-loyalty in the context of online shopping in Vietnam. Using a structured questionnaire, data was collected from 594 consumers who have ever purchased on online shopping websites. Partial least squares structural equation modelling (PLS-SEM) using SmartPLS 3.0 software was employed to discover links between the constructs. The results indicated that a positive impact of website quality on e-loyalty; this relationship was mediated partially through consumer e-trust and e-satisfaction. As a consequence, e-loyalty had a positive association with electronic word of mouth (eWOM). The main findings of this research provided some empirical implications for internet marketers and online retailers in Vietnam. E-vendors should understand the customers expectations and e-loyalty regarding online shopping to attract new customers as well as retain their existing customers.
Keywords: website quality; e-trust; e-satisfaction; e-loyalty; electronic word of mouth; eWOM; Vietnam.
Analysing Inhibitors of Green practices Implementation in Indian companies
by Gyanendra Prasad Bagri, Dixit Garg, Ashish Agarwal
Abstract: With rapid industrialisation, developing countries are facing environmental issues. These issues affect directly or indirectly human beings, which can be overcome by green practices implementation. Today, every company is trying to implement green practices in its organisation to take competitive advantage as well as due to societal and regulatory pressures. However, due to presence of inhibitors the implementation of green practices in any organisation is difficult. The objective of this work is to analyse the role of inhibitors in implementation of green practices in Indian auto ancillary manufacturing industries. An attempt is made to identify the inhibitors and to analyse their role in green practices implementation. The interpretive structural modelling (ISM) approach has been used to develop contextual relationship among the identified hindering factors whereas, matriced impacts croises-multiplication applique and classment (MICMAC) analysis has been used to determine the driving power and dependence power of the hindering factors.
Keywords: green practices; green supply chain management; GSCM; inhibitors; interpretive structural modelling; ISM; manufacturing industries.
Users Trust, Spirit, Flow, and Intention to Reuse e-Mobile Payments: Explained by a Combination of the Attribution and Adaptive Structuration Theories
by Sumiyana Sumiyana, Wulandari Agustiningsih
Abstract: This study proposes that combining attribution and adaptive structuration theories could explain users intentions to continue to use mobile payments. The users trust and spirit reflect the combination of both ideas. The studys results show that this combination could enhance the users cognitive flow when they make mobile payments. It implies that information and communication technology managers should consider information systems reputations and users faithfulness of appropriation. The reputation that is in the attribution theory suggested that information service officers should always maintain users trust in their business relationships. On another side, the appropriations faithfulness in the adaptive structuration theory implied that information service officers should have strategies to enhance users spirits. Therefore, this study infers that trust and peoples spirits could either complement or alternate other logical reasoning to explain the use of mobile payments. It implies that chief information service officers should emphasise users spirits and trust in a combined fashion. This combination had consequences for developing users experiential knowledge.
Keywords: continuance; cognitive flow; attribution; reputation; adaptive structuration; the faithfulness of appropriation; trust.
Influence of Shoppers Attitude and Satisfaction with Smart-Gadgets on Intention to Provide Reviews: Moderating role of Fear of Technological Advances
by T. Sai Vijay, Sanjeev Prashar, Chandan Parsad
Abstract: Smart wearable gadgets have been popular among consumers because of their use as health monitoring devices and fashion accessory. However, extant literature available lacks enough evidence on the formation of shoppers attitude towards such devices. Extending the theory of reasoned action (TRA), the present study determines the factors that influence consumers attitude towards these devices, further leading to their satisfaction with smart gadgets. The paper also explores the moderating role of fear of technological advances (FTA) in the formation of attitude. Besides this, the study examines users intention to recommend the smart device in online reviews. Hypotheses were tested using structural equation modelling on data collected from 326 respondents. The research indicates the main effect of hedonic values and innovativeness and the significant moderation effect of FTA on attitude. The findings provide smart gadget marketers with useful implications for developing and offering augmented marketing and communication strategies.
Keywords: intention to write reviews; utilitarian value; hedonic value; innovativeness; fear of technological advances; FTA; smart gadgets; theory of reasoned action; TRA.
An Empirical Verification of the Proposed Distributor Marketing Intelligence System (DMiS) Model
by Thangaraja Arumugam, Sanjeev M.A., Renju K. Mathai, Boselin Prabhu, Balamourougane R, Jarin T
Abstract: Distributors are close to the customers and vital in understanding them; thus act as a serious link in any organisations marketing intelligence system. Distributors are also critical in local adaptation of the companys marketing activities based on the prevalent local conditions, which is essential for market success. The distributor choice-making pattern deals with their selling and marketing parameters everyday choice based on their appraisal of data about competitors, clients, and other local factors (the local market intelligence) helping them adapt to local customer requirements. This study uses a descriptive cross-sectional design to ascertain the reliability and validity of the proposed distributor marketing intelligence system (DMiS) model and to ascertain the degree of responsiveness exhibited by the distributors based on their market intelligence and marketing involvement, among packaged goods distributors. The resultant scale can find application in recruitment and evaluation of channel partners and in designing suitable training programs for
Keywords: scale development; marketing intelligence; localised marketing; distributor marketing intelligence system; DMis; decision-making; distributor involvement.
Possible Impact of Video Lecture Capture as an E-Learning Tool: A Case Study of Higher Education of Republic of Korea
by Habib Ullah Khan, Madhavi Lalitha, Mahmood Awan
Abstract: The world has been advancing by embedding latest techniques in all walks of life. Academia is also following the suit by tailoring the technologies as per the need of the students/learners. However, there are no commonly accepted mechanisms to evaluate them from time to time. Hence, the present study aimed to evaluate the video lecture capturing (VLC) method that is carried out at leading business school of Korea. A structured survey tool is developed to draw the feedback of the students regarding the VLC and 131 responses are collected in this regard. In addition to the responses, the
grades of the students before and after deploying VLC are considered to evaluate whether there is any significant influence of VLC and the results are tested at 5% confidence level. A good proportion of students (around 60%) responded positively for the benefits of VLC.
Keywords: video lecture capture; VLC; technology-oriented education; IT adoption.
Requirements of AIS in Building Modern Operating Business Environment
by Adel Qatawneh
Abstract: Current study aimed at examining the requirements of AIS in building modern operating business environment within retail trading unit in Jordan including malls, hyper market and super markets. Requirements were divided into internal resources including (human resources, IT infrastructure and knowledge sharing) while the other part took into perspective the external resources (technological vigilance, competiveness and market). Total of 150 individuals were exposed to a questionnaire as a tool of study. Results of the current study concluded that the current AIS tools and their techniques used in large retail stores in Jordan meet the needs of the modern business environment due to the ability of these tools to meet the needs of the modern business environment and be a response to it to achieve the goals of the organisation. Also, results of study indicated that both internal and external resources are extremely important but internal resources appeared to be more influential as main requirements for modern accounting operations in organisations. Study recommended that the organisations should use the talents of their existing and intangible organisational capabilities in developing their internal business environment in addition to developing their external tools and means in dealing with clients and competitors.
Keywords: accounting information system; business environment; vigilance; unstable market; technologies; automated accounting.
Improving Churn Prediction using Imperialist Competitive Algorithm for Feature Selection in Telecom
by Hossein Abbasimehr, Aram Bahrini
Abstract: Customer churn prediction is often formulated as a binary classification task. Feature selection is a significant preprocessing step that can improve the performance of the resulted churn prediction model. Its principal objective is to find a minimum set that eliminates irrelevant or redundant features and increases the performance of learning techniques. This study proposes a new feature selection method that exploits the Imperialist Competitive Algorithm to select the optimal feature set. To evaluate the usefulness of the proposed method, three state-of-the-art filter feature selection methods are selected. Also, we develop a wrapper feature selection method that works based on the genetic algorithm. We conduct the experiments using two churn datasets of the telecommunication industry. The experiments show that the proposed feature selection method considerably improves the performance of the generated models.
Keywords: data mining; churn prediction; classification; feature selection; wrapper feature selection; imperialist competitive algorithm.
The invasion of e-commerce on SMEs: Exploring the impact on the brick-and-mortar experience
by Abrar Al-Enzi, Dalal Al-Enezi
Abstract: This research examines the adoption of e-commerce by SME businesses in Kuwait. It explains what e-commerce is, and how it is influencing SME businesses to shift towards online applications. In addition, it explains in detail how the roles of human factors, technological or financial factors, environmental factors, safety factors, and the lack of brick and mortar experience influence the use and establishment of an e-business. In this research, qualitative analysis was used to measure the above variables by the conducting of ten semi-structured interviews with Kuwaiti SME business owners. The finding of the analyses concluded that the measured variables mentioned above influence the establishment and practice of e-business in Kuwait, which in turn somewhat affects the brick and mortar experience. The results of this research were based on ten semi-structured interviews. The interviewees were selected using snowball sampling and the interviews were conducted over the phone due to COVID-19, which might have introduced research bias. This research will give SME business owners a wider look at the impact of virtual platforms on their businesses and show how they could benefit from this research by reviewing what needs to be changed to achieve successful business management.
Keywords: e-commerce; SMEs; Brick and Mortar; performance; Kuwait.
Leading the Digital Transformation: A Dynamic Capability Framework Proposal
by Raphael Donaire Albino, Miguel Mira Da Silva, Cesar Alexandre De Souza
Abstract: Digital transformation has been defined as the capacity of organisations to embed digital technologies in their routines, leading to a change in how they create value for their customers, backed by a rethinking of their whole structure and processes, reshaping their business model. Empirical data and cases reported that just a few companies succeed in digital transformation and go beyond the experimentation and piloting steps. We proposed a framework to generically describe the triggers, enablers, barriers, dynamic capabilities, expected outcomes, and strategic renewal that encompass digital transformation in incumbent organisations. By following a design science research approach, we proposed an artefact demonstrated and evaluated by a group of experts. Our findings revealed that digital transformation is a continuous process of adapting technology and strategy, evolving the business model, building a culture of collaboration, supporting peoples development, creating smart governance structures, and connecting deeply with customers.
Keywords: digital transformation; information system strategy; dynamic capabilities; design science research.
THE RELEVANCE OF INTERNET INFORMATION DEPENDENCY FOR FREQUENT ONLINE BUYERS
by A.K.S. Sukumaran
Abstract: Buyers increasingly depended on information relating to prices and products from the internet. Information by itself was not useful and recent studies found an overload of information on the internet. The individual characteristics of online buyers determined the usefulness or otherwise of such information in online shopping. The processing style, intuitive or analytical, of a consumer made a difference on the dependency on online information. The present study demonstrated that frequent online buyers did not depend on the internet information when such information was not useful to them. The concept of internet information dependency itself was derived from media system dependency theory (MSD). The present study used an extended model of the technology acceptance model and found playfulness more significant than information dependency in online shopping intention.
Keywords: technology acceptance model; TAM; media system dependency theory; MSD; internet information dependency; playfulness; perceived usefulness; perceived ease of use; online shopping intention.
Tobins q and firm performance: MCDM and Clustering based approach for Indian companies
by Roma Kumari, Tamal Datta Chaudhuri, Indranil Ghosh
Abstract: Tobins q has been interpreted as a forward looking indicator of firm performance. In this paper, we use it as a lead indicator in period t to find out its effect on firm performance in period t + 2. The conceptual framework used in the paper has Tobins q as the indicator of expected firm performance which is manifested through asset turnover ratio, gross profit margin, enterprise value/EBITDA, incremental output capital ratio, returns on retained earnings and free cash flow. Further, we do a size class analysis for the relationships. For a sample set of Indian companies, we seek answers to whether did Tobins q could predict business efficiency, business effectiveness, innovativeness and sustainability. After identifying the partial effects, to improve our understanding of the relationship between the realised variables and Tobins q in one go, we apply a clustering driven multi criteria decision-making model on the realised variables.
Keywords: Tobin’s q; efficiency; effectiveness; innovativeness; sustainability; multi criteria decision-making model; clustering.
Artificial Intelligence in Strategic Business Management: The Case of Auditing
by Leandro Ferreira Pereira, Mariana Resio, Renato Lopes Da Costa, Álvaro Dias, Rui Gonçalves
Abstract: We live in the era of digital transformation and adopting innovative tools and technologies such as artificial intelligence (AI) seems to be extolling business models and driving optimisation in the processes inherent to their operation. The audit area which is intense in tasks that can be performed by machines, studies emerge showing positive results in the adoption of AI tools. The literature affirms the use of machinery such as AI in business models opens doors to the creation of value in organisations adjacent to this strategy. In order to deepen this contradictory approach between the benefits associated with the adoption of AI and the low rate of use of it, around 200 employees from mostly Portuguese companies were inquired. The research findings allow to understand what kind of work can be transferred for AI automatisation and present a list of technological issues to solve in this transformation.
Keywords: auditing; innovation; innovation processes; technology adoption; technological change; technological innovation.
The relationship between the voluntary disclosure and financial reporting quality of Islamic banks: An empirical evidence from Yemen
by Eissa A. Al-Homaidi, Ebrahim Al-Matari, Suhaib Anagreh, Mosab Tabash, Nabil Ahmed Mareai Senan
Abstract: This study aims to empirically investigate the influence of voluntary disclosure on financial reporting quality of Islamic banks in Yemen. The study uses an un-weighted disclosure index, comprising 266 items. Financial reporting quality (FRQ) is measured by two models namely, Jones (1991) (FRQJONM) and Dechow and Dichev (2002) (FRQDDMD), while voluntary disclosure level is considered as an independent variable. The results show that FRQJONM has a significant effect on financial ratio (FINRAT), financial statement information (FINSTIN), corporate social disclosure (CORSD), and other information (OTHINF). With regards to FRQDDMD, the outcomes indicated that general knowledge (BAISCG), financial ratio (FINRAT), other information (OTHINF), and bank size (BANSIZE) have a significant impact on FRQDDMD. The study has significant implications in developing economies for both individual and financial institutional investors, regulators, and policymakers. The study adds a new contribution to Islamic finance industry, particularly in Yemen and for all other countries interested in the Islamic way of finance.
Keywords: Islamic banking sector; financial reporting quality; FRQ; voluntary disclosure level; Yemen.
An Innovative Cost Taxonomy: Identifying and Classifying Costs of Technology Solutions
by Yeimi Pena, Dario Correal, Eduardo Miranda, Oscar Gonzalez
Abstract: Financial analysis of technology solutions is a crucial activity to determine the advisability of an IT investment. This analysis requires identifying and classifying the costs of the technology solution to support decision-making processes. Although previous research has developed cost taxonomies that support the identification of costs, companies still face difficulties due to technology diversity, the generic cost categories, and insufficient guidance for use. There is a need for supporting investment decisions and mitigating cost omissions and cost overruns. To address this gap, a cost taxonomy that provides the means to identify and classify costs of a technology solution is required. We propose a taxonomy that fits with the particular needs of technology solutions considering the technology deployment model, technology services required, and its life cycle phases. We evaluate the proposed taxonomy and the results demonstrating benefits that comprise lowering the risk of cost omission and increasing detail of the costs.
Keywords: cost taxonomy; technology investments; financial analysis; solution architecture; design science research; technology services; cost analysis.
Comprehensive Survey on Modern Technologies for Improved Bank Credit Risk
by AISHWARYA KUMAR, Ankita Srivastava, Puneet Kumar Gupta
Abstract: This paper gives a coordinated literature study on present-day technology innovations in bank credit risk to recommend a superior comprehension of the extant status of the application of artificial intelligence and machine learning models. An investigation is performed employing data in journals, articles, and certain thesis. The existing systematic literature review (SLR) is steered by research questions that incorporate the recognisable proof of advancements, data science algorithms, and the utilisation of high-tech models in evaluating credit risk in banks. The outcome identifies the forms and engagement of current financial technology in default risk. It intends to create a taxonomy of financial technologies and amass information in the fields of credit underwriting, exposure estimation, text mining, blockchain, and the use of artificial intelligence in credit risk management. The paper will conclude with future research agendas and directions to transform the customary financial framework.
Keywords: credit risk; banks; machine learning; credit models; artificial intelligence; systematic literature; modern technologies; fintech.
A Tailor-Made Manufacturing Information System From Shop-Floor Operators Perspective
by Joneval Gomes, Jorge Luis Victoria Barbosa, Denise L. Bandeira
Abstract: This article aims to uncover the determinants of acceptance and the use of a tailor-made manufacturing information system implemented in a global bus manufacturer. A survey to map the perceptions of manufacturing operators working on two sites of production for components involved 166 workers. The unified theory of acceptance and use of technology (UTAUT) is the theoretical framework used in this study. Data analysis using cluster, crosstab and discriminant analysis, associated with personal and documentary observation, revealed the existence of four clusters of importance and satisfaction perceptions related to the use of this system. The analysis also reinforced the fact that managerial support plays a vital role in the adoption of manufacturing systems.
Keywords: acceptance and use of technology; industrial case study; cluster analysis; discriminant analysis.
Dynamic fuzzy clustering algorithm using cumulative cost curve with application to dynamic customer segmentation
by Sivaguru Munusamy, Punniyamoorthy Murugesan
Abstract: Dynamic customer segmentation (DCS) is a useful tool for managers to update customer segments with new information continuously. One of the algorithms introduced in the literature for DCS is the dynamic fuzzy c-means (DFCM) clustering algorithm. We have proposed a cumulative cost curve method for the DFCM algorithm to overcome its shortcomings. Besides, we have also modified the existing structure strength expression used in the DFCM algorithm. Extensive experiments were conducted using a retail supermarket dataset with 11 new data updates to assess the performance of the proposed method in comparison with the DFCM and modified dynamic fuzzy c-means (MDFCM) algorithms. Finally, a DCS framework that could be used as a tool by managers is proposed to show the usefulness of the DFCM algorithm in the application domain, and it is demonstrated through a case study.
Keywords: dynamic fuzzy c-means; DFCM; dynamic customer segmentation; DCS; RFM analysis; cumulative cost curve; clustering error.
Individual and Technological Factors Affecting the Adoption of Enterprise Resource Planning (ERP) Systems in the Jordanian Banking Sector
by Mohannad Al Shbail, Zaid Jaradat, Mohammad Bany Baker, Mohammad Almuiet
Abstract: This paper proposed a framework of the drivers of Enterprise Resource Planning (ERP) system adoption in the banking sector of Jordan, based on the UTAUT model. The study objectives were achieved by involving 150 managers and heads of department to which questionnaire copies were distributed to in 13 banks that employed the ERP system. On the basis of the findings, the factors that drove the ERP system adoption among the examined banks were self-efficacy, attitude, perceived usefulness and perceived ease of use. The findings further indicated that ERP adoption leads to the enhancement of banks performance and that attitude, self-efficacy, perceived usefulness and perceived ease of use can be manipulated to enhance such performance through their influence on the adoption of the system. It is expected that framework is used in banks as a guide to promote and facilitate the major drivers of ERP adoption.
Keywords: enterprise resource planning; ERP; individual factors; technological factors; banking sector.
The Impacts of Human Resource Development on Performance of Manufacturing Companies in Jordon: Mediating Role of Dynamic Capabilities
by Lina Al-Abbadi
Abstract: The aim connected with the current research is to examine the impact of human resources (HR) development such as performance appraisal, compensation practices and career advancement on the performance of manufacturing companies in Jordan. The purpose of the research also shows the investigation of the mediating role of dynamic capabilities among the nexus of HR development and the performance of manufacturing companies. The data was collected by non-random sample consisted of 290 questionnaires from the HR department of the manufacturing companies with respondent rate of 67.44%. The structural equation modeling (SEM) was executed through AMOS program for the analysis and testing the research hypothesis purposes. The results revealed that all the dimensions of HR development such as performance appraisal, compensation practices and career advancement have positive linkage with the performance of manufacturing companies. The findings also revealed that DC have played a positive mediating role among the nexus of HR development and the performance of manufacturing companies. These findings have provided the guidelines to the higher authorities of manufacturing companies that they should focus on the development of HR practices along with the DC that enhance the performance of the organisation.
Keywords: human resource development; dynamic capabilities; career advancement; organisational performance.
An empirical investigation of the determinants influencing cryptocurrency adoption in Kuwait
by Ahmed E. Elmorshidy, Issam A.R. Moghrabi, Mohamed Mahmoud Moustafa
Abstract: Although cryptocurrencys popularity has increased exponentially, virtually no studies have investigated the factors influencing its adoption in developing countries. This study uses the unified theory of acceptance and use of technology (UTAUT) model and the technology acceptance model (TAM) to investigate consumers intention to adopt cryptocurrencies in Kuwait. The variable sets considered included demographic variables such as gender, age, educational level, income, and several cognitive and attitudinal variables such as performance expectancy, effort expectancy, facilitating conditions, social influence, perceived usefulness, perceived ease of use, and attitudes. Based on a large sample of 462 respondents, the study employs hierarchical linear regression to show how it is possible to identify various dimensions of cryptocurrencies intentional usage behaviours. For example, performance expectations, facilitating conditions, perceived usefulness, and perceived ease of use have been found to be positively linked to consumers adoption of cryptocurrencies.
Keywords: cryptocurrencies; Bitcoin; technology acceptance model; TAM; Kuwait.
Investigating the Role of Consumers Participation in Social Media Marketing Communications and Consumer Loyalty in the Tourism Industry
by Bijay Kushwaha
Abstract: The radical innovation in social and digital marketing techniques has created a very dynamic platform to gain consumer loyalty. Consumer loyalty helps to gain new consumers and retain existing consumers for a longer period. Loyal consumers also spread positive word of mouth and influence others to buy the companys products. This paper aims to find out the elements of social marketing communications that play important role in gaining consumer loyalty. The elements such as expressive message, customer co-creation, and consumer engagement have been considered for this study. The purposive sampling technique was used to select and interview 392 respondents of the Himachal state of India. The findings suggest that consumer engagement is the most important elements of social media marketing communication to gain consumer loyalty followed by posting expressive messages on the companys social media page. The implications of the study are discussed.
Keywords: social media; customer co-creation; consumer loyalty; consumer engagement; consumer loyalty.
Information systems project managers technical competences
by João Varajão, Nilton Takagi
Abstract: Project managers technical competences are crucial for achieving success in information systems (IS) projects. Several variables can influence the perceived importance of these competences, such as the project managers education, training, experience, organisational context, among others. This paper aims to determine the most important technical competences of information systems project managers, as well as to identify the influencing variables. Results of our international web-based survey of IS project managers highlight the importance of competences like communication, project requirements and objectives, teamwork, interested parties (stakeholders), and scope and deliverables. Results also show the relevance of project managers experience since it influences the perceived importance of 45% of the competences under study.
Keywords: information systems; projects; project manager; project management; technical competences.
Extending UTAUT through Moderating Effects of Trust
by Abdulsalam Mas'ud, Nor Aziah Abd Manaf, Natrah Saad, Abdurrahaman Adamu Pantamee
Abstract: Conflicting findings from electronic tax filing (e-filing) acceptance models highlight the need to gain theoretical insights for better explanation on these inconsistencies. Trust is one of the important variables in accepting new technologies, and relevant in social contract such as taxation. However, its integration into research models has been mostly through mediation analyses; its usage as moderator has been scant in the literature. This study extends UTAUT through the examination of the moderation effect of trust in e-filing software. Quantitative methodology was adopted through a survey of 132 micro-entrepreneurs in merchandising sector in Northwestern Nigeria. The data from the sample was analysed using partial least squares-structural equation modelling (PLS-SEM). It was found that trust in e-filing software moderates the relationship between performance expectancy, effort expectancy, social influence and e-filing acceptance. The study expands UTAUT through moderating effects of trust in e-filing software. The findings could benefit policymakers and would open window for exploring other moderating variables relating to e-filing adoption.
Keywords: e-filing acceptance intention; effort expectancy; performance expectancy; social influence; trust in e-filing software.
Consumers intention to use self-checkout technology in a retail context: A comparison of alternative competing models
by Nasir Abdul Jalil, Kian Yeik Koay
Abstract: The purpose of this study is to investigate consumers intention to use self-checkout system in a retailing context using three different theories, namely the theory of planned behaviour (TPB), the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). This study used cross-sectional data collected from university students (N=283) to validate the proposed hypotheses to compare the multiple theoretical models by using partial least square structural equation modelling (PLS-SEM). Results showed that the UTAUT outperformed the TPB and the TAM in terms of predictive power. This study contributed to the body of knowledge by investigating the explanatory power and predictive relevance of three different theoretical models in understanding and predicting consumers intention to use self-checkout within a retailing context.
Keywords: Self-service technology; Theory of planned behaviour; Technology acceptance model; Unified theory of acceptance and use of technology; Model comparison; PLS-SEM; Malaysia.
Modelling E-Supply Chain Processes in SMEs: The Impact of RFID as a key IOT Technology
by Omneya Kandil, Rasha Abd El-Aziz, Meer Hamza
Abstract: The Egyptian Government is paying a great attention to small and medium enterprises (SMEs) and their role in the economy. SMEs face a lot of challenges which prevent them from operating in an efficient manner. This research aims to explore the current performance of Egyptian SMEs and the impact of adopting the available technologies. Mixed methods approach was used, where interviews were conducted at fourteen Egyptian SMEs. The supply chain process was observed at six of them. ElMadina enterprise was chosen as a representative sample, and its process was analysed and modelled in order to visualise, specify, construct, and document the system in an effective way. Results show the inefficiencies that face SMEs. However, the investigation concludes that adopting Internet of Things technologies such as RFID may help eliminate theses efficiencies.
Keywords: e-supply chain; small and medium enterprises; SMEs; unified modelling language; UML; internet of things; IoT; radio frequency identification; RFID.
The role of contextual factors in moderating the performance impact of ERP systems: An empirical analysis
by Mohammed Nour
Abstract: Ascertaining the benefits from investments in ERP systems continues to be a largely inexplicable research problem, complicated by numerous external contextual variables and internal organisational factors. This study examined the role of industry type, geographic scope, firm size, and time elapsed as contextual variables moderating the significant antecedent influence of top management support and user training and education on ERP-induced benefits and overall firm performance. Using a sample of 200 organisations and structural equation modelling, we confirmed the antecedent effect of both top management support and user training and education on ERP-induced task and process efficiency, and integration and coordination, as direct predictors of overall firm performance. Task and process efficiency was in turn found to have a significant direct effect on overall firm performance, but integration and coordination were not. Our findings also confirmed the significant moderating effects of all the four contextual variables industry, scope, size, and time elapsed. Implications for research and practice are discussed.
Keywords: enterprise resource planning; ERP-induced benefits; firm performance; contextual factors; moderating variables; antecedents.
Prioritization of Disaster Recovery Aspects through DEMATEL Technique
by Avinash K. Shrivastava, Chetna Choudhary
Abstract: In the modern era, the associations dependency on information technology has taken a giant boost to improve operations with superior performance. This increases the demand for uninterrupted IT services to intrigue towards disaster recovery measures. For many decades, there have been enormous investments in hard science and no corresponding levels of support for endeavours to understand vulnerability. Disaster recovery plays a crucial role from failures, human mistakes and its unpredictability nature. This work demonstrates the application of multi-criteria decision making (MCDM) approaches in the form of the decision-making trial and evaluation laboratory (DEMATEL) method to identify and prioritising disaster recovery attributes for betterment. This effort will be supportive for practitioners in deciding the ranking of such attributes with greater perception so that appropriate preventive /corrective action should be taken well in time to make the entire system capable of handling such circumstances.
Keywords: business continuity; disaster recovery; DEMATEL; prioritisation.
Stress and Coping: Technological Perspective from Indonesian Higher Education
by Ansar Abbas, Ayesha Anwar, Muhammad Saud, Dian Ekowati, Fendy Suhariadi
Abstract: The implementation and resolution of human behaviour science in judgment stresses upon strategic solution. Particularly when it comes to inevitable change like the Indonesian Government introduced a variety of initiatives for digital transformation. The widespread development of modern technology, although helping at large, producing stress, overload, uncertainty, and complexity as possible adverse psychological effects on the health of students. The current study undertakes enormous challenges to merely recognise the complex phenomena of correctly identifying technology stress, direct response to naturally adopt coping strategies, social-psychological influence through a causal framework. The empirical data processed and computed in SPSS and Warp PLS for path analysis and investigating causal relationships. The results revealed that conscious choice of problem-solving and religious coping tended stronger among other strategies, while social capital and psychological wellbeing were required to combat the dark side of technology. Strategies for decision support system have been discussed.
Keywords: technostress; social capital; strategies; decision support; coping strategies; higher education.
Analysing the Cloud Efficacy by Fuzzy Logic
by Aveek Basu, Sanchita Ghosh, Sraboni Dutta
Abstract: Cloud computing signifies an evolutionary step in the world of information technology as it provides multitude of advantages over traditional model. The fuzzy rule-based assessment of the cost benefit analysis for cloud computing provides effective cost management to the organisations. In addition to that, the current generation entrepreneurs are inspired to start new ventures with minimum financial strength. Therefore, effective cost benefit analysis became an integral part of cloud migration nowadays. Benefit of moving to cloud platform depends on numerous features like partial utilisation, data duplication, lower capital expense, frequency of new tool usage, variable workload, multi tenancy, scalability, flexibility, etc. In this research, three fuzzy inputs probability of data duplication, capital expenditure and probability of workload variation are considered among the above parameters as fuzzy inputs to determine the cost benefit in moving to cloud.
Keywords: cost benefit; fuzzy modelling; capital expenditure; Capex; workload variance; data distribution; cloud computing.
Examining the role of diffusion of innovation theory and human resource practices towards employees innovative work behavior with moderating role of technology capabilities
by THAIR ABED ALRAHMAN HABBOUSH, Mohammad Ali Yamin
Abstract: The current research aims to deepen the knowledge on the mechanism of employee innovative work behaviour with the integration of human resource practices and diffusion of innovation theory. Data were analysed with 339 responses retrieved from employees working in small medium enterprises. Findings revealed that information sharing, recruitment and selection, compensation, training and development, supervisor support, innovativeness and compatibility explained substantial variance R2 0.769% in employee innovative work behaviour. Statistical findings confirmed that the moderating relationship between employee innovative work behaviour and organisational performance will be stronger when technology capability is higher. Theoretically, this study contributes to diffusion of innovation theory and human resource practices model. In terms of practice, results suggest that human resource practitioner and policy makers should focus on firm technological capabilities and training and development programs to boost employee attitude towards employee innovative work behaviour and organisational performance.
Keywords: employee innovative work behaviour; human resource practices; diffusion of innovation theory; innovativeness; technology capability; organisational performance.
Investigating the role of diffusion of innovation theory, environmental pressure, and organizational capabilities towards adoption of digital technologies
by Bader Alyoubi, Mohammad Ali Yamin
Abstract: The rapid change in global environment, digital transformation and customer preference had built unprecedented pressure for organisation to adopt digital technology. In this essence, the current research investigates factors which influence employee behaviour to adopt digital technology. Data were analysed with structural equation modelling (SEM). Findings indicate that the integrated research model has substantial variance R2 80.1% in determining employee behaviour towards adoption of digital technology. The effect size analysis (f 2 ) reveals that compatibility has the highest impact in measuring employee adoption behaviour towards digital technology. Importance performance matrix analysis suggest for organisation performance constructs like employee behaviour to adopt digital technology, compatibility, mimetic pressure and management support are core constructs for managerial consideration. This research has several contributions to theory and practice. This study is unique as it develops and integrated model that underpinned technological organisational and environmental factors to investigate employee behaviour towards adoption of digital technology.
Keywords: innovativeness; compatibility; strategic road-mapping; knowledge competency; behavioural intention to adopt digital technology; IT infrastructure; structural equation modelling.
Analyzing Accessibility in E-Wallet Apps for the Elderly
by Navamani T. M, Salonee Gupta, Shreya Ghai, Rishab Gupta
Abstract: The increasing access to technology has made the number of mobile internet users shoot up exponentially. Today, there is an app for everything. While these apps have been useful to the majority of their users, they are not all inclusive of the elderly or people with disabilities. This is a major concern with respect to e-wallet applications due to their rising demand as the most popular mode of payment. This is the problem addressed in this research study. An online survey and a multi-case study have been conducted to investigate how e-wallet apps are being used on a daily basis. A product requirement analysis has been conducted to understand important features for the elderly demographic of users. Using this data, design recommendations and guidelines have been provided through a prototype design. It is concluded comprehensively on the changes that future application designers need to focus on incorporating all the basic and the user-friendly payment features.
Keywords: accessibility; mobile applications; assistive devices; smartphones; design guidelines; human computer interaction.
A Literature Review on Use of Social Media in Job Performance: Social Capital and Self-Efficacy
by SATINDER KUMAR, Pooja Rani
Abstract: In the advanced period, there are numerous articles and exploration papers identified with the utilization of web-based media that are quickly developing in each circle of life. In the paper, systematic literature review analysis has been done to survey the role of social media in social capital, self-efficacy, and job performance. As a result of the systematic literature review total of 70 relevant articles have been found from forty-two journals. The principle focal point of the current analysis is to recognize the effect of online media on job performance and the mediation effects of other factors identified in the study. The outcomes show that numerous examinations have been done in various nations and these investigations have a place with the time of 2001 to 2020. In light of the examination, one model has been proposed showing the relationship and impact of mediation.
Keywords: Social media; social networking sites; online communication; social capital; self-efficacy; job performance.
Understanding technological acceptance to minimize possible risks on Electronic Payment Systems in Indian Customers Perspective
by Anitha Kumari, N. Chitra Devi
Abstract: Innovations in electronic payments to improve value, offer better customer experience and adopt digital technology encourages the emergence of innovative payment methods and become a cornerstone for safe and secure transactional aspects of online payments. This study intends to propose a research framework that examines the effects of influential factors on the adoption of electronic payment systems (EPSs) mediated through customers perspectives. The results of the factor analysis and multiple regression analysis revealed that perceived usefulness, security, ease of use, anonymity, and efficiency have significant influences on consumers perception of e-payment. However, insignificant results were obtained for trust, risk, reliability, convertibility, traceability and applicability. The findings of the study indicate that the majority of the respondents confirm that there is a potential risk to use online services that deters using an electronic payment system. This study empowers that e-payment service providers and regulators need to bring new technologies like blockchain technology, cryptocurrencies that supports electronic cash system for safe transactions and secure money flow in the e-world.
Keywords: technology innovation; electronic payment; technology acceptance model; TAM; consumer perception; perceived usefulness; perceived ease of use; security; trust; anonymity.
A Longitudinal perspective of mHealth Services: The Impact of Trust and Perceived Usefulness
by K. Anil Babar
Abstract: Consumer beliefs like trust are considered as significant determinant of mHealth services adoption. However, very few research has focused on how consumer trust in mHealth services evolves over time. And research has not yet measured the potential role of trust or how early-trust might influence the post-adoption and usage. To fill this gap, this study has drawn on extended valence theory and expectation-confirmation theory in a longitudinal study of trust in mhealth services. This study examined how other beliefs of the consumers (perceived usefulness) interacts with trust and how these beliefs together impacts the users behaviour and intention concerning mHealth services at both pre and post usage. Data were collected from the university students pre and post usage with the duration of eight weeks. The outcome of the study exhibited that trust and perceived usefulness are crucial beliefs at both pre and post stages in consumer acceptance of mHealth services.
Keywords: mHealth service; perceived usefulness; pre-trust; post-trust; customer satisfaction; longitudinal study.
Workplace Spirituality and Knowledge Hiding Behavior: A PLS-SEM Analysis
by Ayman Alnaimi, Ammar Almasri, Shafique Ur Rehman
Abstract: Knowledge management has become an important area of focus for businesses due to its importance for efficiency and productivity. Considerable research has focused on the contributions that workplace spirituality has on knowledge sharing; far less research has examined whether spirituality can mitigate or lessen knowledge hiding behaviour. This article determines the interaction between workplace spirituality and knowledge hiding behaviour among bank workers in Jordan. The bank employees were sampled randomly (n = 156), and the collected data is analysed using the PLS-SEM technique. The findings suggest that workplace spirituality may play a greater role in diminishing knowledge hiding behaviour. In particular, workplace spirituality diminished evasive and playing dumb knowledge hiding behaviour, but not rationalised knowledge hiding. This article concludes with discussions on the theoretical and practical implications of the findings as well as directions for future research.
Keywords: knowledge hiding behaviour; workplace spirituality; personality traits.
Invariance analysis across industry sub-groups using the End User Computing Satisfaction instrument
by A.K.S. Sukumaran
Abstract: Reliable comparisons on end user satisfaction could be drawn through invariance analysis when different applications and population sub-groups used a standardised instrument. The present study tested the measurement invariance of the end user computing satisfaction (EUCS) instrument among the industry sub-groups of a university, a manufacturing organisation, and a hospital in order to consider the scale as a standard instrument to measure the end user satisfaction in information technology and its applications. The invariance of user satisfaction based upon the population sub-groups of age, gender, and work experience and management position were also tested across these industry sub-groups. The EUCS instrument was found to be robust for the measurement of the first order factors of end user satisfaction, content, accuracy, format, ease of use and timeliness. However, the analysis revealed that the instrument required revision of the factors for the measurement of end user satisfaction.
Keywords: end user computing satisfaction; EUCS; industry sub-groups; population sub-groups; multi-group analysis; invariance analysis; information system success.
CORPORATE SOCIAL RESPONSIBILITY AND GREEN HUMAN RESOURCE PRACTICES IN JORDAN: TRIPLE-BOTTOM APPROACH
by Rawan Alshawabkeh
Abstract: The aim of the study is to investigate the effect of green human resource management (GHRM) practices on corporate social responsibility (CSR) and the triple bottom lines of performance (TBL). Data were harvested from managers of pharmaceutical firms in Jordan using a five-point Likert scale administered to a purposive sample consisted of 200 managers. Responses used in data analysis composed 71% of the distributed questionnaires. The results supported the hypotheses that GHRM exerts significant effects on CSR and economic performance while CSR shows significant effects on social and environmental performance. The study contributes to the body of knowledge on TBL of performance through emphasising that GHRM is a key antecedent of CSR as well as GHRM and CSR are crucial prerequisites for organisations to boost their TBL of performance. Meanwhile, scholars are recommended to examine such results to deep our understanding of the effect of GHRM and SCR on TBL of performance, as well, managers are required to pay a great attention to both GHRM and CSR due to their simultaneous effects on TBL of performance.
Keywords: green human resource management; GHRM; corporate social responsibility; CSR; triple bottom line; TBL; performance; pharmaceutical firms.
Towards a Set of Guidelines for Software Development in Startups
by Bruno H. Cavalcante, Guilherme Guerino, Gislaine Camila Lapasini Leal, Renato Balancieri, Edwin Vladimir Cardoza Galdamez
Abstract: Software start-ups generally use development practices that are adapted to their agile and innovative environment. However, these practices, although consolidated, may not be the best ones for a specific context. This paper aims to present a set of guidelines for software development in start-ups. It also aims to show the results of three studies to validate and refine the proposed guidelines: a confirmatory survey, a focus group, and an expert panel. The participants were actors from both the industry and the academia. The results revealed that the guidelines obtained a positive perception from the participants of both contexts. Based on their approval, we can infer that those guidelines can increase the quality of products generated by start-ups and the chances of success for these organisations. Besides, the need for some improvements has been identified, and they will be implemented in the next version of the guidelines.
Keywords: software start-ups; development process; guidelines; development practices; software development.
Customers perception of online shopping risks: A Multi-Group Analysis Approach
by Sundus Alyatama, Mahmaod Al-rawad, Adel Al Khattab, Sliman AlSoboa
Abstract: This paper aims to examine the effect of various forms of risk and uncertainty on customers intention to use online shopping services. The paper also investigates the moderating effect of socio-demographic variables including age, gender, and previous experience on the relation between perceived risk and customer intention to engage in online shopping activities. Data were collected using a self administered questionnaire from respondents in three different countries: Jordan, Saudi Araba, and Kuwait. A total of 558 valid responses were obtained and analysed. First, the research instrument validity, reliability, common method bias (CMB), and measurement invariance were assessed using confirmatory factor analysis (CFA) and chi-square difference tests. The results suggest that 24% of the variance in customers intention to use online shopping services can be explained by the proposed model. Financial risk, privacy risk, and information risk were more relevant to customers purchase decisions. Among these effects, financial risk has the most significant negative effect, followed by information and privacy risk. The multi-group analysis revealed that the level of perceived risks on the customers intention to use online shopping services is significantly higher for respondents with no previous experience. Further, no support was found for the moderating effect of age and gender.
Keywords: online shopping; purchase intention; perceived risk; privacy risk; socio-demographic; information risk; Jordan; Kuwait; Saudi Arabic; measurement invariance.
Towards a Heuristic Frame for Opportunity Development of Business Models for Mobile Applications in Developing Countries: The Case of a Brazilian Healthtech
by Gabriel Cavalheiro, Mariana Cavalheiro
Abstract: With the widespread introduction of new digital technologies leading to new processes, products, markets, and ways of organising, entrepreneurs must discover opportunities in which to strategically exploit the new technologies. Based on an extensive literature review, this study proposed a model of entrepreneurial action that takes into account entrepreneurs experiences of risk-taking, opportunity identification, and action. In order to validate the proposed framework, we apply the model to examine the growth trajectory of a Brazilian healthtech start-up. Therefore, this article seeks to contribute to filling a knowledge gap in the entrepreneurship literature using empirical evidence on the identification and development of a business opportunity. It became clear that the opportunity identification and development process focused on filling perceived gaps and involved expanding traditional capabilities within the activities of physicians, as well as acquiring expertise from outside the boundaries of the medical arena.
Keywords: entrepreneurship; opportunity identification; start-up; healthtech; opportunity development.
Role Of Maturity In Assessing The Benefits Of Video Lecture Capturing In Higher Education: A Case Study Of Business Students of Qatar
by Habib Ullah Khan, Rami Zeitun
Abstract: The intervention of technology in education realm made the world witness umpteen developments like video lecture capturing, learning models and others. In spite of the great influx of these artefacts, understating the thought process of the end user (teacher or taught) has always remained a puzzle. As the requirement seeking process and the decision making process of the users is much volatile and largely depends on the subjective factors of the societies, there is every need to track the minds of the end users from time to time. The present study is exploring the role of students maturity in assessing the benefits of video lecture capturing in Qatar. The students of College of Business and Economics at Qatar University are considered for the study. Apart from seeking the opinion of the students using standard scale, they are allowed to share their views for the betterment of VLC system
Keywords: video lecture capturing; VLC; lecture capturing; LC; education technology; maturity; personality-related benefits; course-related benefits; learning-related benefits; Qatar.
Precarious Workers in the Era of Digitalization: Identifying the Job-Related Outcomes of Insecurity
by Asghar Afshar Jahanshahi, Milagros Mendoza Rivas, Alberto Yony Quiroz Castillo
Abstract: In the era of digitalisation, non-tech and precarious workers suffer from high levels of job instability and receive lower wages compared with permanent and tech workers. We conducted a survey among 201 non-tech and precarious workers in Peru in order to identify the consequences of job insecurity among them. These groups of non-tech and precarious employees worked for small private companies which located in the districts of Chimbote and Nuevo Chimbote in the northern part of Peru. We considered the effects of job insecurity on workers job dissatisfaction, vitality, friendship, positive works attitudes, and social support. The SPSS software has been used for teasing the hypotheses of the study. Our results showed that job insecurity decreases non-tech workers vitality and increases their job dissatisfaction. Furthermore, our findings reveal that a higher level of job insecurity is related to lower levels of friendship in the workplace. More interestingly, we found a negative association between job insecurity and non-tech and precarious workers social support of each other in the workplace. It seems that precarious workers less care about each other needs and demands once the perception of job insecurity among them is very high.
Keywords: non-tech workers; precarious workers; job insecurity; job dissatisfaction; vitality; friendship; positive work attitudes; social support.
Systematic literature review on the influence of Business Intelligence (BI) capabilities on BI systems success and Firm Performance: An Asian Perspective
by Phan KY, Ai Ping Teoh
Abstract: Optimising firm performance has been an important issue in most business organisations in todays uncertain business environment. This systematic literature review (SLR) aims to determine the influence of business intelligence (BI) capabilities on BI systems success and to discover if the success of BI systems directly improves firm performance in Asian countries. This SLR was based on the publication standard, Reporting Standards for Systematics Evidence Syntheses (ROSES) incorporating multiple research design methods. Articles were sourced from four major scientific databases namely Scopus, ScienceDirect, Emerald and Taylor & Francis. Only selected articles published from 2016 to 2020 were considered. Selection articles focused on BI/big data analytics capability and BI systems success in selected firms. Using the thematic analysis, this review found four main themes namely technology capability; organisational culture capability; people capability and management capability. The four main themes further produced 14 sub-themes.
Keywords: business intelligence success; business intelligence capability; resource-based view; RBV; dynamic capabilities; IS success model.
Modelling Blockchain Technology Adoption in the Supply Chain: Evidence from an Emerging Country
by Ali Vafaei-Zadeh, Ahmad Emir Rastan, Haniruzila Hanifah, Ai Ping Teoh, Khaled Nawaser
Abstract: The study aims to investigate the factors influencing the supply chain professionals intention to use blockchain technology, using the technology readiness index (TRI) and technology acceptance model (TAM) and considering several important variables. This study was carried out by the targeted respondents of the supply chain professional in Malaysian manufacturing companies, leading to a total number of 152 data collected through purposive sampling approach. The results of this study showed that optimism and innovativeness have a significant, positive impact on both perceived ease of use (PEU) and perceived usefulness (PU), in contrast to discomfort and insecurity with no effects. Perceived cost and PU also positively affected the attitude, whereas PEU left the attitude intact. The three factors including perceived cost, trust of supply chain stakeholder, and attitude, contrary to blockchain transparency, exhibited a significant and positive impact on intention to use blockchain technology.
Keywords: blockchain technology; BT; sustainable supply chain; technology readiness index; TRI; technology acceptance model; TAM; technology adoption; Malaysia.
E-recruitment Adoption among Job-seekers: Role of Vividness and Perceived Internet Stress in shaping their intentions
by DAVINDER KAUR, Rajpreet Kaur
Abstract: Drawn from technology acceptance model, this study establishes a theoretical framework for the analytical interpretation of factors affecting job-seekers intention to use e-recruitment websites. Using the data obtained from 379 respondents in India, ten hypotheses derived from the experimental model are evaluated using a structural equation modelling technique. Vividness, perceived usefulness (PU), and Attitude have been shown to have a significant positive impact on the behavioural intentions (BIs) of job-seekers, although perceived ease of use (PEOU) did not. Furthermore, perceived internet stress (PIS) is observed to be a significant antecedent PEOU; and PEOU is of PU. Such findings broaden our knowledge of e-recruiting in various ways and offer qualitative insights into the potential impact of website functionality on the attractiveness of job-seekers.
Keywords: e-recruitment; technology acceptance model; TAM; vividness; perceived usefulness; perceived ease of use; PEOU; behavioural intentions.
SECURE DATA SHARING USING BLOCKCHAIN-BASED KEY AGGREGATION CRYPTOSYSTEM (BKAC) IN CLOUD ENVIRONMENT
by Munsif Sokiyna, Musbah Aqel
Abstract: In recent years, cloud computing plays a vital role in data security and the biggest challenges in applications of cloud computing are trust computing. There are a lot of studies under security for enhancing the blockchain security continuously to define the problems and reported actively. In blockchain security, accounts for many issues currently in the cloud computing environment. There are a lot of studies providing to solve these issues in blockchains like transactions, software maintenance and wallet security. In cloud computing, storage is provided securely and efficiently to the user to share their data partially and provide access to others over the searches. Therefore, the secured blockchain is provided by presenting methodology of security have been discussed in this study. On the other side, efficiency also required with security for transmitting a large amount of information which are considering in a cloud environment.
Keywords: data sharing; blockchain; IoT; cryptography; key aggregate cryptosystem; blockchain-based key aggregation cryptosystem; BKAC.
CORPORATE SOCIAL RESPONSIBILITY OF CANARA BANK - A SYSTEMATIC STATUS REVIEW
by Naveenan RV, Jarin T, Boselin Prabhu
Abstract: Critiques claim that, the very concept of corporate social responsibility (CSR) is agenda of the North, which has a narrow focus. Organisations devise a special system to undertake socially responsible activities and report the same. Such organisations are equally supported by banks that are considered to be one of the pillars of the society. Banks have a key role to perform, not only financially but also socially. As a part of society, they contribute to the society through its CSR activities. Thus, banks were observed to be involved in numerous social responsibility activities for the development of society. This study aims at analysing the trends in CSR activities of Canara Bank. This helps us to understand various contributions made by Canara Bank for various social improvement activities. The study is conducted to understand and analyse the various CSR activities accomplished by the bank.
Keywords: India; commercial banks; corporate social responsibility; CSR; community welfare; public sector banks.
An Innovative Approach of Selecting Cloud Provider through Service Level Agreements
by Aveek Basu, Sanchita Ghosh, Sraboni Dutta
Abstract: Cloud computing has redefined the IT industry in current scenario and can be considered as one of the latest technological advances in modern era. The concept of multi-tenancy facilitates cloud service providers to leverage the cost by providing services to multiple users at the same time via shared resources. In such circumstances, service level agreement (SLA), a set of rules between the consumer and provider, carry a great significance to ensure the quality of service and expected outcomes. In order to settle disputes arising on the expected level of service, the cloud SLA brings a few guidelines and rule sets based on prior agreements between these two parties. So, as a cloud customer it is quite challenging to decide the most suitable cloud provider based on the SLA commitments proposed by providers. In this research, the fuzzy weighted sum model and weighted product model method are applied in this context.
Keywords: multi-criteria decision analysis; MCDA; service level agreement; SLA; weighted sum model; WSM; weighted product model; WPM; cloud service provider; CSP; data security; service credit.
Effect of Intellectual Capital and Information System Capability on Effective Strategic Decision Making to achieve financial performance
by Raden Edi Sewandono, Armanu Thoyib, Djumilah Hadiwidjojo, Ainur Rofiq
Abstract: This study analyses the importance of intellectual capital and information system capability applied in state-owned companies in Indonesia, influencing the companys financial performance through mediating variables. Using the theory of resource-based view (RBV) and bounded rationality to investigate these relations, a series of hypotheses are developed, considering effective strategic decision-making as a mediator variable. The study analyses structural equation modelling (SEM) derived from empirical data from 106 companies in Indonesia. The study attempts to precisely analyse how the impact of intellectual capital and information system capability on established state-owned companies in Indonesia is affected by effective strategic decision making. The research exposes that information system capability does not influence financial performance, whereas intellectual capital and information system capability indirectly leverages financial performance through effective strategic decision-making.
Keywords: intellectual capital; information system capability; ISC; effective strategic decision making; financial performance.
Identifying specific interest areas of Twitter users tweeting about cryptocurrencies
by Ahmet Onur Durahim, V. Asl?han Nas?r, Samet Say?n
Abstract: Social networking sites (SNSs) are web-based online platforms on which users can express their opinions, ideas, lifestyles, share messages and news and communicate with other users. There is limited research conducted on identifying and investigating the interest areas of cryptocurrency users by using SNSs as a data source. In this research, the interest areas of Twitter users who tweeted about cryptocurrencies were investigated by scrutinising their tweets with a topic extraction algorithm. Aligned with the purpose of this study, Twitter users and their tweets were collected with a search query that consisted of cryptocurrency-related words. Then, these tweets were examined and interest areas of users were identified via topic extraction. According to the results of this research, Twitter users who tweeted about cryptocurrencies were also interested in the impact of globalisation, economy, disruptive technologies, politics, digital banking and finance, social life and data science in a descending order of interest.
Keywords: cryptocurrencies; social networking sites; topic identification; topic modelling; fintech; disruptive technologies; digital banking and finance; social media; data science; Twitter.
Applying a Multiplex Network Perspective to Understand Performance in Software Development
by Matthew Oladeji Ajimati, Rick Aalbers, Eoin Whelan, Hans Van Kranenburg, Lorraine Morgan
Abstract: A number of studies have applied social network analysis (SNA) to show that the patterns of social interaction between software developers explain important organisational outcomes. However, these insights are based on a single network relation (i.e., uniplex social ties) between software developers and do not consider the multiple network relations (i.e., multiplex social ties) that truly exist among project members. This study reassesses the understanding of software developer networks and what it means for performance in software development settings. A systematic review of SNA studies between 1990 and 2020 across six digital libraries within the IS and management science domain was conducted. The central contributions of this paper are an in-depth overview of SNA studies to date and the establishment of a research agenda to advance our knowledge of the concept of multiplexity on how a multiplex perspective can contribute to a software developers coordination of tasks and performance advantages.
Keywords: multiplexity; software development; communication network; social network analysis; SNA; software developer; performance.
Adopting Social Networks in Higher Education: A Study on Facebook as E-learning Tool
by Muneer Abbad
Abstract: In higher education, an increasing number of learning institutions are utilising social networks as e-learning tools. Developing countries in particular are experimenting with the use of such networks. It is imperative to review and extend the technology acceptance model (TAM) to enhance the application of social networks in e-learning. The main objective of this study was to determine the factors that affect students intentions to use social networks, such as Facebook, as e-learning tools. An online survey was administered to collect data from undergraduate students at the Hashemite University in Jordan. Structural equation modelling was employed to analyse the data and test the hypotheses. The results indicated that students intentions to use social networks as e-learning tools were directly and indirectly influenced by perceived ease of use, perceived usefulness, and perceived enjoyment. The proposed model explained 74.6% of the variance and achieved an acceptable fit. The implications of the results, limitations of the study, and future research were then considered.
Keywords: social networks; e-learning; TAM model; higher education; Facebook; Jordan; developing countries.
A Study of Knowledge Management in Energy Industry in India - Managing Failure
by RICHA SHARMA
Abstract: Knowledge management (KM) is important for energy industries. Presently, it was aimed to study the prevalence of KM practices in energy industries in India. A questionnaire was prepared. About 516 respondents from the 47 energy industries from different sectors participated in the survey studies. KM was being widely practised in all of these leading industries which have good organisational performance. Studies reflected that a flexibility approach should be adapted in dealing with employees in failure management. Learning from the failures would lead to a culture of lifelong learning in these industries which are well on their path to become learning organisations. This would encourage and motivate the employees to undertake challenging and risk averse works in future which may result in innovations and may also lead to the successful organisational performance. KM is also an essential part of information systems in organisations. KM is a lifeline of energy industries.
Keywords: knowledge management; energy industries; flexibility; failure management; promoting research work; organisational performance; India.
Ubiquitous Computing to Accessible Way-finding: A Systematic Mapping Study
by Willian Werlang, Juarez M. Da Silva, Wesllei Heckler, Marcelo J. Telles, Jorge Barbosa
Abstract: The evolution of ubiquitous computing allowed the creation of smart cities. These cities use technologies to improve the life quality of their inhabitants, improving accessibility. This paper uses a systematic mapping study to analyse the works with ubiquitous computing to accessible way-finding, considering wheelchair users. This systematic review evaluated seven research questions considering project feasibility and solution functionalities. The research had twelve papers selected for the final phase. Most of these papers propose solutions with low investment to the user part. Some solutions can be optimised for a whole city context and support indoor and outdoor environments. The results also showed that most studies use trail management, while 58% support profile management and customisation. We found two research gaps: 1) lack of a testing methodology with a dataset capable of representing a complete city context; 2) a most extended period of test to evaluate the viability of the proposed solutions.
Keywords: ubiquitous computing; ubiquitous accessibility; path-finding; trail management; people with disability; wheelchair users; smart cities; smart spaces; accessible environment; accessibility.
Green Computing: The growing concern on Information Management, E-waste, Safety Health and Environment
by Maitanmi Stephen, Tubosun Fagbe
Abstract: The application of information technology and computing in every facet of human endeavours across the global community with an increase in usage poses serious challenges to the users safety, health and environment (HSE) due to the existence of green computing in Nigeria. This study focused on information technology and communication (ICT) equipment. This article also considered green computing, carbon emission and e-waste awareness level of Nigerians via a simple random survey technique. Total enumeration of the respondents were used with a validated questionnaire which has a reliability test that ranges from 0.791 to 0.803. It was discovered from the descriptive statistics that there is limited knowledge on the proper disposal of mobile devices, laptops and other electronic devices which has adversely increased the environmental e-waste and carbon emission. E-waste knowledge management has not provided significant information especially public knowledge on ewaste management of computers and phone in Nigeria.
Keywords: electronic; e-waste; environment; green computing; health; information technology; management; safety.
Moderating Effect of Customer Relationship Management on the Relationship between Electronic Marketing and Effectiveness of Integrated Model of Marketing Communication
by Hanan Almomani, Mohammad Alhalalmeh, Ghufran Hijjawi, Mohammad Eldahamsheh, Sulieman Al-hawary
Abstract: The purpose of this study is to determine the moderating effect of customer relationship management in the relationship between e-marketing and the effectiveness of integrated model of marketing communication. Data were collected from 322 respondents through a questionnaire-based survey. Moreover, structural equation modelling (SEM) was used as an inferential statistical analysis technique to test the hypotheses of the study while determining the moderating effect along with path assessment and CFA. The result of this study revealed that there are significant effects of e-mail marketing, mobile marketing, social media marketing and customer relationship management on the effectiveness of integrated model of marketing communication. On the other hand, it was found that customer relationship management moderates the relationship between social media marketing and the effectiveness of integrated model of marketing communication. Based on these results, companies are recommended to consider the importance of e-marketing in elevating the effectiveness of integrated model of marketing communication and to consider CRM to increase the effect of social media marketing on the effectiveness of integrated model of marketing communication. Further studies should be conducted to confirm the results and retest the moderate effect of CRM using other samples from other industries.
Keywords: electronic marketing; customer relationship management; CRM; integrated model of marketing communication.
The turnover intention of young employees in the IT industry
by A.K.S. Sukumaran
Abstract: Employee turnover process models considered job satisfaction as the key factor in the formation of turnover intention of employees and that job satisfaction negatively affected turnover intention. These models considered job satisfaction in isolation and examined career growth and supervisory interpersonal justice as antecedents of job satisfaction or turnover intention. However, this study posited career growth and supervisory interpersonal justice as the key mediator variables in job satisfactions relationship with turnover intention considering the significance of those two factors for the young and educated employees in the IT industry. The mediation approach enabled to unlock the complex chain of relationships between job satisfaction and the turnover intention of employees. While career growth was found to enhance the negative and expected influence of job satisfaction on the employees intention to change jobs, supervisory interpersonal justice acted in the opposite direction and depleted the negative effect of job satisfaction on the turnover intention of the employees in the IT industry.
Keywords: IT industry; young employees; turnover intention; job satisfaction; career growth; supervisory interpersonal justice; mediation analysis.
Artificial Neural Networks for Demand Forecasting of the Canadian Forest Products Industry
by Shashi Shahi, Peizhi Yan, Salimur Choudhury, Bharat Maheshwari
Abstract: The supply chains of the Canadian forest products industry are largely dependent on accurate demand forecasts. The USA is the major export market for the Canadian forest products industry, although some Canadian provinces are also exporting forest products to other global markets. However, it is very difficult for each province to develop accurate demand forecasts, given the number of factors determining the demand of the forest products in the global markets. We develop multi-layer feed-forward artificial neural network (ANN) models for demand forecasting of the Canadian forest products industry. We find that the ANN models have lower prediction errors and higher threshold statistics as compared to that of the traditional models for predicting the demand of the Canadian forest products. Accurate future demand forecasts will not only help in improving the short-term profitability of the Canadian forest products industry, but also their long-term competitiveness in the global markets.
Keywords: artificial intelligence; artificial neural networks; ANNs; forest industry competitiveness; demand forecasting; uncertain demand and supply.
Adoption of digital banking technologies by nascent entrepreneurs in the era of transformative business information systems
by Mohammad Rashed Hasan Polas, Asghar Afshar Jahanshahi
Abstract: Nascent entrepreneurs are those peoples who are in the early stage of starting a new business. In this study, the researchers attempted to determine what factors trigger a nascent entrepreneur to adopt digital banking technologies (applications and services)? To answer this question, this research tested the direct relationship between perceived security factors, the internet experience factors, and marketing exposure factors with nascent entrepreneurs adoption of digital banking technology. Moreover, we tested the indirect effects of these three factors with entrepreneurs adoption of digital banking technology through perceived usefulness. The study hypotheses were tested using a sample of 377 Bangladeshi nascent entrepreneurs who had participated in an entrepreneurship program and are in the process of starting a business. The findings revealed that nascent entrepreneurs with marketing exposure and perceived security are more likely to employ digital banking technology; perceived usefulness mediates the relationship between internet experience, and marketing exposure with adoption of digital banking technology.
Keywords: digital banking technologies; marketing exposure; nascent entrepreneurs; networking ability; perceived usefulness; perceived security.
INVESTIGATING THE INFLUENCE OF IT INACCESSIBILITY AND SOCIAL PRESSURE ON EMPLOYEES SHADOW CLOUD IT USAGE DURING THE COVID-19 PANDEMIC MCO PERIOD.
by Fowokemi Ogedengbe
Abstract: The sudden massive reliance of organisations on cloud IT systems has led to increased shadow cloud IT systems usage among employees during the COVID-19 pandemic global lockdown. The purpose of this study is to empirically examine the correlation between organisational structural factors on employees shadow cloud IT usage during the MCO period. This research follows the quantitative approach design. The respondents are employees, and data collection was carried out using the online survey method. Data analysis was carried out using SPSS and PLS-SEM. The result shows that IT inaccessibility and social pressure directly correlate with employees shadow cloud IT usage as many employees lack access to official IT tools while working from home. The implication of this reflects that many organisations have a higher risk of information systems infiltration, increased exposure to security threats, and data breaches due to the increased employee interactions with shadow cloud IT systems.
Keywords: shadow cloud IT; strain theory; COVID-19 pandemic; movement control order; MCO; IT inaccessibility; social pressure; cloud information systems.
Return on Investment (RoI) Based Suitability Assessment Model for Cloud Migration
by Asma Zubaida Mohamed Ibrahim, Masnida Hussin
Abstract: There are many IT-based organisations shown interested in moving their business operation into a cloud-enabled system as they noticed that cloud-oriented gives better revenue and return. In order to migrate, there are many operational features that need to be assessed. For the cloud migration process, the assessment of the organisation are important to ensure the business revenue and returns remain positive. However, due to numerous business data needed to be collected and analysed, some organisations do not take that action seriously. Absence in carefully measuring such data/information for cloud migration will have effect on the return on investment (RoI) outcome. In this work, we present a practical model name as SAROIC for estimating the suitability and the return on investment of cloud computing migrations from the cloud user perspective. This model aims to overcome such limitations by providing a step-by-step process for estimating a comprehensive ROI of cloud migration. This will further help the cloud user in decision making.
Keywords: cloud computing; suitability assessment; return on investment; RoI; cloud migration; decision making.
Role of Perceived Risk and Computer self efficacy in predicting online stock trading intention.
by Rajdeep Raut, Rohit Kumar
Abstract: This study examines the impact of behavioural antecedents on individual investors intention in the context of two most risk intensive decision-making areas, i.e., stock market and technology. The variables of the theory of planned behaviour and technology acceptance model were taken together along with two external variables: perceived risk and computer self-efficacy to hypothesise the conceptual model. The findings, based on 258 valid responses, showed that all variables, except perceived usefulness and subjective norms, had a significant impact on investors intention to trade online. It was also found that attitude and perceived risk were significantly playing the mediating role to strengthen the relationships; however, perceived risk was found to be a partial mediator between computer self-efficacy and intention of investors. Finally, perceived risk was also found to be a significant moderator of online trading intention of investors. This study has provided a successful implication of an integrated model and suggested practical and managerial implication of the findings.
Keywords: information and communication technology; ICT; technology acceptance model; TAM; theory of planned behaviour; TPB; investment decision; stock market.
Reliable Methodology for Acquiring Exact Road Accident Information Using Deep Learning
by Sophia S, Iyswarya K, Boselin Prabhu, Sridevi Unnikrishnan
Abstract: In a highly populated country like India, the death rate increase alarmingly due to road accidents. Various reasons for road accidents include rash driving, violating the speed limits, drunken drive, bad weather conditions, improper road construction and maintenance, etc. For avoiding these road accidents, intelligent prediction of the occurrence of road accidents would be greatly helpful. The main intention of the research in this paper is to formulate an information-centric road safety mechanism that shall increase safety to human lives. This paper deals with the proposal of a reliable deep learning technique for prediction of road accidents through a comparative analysis of K-nearest neighbours (K-NN) algorithm and Regression algorithm. Coimbatore city located in Tamilnadu, India is being chosen for the data procurement. Various causes that lead to accidents and their impacts like death rate, time of accidents and category of vehicles involving in the accidents were chosen for analysis. On the basis of comparative analysis and its prediction results, this research work aids in modelling an information-centered road safety mechanism that helps in preventing future road accidents in a cost-effective way.
Keywords: reliable transportation; information-centric approach; regression algorithm; deep learning; predictive analysis; road accidents; accident prone areas.
E-Governmanet in the perspective of college students (Lessons from user satisfaction)
by Yulita Setiawanta
Abstract: This research to purpose and clarify the relationship between the users and the developer of information service on the web of Directorate General of Tax (DGT), Ministry of Finance of the Republic of Indonesia and to clarify the D&M model of IS success concept and to examine the consistency or irrelevant part of the model. It is the official portal of the government related to education and legal literacy and taxation in Indonesia, which is a mandatory portal for accounting students taking taxation courses. Designing an observation study through indirect interviews by questionnaires. Random sampling was conducted and get 122 respondents. This research finding an insight that the D&M IS success model is well confirmed by system quality and information quality, except for service quality. The recommendation to improve service quality for information system developers in the future.
Keywords: system quality; information quality; service quality; user satisfaction; tax; accounting; e-government; information system.
Role of IT capacity in customer churn for electronic retailers in oligopoly market using game theory approach
by Maryam Esmaeili, Sahar Vatankhah
Abstract: This paper examines the customer churn for e-retailers in oligopoly markets and simultaneously considers IT capacity and marketing. When the customer churn occurs, the customers leave this e-retailer and join the other ones. Moreover, the market share of each e-retailer depends on its marketing rate, rival companies, and IT capacity. The competition between the companies is examined in an oligopoly market. The rate of customer reduction is considered to determine the efficient marketing policy leading to maximizing each players profit. The relation between e-retailers is modelled as an infinite horizon, non-cooperative differential game. A differential game theory is employed to obtain the market share, marketing rate, and IT capacity of each e-retailer. Besides, a numerical example and sensitivity analysis are presented to illustrate the proposed model. Finally, it was revealed that the companies do not need to spend money on marketing efforts by prioritizing their IT capacity.
Keywords: marketing; customer churn; game theory; IT capacity; market share.
Developing an APP Proposal for Tuk-tuk service management
by Eduarda V. Perdigão, Bráulio Alturas
Abstract: In most tuk tuk companies, outdated methods are used in the daily management of the company, which makes the processes slow and time-consuming. So, it was found that it was necessary to use information technologies to make tuk tuk companies more effective in daily management. Therefore, the main objective of this project was the development of an application, that works like an information system, for tuk tuk companies. The requirement gathering carried out, allowed conclusions to be reached about the type of information that was to be relevant in the application as well as its functionalities. It was concluded that it is necessary to have two types of applications, a mobile and a desktop. The App brings advantages related to the reduction of errors in the database, overview and knowledge of the employees work, and improvement in time management that can increase the productivity of the companys managers.
Keywords: business analytics; cloud; business information systems; business intelligence; dashboard; mobile apps; desktop apps; key performance indicators; tuk tuk; tourism.
Analyzing of online user reviews via Latent Dirichlet Allocation: Moroccan Mobile banking case
by Meriem Tabiaa, Madani Abdellah
Abstract: Nowadays, most organisations make their mobile applications available through different stores, such as Google Play Store, Apple App Store, and Windows Phone Store. Banks and financial institutions have also provided mobile applications for their customers. These app stores not only allow users to download applications but also to leave comments and reviews. In the present paper, we will first explore eight Moroccan mobile banking apps in the Google Play Store. Data that has not been exploited by Moroccan banks yet.
Once the preprocessing phase is complete, we will examine and analyse user reviews using latent Dirichlet allocation (LDA) to extract and identify topics. Topics discovered focus mainly on security, services, quality and interface. While customer reviews can influence future demand, it may also be useful to decision-makers to improve their services and customer experience.
Keywords: latent Dirichlet allocation; LDA; topic model; e-banking; electronic banking; user reviews; consumer feedback.
The Contribution of Data Visualization Tools Towards a Better Customer Relationship Management
by Bayan Ghozlan, Emad Abu-Shanab
Abstract: Data is a valuable asset for businesses if it is visualised to enable decision-makers to gain insights that help them earn a competitive advantage or better market share. The visualisation process not only supports decisionmakers but also scientists, journalists, and healthcare workers. Many visualisation software evolved to help general users and experts better present their data easily and attractively. In this study, we conducted a new comparison among six available tools based on specific criteria, and we tried to build a framework for the questions to be explored concerning customer relationship management (CRM), data visualisation (DV) activities, and how DV tools can contribute to building better CRM activities and processes. The studied tools have never been studied together and in the same context.
Keywords: data visualisations tools; D3.js; GoogleCharts; FusionCharts; Tableau; RAWGraph; Datawrapper; customer relationship management; CRM.
FACTORS INFLUENCING ONLINE PURCHASE DECISIONS OF PHARMA PRODUCTS BY BABY BOOMERS: MEDIATING EFFECT OF CONSUMER BEHAVIOUR AND ATTITUDE ON TRUST DEVELOPMENT
by Balakrishna Maddodi, Dasharathraj K. Shetty, Nisha S. Tatkar, Karthikeyan Parthasarathy, Shridutt B, Suyash Kumar Prasad, Pavithra S, Nithesh Naik, Delaram Mahdaviamiri, Vathsala Patil
Abstract: The COVID-19 pandemic introduced the term new normal in everyones life. Be it health, trade, or sales; all humans are suffering and managing to survive newfangled. However, the e-commerce industry has emerged exponentially to footslog all odds through intelligent and innovative trade practices during this period. Due to the pandemic, the Indian government imposed stringent lockdowns across the country, and individuals were forced to shop online for their basic needs. The silent generation and the baby boomers have emerged as potential buyer segments during the pandemic. Several studies have indicated that trust is an essential factor that influences their buying behaviour. However, limited research has been done to identify the dimensions influencing consumer trust and test its antecedents empirically, specifically among the baby boomers and the silent generation population. The present study attempts to identify and empirically test the antecedents influencing the trust of baby boomers and the silent generation for buying medicines online. A systematic review was carried out to identify the antecedents influencing trust, which were then tested using SEM analysis. A total of 314 responses were collected and tested using SmartPLS software. The results of the study indicate that out of the six variables tested, only Brand image, Monetary and Offline presence influence the trust of baby boomers and the silent generation for buying medicines online in India.
Keywords: e-commerce; consumer trust; baby boomers; silent generation; pharmaceuticals products.
THE IMPACT OF COVID19 ON DIGITAL MARKETING AND MARKETING PHILOSOPHY: EVIDENCE FROM JORDAN
by Anber Mohammad
Abstract: The purpose of the study was to examine the impact of COVID-19 pandemic on digital marketing and marketing philosophy. The study population consists of managers and employees working in the marketing department of companies operating in Jordan. Non-probability convenience sampling was adopted in terms of gathering the data. For this purpose, managers and employees from the marketing departments were surveyed and 318 responses were obtained that were in appropriate form to be included in the statistical analysis. Meanwhile, for empirical analysis, confirmatory factor analysis (CFA) and partial least square (PLS) were used and Smart PLS was used as statistical package. The findings of the paper have revealed that COVID-19 has a significant impact on digital marketing and marketing philosophy. Therefore, it can be evidently claimed that the emergence of the pandemic has not just threatened the survival of the firms in Jordan but has also provided an unprecedented opportunity to evolve, grow and expand given that presence of consumers online has increased dramatically which has forced organisations to revisit their digital marketing practices and bring significant changes into the marketing philosophy in terms of unique marketing strategy and core marketing concepts with respect to ongoing pandemic conditions.
Keywords: COVID-19; digital marketing; marketing philosophy; Jordan.
Impact of COVID-19 on monitoring human health behavior through digital medium system
by Anuraj Singh, Anurag Singh, Adarsh Kumar
Abstract: COVID-19s impact on human health monitoring via a digital medium system is an essential process in every hospital, public area, and human civilisation scenario to combat the COVID-19 pandemic. However, diagnosing an infected individual is problematic, as some people present no symptoms but are infected with COVID-19. Identification gets more complex when an individual has a high level of immunity but is infected with COVID-19. This issue has significant effects for the elderly and those suffering from deadly conditions such as diabetes, cancer, and thyroid. This study presents a procedure and a patient detection architect for a digital medium system that would connect health workers and citizens and aid in protecting patients, ourselves, our families, society, and the community.
Keywords: COVID-19; digital medium device; drone technology; thermal scanning.
The Effect of Earnings Quality on Internet Financial Reporting in Developing Countries from Different Perspectives: The Case of Jordan
by Mohammed Yassin, Yazid Melhem, Deaa Al-Deen Al-Sraheen
Abstract: Internet Financial Reporting (IFR) is a voluntary disclosure tool that mitigates the agency problem, which causes information asymmetry. This study aimed to investigate the effect of earnings quality (EQ) on IFR. It employed four different measures to measure EQ, and developed an IFR index to measure the content and format of firms disclosures. Data of 226 Jordanian firms listed on the Amman Stock Exchange (ASE) were collected. The univariate analysis reveals that IFR firms are larger, more leveraged, less board independent and have higher EQ than non-IFR firms do. Ordinary least squares (OLS) regression analysis supports that management may use greater voluntary disclosures when current earnings are less informative. Potential simultaneity bias between EQ and IFR was expected to be present. To control for this endogeneity problem, extended two-stage least squares (2SLS) regression analysis was used and supports that good EQ could facilitate foreign investments through disclosing transparent information via IFR. The results are expected to help regulators and policy makers in establishing the building blocks of a conceptual framework for IFR.
Keywords: internet financial reporting; IFR; earnings quality; agency theory; voluntary disclosure; Jordan.
Measuring Business Intelligence & Analytics capability maturity: A study of organizations in India
by Aditi S. Divatia, Jyoti Tikoria, Sunil Lakdawala
Abstract: While there have been studies for development and evaluation of maturity models for measuring business intelligence and analytics (BI&A) capability maturity of organisations, there has been no empirical study done solely for assessing the BI&A capability maturity of organisations. The purpose of this paper is to measure the BI&A capability maturity in organisations. This has been done through an empirical study with a sample of 145 organisations from different industry sectors in India. BI&A capability maturity has been assessed using six influencing factors. Analysis has been done based on industry sectors and segments, where findings have indicated some distinct industry segments with varying BI&A capability maturity. Organisations have also been grouped based on the maturity of six factors using K-means clustering technique. Each cluster was found to be representing a different level of maturity. The clusters have been reorganised to bring out interesting insights about BI&A capability maturity. The study presents important managerial implications.
Keywords: business intelligence; business analytics; capability maturity; k-means clustering; elbow method; factor analysis; maturity level; India.