Template-Type: ReDIF-Article 1.0 Author-Name: Hasan Ali Idhaim Author-X-Name-First: Hasan Ali Author-X-Name-Last: Idhaim Title: Selecting and tuning the optimal query form of different SQL commands Abstract: This paper presents the proposed approach of SQL tuning plan and tool in database systems based on experiments using testing data workload in Oracle 11g XE; to get an optimal execution plan for a given SQL, statements based on process time consumed and statistics about the object related to tables are referenced in the statement. These statistics include the SQL command, running time consumption, tables themselves, their indexes, access methods, and other derived objects. The quality of final execution plan depends primarily on the quality of the information found about the SQL command to improve a poorly-performed query. This work contributes to research knowledge by proposing necessary knowledge and information about database tuning using a useful tool to evaluate SQL commands. The proposed approach helps researchers, database administrators and developers to assess the impact of their decisions in the selection of the optimal SQL statement form. Oracle 11g XE is taken for the experimentation purpose. Journal: Int. J. of Business Information Systems Pages: 1-12 Issue: 1 Volume: 30 Year: 2019 Keywords: Oracle 11g; SQL commands; SQL code tuning; SCT; query; tuning; throughput; evaluation; optimisation; DBA. File-URL: http://www.inderscience.com/link.php?id=97041 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:1:p:1-12 Template-Type: ReDIF-Article 1.0 Author-Name: Farek Lazhar Author-X-Name-First: Farek Author-X-Name-Last: Lazhar Title: Implicit feature identification for opinion mining Abstract: In opinion mining area, mining consumer reviews can give a finer-grained understanding of consumer needs, which can efficiently help companies and merchants to improve the quality of their products and services. However, identifying features on which consumers express their opinions and sentiments is not always a simple task. Some existing approaches that attempt to extract implicit features using opinion words as clues or co-occurrence techniques lead to unsatisfactory results, and that due to the ambiguity caused by common opinion words which are often expressed on various features. In this paper, we propose an approach based on Association Rule Mining (ARM) and classification techniques. The first step consists of creating from a corpus, a set of association rules regrouping explicit feature-opinion pairs. The second step consists to use this set to build a classification model able to predict for each given set of opinion words the appropriate target. Tested on many classifiers, experimental results show that our approach performs better when incorporating many opinion words rather than using single ones. Journal: Int. J. of Business Information Systems Pages: 13-30 Issue: 1 Volume: 30 Year: 2019 Keywords: implicit feature; opinion mining; opinion word; association rules; prediction. File-URL: http://www.inderscience.com/link.php?id=97042 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:1:p:13-30 Template-Type: ReDIF-Article 1.0 Author-Name: Ruby Jain Author-X-Name-First: Ruby Author-X-Name-Last: Jain Author-Name: Madhu Kulhar Author-X-Name-First: Madhu Author-X-Name-Last: Kulhar Title: Barriers to online shopping Abstract: Certain factors affect the consumer buying behaviour while purchasing products online. Out of these, some commonness is discussed in the present paper which affects the adoption of online shopping. A simple search with keywords 'online shopping', 'online shopping of apparels and accessories', 'factors affecting online shopping', 'drivers of online shopping' and 'barriers of online shopping' has been done with Google Scholar. Substantial studies have been conducted globally to find out the factors affecting online shopping adoption. Different models and frameworks are available to understand these factors and it is difficult to present all work altogether. Thus, this paper tries to present a comprehensive framework of the relevant literature as barriers to online shopping. All available studies from 'anytime' referred till the date has been included to build a framework of reviews. Journal: Int. J. of Business Information Systems Pages: 31-50 Issue: 1 Volume: 30 Year: 2019 Keywords: online shopping; adoption; information technology; barriers. File-URL: http://www.inderscience.com/link.php?id=97043 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:1:p:31-50 Template-Type: ReDIF-Article 1.0 Author-Name: Nils-Petter Augustsson Author-X-Name-First: Nils-Petter Author-X-Name-Last: Augustsson Author-Name: Agneta Nilsson Author-X-Name-First: Agneta Author-X-Name-Last: Nilsson Author-Name: Jonny Holmström Author-X-Name-First: Jonny Author-X-Name-Last: Holmström Author-Name: Lars Mathiassen Author-X-Name-First: Lars Author-X-Name-Last: Mathiassen Title: Managing digital infrastructures: negotiating control and drift in service provisioning Abstract: The digital infrastructure literature provides important perspectives on the intrinsic relations between information systems in today's organisations. However, little attention has been paid to the challenges involved in providing requisite digital infrastructure services to organisations. In this paper, we argue digital infrastructure service providers operate in highly complex and uncertain environments. Rather than adopting a traditional approach to control, providers must therefore continuously negotiate a balance between control and drift as two complementary strategies. Our argument is based on a retrospective longitudinal case study of a Swedish infrastructure service team within a large international firm. Using the encounter-episode process model as structuring principle and focusing on the tension between control and drift, we analyse the evolution of the provider's efforts to manage a portfolio of digital infrastructure services over a period of ten years. Based on these analyses, we uncover the involved complexities and dynamics, how control efforts and drift were constituted and how the infrastructure services were managed by continuously balancing control and drift. In conclusion, we relate the findings to extant literature to discuss new insights into provider management of digital infrastructure services. Journal: Int. J. of Business Information Systems Pages: 51-78 Issue: 1 Volume: 30 Year: 2019 Keywords: digital infrastructures; services; management; control and drift. File-URL: http://www.inderscience.com/link.php?id=97045 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:1:p:51-78 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmad Shukri Yazid Author-X-Name-First: Ahmad Shukri Author-X-Name-Last: Yazid Author-Name: Farouk Umar Kofarnaisa Author-X-Name-First: Farouk Umar Author-X-Name-Last: Kofarnaisa Title: Sophisticated strategic information systems and strategic performance of Islamic banks: a review of literature Abstract: Strategic information system sophistication has been regarded as a critical organisational management issue. It has been considered by many researchers as a crucial organisational resource for achieving multiple strategic performances. However, studies of such have been given less attention within the context of the Islamic banking industry. Therefore, this paper highlights the issue through a systematic review of previous literature on the subject matter. Thus, the study found a significant relationship between sophisticated strategic information systems and strategic performances and hence recommends its relevance in achieving strategic performances within the context of the Malaysian Islamic banking industry. Journal: Int. J. of Business Information Systems Pages: 79-91 Issue: 1 Volume: 30 Year: 2019 Keywords: sophisticated strategic information systems; strategic performance; Islamic banks. File-URL: http://www.inderscience.com/link.php?id=97048 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:1:p:79-91 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmed Abid Author-X-Name-First: Ahmed Author-X-Name-Last: Abid Author-Name: Mohsen Rouached Author-X-Name-First: Mohsen Author-X-Name-Last: Rouached Author-Name: Nizar Messai Author-X-Name-First: Nizar Author-X-Name-Last: Messai Author-Name: Mohamed Abid Author-X-Name-First: Mohamed Author-X-Name-Last: Abid Author-Name: Thomas Devogele Author-X-Name-First: Thomas Author-X-Name-Last: Devogele Title: A semantic matching engine for web service composition Abstract: One of the main assets of service-orientation is composition, which consists of developing higher-level services by re-using well-known functionality provided by other services in a low-cost and rapid development process. However, considerable differences on structural, semantic and technical levels along with the growing number of available web services makes their discovery a significant challenging task. Therefore, services compatibility is an essential pre-requisite to service composition. Measuring the similarity of services is an important and valuable task to get useful information about their compatibility. Similarity measure can be considered as an optimisation step before composing services since it enables to reduce the search time by functionally classifying similar services. This paper presents a practical approach to measure the similarity of web services. Both semantic and syntactic descriptions are integrated through specific techniques for computing similarity measures between services. Formal concept analysis (FCA) is then used to classify web services into concept lattices, and therefore generate a hierarchy of classes of similar web services. Service clustering is used to narrow down the search space and to enable rapid semantic matching of a service request against a large size pool of services. Following this step, a composition engine takes as inputs the set of similar services and the specification of the required service, and generates the candidate composition plans that realise the goal. To determine the composition plan, the composition is reduced to a planning problem. Journal: Int. J. of Business Information Systems Pages: 92-108 Issue: 1 Volume: 30 Year: 2019 Keywords: semantic similarity; formal concept analysis; FCA; web services; composition. File-URL: http://www.inderscience.com/link.php?id=97049 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:1:p:92-108 Template-Type: ReDIF-Article 1.0 Author-Name: Farzad Firouzi Jahantigh Author-X-Name-First: Farzad Firouzi Author-X-Name-Last: Jahantigh Author-Name: Arash Habibi Author-X-Name-First: Arash Author-X-Name-Last: Habibi Author-Name: Azam Sarafrazi Author-X-Name-First: Azam Author-X-Name-Last: Sarafrazi Title: A conceptual framework for business intelligence critical success factors Abstract: From theoretical and practical viewpoints, business intelligence application is considered by scholars and managers in their organisations. Most organisations are seeking to develop their capabilities and to gain a sustainable competitive advantage through business intelligence. Previous studies are mostly descriptive and they have emphasised the importance of business intelligence. This study aims to provide a conceptual framework for the assessment of business intelligence critical success factors in the organisations. The study was a pure research, which was conducted based on scientific research method and a five-year application of business intelligence in different organisations. The scale validity was approved using confirmatory factor analysis. The statistical data was also collected from 78 large and medium-sized companies. In this study, consistent with scientific research method principles, an operational scale is presented for the implementation of business intelligence. The results indicate that a suitable software and hardware platform is one of the most significant technical infrastructures for business intelligence implementation. Journal: Int. J. of Business Information Systems Pages: 109-123 Issue: 1 Volume: 30 Year: 2019 Keywords: business intelligence; BI; software maturity; data integrity; hardware maturity; data transparency. File-URL: http://www.inderscience.com/link.php?id=97058 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:1:p:109-123 Template-Type: ReDIF-Article 1.0 Author-Name: Yanbin Tu Author-X-Name-First: Yanbin Author-X-Name-Last: Tu Author-Name: Y. Alex Tung Author-X-Name-First: Y. Alex Author-X-Name-Last: Tung Author-Name: Paulo Goes Author-X-Name-First: Paulo Author-X-Name-Last: Goes Title: Effective selling strategies for online auctions on eBay: a comprehensive approach with CART model Abstract: Most existing studies on selling strategies in online auctions do not distinguish auction heterogeneity when providing operational selling recommendations. They also tend to assume single objective for sellers. In this study, we incorporate seller and product heterogeneity into our analytical framework and implement data mining analysis in four auction segments. We use classification and regression tree (CART) to identify the critical factors along with their sequences for auction success and prices. We find different determinants for auction success and ending prices in these four auction segments. The classification and regression trees provide operational choices for sellers to build the most effective selling strategies. We propose that, by using expected auction prices with the classification and regression trees, sellers can integrate auction success and prices as multiple objectives in their selling strategies. Overall, this study contributes to the literature by providing an innovative methodology for effective selling recommendations, which can potentially lead to significant and smooth growth of the online auction market. Journal: Int. J. of Business Information Systems Pages: 125-151 Issue: 2 Volume: 30 Year: 2019 Keywords: online auctions; electronic marketplaces; data mining; selling strategies; classification; regression. File-URL: http://www.inderscience.com/link.php?id=97532 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:2:p:125-151 Template-Type: ReDIF-Article 1.0 Author-Name: Kamran Syed Author-X-Name-First: Kamran Author-X-Name-Last: Syed Author-Name: Neda Barqawi Author-X-Name-First: Neda Author-X-Name-Last: Barqawi Author-Name: Lars Mathiassen Author-X-Name-First: Lars Author-X-Name-Last: Mathiassen Title: Release cycle management: an action research study into a software company Abstract: Software is increasingly developed in a recurrent fashion. Still, we lack theoretical knowledge and conceptual models for continuously improving software release management in such dynamic contexts. In response, we conducted an action research study to improve Software Inc.'s capability to recurrently release a specific software service, Secure-on-Request. Drawing on contextualist inquiry as theoretical frame, we addressed an initial problematic situation with a recent software acquisition, complexity of service delivery, new engineering and product management teams and low process maturity to improve the organisation's approach to software releases. As a result, we offer a detailed account of the process of, the content of and the context for transforming release management at Software Inc. through the phases of diagnosing, establishing, acting and learning. Based on these insights, we theorise release cycle management (RCM) as a key practice that integrates software process improvement into recurrent delivery of software. Moreover, we offer a conceptual model for RCM that software managers can use to implement such practices into their organisations. Journal: Int. J. of Business Information Systems Pages: 152-176 Issue: 2 Volume: 30 Year: 2019 Keywords: recurrent software development; release management; software process improvement; SPI; IDEAL cycle; contextualist inquiry. File-URL: http://www.inderscience.com/link.php?id=97533 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:2:p:152-176 Template-Type: ReDIF-Article 1.0 Author-Name: Mehdi Dashti Author-X-Name-First: Mehdi Author-X-Name-Last: Dashti Author-Name: Ali Sanayei Author-X-Name-First: Ali Author-X-Name-Last: Sanayei Author-Name: Hossein Rezai Dolatabadi Author-X-Name-First: Hossein Rezai Author-X-Name-Last: Dolatabadi Author-Name: Mohammad Hossein Moshref Javadi Author-X-Name-First: Mohammad Hossein Moshref Author-X-Name-Last: Javadi Title: Application of the stimuli-organism-response framework to factors influencing social commerce intentions among social network users Abstract: Social commerce is a new trend in e-commerce powered by social media. In this type of commerce, individuals share their knowledge, information, and experiences about different products and services. This paper employs the stimuli-organism-response model to investigate the factors affecting social commerce intentions among users of social networks a total of 514 persons on three favourite social networks in Iran (i.e., Telegram, Facebook and Cloob) were investigated. Analysis of the results applying the PLS-SEM approach disclosed that firstly website or application quality, perceived interactivity, and subjective norms act as stimuli to influence, relationship quality, social support, and attitudes toward social commerce as organisms, respectively; furthermore, the latter two organisms are also impacted by social commerce construct, which is a stimulus; and perceived interactivity impacts attitudes toward social support secondly social support, relationship quality, and social attitude as organisms together with subjective norms are positively associated with social commerce intention as the response; and finally social support has a significant positive impact on relationship quality which in turn influences attitudes toward social commerce. Journal: Int. J. of Business Information Systems Pages: 177-202 Issue: 2 Volume: 30 Year: 2019 Keywords: social commerce; S-O-R model; social commerce intention; social network users; website or application quality; social commerce constructs; perceived interactivity; subjective norms; social support; relationship quality; attitude to social commerce. File-URL: http://www.inderscience.com/link.php?id=97534 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:2:p:177-202 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Author-Name: James R. Shock Author-X-Name-First: James R. Author-X-Name-Last: Shock Author-Name: Robert G. Beaves Author-X-Name-First: Robert G. Author-X-Name-Last: Beaves Title: Customer relationship management and the impact of e-coupons on B2C retail markets Abstract: As retail consumers are using mobile devices to access the internet for information and actual purchases, retails are trying to create promotional campaigns that take advantage of this trend by offering digital coupons. However, there are a number of consumer preferences that marketers need to understand when creating marketing strategies. A survey addressed five factors that could affect a customer's likelihood of utilising e-coupons. It was hypothesised that customers will consider themselves loyal customers, but will change their purchase habits for retail (e.g., clothing and accessory purchases) and electronic goods due to an e-coupon offer. Customers disliked e-coupons with threshold values regardless of their annual income. Customers will consider coupon misredemption fraud as an issue for businesses in a negative light, but will admit to searching for coupon codes online. Most of the hypotheses were found to be statistically significant, suggesting management may need to re-evaluate its strategy the B2C retail industry and change how retailers implement e-coupon campaigns as a vehicle to drive CRM initiatives. Journal: Int. J. of Business Information Systems Pages: 203-231 Issue: 2 Volume: 30 Year: 2019 Keywords: consumer fraud; customer relationship management; CRM; e-commerce; e-coupons; promotions; customer loyalty; customer satisfaction; price sensitivity; misredemption. File-URL: http://www.inderscience.com/link.php?id=97535 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:2:p:203-231 Template-Type: ReDIF-Article 1.0 Author-Name: Murat Durucu Author-X-Name-First: Murat Author-X-Name-Last: Durucu Author-Name: Mine Isik Author-X-Name-First: Mine Author-X-Name-Last: Isik Author-Name: Fethi Calisir Author-X-Name-First: Fethi Author-X-Name-Last: Calisir Title: What is more important to internet banking website users: usability or functionality? Abstract: Unlike in the past, the emerging trend is to provide online services due to the developments over the course of years. Online presence becomes the most significant factor of competitiveness. At this peak, firms try to infer the dynamics that increase customers' acceptance of these services. The present study aims to identify the complex relationships among the various factors of usability and functionality. Analytic network process (ANP) was selected by the merit of its interdependence perspective to see the comparative effects of usability and functionality factors on internet banking (IB) website selection. The information gathered through two questionnaires that conducted for Is bank and Yapi Kredi Bank IB website users. The findings reveal that customers give higher priority to usability and usability-related factors, namely navigation and interaction rather than functionality. Another point worth mentioning is that information provision and security also prepossess the customer preference. Journal: Int. J. of Business Information Systems Pages: 232-251 Issue: 2 Volume: 30 Year: 2019 Keywords: internet banking; usability; functionality. File-URL: http://www.inderscience.com/link.php?id=97536 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:2:p:232-251 Template-Type: ReDIF-Article 1.0 Author-Name: José Luís Martinho Author-X-Name-First: José Luís Author-X-Name-Last: Martinho Author-Name: Carlos F. Gomes Author-X-Name-First: Carlos F. Author-X-Name-Last: Gomes Author-Name: Mahmoud M. Yasin Author-X-Name-First: Mahmoud M. Author-X-Name-Last: Yasin Title: Information technology and the supply chain integration: a business executives' context Abstract: Despite the abundance of research dealing with the impact of supply chain management on today's organisations, such research tended to emphasise discreet relationships. A cross-sectional sample of Portuguese organisations is used to test several hypotheses pertaining to organisational resources, competencies, different levels of supply chain integration and organisational performance. Based on the findings, the impact of information technology infrastructure flexibility exhibited mixed results on the constructs studied. Executive information technology competencies tended to positively influence the different types of supply chain integration. Internal integration was found to have a direct influence on organisational performance. Such internal integration is being encouraged by external entities including customers and suppliers. In this context, more integration might lead to more effective organisational performance. Therefore, it is concluded that organisations should integrate their resources, processes and in the process encourage effective utilisation of information. Journal: Int. J. of Business Information Systems Pages: 277-299 Issue: 3 Volume: 30 Year: 2019 Keywords: information technology; organisational performance; flexibility; IT competencies of business executives; supply chain integration; SCI. File-URL: http://www.inderscience.com/link.php?id=98243 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:3:p:277-299 Template-Type: ReDIF-Article 1.0 Author-Name: B.U.K. Farouk Author-X-Name-First: B.U.K. Author-X-Name-Last: Farouk Author-Name: O.A. David Author-X-Name-First: O.A. Author-X-Name-Last: David Author-Name: I.J. David Author-X-Name-First: I.J. Author-X-Name-Last: David Title: The degree of possession and knowledge of mobile phones for trading activities by petty traders in Nigeria Abstract: The study assessed the degree of possession and knowledge of the usage of mobile phones by petty traders in performing their trading activities. Using purposive sampling technique 400 petty traders were selected and administered with questionnaires out of which 249 questionnaires were valid for use after scrutinising the 400 questionnaires. Percentage and frequency distribution with chi-square test was used for the empirical analysis. The results of the analyses showed that at 5% significance level, the possession of mobile phones and the knowledge of the use of mobile phones for performing trading activities by petty traders exist with a significant effect on their businesses, significant loyalty on the side of the petty trader to customers and suppliers and vice versa, significant impact of mobile telephony on the growth of petty traders businesses, convenience in business transaction between the petty trader, supplier and customers and reduced transaction cost. Journal: Int. J. of Business Information Systems Pages: 300-323 Issue: 3 Volume: 30 Year: 2019 Keywords: mobile phones; petty traders; possession; knowledge; trading activities; Nigeria. File-URL: http://www.inderscience.com/link.php?id=98244 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:3:p:300-323 Template-Type: ReDIF-Article 1.0 Author-Name: Hilmy Mahfuzra Author-X-Name-First: Hilmy Author-X-Name-Last: Mahfuzra Author-Name: Achmad Nizar Hidayanto Author-X-Name-First: Achmad Nizar Author-X-Name-Last: Hidayanto Author-Name: Ika Chandra Hapsari Author-X-Name-First: Ika Chandra Author-X-Name-Last: Hapsari Author-Name: Prahastiwi Utari Author-X-Name-First: Prahastiwi Author-X-Name-Last: Utari Title: What drives the intention to repurchase digital items in digital games? An integration of uses and gratifications theory and the expectation-confirmation model Abstract: This study aims to investigate the effect of gratification on the intention to repurchase digital items in digital games by extending the expectation-confirmation model in order to include the perceived value. Data obtained from 495 respondents were analysed using structural equation modelling (SEM) with the help of the SmartPLS 3.0 tool. The results of this study indicate that both enjoyment and customisation influence users' intention to repurchase digital items in digital games through satisfaction, while enjoyment, social presence, and social interaction influence users' intention to repurchase digital items in digital games through perceived value. Our results also demonstrate that both satisfaction and perceived value influence users' repurchase intention, which confirms the validity of our extension of the expectation-confirmation model. Journal: Int. J. of Business Information Systems Pages: 253-276 Issue: 3 Volume: 30 Year: 2019 Keywords: digital items; digital games; uses and gratification; online game community; repurchase intention; expectation conformation model; structural equation modelling; SEM. File-URL: http://www.inderscience.com/link.php?id=98245 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:3:p:253-276 Template-Type: ReDIF-Article 1.0 Author-Name: Michael L. Gonzales Author-X-Name-First: Michael L. Author-X-Name-Last: Gonzales Author-Name: Somnath Mukhopadhyay Author-X-Name-First: Somnath Author-X-Name-Last: Mukhopadhyay Author-Name: Kallol Bagchi Author-X-Name-First: Kallol Author-X-Name-Last: Bagchi Author-Name: Leopoldo Gemoets Author-X-Name-First: Leopoldo Author-X-Name-Last: Gemoets Title: Factors influencing business intelligence-enabled success in global companies: an empirical study Abstract: Global companies recently invested heavily in business intelligence (BI) with an expectation of achieving a long-term BI-enabled success. However, there is little statistical evidence in the past research to answer the following two questions: 1) which factors provide BI-enabled success in global companies?; 2) what is an acceptable model for achieving BI-enabled success? The study identifies three important factors that influence BI-enabled success in companies. We build a structural model to answer the above questions for global companies. The study concludes with important managerial implications. Journal: Int. J. of Business Information Systems Pages: 324-347 Issue: 3 Volume: 30 Year: 2019 Keywords: business intelligence; data warehouse; DW; information technology; IT; structural equation model; SEM. File-URL: http://www.inderscience.com/link.php?id=98246 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:3:p:324-347 Template-Type: ReDIF-Article 1.0 Author-Name: Thembekile O. Mayayise Author-X-Name-First: Thembekile O. Author-X-Name-Last: Mayayise Author-Name: Isaac O. Osunmakinde Author-X-Name-First: Isaac O. Author-X-Name-Last: Osunmakinde Title: Connective intelligence to stay safe while shopping online for e-products and e-services on business-2-business and business-2-consumer websites Abstract: Electronic commerce markets provide benefits for both buyers and sellers; however, there are risks involved. Various assurance models have attempted to mitigate online risks, but are limited when it comes to compliance. The aim of this study is to propose a connective intelligent model for safe online shopping called the page ranking analytical hierarchy process (PRAHP). PRAHP uses complementary techniques of the analytical hierarchy process (AHP) and page ranking (PR) to evaluate the trustworthiness of web attributes. PRAHP assesses five important attributes from ten selected websites. PRAHP's paradigms were evaluated on business-to-business (B2B) and business-to-consumer (B2C) sites and validated by customer comments. The inbound links were adjusted to test their effect on PRAHP's reliability. 50%, 40% and 10% of the sites were found to be partially trustworthy, untrustworthy and fully trustworthy, respectively. Based on the results, the model is very reliable in providing customers guidance on purchasing decisions. Journal: Int. J. of Business Information Systems Pages: 348-372 Issue: 3 Volume: 30 Year: 2019 Keywords: e-commerce assurance; compliance; business-2-business; B2B; business-2-consumer; B2C; analytical hierarchy process; AHP; page ranking; security; trustworthiness. File-URL: http://www.inderscience.com/link.php?id=98247 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:3:p:348-372 Template-Type: ReDIF-Article 1.0 Author-Name: P.S. JosephNg Author-X-Name-First: P.S. Author-X-Name-Last: JosephNg Title: EaaS infrastructure disruptor for MSE Abstract: Equipping Malaysia's $3 billion markets worth medium size enterprise with an optimise information technology infrastructure is a major challenge during the volatile business environment. This paper advances beyond traditional cloud-based infrastructure which relies heavily on internet service provider while our solution focuses on LAN based virtual grid to provide reliable services. Our pessimistic discussion into legacy Harvard University theories on the commodity of infrastructure and technology disruptor reveals the need for an updated strategic viewpoints on the possible consolidation available yet hidden infrastructure features while sustaining the economic uncertainty. The research is supported using a test-retest data of 100 samples and 122 sample from the Peninsular Malaysia. The compiled information using Spearman correlation gave alarming contribution from the unproductive 29% investment into building a much needed dynamic infrastructure to storm thru the economic turbulence, yet boost competitive difference when market bull run. Our client-server grid solution reshapes workload into the existing and available desktop to form a virtual centralised server that can grow or shrink with the business size. The revised exostructure as a service framework concludes the importance to revisit back local infrastructure disruptor. Journal: Int. J. of Business Information Systems Pages: 373-385 Issue: 3 Volume: 30 Year: 2019 Keywords: cloud computing; economic turbulence; EaaS; exostructure; framework; grid computing; IaaS; ICT infrastructure; Malaysia; optimisation; reusability; resource pooling; small and medium sized enterprise; SME; virtualisation. File-URL: http://www.inderscience.com/link.php?id=98248 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:3:p:373-385 Template-Type: ReDIF-Article 1.0 Author-Name: Jaflah Hassan Al-Ammary Author-X-Name-First: Jaflah Hassan Author-X-Name-Last: Al-Ammary Author-Name: Sara Al-Doseri Author-X-Name-First: Sara Author-X-Name-Last: Al-Doseri Author-Name: Zahra Al-Blushi Author-X-Name-First: Zahra Author-X-Name-Last: Al-Blushi Author-Name: Noor Al-Blushi Author-X-Name-First: Noor Author-X-Name-Last: Al-Blushi Author-Name: Manar Aman Author-X-Name-First: Manar Author-X-Name-Last: Aman Title: Strategic information systems planning in Kingdom of Bahrain: factors and impact of adoption Abstract: SISP in most of the Arabian countries is merely tackled to plan for resources allocation and project-based planning without considering the strategic role of IT in achieving the business goals. Therefore, the current research tackled to investigate the current situation regarding the adoption of SISP in the Kingdom of Bahrain. Moreover, the influence of the internal and external factors on the adoption of SISP as well as the impact of such strategic planning on the organisation competitive advantage was explored. Four hundred surveys were distributed to different levels of management from selected sectors in Kingdom of Bahrain. The results identified many indications on the importance of SISP and its positive perception on the impact of SISP in supporting the business strategy and improving the organisation overall performance. Such results will encourage more efforts in developing SISP in order to enhance the strategic role of IT and gains more sustainable competitive advantage. Journal: Int. J. of Business Information Systems Pages: 387-410 Issue: 4 Volume: 30 Year: 2019 Keywords: strategic information systems planning SISP; top management involvement; external environment; IT and business alignment; competitive advantage; social pressure; Kingdom of Bahrain. File-URL: http://www.inderscience.com/link.php?id=99303 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:4:p:387-410 Template-Type: ReDIF-Article 1.0 Author-Name: Wajeeha Aslam Author-X-Name-First: Wajeeha Author-X-Name-Last: Aslam Author-Name: Kashif Farhat Author-X-Name-First: Kashif Author-X-Name-Last: Farhat Author-Name: Imtiaz Arif Author-X-Name-First: Imtiaz Author-X-Name-Last: Arif Title: Role of electronic word of mouth on purchase intention Abstract: The purpose of this study is to explore the impact of electronic word of mouth (Ewom) on brand image (BIM) and customer satisfaction (CS) and their impact on purchase intention (PI). Impact of online websites (OWs) on Ewom and impact of receiver's perspective (RP) on CS and BIM was also checked. A Likert scale questionnaire was used to gather the responses of 253 and then was tested empirically. The study finds out the positive impact of Ewom and RP on CS and BIM. Also, CS and BIM have a significant impact on PI. Result also confirms that OW has a positive impact on Ewom. This research explains theory of stimulus- organism- response paradigm to identify the impact of Ewom which effect BIM and CS in online and technological generation. The paper provides valuable information to marketers that how quality website generates positive word of mouth which leads to purchase intention. Journal: Int. J. of Business Information Systems Pages: 411-426 Issue: 4 Volume: 30 Year: 2019 Keywords: electronic word of mouth; Ewom; brand image; customer satisfaction; social media; online websites; receiver's perspective; purchase intention; technology. File-URL: http://www.inderscience.com/link.php?id=99304 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:4:p:411-426 Template-Type: ReDIF-Article 1.0 Author-Name: Abderrazak Sebaa Author-X-Name-First: Abderrazak Author-X-Name-Last: Sebaa Author-Name: Amina Nouicer Author-X-Name-First: Amina Author-X-Name-Last: Nouicer Author-Name: Abdelkamel Tari Author-X-Name-First: Abdelkamel Author-X-Name-Last: Tari Title: Impact of technology evolution on the materialised views: current issues and future trends Abstract: To improve query performance materialised views were largely used for such purpose. So far, this technique has been a success as testified by the large and increasing interest among industrial and research communities in the use of this technique. In this paper, we investigate the related issues of materialised views and the most important solutions and framework of the literature review. Then, we explore the information technology impact on the evolution of materialised view applications, related environments and data models. Finally, we summarise the opportunities and future challenges caused by combination and trends of such evolution. Journal: Int. J. of Business Information Systems Pages: 427-462 Issue: 4 Volume: 30 Year: 2019 Keywords: materialised view; view selection; view maintenance; data models; application; web; data warehouse; database; query; information technology. File-URL: http://www.inderscience.com/link.php?id=99305 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:4:p:427-462 Template-Type: ReDIF-Article 1.0 Author-Name: Nouha Arfaoui Author-X-Name-First: Nouha Author-X-Name-Last: Arfaoui Author-Name: Faîçal Felhi Author-X-Name-First: Faîçal Author-X-Name-Last: Felhi Author-Name: Jalel Akaichi Author-X-Name-First: Jalel Author-X-Name-Last: Akaichi Title: Building federated data warehouse schema using web service approach Abstract: The data warehouse is considered as a repository that stores data from disparate sources. It is used mainly in the process of decision making. Because of the diversity of the applications, their heterogeneity and their physical spacing, building a data warehouse, to make decisions in a federated architecture, is a very complicated task. To overcome this problem, we propose a new approach for the design of a federated data warehouse schema based on the web services. The latter are applied because of their capacity to solve many technical problems related to the integration of data source in a federated environment. The proposed solution is based on the bottom-up approach where the data warehouse schema is generated from the set schemas of the data mart. It is composed by two steps. In the first one, a web service is used to generate the schemas of the data mart one for each data source. In the second step, a second web service is used to merge the generated schemas to build the final schema of the data warehouse. Journal: Int. J. of Business Information Systems Pages: 463-488 Issue: 4 Volume: 30 Year: 2019 Keywords: federated architecture; federated data warehouse schema; data mart schema; web service; schema integration; schema merging. File-URL: http://www.inderscience.com/link.php?id=99307 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:4:p:463-488 Template-Type: ReDIF-Article 1.0 Author-Name: Risto Silvola Author-X-Name-First: Risto Author-X-Name-Last: Silvola Author-Name: Arto Tolonen Author-X-Name-First: Arto Author-X-Name-Last: Tolonen Author-Name: Janne Harkonen Author-X-Name-First: Janne Author-X-Name-Last: Harkonen Author-Name: Harri Haapasalo Author-X-Name-First: Harri Author-X-Name-Last: Haapasalo Author-Name: Tarja Mannisto Author-X-Name-First: Tarja Author-X-Name-Last: Mannisto Title: Defining one product data for a product Abstract: The growing importance of product data management and master data necessitate companies to have practices for deriving product master data from their corporate strategy. Business drivers need to be understood from the perspective of corporate strategy to capture product master data in relevant systems in a straightforward manner. Ideally master data is created only once and used through the life-cycle of the product. This study clarifies the foundations for determining one product data from corporate strategy. Data definitions are analysed to understand its linkages to business drivers, whereas main business processes are used to support categorisation. The practices of three companies are analysed to understand how business drivers for new products impact product data requirements. The results highlight the importance of business drivers in defining one product data based on the product master data, business-process related product data and IT systems over the product life-cycle. Journal: Int. J. of Business Information Systems Pages: 489-520 Issue: 4 Volume: 30 Year: 2019 Keywords: one product data; product data; product master data; master data management; strategy; IT systems; business information systems; product life-cycle; business processes. File-URL: http://www.inderscience.com/link.php?id=99308 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:30:y:2019:i:4:p:489-520 Template-Type: ReDIF-Article 1.0 Author-Name: E. Sivasankar Author-X-Name-First: E. Author-X-Name-Last: Sivasankar Author-Name: J. Vijaya Author-X-Name-First: J. Author-X-Name-Last: Vijaya Title: A study of feature selection techniques for predicting customer retention in telecommunication sector Abstract: Feature selection is the process of eliminating irrelevant features from the dataset, while maintaining acceptable classification accuracy. The selected features play an important role which can directly influence the effectiveness of the resulting classification. In this paper, a methodology is proposed consisting of two phases, attributes selection and classification based on the attributes selected. Phase one uses a filter and wrapper method for attribute selection with random over-sampling (Ros) through which the size of attributes set and misclassification error can be reduced. In the second phase, the selected attributes are taken as inputs by classification techniques like decision trees (DT), K-nearest neighbour (KNN), support vector machine (SVM), naive Bayes (NB) and artificial neural network (ANN). Finally, true churn, false churn, specificity and accuracy are measured to evaluate the efficiency of the proposed system and it is found that the above mentioned methodology performs well ahead for churn prediction and suits well for the telecommunication sector. Journal: Int. J. of Business Information Systems Pages: 1-26 Issue: 1 Volume: 31 Year: 2019 Keywords: churn prediction; random over sampling; feature selection; filter method; wrapper method; decision trees; k-nearest neighbour; KNN; support vector machine; SVM; naive Bayes; artificial neural network; ANN. File-URL: http://www.inderscience.com/link.php?id=99524 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:1:p:1-26 Template-Type: ReDIF-Article 1.0 Author-Name: V. Raj Kumar Author-X-Name-First: V. Raj Author-X-Name-Last: Kumar Author-Name: L. Suganthi Author-X-Name-First: L. Author-X-Name-Last: Suganthi Title: Relative efficiency of social CRM software: a hybrid fuzzy AHP/DEA approach Abstract: In today's tech-savvy society, social media platforms revolutionise the way in which people communicate and share information with each other. These platforms enable customers to instantly and openly convey their opinions, criticisms and praises on various topics pertaining to products and brands. Hence it becomes imperative for organisations to integrate social media information into their CRM strategy. In this paper, relative efficiency of the social CRM packages using fuzzy AHP/DEA: AR-CCR was determined by considering price as the input criterion and functionality, product quality and customer support as output criteria. Using fuzzy AHP it was found that product quality (41.66%) is the most important criteria followed by functionality (33.29%) and customer support (25.05%). Pipedrive and Really Simple Systems were found to be relatively more efficient. In this manner a social CRM package that best fits an organisation's customer-centric work culture is selected. The social CRM vendors can utilise these results to benchmark their packages against their competitors. Journal: Int. J. of Business Information Systems Pages: 27-44 Issue: 1 Volume: 31 Year: 2019 Keywords: customer relationship management; social media; fuzzy analytical hierarchical process; data envelopment analysis; relative efficiency. File-URL: http://www.inderscience.com/link.php?id=99525 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:1:p:27-44 Template-Type: ReDIF-Article 1.0 Author-Name: B. Subbulakshmi Author-X-Name-First: B. Author-X-Name-Last: Subbulakshmi Author-Name: C. Deisy Author-X-Name-First: C. Author-X-Name-Last: Deisy Title: An adaptive algorithm for frequent pattern mining over data streams using diffset strategy Abstract: Frequent pattern mining using sliding window over data streams is commonly used due to its wide applicability. Determining suitable window size and detection of concept change are the major issues and can be addressed by having flexible window based on amount of changes in frequent patterns. For mining frequent patterns over data streams, vertical mining algorithms can be used. However, in these algorithms, size of transaction identifiers (tidsets) and the time for computation of intersection between tidsets is large. Moreover, presence of null transactions does not contribute any useful frequent patterns. A new algorithm called recent frequent pattern mining based on diffset with elimination of null transactions (RFP-DIFF-ENT) over data streams using variable size window is proposed. It stores difference of tidsets and eliminates null transactions which minimise memory and mining time. Experimental results show that proposed algorithm saves computation time, memory usage and minimises the number of frequent patterns. Journal: Int. J. of Business Information Systems Pages: 45-68 Issue: 1 Volume: 31 Year: 2019 Keywords: frequent itemsets; diffset; data streams; sliding window model; concept change. File-URL: http://www.inderscience.com/link.php?id=99526 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:1:p:45-68 Template-Type: ReDIF-Article 1.0 Author-Name: Subhieh M. El-Salhi Author-X-Name-First: Subhieh M. Author-X-Name-Last: El-Salhi Author-Name: Safa'a N. Al-Haj Saleh Author-X-Name-First: Safa'a N. Al-Haj Author-X-Name-Last: Saleh Author-Name: Ibrahim I. Al-Amro Author-X-Name-First: Ibrahim I. Author-X-Name-Last: Al-Amro Title: Towards developing an automated attendance management system using barcode reader: Hashemite University as a case study Abstract: In higher educational institutions such as colleges and universities, student attendance has a significant impact on the academic outcomes and thus on the overall educational process. Therefore, the need for an automatic attendance registration system is one of the most critical requirements in educational process nowadays; especially with the tremendous growth in technology sectors. This paper presents an automated attendance management system (AAMS) where the attendance of the students is recorded automatically to overcome the manual attendance tracking system flaws. The proposed system consists of two main components, a student identification number and a hand-held scanner. The AAMS system is mainly designed for the Hashemite University, one of the leading universities in Jordan, to replace the old and inefficient current manual attendance system with a portable, simple, easy and low-cost solution of attendance registration system. Details of a real implementation of AAMS system within the university are illustrated and presented. Journal: Int. J. of Business Information Systems Pages: 69-85 Issue: 1 Volume: 31 Year: 2019 Keywords: automated attendance management system; AAMS; barcode reader; student identification card; business information system. File-URL: http://www.inderscience.com/link.php?id=99527 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:1:p:69-85 Template-Type: ReDIF-Article 1.0 Author-Name: Fakhraddin Maroofi Author-X-Name-First: Fakhraddin Author-X-Name-Last: Maroofi Title: Investigating Q-learning approach by using reinforcement learning to decide dynamic pricing for multiple products Abstract: This article emphasises the benefits of using mutually dynamic pricing, as opposed individual pricing of product or services. By using mutually beneficial rating, the algorithm is able to use the information of various product or services to enhance the profit received from rating all the items in a consistent manner. This enables for quicker learning once the demand for the various product or services is powerfully connected. However, the range of mutually beneficial product will increase the speed of convergence decreases exponentially. Because the range of mutually beneficial product becomes large, the decision maker could take into account grouping product if they follow an equal demand pattern, or put together rating extremely related mutually beneficial product. Moreover, we analyse to behave the Q-learning with eligibility trace algorithm under different conditions without any explicit knowledge of client buying behaviour. Journal: Int. J. of Business Information Systems Pages: 86-105 Issue: 1 Volume: 31 Year: 2019 Keywords: Q-learning approach; reinforcement learning; service management; simulation; Iran. File-URL: http://www.inderscience.com/link.php?id=99528 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:1:p:86-105 Template-Type: ReDIF-Article 1.0 Author-Name: Saleh Alqatan Author-X-Name-First: Saleh Author-X-Name-Last: Alqatan Author-Name: Noor Maizura Mohamad Noor Author-X-Name-First: Noor Maizura Mohamad Author-X-Name-Last: Noor Author-Name: Mustafa Man Author-X-Name-First: Mustafa Author-X-Name-Last: Man Author-Name: Rosmayati Mohemad Author-X-Name-First: Rosmayati Author-X-Name-Last: Mohemad Title: An empirical study on factors affecting the acceptance of M-commerce application among small and medium-sized tourism enterprises by integrating TTF with TAM Abstract: Tourism is an attractive sector for economic development as it offers potential economic benefits for developing countries. Most tourism sectors throughout the globe consist of Small and medium-sized enterprises (SMEs) and as such, tourism SMEs (SMTEs) utilisation of Mobile commerce (M-commerce) is crucial in terms of added efficiency, effectiveness and innovation. However, the acceptance of M-commerce in SMTEs, is still in the early stage. The paper aimed to test the factors influencing the acceptance of M-commerce application among SMTEs. The questionnaire was distributed to the target sample and the obtained data was analysed through the SPSS statistical software. Results of the analysis revealed that all factors positively influenced behavioural intention to use M-commerce application in such enterprises. The study provides advanced knowledge of user's acceptance of M-commerce in SMTEs, which will help the M-commerce providers in such enterprises to understand the factors that influence the acceptance of M-commerce in SMTEs. Journal: Int. J. of Business Information Systems Pages: 106-135 Issue: 1 Volume: 31 Year: 2019 Keywords: mobile commerce; M-commerce; small and medium-sized tourism enterprises; technology acceptance model; task-technology fit model; perceived trust. File-URL: http://www.inderscience.com/link.php?id=99529 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:1:p:106-135 Template-Type: ReDIF-Article 1.0 Author-Name: Md Shamimul Islam Author-X-Name-First: Md Shamimul Author-X-Name-Last: Islam Author-Name: Noorliza Karia Author-X-Name-First: Noorliza Author-X-Name-Last: Karia Author-Name: Muhammad Khaleel Author-X-Name-First: Muhammad Author-X-Name-Last: Khaleel Author-Name: Firdaus Bin Ahmad Fauzi Author-X-Name-First: Firdaus Bin Ahmad Author-X-Name-Last: Fauzi Author-Name: Mohamed Soliman Mohamed Soliman Author-X-Name-First: Mohamed Soliman Mohamed Author-X-Name-Last: Soliman Author-Name: Jamshed Khalid Author-X-Name-First: Jamshed Author-X-Name-Last: Khalid Author-Name: Md. Yeasir Arafat Bhuiyan Author-X-Name-First: Md. Yeasir Arafat Author-X-Name-Last: Bhuiyan Author-Name: Md. Abdullah Al Mamun Author-X-Name-First: Md. Abdullah Al Author-X-Name-Last: Mamun Title: Intention to adopt mobile banking in Bangladesh: an empirical study of emerging economy Abstract: Mobile banking is an advanced form of traditional banking. In Bangladesh, despite the initiatives by the banking companies to continuously upgrade their facilities to support mobile banking, customers' adoption rates are still low. Thus, the aim of this study is to investigate the factors influencing the behaviour of customers to adopt mobile banking. By adaptation of the unified theory of acceptance and use of technology (UTAUT), the study used partial least square (PLS) and structural equation modeling (SEM) to achieve the result. It was found that all the factors listed are significantly influencing the behaviour of the customers, except the factor of performance expectancy. The study concluded that the mobile users outside Dhaka, the capital city of the country, are not much aware of mobile banking as compared to mobile users in the capital city. By extending the previous study, this study contributed to the existing literature and to the body of knowledge in general. The theoretical and managerial implications, as well as the directions for future research were also stated. Journal: Int. J. of Business Information Systems Pages: 136-151 Issue: 1 Volume: 31 Year: 2019 Keywords: mobile banking; technology adoption; unified theory of acceptance and use of technology; UTAUT; emerging economy; Bangladesh. File-URL: http://www.inderscience.com/link.php?id=99530 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:1:p:136-151 Template-Type: ReDIF-Article 1.0 Author-Name: C. SriVenkateswaran Author-X-Name-First: C. Author-X-Name-Last: SriVenkateswaran Author-Name: D. Sivakumar Author-X-Name-First: D. Author-X-Name-Last: Sivakumar Title: Secure cluster-based data aggregation in wireless sensor networks with aid of ECC Abstract: In WSN, to overcome the energy consumption issue, some of the researchers used cluster head-based approach to send the data to the sink node. In this paper, we have presented the approach for cluster head selection for data aggregation in wireless sensor network. For clustering the node, hybrid k means and fuzzy c-means clustering algorithm is used. Then we select the cluster head from each cluster. Every node in the wireless sensor network sends their sensed data to the cluster head. The data aggregation is done in the cluster head. Finally base station is received the data from one cluster head, in order to reduce the transmission time here the proposed method is remove the duplicate data and then secure transmission is done by elliptic curve cryptography (ECC). The performance of the proposed technique is evaluated by overall running time and also the encryption and decryption time. Journal: Int. J. of Business Information Systems Pages: 153-169 Issue: 2 Volume: 31 Year: 2019 Keywords: data aggregation; wireless sensor network; WSN; k means clustering; fuzzy c-means clustering; elliptic curve cryptography; ECC. File-URL: http://www.inderscience.com/link.php?id=100277 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:2:p:153-169 Template-Type: ReDIF-Article 1.0 Author-Name: Jozef Stašák Author-X-Name-First: Jozef Author-X-Name-Last: Stašák Author-Name: Peter Schmidt Author-X-Name-First: Peter Author-X-Name-Last: Schmidt Title: Semantic technology and linguistic modelling in business strategy design and evaluation Abstract: This paper addresses the problem of a knowledge based support, when designing business strategy and adequate key performance indicators (KPI). The business strategy designing is considered to be a business process and is a subject of modelling as well, while a linguistic modelling approach is applied for those purposes, where the business process model semantics plays a role of principal importance and that model is derived from text in natural language (TNL text), which describes structure and functionality of the business processes to be modelled quantified via linguistic sets, which create basis of business process model semantics and might be applied in design and implementation of <i>business process linguistic modelling - expert system</i> built up base on semantic technology principles (ST-LM expert system). The ST-LM expert system knowledge base operates based on semantic networks and (SNW) and reference databases and contains knowledge concerned to KPI Indicator generation and decomposition to lower levels of management. In that paper, the ST-LM expert system structure and functionality is described together with an appropriate knowledge base and inference mechanism. Journal: Int. J. of Business Information Systems Pages: 170-194 Issue: 2 Volume: 31 Year: 2019 Keywords: business process; linguistic modelling; expert system; knowledge base; inference mechanism; semantic networks; reference databases. File-URL: http://www.inderscience.com/link.php?id=100278 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:2:p:170-194 Template-Type: ReDIF-Article 1.0 Author-Name: Rahmat Houshdar Mahjoub Author-X-Name-First: Rahmat Houshdar Author-X-Name-Last: Mahjoub Author-Name: Amir Afsar Author-X-Name-First: Amir Author-X-Name-Last: Afsar Title: A hybrid model for customer credit scoring in stock brokerages using data mining approach Abstract: Credit scoring has become a challenging issue for stock brokerages, as the credit industry has been facing high competition during the past decade. Many methods have been suggested to credit scoring in the literature. The purpose of this study is to set up a hybrid model for customer credit scoring in Iran's National Investment Brokerage. It also provides a way to pay appropriate facilities as tools for CRM. So, after the data pre-processing step, we convert refined dataset into RFM model. Customers were clustered using two clustering algorithms, self-organising map (SOM) and K-means. In both methods, the best optimum number of clusters was calculated at ten. Afterwards, the clusters ranked using TOPSIS and the top three clusters were considered as the target customers. Eventually, the credit score of the superior cluster members were calculated. Coefficient facilities granted to the top three clusters respectively are 0.271, 0.173 and 0.556. Journal: Int. J. of Business Information Systems Pages: 195-214 Issue: 2 Volume: 31 Year: 2019 Keywords: credit scoring; customer relationship management; CRM; self-organising map; SOM; K-means; data mining; TOPSIS; stock brokerages. File-URL: http://www.inderscience.com/link.php?id=100279 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:2:p:195-214 Template-Type: ReDIF-Article 1.0 Author-Name: V.K. Saxena Author-X-Name-First: V.K. Author-X-Name-Last: Saxena Author-Name: Shashank Pushkar Author-X-Name-First: Shashank Author-X-Name-Last: Pushkar Title: Managing privacy of sensitive attributes using fuzzy-based data transformation methods in privacy preserving data mining environment Abstract: When we extract personal, sensitive and business information in data mining applications, then certain problems occurs. Privacy attack occurs due to the misuse of individual information. In centralised database environment, data transformation methods in fuzzy-based data in the field of privacy preserving clustering are proposed in this paper. In first case, a fuzzy data transformation method is proposed and different experiments are conducted by changing the fuzzy membership functions such as Z-shaped fuzzy membership function, Triangular fuzzy membership function, Gaussian fuzzy membership function to transform the original dataset. In second case, a hybrid method is proposed as a combination of fuzzy data transformation approach which is specified in first case and random rotation perturbation (RRP). The experimental outcome verified that the hybrid approach permits finest results for every member functions. Journal: Int. J. of Business Information Systems Pages: 249-264 Issue: 2 Volume: 31 Year: 2019 Keywords: fuzzy membership function; privacy preservation; data transformation; clustering; random rotation perturbation; RRP; data mining; data perturbation; hybrid method; sensitive attributes. File-URL: http://www.inderscience.com/link.php?id=100280 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:2:p:249-264 Template-Type: ReDIF-Article 1.0 Author-Name: S. Saravanan Author-X-Name-First: S. Author-X-Name-Last: Saravanan Author-Name: V. Venkatachalam Author-X-Name-First: V. Author-X-Name-Last: Venkatachalam Title: Privacy preserving of intermediate dataset using hybridisation of oppositional gravitational search algorithm and elliptic curve cryptography Abstract: Distributed computing gives the gigantic capacity ability to the clients to send their applications without any infrastructure investment. Based on the application lot of intermediate dataset will be created. To protecting these intermediate dataset is a challenging task. Moreover, encrypting all dataset is a time and cost consuming. To overcome the problem, in this paper we proposed a privacy preserving of intermediate dataset using a combination of oppositional gravitational search algorithm and elliptic curve cryptography (OGSA + ECC). Initially, we split the dataset into a number of the intermediate datasets, then, we choose the node corresponding intermediate dataset from the cloud using an oppositional gravitational search algorithm (OGSA). After that, we choose the sensitive data from the dataset using the information gain measure to minimise the processing time and cost. Then, using the ECC algorithm the sensitive data is encrypted and in the cloud the secure data are stored. The experimentation is carried out in terms of encryption time and memory use. Journal: Int. J. of Business Information Systems Pages: 265-281 Issue: 2 Volume: 31 Year: 2019 Keywords: cloud computing; OGSA; elliptic curve cryptography; ECC; cloud specialist organisation; CSP; POS; trapdoor; encryption; decryption. File-URL: http://www.inderscience.com/link.php?id=100281 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:2:p:265-281 Template-Type: ReDIF-Article 1.0 Author-Name: Adel Ismail Al-Alawi Author-X-Name-First: Adel Ismail Author-X-Name-Last: Al-Alawi Author-Name: Sara Abdulrahman Al-Bassam Author-X-Name-First: Sara Abdulrahman Author-X-Name-Last: Al-Bassam Title: Evaluation of telecommunications regulatory practice in the Kingdom of Bahrain: development and challenges Abstract: This study has investigated the evaluation of Telecommunications Regulatory Authority (TRA) practice in the Kingdom of Bahrain. Having realised the importance of telecommunication, Bahrain has become one of the leading information and communication technologies (ICT) economies in the Gulf Cooperation Council (GCC) region and is ranked among the top 30 in the world. Such a ranking has encouraged the researchers to take Bahrain's TRA as the focus of this study. The aim of this paper is to evaluate and identify the factors that have influenced the TRA framework in the Kingdom and to investigate the development and challenges of TRA in Bahrain and how to lead to the best performance in the market place. The study also investigated the role of certain factors in telecommunication regulation. Interviews and surveys with the TRA and major operators in Bahrain were conducted. The findings show that licensing, interconnection, price regulation, competition policy and universality access are key factors influencing the telecommunication regulatory framework in Bahrain. Journal: Int. J. of Business Information Systems Pages: 282-303 Issue: 2 Volume: 31 Year: 2019 Keywords: telecommunications; regulatory; authority; Telecommunications Regulatory Authority; TRA; licensing; interconnection; price; competitive; markets; access; Batelco; Zain; VIVA; Bahrain; challenges. File-URL: http://www.inderscience.com/link.php?id=100282 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:2:p:282-303 Template-Type: ReDIF-Article 1.0 Author-Name: Saba Alsadat Hosseini Sani Author-X-Name-First: Saba Alsadat Hosseini Author-X-Name-Last: Sani Author-Name: Mostafa Vaezi Monfard Author-X-Name-First: Mostafa Vaezi Author-X-Name-Last: Monfard Author-Name: Elahe Sarfi Author-X-Name-First: Elahe Author-X-Name-Last: Sarfi Title: Knowledge management adoption to financial institutions using fuzzy AHP and fuzzy TOPSIS techniques Abstract: The aim of this study is to identify and prioritise the knowledge management (KM) adoption in financial institutions. Results show that Melal Financial and credit institute, Kosar financial and credit institute and Noor financial and credit institute are on the first, second and last priority, respectively. The results obtained from fuzzy AHP methods indicate that human resources are on the first priority and organisational management, technological factors and cultural factors are on the next priority. Then regarding to the organisational management scales, it is realised that, proper organisational structure to create and share knowledge is most important. Regarding to the technological factors index, it is realised that, technological infrastructure to adopt KM is most important. Regarding to cultural factors index it is realised that, willingness and sharing spirit among members is most important. Regarding to the human resources index, it is realised that, time to share knowledge is most important. Journal: Int. J. of Business Information Systems Pages: 215-248 Issue: 2 Volume: 31 Year: 2019 Keywords: knowledge; knowledge management; fuzzy analytic hierarchy process; AHP; fuzzy TOPSIS. File-URL: http://www.inderscience.com/link.php?id=100284 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:2:p:215-248 Template-Type: ReDIF-Article 1.0 Author-Name: Kapil Kaushik Author-X-Name-First: Kapil Author-X-Name-Last: Kaushik Author-Name: Rajhans Mishra Author-X-Name-First: Rajhans Author-X-Name-Last: Mishra Title: Predictors of E-government adoption in India: direct and indirect effects of technology anxiety and information quality Abstract: E-government adoption has been the focus of many research studies in the past. However, few studies have explored the role of technology anxiety and information quality in the E-government adoption process. The purpose of this paper is to examine the direct and indirect effects of technology anxiety and information quality on E-government adoption. The results of our study indicate that technology anxiety indirectly influences E-government adoption. At the same time, the direct effect of technology anxiety on E-government adoption weakens in the presence of effort expectancy. Perceived information quality has positive direct effect on E-government adoption. However, we did not find any significant indirect effect of information quality on E-government adoption. This study contributes to E-government adoption frameworks by analysing the effect of computer and internet related anxiety and information quality on the adoption of E-government services. Implications for theory and practice that would help the policy makers in enhancing the effectiveness of E-government services have been discussed. Journal: Int. J. of Business Information Systems Pages: 305-321 Issue: 3 Volume: 31 Year: 2019 Keywords: E-government adoption; information quality; technology anxiety; indirect effect. File-URL: http://www.inderscience.com/link.php?id=101109 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:3:p:305-321 Template-Type: ReDIF-Article 1.0 Author-Name: Vaibhav S. Narwane Author-X-Name-First: Vaibhav S. Author-X-Name-Last: Narwane Author-Name: Balkrishna E. Narkhede Author-X-Name-First: Balkrishna E. Author-X-Name-Last: Narkhede Author-Name: Rakesh D. Raut Author-X-Name-First: Rakesh D. Author-X-Name-Last: Raut Author-Name: Bhaskar B. Gardas Author-X-Name-First: Bhaskar B. Author-X-Name-Last: Gardas Author-Name: Pragati Priyadarshinee Author-X-Name-First: Pragati Author-X-Name-Last: Priyadarshinee Author-Name: Mahesh S. Kavre Author-X-Name-First: Mahesh S. Author-X-Name-Last: Kavre Title: To identify the determinants of the CloudIoT technologies adoption in the Indian MSMEs: structural equation modelling approach Abstract: In everyday life, we come across multiple emerging applications of CloudIoT like the smartphone, smart television, smart city, smart factory, smart agriculture, etc. CloudIoT is the collaboration of cloud computing and internet of things technology. Even though IoT and cloud are having contradicting characteristics, the collaboration of IoT and cloud helps in solving their issues partially and gives rise to new services. The objective of this study is to develop a model using the structural equation modelling approach to identify the determinants of the CloudIoT technologies adoption in the Indian MSMEs, which have significant contribution in the national growth. The determinants considered for the study were cloud computing, perceived IT security risk, social influence, internet of things, perceived ease of use, perceived usefulness, trust, and intention to use. The data were collected from the 500 respondents of Indian MSMEs. The results of the investigation revealed that cloud computing, social influence, internet of things, perceived ease of use, trust, and perceived IT security risk positively influence the intention to use. The developed model is intended to guide the organisational managers, decision, and policymakers in understanding the relationship between the various determinants and intention to use CloudIoT technologies. Journal: Int. J. of Business Information Systems Pages: 322-353 Issue: 3 Volume: 31 Year: 2019 Keywords: internet of things; IoT; cloud computing; CloudIoT; micro small and medium enterprises; MSMEs; structural equation modelling; SEM. File-URL: http://www.inderscience.com/link.php?id=101110 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:3:p:322-353 Template-Type: ReDIF-Article 1.0 Author-Name: Mehdi Tabaroki Author-X-Name-First: Mehdi Author-X-Name-Last: Tabaroki Author-Name: Changiz Valmohammadi Author-X-Name-First: Changiz Author-X-Name-Last: Valmohammadi Author-Name: Nader Khalesi Author-X-Name-First: Nader Author-X-Name-Last: Khalesi Title: Identification and prioritisation of the critical success factors for research project-based organisations using fuzzy analytic hierarchy process Abstract: The main purpose of this study is to identify and prioritise critical success factors (CSFs) of research project-based organisations in the context of Iran using fuzzy analytic hierarchy process (FAHP) technique. In order to do so, at the first step based on an in-depth review of the relevant literature a questionnaire and holding interviews with the experts of this domain a questionnaire was designed and distributed among professionals and its validity and reliability was investigated and confirmed, leading to the structural tree of the model. Then, the second questionnaire in the form paired-wise comparison was designed, and the weights and ranking of the main CSFs and their related sub-factors were calculated using fuzzy AHP technique and expert choice software. Results reveal that the 'project factors' with a weight of 0.445 is the most important factor among the other identified factors, namely, 'personality factors', 'organisational factors' and 'environmental factors'. Journal: Int. J. of Business Information Systems Pages: 354-371 Issue: 3 Volume: 31 Year: 2019 Keywords: project-based organisations; research organisations; critical success factors; CSFs; fuzzy analytic hierarchy process; FAHP; Iran. File-URL: http://www.inderscience.com/link.php?id=101112 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:3:p:354-371 Template-Type: ReDIF-Article 1.0 Author-Name: Tanvi Anand Author-X-Name-First: Tanvi Author-X-Name-Last: Anand Author-Name: Rekha Pal Author-X-Name-First: Rekha Author-X-Name-Last: Pal Author-Name: Sanjay Kumar Dubey Author-X-Name-First: Sanjay Kumar Author-X-Name-Last: Dubey Title: Cluster analysis for diabetic retinopathy prediction using data mining techniques Abstract: Diabetic retinopathy is a one of the increasing medical situation occurs due to fluctuating insulin level in the blood that leads to loss of vision. It is an ophthalmic disease which is mainly occurs due to the generation of the new abnormal blood vessels. Diabetic retinopathy with exudates are causing main health problem that leads to loss of sight. Patient suffering from diabetes are advised to undergo continual retinal test by reason of diabetic retinopathy. As the population is quite large as compared to healthcare system available, tests should be optimised and identification of the disease is complex and time consuming task. In this paper, clustering technique is used among the various data mining techniques, clustering is the good approach to handle the complex task. Experiment is conducted to identify the best clustering technique which can easily identify the various impacting factors of DR in less complex way. The experimental results reflect that the performance of K-means is better than other clustering techniques. This analysis will help the medical practitioner to identify best algorithm for disease detection and provide preventive measures in advance. Journal: Int. J. of Business Information Systems Pages: 372-390 Issue: 3 Volume: 31 Year: 2019 Keywords: clustering techniques; disease; data mining; classification. File-URL: http://www.inderscience.com/link.php?id=101113 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:3:p:372-390 Template-Type: ReDIF-Article 1.0 Author-Name: Daniel Farias Batista Leite Author-X-Name-First: Daniel Farias Batista Author-X-Name-Last: Leite Author-Name: Cláudio De Souza Baptista Author-X-Name-First: Cláudio De Souza Author-X-Name-Last: Baptista Author-Name: Brunna De Sousa Pereira Amorim Author-X-Name-First: Brunna De Sousa Pereira Author-X-Name-Last: Amorim Title: An exploratory SOLAP tool for linked open data Abstract: Business intelligence (BI) technologies are being successfully applied in data analytics, including in the use of spatial data. The advent of the semantic web brought semantically rich and semi-structured data formats, such as resource description framework (RDF), which are external to the BI infrastructure. The integration of both conventional and semantic web data into a BI system results in a new category of analytical tools called exploratory OLAP. We extend exploratory OLAP with spatial capabilities, providing an exploratory SOLAP, called ExpSOLAP. ExpSOLAP is the first analytical tool that integrates semantic, spatial, semi-structured data with traditional spatial, structured data sources. Additionally, SOLAP queries can be posed in both data sources. Journal: Int. J. of Business Information Systems Pages: 391-413 Issue: 3 Volume: 31 Year: 2019 Keywords: business intelligence; exploratory SOLAP; ExpSOLAP; semantic web; ontology; linked data; SPARQL; spatial OLAP; SOLAP; open data; RDF; datawarehouse; business information systems; linked open data. File-URL: http://www.inderscience.com/link.php?id=101115 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:3:p:391-413 Template-Type: ReDIF-Article 1.0 Author-Name: Prabir Panda Author-X-Name-First: Prabir Author-X-Name-Last: Panda Author-Name: G.P. Sahu Author-X-Name-First: G.P. Author-X-Name-Last: Sahu Author-Name: Babita Gupta Author-X-Name-First: Babita Author-X-Name-Last: Gupta Title: E-government procurement implementation in India: evolving decision parameters for project success Abstract: Research indicates that India can save up to 25% in its public procurements (valued 3.4% to 5.7% of GDP) by migrating to e-government procurement (E-GP). This paper empirically studies stage-wise importance of 11 critical success factors (CSF) that were identified through extensive literature review. We developed a research model for ascertaining the impact of identified CSFs on various stages of E-GP which was fine-tuning after exploratory study. A survey of the stakeholders involved with E-GP system in India was conducted. We used regression analysis and mean score to empirically test the relationships identified between the CSFs and E-GP project success. The results show that five of the 11 CSFs are not important at stage 2 of E-GP project evolution, while all 11 CSFs contribute to the E-GP project success in stages 3 and 4. This study brings out India specific CSF based parameters for managerial decision making for E-GP project managers. Journal: Int. J. of Business Information Systems Pages: 414-454 Issue: 3 Volume: 31 Year: 2019 Keywords: electronic government procurement; e-procurement implementation in India; critical success factors; CSF; public procurement; decision parameters. File-URL: http://www.inderscience.com/link.php?id=101119 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:3:p:414-454 Template-Type: ReDIF-Article 1.0 Author-Name: Bilal Ahmad Ali Al-khateeb Author-X-Name-First: Bilal Ahmad Ali Author-X-Name-Last: Al-khateeb Title: Personal characteristics and situational characteristics as the mediating factors in the relationship between information source and information choice strategies of the Arab tourists in Malaysia Abstract: In an attempt to further explain how information source influences the information choice strategies, this study investigates the mediating effects of both personal characteristics and situational characteristics on the relationship between information source and information choice strategies of Arab tourists. Questionnaire data was generated from 358 respondents of Arab tourists in Malaysia through a self-administered questionnaire procedure, and the data was analysed using the SmartPLS analysis technique. Overall, the study found significant mediating effects of both personal characteristics and situational characteristics on the relationship between personal characteristics and information choice strategies. The findings further show a partial mediating effect for the personal characteristics while a full mediating effect was found on the situational characteristics variable. Based on this, the study concludes that personal characteristics and situational characteristics can jointly mediate the relationship between personal characteristics and information choice strategies. The study provides some insights on the importance of personal characteristics and situational characteristics and the need to consider the two factors when planning for tourism adventures by Arab tourists. Journal: Int. J. of Business Information Systems Pages: 479-498 Issue: 4 Volume: 31 Year: 2019 Keywords: personal characteristics; situational characteristics; information source; information choice strategies; Arab tourism to Malaysia; SmartPLS. File-URL: http://www.inderscience.com/link.php?id=101581 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:4:p:479-498 Template-Type: ReDIF-Article 1.0 Author-Name: Samira Khodabandehlou Author-X-Name-First: Samira Author-X-Name-Last: Khodabandehlou Title: Designing an e-commerce recommender system based on collaborative filtering using a data mining approach Abstract: E-commerce recommender systems have been converted to a very important decision-making helper for customers, and provide online personalised recommendations using information technology and customers' information. In the meantime, collaborative filtering (CF) recommender systems are one of the key components of successful e-commerce systems. Despite the popularity and successes of CF, these systems still face a series of serious limitations, including cold start, sparsity of user-item matrix, scalability and change of user interest during the time, that impede exact recommendations to customers. Although much research has been presented to overcome these limitations, no comprehensive model is yet offered to reduce them: 1) customer segmentation based on LRFM variables in the level of product category to evaluate the length of customer relationship with the company, recency, frequency, and monetary of purchasing product categories; 2) extracting association rules based on user-category matrixes in the level of each cluster; 3) customer segmentation according to demographic variables; 4) change of user-item matrix and reduction of its dimensions; 5) developing a new similarity function by weighted combination of results of segmentation methods and CF. According to the gained results, the proposed system of this research has resulted in the removal of traditional CF constraints and presents more accurate and appropriate recommendations for the preferences of customers. Journal: Int. J. of Business Information Systems Pages: 455-478 Issue: 4 Volume: 31 Year: 2019 Keywords: collaborative filtering; data mining; e-commerce; recommender system; temporal information. File-URL: http://www.inderscience.com/link.php?id=101582 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:4:p:455-478 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Nawaz Khan Author-X-Name-First: Ali Nawaz Author-X-Name-Last: Khan Author-Name: Ahsan Ali Author-X-Name-First: Ahsan Author-X-Name-Last: Ali Author-Name: Naseer Abbas Khan Author-X-Name-First: Naseer Abbas Author-X-Name-Last: Khan Author-Name: Noor Jehan Author-X-Name-First: Noor Author-X-Name-Last: Jehan Title: A study of relationship between transformational leadership and task performance: the role of social media and affective organisational commitment Abstract: In today's society, social media have become an almost essential part of everyday life, particularly in the organisations where almost every employee and manager/leader use social media. Recently scholars have started to investigate leader's communication with their employees by using social media. However, leader's role in motivating their followers to use this innovation and increase performance is ignored by researchers. Using social capital theory as a base, the objectives of the present study are to examine the role of social media and affective organisational commitment between the relationship of transformational leadership (TFL) and employee's task performance (ETP). The proposed model was tested with the data collected from 254 employees from insurance companies situated in China. Model was tested by PLS-SEM with using SmartPLS 3. Findings of the study suggest that transformational leadership has a direct positive relationship with task performance and affective organisational commitment as well as indirect positive relationship via social media on task performance. This study contributes to the existing literature in the field of social media, leadership, commitment, and performance. Implications, limitations and future research are discussed. Journal: Int. J. of Business Information Systems Pages: 499-516 Issue: 4 Volume: 31 Year: 2019 Keywords: social media; transformational leadership; TFL; affective commitment; performance; insurance companies. File-URL: http://www.inderscience.com/link.php?id=101583 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:4:p:499-516 Template-Type: ReDIF-Article 1.0 Author-Name: G. Nikhila Varma Author-X-Name-First: G. Nikhila Author-X-Name-Last: Varma Author-Name: K. Padma Author-X-Name-First: K. Author-X-Name-Last: Padma Title: Forecasting agricultural commodity pricing using neural network-based approach Abstract: Over the last decade, unprecedented spikes and drops in commodity prices have been a recurrent source of concern to both policymakers and the investors. This research paper focuses on effective prediction of commodities prices which will be a key contribution to the investment world and policy makers to devise strategies. Neural network and multiple regression models were built that would efficiently predict the price in advance for different forecasting ranges considering Kapas as the product. Historical prices along with various price influencing factors like inflation, rainfall, exchange rate and cottonseed oil cake price were given as input parameters to the feed forward multi-perceptron neural network and multiple regression models for forecasting prices. The results were compared using mean absolute percentage error (MAPE) as an accuracy measure. Artificial neural network models outperformed multiple linear regression models for medium-term and long-term data. The results indicate that for long-term predictions, neural network models have high predictive power. Journal: Int. J. of Business Information Systems Pages: 517-529 Issue: 4 Volume: 31 Year: 2019 Keywords: commodities; forecasting; neural networks; multiple regression. File-URL: http://www.inderscience.com/link.php?id=101584 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:4:p:517-529 Template-Type: ReDIF-Article 1.0 Author-Name: Zaher Salah Author-X-Name-First: Zaher Author-X-Name-Last: Salah Author-Name: Abdel-Rahman F. Al-Ghuwairi Author-X-Name-First: Abdel-Rahman F. Author-X-Name-Last: Al-Ghuwairi Author-Name: Aladdin Baarah Author-X-Name-First: Aladdin Author-X-Name-Last: Baarah Author-Name: Ahmad Aloqaily Author-X-Name-First: Ahmad Author-X-Name-Last: Aloqaily Author-Name: Bar'a Qadoumi Author-X-Name-First: Bar'a Author-X-Name-Last: Qadoumi Author-Name: Momen Alhayek Author-X-Name-First: Momen Author-X-Name-Last: Alhayek Author-Name: Bushra Alhijawi Author-X-Name-First: Bushra Author-X-Name-Last: Alhijawi Title: A systematic review on opinion mining and sentiment analysis in social media Abstract: This paper employed information retrieval and statistical techniques for producing systematic literature review (SLR). Sentiment analysis (SA) and opinion mining (OM) in social media domain were considered as a case study to produce an example of SLR. The produced SLR introduced the field of SA and OM and surveyed current issues in user content based mining in social media field. SLR retrieves and evaluates the multiple relevant research papers concerning specific research questions. The paper details different approaches for conducting SA and OM and provides a common framework for searching and selection procedure applied to extracting the research papers that cover comprehensively the intended research directions in the field. This systematic review investigates the SA and OM techniques that are found in more than 60 specialised research papers in the field of data mining with respect to social media. Journal: Int. J. of Business Information Systems Pages: 530-554 Issue: 4 Volume: 31 Year: 2019 Keywords: social network analysis; opinion mining; OM; sentiment analysis; SA; data mining techniques; information retrieval. File-URL: http://www.inderscience.com/link.php?id=101585 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:4:p:530-554 Template-Type: ReDIF-Article 1.0 Author-Name: Ruchika Gupta Author-X-Name-First: Ruchika Author-X-Name-Last: Gupta Author-Name: Siddharth Varma Author-X-Name-First: Siddharth Author-X-Name-Last: Varma Title: A structural equation model to assess behavioural intention to use biometric enabled e-banking services in India Abstract: India has a very meagre percentage of internet users doing banking transactions online despite a large, rapidly growing population of internet users. The objective of this paper is to evaluate the behavioural intention of customers to adopt biometric enabled banking services using the technology acceptance model. Confirmatory factor analysis has been carried out and a structural equation model has been developed using AMOS. Hypothesis testing has been done including demographic variables of age, income and internet banking usage. A survey of a sample of 200 respondents was conducted in the National Capital Region of Delhi. Perceived ease of use was found to be an important factor in determining behavioural intention to use biometrics. Demographic factors were found to have no significant effect on the attitude towards use of biometrics. Intention to use biometrics in banking being unaffected by demographic factors is positive news for biometric usage. Journal: Int. J. of Business Information Systems Pages: 555-572 Issue: 4 Volume: 31 Year: 2019 Keywords: e-banking; biometric; customer intention; demographic; structural equation model; SEM; India; confirmatory factor analysis; CFA; technology acceptance model; TAM; security; AMOS; information. File-URL: http://www.inderscience.com/link.php?id=101586 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:4:p:555-572 Template-Type: ReDIF-Article 1.0 Author-Name: Aitziber Nunez-Zabaleta Author-X-Name-First: Aitziber Author-X-Name-Last: Nunez-Zabaleta Author-Name: Anjel Errasti-Amozarrain Author-X-Name-First: Anjel Author-X-Name-Last: Errasti-Amozarrain Title: Use of social media by professional workers in the Basque region of northern Spain: a new way of networking Abstract: Companies' social media strategies have different objectives that are usually implemented by the marketing department and can therefore be said to pursue a communicational approach. Yet there are also many workers, both self-employed and employees, who use social networking sites for business purposes. This paper seeks to establish the use that these workers make of Web 2.0 tools in the professional field. We therefore conducted a survey among 283 workers from the Basque Country region in Spain to establish which specific Web 2.0 tools they are using and the possible statistical differences with certain variables related to the workers themselves and to the companies they work for. We also considered a series of studies that analysed the social media strategy conducted both by companies and by their workers. Journal: Int. J. of Business Information Systems Pages: 573-590 Issue: 4 Volume: 31 Year: 2019 Keywords: social media; professional relationship; business networking; Web 2.0 tools; B2B market; self-employed; large-small companies; social networking sites; SNS; business purpose; professional contacts; business information systems; Basque region; Spain. File-URL: http://www.inderscience.com/link.php?id=101587 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:31:y:2019:i:4:p:573-590 Template-Type: ReDIF-Article 1.0 Author-Name: Emílio José Montero Arruda-Filho Author-X-Name-First: Emílio José Montero Author-X-Name-Last: Arruda-Filho Author-Name: Igor De Jesus Lobato Pompeu Gammarano Author-X-Name-First: Igor De Jesus Lobato Pompeu Author-X-Name-Last: Gammarano Title: Before game over: a study on the experiences, prediction and values of consumption of players of seventh-generation videogame consoles Abstract: This paper presents an exploratory qualitative analysis of the elements that influence the consumption behaviour of users of seventh-generation videogame consoles. It aims to improve comprehension about consumers' preferences and intentions related to brand devotion, technology convergence, hedonism versus utilitarianism, ease of use, innovation, social positioning and social interaction of videogame users in order to understand which factors are likely to motivate the adoption process of this type of technology. The categories were derived from theories of consumer behaviour and marketing that deal with the use and adoption of technology products, focusing on consumers' usage symbols and values. The study method used was netnography, with the data collected from blogs/discussion forums on the internet. For data analysis, thematic categories were used to describe types of users in relation to their consumption propensities on videogaming platforms such as the Xbox 360, PlayStation 3 and Nintendo Wii. The results show that factors related to consumer culture and behaviour, such as social positioning (status), influence the preferences of users of seventh-generation videogames. Journal: Int. J. of Business Information Systems Pages: 1-29 Issue: 1 Volume: 32 Year: 2019 Keywords: videogames; consumer behaviour; netnography; technological convergence; consumption culture. File-URL: http://www.inderscience.com/link.php?id=102697 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:1:p:1-29 Template-Type: ReDIF-Article 1.0 Author-Name: Larissa Astrogildo De Freitas Author-X-Name-First: Larissa Astrogildo De Author-X-Name-Last: Freitas Author-Name: Renata Vieira Author-X-Name-First: Renata Author-X-Name-Last: Vieira Title: Ontology-based feature-level sentiment analysis in Portuguese reviews Abstract: Sentiment analysis is the field of study that analyses people's opinions in texts. In the last decade, humans have come to share their opinions in social media on the web. Opinions are important because whenever we need to take a decision, we want to know others' points of view. In this work we study this more detailed level of analysis, which is called the aspect-level. This more detailed type of analysis requires going deeper in the parts of a sentence and an effort to deal with their meaning, therefore knowledge rich approaches are useful. For that we use ontologies, as they can be used to represent the relevant aspects of entities, in a semantic organized way, for instance, aspects that are 'part-of' or properties of an entity in a domain of knowledge. Our approach is built for Portuguese and is evaluated on a reviews data set of the accommodation sector. Journal: Int. J. of Business Information Systems Pages: 30-55 Issue: 1 Volume: 32 Year: 2019 Keywords: sentiment analysis; feature level; ontology. File-URL: http://www.inderscience.com/link.php?id=102698 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:1:p:30-55 Template-Type: ReDIF-Article 1.0 Author-Name: Aakash Ashok Kamble Author-X-Name-First: Aakash Ashok Author-X-Name-Last: Kamble Author-Name: Shubhangi Walvekar Author-X-Name-First: Shubhangi Author-X-Name-Last: Walvekar Title: Relationship between customer loyalty and service failure, service recovery and switching costs in online retailing Abstract: Service failures in e-tailing are inevitable, understanding how service failure and recovery efforts affect customer loyalty forms an important topic for discussion among researchers and practitioners. This study investigates the relationship of service failure severity, service recovery justice and perceived switching costs with customer loyalty. It also studies the moderation relationship between service recovery justice and perceived switching costs. Data collected from 306 respondents tested against the research model adopted from previous studies suggests that, service failure severity. Interactional justice, procedural justice and perceived switching costs have a significant relationship with customer loyalty and that interactional justice can mitigate the negative relationship between service failure severity and customer loyalty. Journal: Int. J. of Business Information Systems Pages: 56-72 Issue: 1 Volume: 32 Year: 2019 Keywords: customer loyalty; switching costs; service failure severity; e-tailing; service recovery; e-commerce; retailing. File-URL: http://www.inderscience.com/link.php?id=102699 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:1:p:56-72 Template-Type: ReDIF-Article 1.0 Author-Name: Abdel-Rahman Al-Ghuwairi Author-X-Name-First: Abdel-Rahman Author-X-Name-Last: Al-Ghuwairi Author-Name: Mohammad Khalaf Author-X-Name-First: Mohammad Author-X-Name-Last: Khalaf Author-Name: Zaher Salah Author-X-Name-First: Zaher Author-X-Name-Last: Salah Author-Name: Ayoub Alsarhan Author-X-Name-First: Ayoub Author-X-Name-Last: Alsarhan Title: Dynamic changes of QoS parameters in cloud computing service level agreement Abstract: Service level agreement (SLA) in cloud computing can be defined as a contractual agreement signed between cloud user and cloud provider in order to manage the quality of service (QoS) parameters which are the fundamental part of SLAs. The current dynamic SLA monitoring approaches have considered the cloud provider's perspective only. To take into consideration the user's perspective; this research proposes a dynamic SLA monitoring approach by generating new SLA terms based on analysing the SLA penalties. A new proposed trade-off mechanism is applied between monthly cost and QoS guarantee values. Thus; we propose a dynamic model for updating QoS parameters of SLA in cloud environment. Java language is used with a QoS measurement dataset to experiment the proposed approach. The current Static SLA (SSLA) approaches are compared with the proposed Dynamic SLA (DSLA) approach. The results of this experimental study show that the number of SLA violations in DSLA are less than the number of SLA violations in SSLA. Journal: Int. J. of Business Information Systems Pages: 73-90 Issue: 1 Volume: 32 Year: 2019 Keywords: cloud computing; quality of service; QoS; service level agreement; SLA; static service level agreement; SSLA; dynamic service level agreement; DSLA. File-URL: http://www.inderscience.com/link.php?id=102700 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:1:p:73-90 Template-Type: ReDIF-Article 1.0 Author-Name: Asharul Islam Khan Author-X-Name-First: Asharul Islam Author-X-Name-Last: Khan Author-Name: Zuhoor Al-Khanjari Author-X-Name-First: Zuhoor Author-X-Name-Last: Al-Khanjari Author-Name: Mohamed Sarrab Author-X-Name-First: Mohamed Author-X-Name-Last: Sarrab Title: Prioritising mobile learning application requirements Abstract: Mobile technology has become an integral part of human life. Nowadays, people have started using mobile devices and communication network in educational, commerce, and health domain. Mobile learning (M-learning i.e., learning using portable devices) application development is affected due to changing technology and users' requirements. M-learning stakeholders face difficulty in reaching consensus on the available requirements implementation priority during design and development of M-learning application. Moreover, there is insufficient research to draw firm conclusion on suitable method for requirements prioritisation in M-learning application development. Therefore, this paper presents a requirements prioritisation scenario for M-learning application development. The requirements prioritisation scenario has four steps: identification of stakeholders, prioritisation of requirements by identified stakeholders, analysis of prioritised requirements, and assigning final priority to the requirements by analyst. The process is repeated iteratively. The requirements prioritisation scenario is implemented in a case study to understand the feasibility in the actual use. Journal: Int. J. of Business Information Systems Pages: 91-108 Issue: 1 Volume: 32 Year: 2019 Keywords: requirements prioritisation; requirements prioritisation scenario; mobile learning; mobile learning application; M-learning requirements; mobile application requirements prioritisation scenario; prioritisation; M-learning requirement prioritisation scenario. File-URL: http://www.inderscience.com/link.php?id=102705 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:1:p:91-108 Template-Type: ReDIF-Article 1.0 Author-Name: Sheetal Vij Author-X-Name-First: Sheetal Author-X-Name-Last: Vij Author-Name: Avinash J. Agrawal Author-X-Name-First: Avinash J. Author-X-Name-Last: Agrawal Author-Name: Debajyoti Mukhopadhyay Author-X-Name-First: Debajyoti Author-X-Name-Last: Mukhopadhyay Title: Multi-strategy-based e-negotiation using web services Abstract: Negotiation is an iterative process where opponent and proponent exchange offers and counter offers with each other, with each iteration opponent can be modelled in more efficient way and an appropriate strategy can be selected for a particular opponent, i.e., by treating strategy as a dynamic component. This research focuses on web-service-based automated negotiation with decision-making capability about the strategy selection. Every strategy has certain applicability which needs to be established through experimentation and analysis. Journal: Int. J. of Business Information Systems Pages: 109-125 Issue: 1 Volume: 32 Year: 2019 Keywords: e-negotiation; electronic negotiation; multi-strategy; e-commerce; electronic commerce; web-service; business information systems. File-URL: http://www.inderscience.com/link.php?id=102706 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:1:p:109-125 Template-Type: ReDIF-Article 1.0 Author-Name: Nitasha Hasteer Author-X-Name-First: Nitasha Author-X-Name-Last: Hasteer Author-Name: Abhay Bansal Author-X-Name-First: Abhay Author-X-Name-Last: Bansal Author-Name: B.K. Murthy Author-X-Name-First: B.K. Author-X-Name-Last: Murthy Title: Barriers to crowdsource software development: evaluating the intertwined effects Abstract: Cloud computing has changed the application development landscape. Using a cloud to outsource software development to a crowd of developers is an emerging area. While on one hand, developing software through crowdsourcing has merits of providing diverse innovative solutions with no investment in the manpower, on the other hand, such a creative task is constraint by the barriers to successful implementation. In this work, we identify and report the barriers to crowdsource cloud application development. We use the decision making trial and evaluation laboratory technique to analyse and determine the direct and indirect intertwined effects amongst the identified barriers. From the results, we infer that granular nature of changing technology, lack of trust on crowdsourced platforms, lack of understanding on intellectual property issues and security apprehensions are classified as the root causes that affects coordination and collaboration amongst the contestants of the crowdsourced platform, among other barriers. Journal: Int. J. of Business Information Systems Pages: 127-144 Issue: 2 Volume: 32 Year: 2019 Keywords: cloud computing; application development; DEMATEL; cause and effect relationship; crowdsourcing. File-URL: http://www.inderscience.com/link.php?id=103070 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:2:p:127-144 Template-Type: ReDIF-Article 1.0 Author-Name: Mohanad Halaweh Author-X-Name-First: Mohanad Author-X-Name-Last: Halaweh Title: Implementation of the COD payment method on e-commerce websites in the Arab Region Abstract: The cash on delivery (COD) payment method has been increasingly used in recent years as a method of payment in e-commerce transactions. However, research within the e-commerce field to determine how widely this payment method has been adopted is limited, especially from the e-commerce websites' perspective, at the global level, and specifically in Arab countries. Therefore, the aim of this paper was to study the current use of COD in the Arab region by evaluating e-commerce websites that accept this payment method. The research findings showed that all surveyed e-commerce websites have adopted the COD payment method in addition to other e-payment options. The findings also revealed that there is no consistency in the icon/image used to indicate acceptance of this payment method or where it is located on the website. Results also revealed that there is lack of clarity in policies pertaining to this payment method. The interpretations of the research findings and implications as well as future research are discussed. Journal: Int. J. of Business Information Systems Pages: 145-160 Issue: 2 Volume: 32 Year: 2019 Keywords: e-commerce; online payment methods; e-payment; adoption; cash on delivery; COD; acceptance; Arab Region; online shopping; information systems. File-URL: http://www.inderscience.com/link.php?id=103071 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:2:p:145-160 Template-Type: ReDIF-Article 1.0 Author-Name: Iyad Alazzam Author-X-Name-First: Iyad Author-X-Name-Last: Alazzam Author-Name: Marwa Samih Al-Amri Author-X-Name-First: Marwa Samih Author-X-Name-Last: Al-Amri Title: Test coverage and impact analysis for detecting refactoring faults: a study on the inline method Abstract: Using refactoring techniques is known as a good practice to enhance the software quality either by decreasing the complexity or enhance the behaviour of the software. Here, we conduct a study using inline method refactoring technique to investigate the significance of this technique, in order to examine how this kind of refactoring affect the coverage of the test suite by applying impact analysis of test coverage. We apply inline method refactoring on one package of JGAP; open source java project and make some experiments. The results show the inline method refactoring has essential benefit in decreasing complexity. On the other hand the results reveal that this refactoring technique has a negative impact on coverage from testing perspective. Journal: Int. J. of Business Information Systems Pages: 161-169 Issue: 2 Volume: 32 Year: 2019 Keywords: test coverage; refactoring; inline. File-URL: http://www.inderscience.com/link.php?id=103072 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:2:p:161-169 Template-Type: ReDIF-Article 1.0 Author-Name: Kshitij Kushagra Author-X-Name-First: Kshitij Author-X-Name-Last: Kushagra Author-Name: Sanjay Dhingra Author-X-Name-First: Sanjay Author-X-Name-Last: Dhingra Title: Determinants for adoption of cloud in government sector in India: a review Abstract: Across the globe, organisations are moving towards cloud computing due to its wide array of advantages. The amplification in cloud adoption in near future is very predictable as it is cheaper, better and faster than traditional IT services. This review work primarily focuses on the determinants for the adoption of cloud computing in India and particularly in government sector. Government sector requires academic research because they are complex institutions, largest employers in the country and one of the biggest spenders on technology, but have not been positioned at the cloud computing dimension so far. India's adoption has not been accelerated at the pace which other nations across the globe have achieved. This study tries to find the gaps and bottlenecks for adoption of cloud computing and will form the bedrock for the future research in informational technology field. Journal: Int. J. of Business Information Systems Pages: 170-198 Issue: 2 Volume: 32 Year: 2019 Keywords: cloud service provider; infrastructure as a service; platform as a service; software as a service; government; India. File-URL: http://www.inderscience.com/link.php?id=103073 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:2:p:170-198 Template-Type: ReDIF-Article 1.0 Author-Name: Habib Ullah Khan Author-X-Name-First: Habib Ullah Author-X-Name-Last: Khan Author-Name: Helmi Hammami Author-X-Name-First: Helmi Author-X-Name-Last: Hammami Title: Measuring internet addiction in Europe-based knowledge societies: a case study of France Abstract: The technological evolution has put a new challenge, internet addiction along with the internet technology before the world. The study intended to collect the data pertaining to internet usage among the residents of France with the help of modified internet addiction test tool, which is originally developed by Widyanto et al. (2011). The study data is collected from 122 respondents. The outputs of the analysis provided interesting insights. It is proved from the analysis that age has more bearing on the level of internet addiction. Yet, subtle factors are playing a role in providing a vague picture about the influence of constructs on internet usage and addiction. During first stage of analysis, the effect of emotional management is not present, during second stage effect of time management is not evident and in third stage of analysis, except the effect of emotional management index no other effect of constructs is found on the internet usage pattern. Journal: Int. J. of Business Information Systems Pages: 199-218 Issue: 2 Volume: 32 Year: 2019 Keywords: internet addiction test; IAT; internet addiction; IA; internet gaming disorder; IGD; online cognitive scale; pathological internet use scale; PIUS; internet use scale; emotional/psychological conflict time management; mood management; culture. File-URL: http://www.inderscience.com/link.php?id=103075 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:2:p:199-218 Template-Type: ReDIF-Article 1.0 Author-Name: Seyed Hossein Siadat Author-X-Name-First: Seyed Hossein Author-X-Name-Last: Siadat Author-Name: Lotfollah Najjar Author-X-Name-First: Lotfollah Author-X-Name-Last: Najjar Author-Name: Navid Nezafati Author-X-Name-First: Navid Author-X-Name-Last: Nezafati Title: Mobile banking acceptance by the customers in Iranian banks Abstract: In this research mobile banking acceptance is studied among Iranian banks from the consumer's point of view. To investigate attitude towards use of mobile banking, attitude variables are studied including ease of use, effectiveness, cost, risk, and credit, and trust, compatibility with style, demographic characteristics, social influences, self-efficacy and satisfaction. Therefore, this study builds a comprehensive conceptual model consisting of both attitude and demographic factors. We collected 385 samples from five cities of Iran: Tehran, Mashhad, Bandar-Abbas, Babol and Khorram-Aabad, in the form of electronic and printed questionnaires. The research confirmed all primary assumptions with respect to attitude variables. According to the results, the proposed variables can effectively clarify the acceptance of mobile banking among Iranian customers. Regarding demographic characteristics, effect of gender on mobile banking acceptance is proven, but the effects of age, education and monthly income on mobile banking acceptance are not proven. Compatibility with life style and satisfaction were found to have the highest coefficient correlation among other variables. Journal: Int. J. of Business Information Systems Pages: 253-271 Issue: 3 Volume: 32 Year: 2019 Keywords: mobile banking; adoption; mobile banking acceptance; attitude; demographic characteristics. File-URL: http://www.inderscience.com/link.php?id=103076 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:3:p:253-271 Template-Type: ReDIF-Article 1.0 Author-Name: Delroy A. Chevers Author-X-Name-First: Delroy A. Author-X-Name-Last: Chevers Author-Name: Gerald G. Grant Author-X-Name-First: Gerald G. Author-X-Name-Last: Grant Title: Developers' views on the adoption and benefits of software process improvement programs in Canadian software development firms Abstract: For decades software developers have struggled in their attempts to deliver high quality software products. Against this background, software process improvement (SPI) programs are viewed as one of the solutions to overcome the problem of delivering low quality software products. This study utilised a two-phase approach to ascertain the state of SPI adoption and the determinants of information systems (IS) quality and success in Canadian software development firms. The study found a moderate adoption rate of SPI programs and it was felt that user training and technical support could positively impact the success of information systems projects. Based on these arguments a proposed research model was presented with the hope of it being validated in future studies. Journal: Int. J. of Business Information Systems Pages: 238-252 Issue: 2 Volume: 32 Year: 2019 Keywords: adoption; process maturity; software process improvement; SPI; software development. File-URL: http://www.inderscience.com/link.php?id=103077 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:2:p:238-252 Template-Type: ReDIF-Article 1.0 Author-Name: Efosa C. Idemudia Author-X-Name-First: Efosa C. Author-X-Name-Last: Idemudia Author-Name: Ogechi Adeola Author-X-Name-First: Ogechi Author-X-Name-Last: Adeola Author-Name: Nubi Achebo Author-X-Name-First: Nubi Author-X-Name-Last: Achebo Title: The online educational model and drivers for online learning Abstract: The rapid and constant growth of technology, hardware, and software have greatly influenced and improved online education. Universities all over the world are investing huge sums of money in online courses and degree programs. Some universities are offering these programs at all levels of study - from baccalaureate to doctoral. Given the increasing importance of online learning, stakeholders' interests must be considered in designing effective learning environments to improve the acceptance of these programs, to lower their drop-out rates, and to motivate students to complete their studies. To our knowledge, there are no studies that have directly applied the stakeholder theory to online education. To address this issue and contribute to the literature, we developed an online educational model that provides insights and understanding on how to improve and develop online education. The theoretical background for our online educational model is the stakeholder theory. The theoretical and practical implications of our research are discussed. Journal: Int. J. of Business Information Systems Pages: 219-237 Issue: 2 Volume: 32 Year: 2019 Keywords: 24/7 access; motivation; self-regulation; robust technology; perceived usefulness; perceived familiarity; perceived ease of use. File-URL: http://www.inderscience.com/link.php?id=103078 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:2:p:219-237 Template-Type: ReDIF-Article 1.0 Author-Name: Senthil Arasu Balasubramanian Author-X-Name-First: Senthil Arasu Author-X-Name-Last: Balasubramanian Author-Name: G.S. Radhakrishna Author-X-Name-First: G.S. Author-X-Name-Last: Radhakrishna Author-Name: P. Sridevi Author-X-Name-First: P. Author-X-Name-Last: Sridevi Author-Name: Thamaraiselvan Natarajan Author-X-Name-First: Thamaraiselvan Author-X-Name-Last: Natarajan Title: Business health characterisation of listed Indian companies using data mining techniques Abstract: The purpose of our study was to predict the business health of listed Indian companies using data mining tools and algorithms called ANN-MLP and DT-QUEST and identify financial ratios that significantly affect the company's performance. We used 2,000 listed Indian companies with 12,000 firm-year records (cases) from 2011 to 2016 to predict the financial performances of the companies and classify them as successful or unsuccessful, based on 17 financial ratios. The final sample of data was divided into training and test set (50:50, 60:40, 70:30 and 80:20). The test results confirmed accuracy between 84% and 86% for the MLP technique and between 92% and 93% for the QUEST technique. Sensitivity analysis results showed that return on long-term fund, net profit margin, and operating margin are three critical variables that affect business health. Journal: Int. J. of Business Information Systems Pages: 324-363 Issue: 3 Volume: 32 Year: 2019 Keywords: business health; multilayer perception; sensitivity analysis; decision tree; financial ratios. File-URL: http://www.inderscience.com/link.php?id=103079 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:3:p:324-363 Template-Type: ReDIF-Article 1.0 Author-Name: D. Venkatesan Author-X-Name-First: D. Author-X-Name-Last: Venkatesan Author-Name: S. Sridhar Author-X-Name-First: S. Author-X-Name-Last: Sridhar Title: A rationale for the choice of enterprise architecture method and software technology in a software driven enterprise Abstract: Enterprise architecture frameworks (EAFs) provide tools and methods to categorise, document and depict interrelationship between enterprise business processes, stakeholders and information classes. It explicitly documents information generation, processing and consumption pattern facilitating communication and management. But there is a confusing variety of EAFs for organisations to choose from. There is no explicit guidance or justifiable rationale available to choose an EAF over others. This paper provides a rationale and attributes based evaluation of popular EAFs and conclude superiority of Zachman framework (ZF) for a software-driven enterprise (SDE). Further, this paper surveys salient aspects of different software technologies and provide an assessment framework to compare them and conclude suitability of agent technology for realising information system infrastructure of an SDE. This work makes a provocative argument that many of the modern EAFs are not suited for an SDE due to their affiliation to software technologies that are found to has several limitations. Journal: Int. J. of Business Information Systems Pages: 272-311 Issue: 3 Volume: 32 Year: 2019 Keywords: enterprise architecture; EA; enterprise architecture framework; EAF; business model alignment; BAM; enterprise software; software architecture; model driven development; MDD; system modelling; information systems design; agent technology. File-URL: http://www.inderscience.com/link.php?id=103080 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:3:p:272-311 Template-Type: ReDIF-Article 1.0 Author-Name: S. Gomathi Author-X-Name-First: S. Author-X-Name-Last: Gomathi Author-Name: D. Manimegalai Author-X-Name-First: D. Author-X-Name-Last: Manimegalai Title: Hierarchically distributed peer-to-peer architecture for load balancing and effective dynamic group scheduling in grid computing Abstract: The local or remote grid computing resources have been normally assigned the task of executing user jobs in a distributed environment. An important factor affecting grid processing is the network bandwidth that differs from network to network. In order to overcome this problem, a few typical algorithms are suggested keeping in view of computing grid resources based on load balancing across the grid system. These algorithms help in improving the performance to some extent, yet none of them has been found experimentally suitable to overcome the major short falls experienced in the grid computing system. A hierarchically distributed peer-to-peer (HDP2P) architecture is proposed to overcome all major problems encountered due to virtuality and heterogeneity. Results suggested that HDP2P architecture was of great use in balancing the load and allocating to the resources to the groups of jobs keeping MIPS accountability using grouping-based dynamic job scheduling algorithm (GBDJS). The proposed algorithm is compared with first come first served (FCFS) job scheduling algorithm and ant colony optimisation (ACO). There is a considerable improvement achieved in performance by using this novel architecture. Journal: Int. J. of Business Information Systems Pages: 312-323 Issue: 3 Volume: 32 Year: 2019 Keywords: grid system; load balancing; job scheduling; performance evaluation; hierarchically distributed peer-to-peer; HDP2P; grouping-based dynamic job scheduling algorithm; GBDJS. File-URL: http://www.inderscience.com/link.php?id=103081 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:3:p:312-323 Template-Type: ReDIF-Article 1.0 Author-Name: Yudi Fernando Author-X-Name-First: Yudi Author-X-Name-Last: Fernando Author-Name: Syarif Achmad Author-X-Name-First: Syarif Author-X-Name-Last: Achmad Author-Name: Anderes Gui Author-X-Name-First: Anderes Author-X-Name-Last: Gui Title: Leveraging business competitiveness by adopting cloud computing in Indonesian creative industries Abstract: The purpose of this study is to identify determinants of the cloud computing adoption in creative industries in Indonesia, and the impact of that adoption on business competitiveness. A theoretical model was developed based on the two complementary models, the technology acceptance model (TAM) and technology-organisation-environment (TOE). An e-survey was conducted among firms that had adopted cloud-computing technology in Indonesia creative industries. This study provides sufficient statistical evidence to infer that perceived usefulness, compatibility, security and privacy, management support and competitive pressure were related to the adoption of cloud computing. Cloud vendors must consider incorporating networks that offer more user friendly and affordable solutions to the market. One factor related user friendliness is that the network must be convenient to use without any issues related to performance. Solutions tied to the cloud should be cost effective for small and medium-sized businesses. Journal: Int. J. of Business Information Systems Pages: 364-392 Issue: 3 Volume: 32 Year: 2019 Keywords: cloud computing; adoption; creative industries; competitiveness; Indonesia. File-URL: http://www.inderscience.com/link.php?id=103082 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:3:p:364-392 Template-Type: ReDIF-Article 1.0 Author-Name: Samyadip Chakraborty Author-X-Name-First: Samyadip Author-X-Name-Last: Chakraborty Title: Exploring the antecedents of co-creation in hospital-supplier relationship: an empirical study on private sector hospitals in India Abstract: Criticality of healthcare has always been a matter of huge concern. With increasing focus towards value-based patient-care service, hospitals are struggling between continuously spiralling cost and providing increased access to quality care-services. Interactions and relationships among the hospital stakeholders have become very crucial, especially in hospital-supplier relationships. Extant literature has thrown light on interaction, systematic orchestration and collaborative ambience as essential needs for achieving value co-creation. The current study analyses the antecedents of co-creation in hospital-supplier relationship context from a service-dominant-logic (SD-logic) perspective. The study is further underpinned with theories like relational-view and relational-coordination-theory. In this empirical research, the relational antecedents of co-creation have been validated. This study further establishes the well-known DART framework (dialogue-access-risk assessment-transparency) linkages with trust, commitment and care-service orchestration (CSO) as antecedents to co-creation activities based on 229 responses from private tertiary-care Indian hospitals using structural equation modelling (SEM). Journal: Int. J. of Business Information Systems Pages: 393-424 Issue: 4 Volume: 32 Year: 2019 Keywords: healthcare; co-creation; hospital-supplier relationship; supply chain management; trust; interdependence; DART; care-service orchestration. File-URL: http://www.inderscience.com/link.php?id=103785 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:4:p:393-424 Template-Type: ReDIF-Article 1.0 Author-Name: Shafaq Khan Author-X-Name-First: Shafaq Author-X-Name-Last: Khan Title: Mitigating risks in managing cloud-based IT controls Abstract: Cloud computing (CC) represents a key tool in the race for innovation across industries. However, organisations are facing constraints in implementing and leveraging cloud technology for development purposes due to a lack of skills, knowledge and talent. To address this concern, this study focuses on the impact of CC on IT staff's roles and responsibilities, within cloud user organisations. Accordingly, this study suggests skills required to mitigate the risks in the accountability and responsibility of managing IT controls. The results were empirically verified by senior IT practitioners. The empirical intervention emphasised on people's business skills, in addition to domain knowledge and the mind-set to adapt to the changed environment. The findings of this study offers new insights for scholars and it will help IT decision makers to assess their staff's capabilities to meet their business needs and to plan appropriate selection, training and hiring policies. Journal: Int. J. of Business Information Systems Pages: 425-437 Issue: 4 Volume: 32 Year: 2019 Keywords: cloud; competencies; skills; resource management; roles; responsibilities; accountability; people; management; IT controls; risk; business information systems; information systems. File-URL: http://www.inderscience.com/link.php?id=103790 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:4:p:425-437 Template-Type: ReDIF-Article 1.0 Author-Name: R. Rajendra Kumar Author-X-Name-First: R. Rajendra Author-X-Name-Last: Kumar Title: The opinion of post graduate students on effect of interrelationship among the perceptual components with reference to online shopping Abstract: This study contemplates to identify the effect of interrelationship between the components behavioural intention through the statistical techniques such as factor analysis and structural equations modelling. Approximately 752 students aged between 18 and 25 from arts as well as engineering colleges were selected through multistage sampling method. Findings revealed that while the perceived ease of use has a significant positive impact on perceived enjoyment, the component, perceived enjoyment also has a denoting positive impact on purchase intention of online shopping consumers. Unexpectedly, the component perceived risk (PR) has an insignificant effect on perceived enjoyment (PE) and perceived ease of use (PEoU) also has a negligible effect on the perceived risk. This research is first of its kind especially in Indian context and threw new aurora on the perception of online consumers. Journal: Int. J. of Business Information Systems Pages: 438-459 Issue: 4 Volume: 32 Year: 2019 Keywords: perception; preference; perceived risk; perceived enjoyment; perceived ease of use; behavioural intention; business information; online shopping; perceptual components; post-graduate students. File-URL: http://www.inderscience.com/link.php?id=103791 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:4:p:438-459 Template-Type: ReDIF-Article 1.0 Author-Name: Vivek Agrawal Author-X-Name-First: Vivek Author-X-Name-Last: Agrawal Author-Name: Nitin Seth Author-X-Name-First: Nitin Author-X-Name-Last: Seth Author-Name: Dinesh Seth Author-X-Name-First: Dinesh Author-X-Name-Last: Seth Author-Name: Vikas Tripathi Author-X-Name-First: Vikas Author-X-Name-Last: Tripathi Title: Exploring e-service quality and its relation with customer satisfaction in the banking sector: an Indian experience Abstract: The purpose of this study is to explore the dimensions of e-service quality (e-SQ) in the context of the Indian banking sector and establish its relationship with customer satisfaction. Using a structured questionnaire, data was collected from 323 bank's customers. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to evolve a validated factor structure for measuring e-SQ in the Indian banking sector. Multiple regression analysis was used to assess the relations between e-SQ and customer satisfaction. The study identified a nine factor structure to measure e-SQ. The study also identified a positive relationship between e-SQ and customer satisfaction. The findings of this study can be used as a basis to provide the guidelines for improvement and training in e-SQ and would prove to be very useful to professionals. The findings have scalability from a single branch of the bank to the bank as a whole. This study is the first attempt to assess e-SQ dimensions in the Indian banking context using primary data. Journal: Int. J. of Business Information Systems Pages: 489-506 Issue: 4 Volume: 32 Year: 2019 Keywords: e-service quality; e-SQ; customer satisfaction; exploratory factor analysis; confirmatory factor analysis; multiple regression; banks. File-URL: http://www.inderscience.com/link.php?id=103792 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:4:p:489-506 Template-Type: ReDIF-Article 1.0 Author-Name: Carlos Habekost Dos Santos Author-X-Name-First: Carlos Habekost Dos Author-X-Name-Last: Santos Author-Name: Lucinéia Heloisa Thom Author-X-Name-First: Lucinéia Heloisa Author-X-Name-Last: Thom Author-Name: Érika Cota Author-X-Name-First: Érika Author-X-Name-Last: Cota Author-Name: Marcelo Fantinato Author-X-Name-First: Marcelo Author-X-Name-Last: Fantinato Title: Supporting BPMN tool developers through meta-algorithms Abstract: Business process model and notation (BPMN) provides an extensive set of notational elements, such as activities, events and gateways, which enable the representation of a wide variety of business processes. The purpose of this paper is to propose an approach to develop logical models (referred here as 'meta-algorithms'), whose goal is to express the content described in the textual rules, for each BPMN element, considering the BPMN2.0.2 specification. We identified that there is completeness and correctness in this approach, applying decision tables and control-flow graphs to checking the proposed meta-algorithms. In addition, we applied two surveys, considering a potential audience for the proposed meta-algorithms in order to check users' acceptance. For validation results, we identified that only textual rules are not enough to implement the notational elements for 84% of the survey participants. Journal: Int. J. of Business Information Systems Pages: 460-488 Issue: 4 Volume: 32 Year: 2019 Keywords: BPMN; tool development; notational elements; meta-algorithms; business information systems; developer; business rule. File-URL: http://www.inderscience.com/link.php?id=103793 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:4:p:460-488 Template-Type: ReDIF-Article 1.0 Author-Name: Rodrigo Fernandes Malaquias Author-X-Name-First: Rodrigo Fernandes Author-X-Name-Last: Malaquias Author-Name: Alberto Luiz Albertin Author-X-Name-First: Alberto Luiz Author-X-Name-Last: Albertin Title: Information technology investments versus the illusion of control bias Abstract: The literature indicates that the characteristics of managers, including behavioural biases, affect corporate investment/financing decisions. In this paper, we analyse a specific bias that, up to the best of our knowledge, has not been addressed in the context of information technology (IT) investments, which is the illusion of control bias. We develop the argument that managers' illusion of control negatively affects the investments in IT made by firms they manage. Through a case study, the results of this paper indicate that behavioural biases of small firms' managers are related with an illusion of control, which can affect decisions on IT investments. These results have important implications for owners/managers of small firms, especially for those firms from emerging economies. Journal: Int. J. of Business Information Systems Pages: 507-521 Issue: 4 Volume: 32 Year: 2019 Keywords: Latin America; development; technology acceptance; small business; Brazil; decision-making on IT; organisational performance; corporate decisions; competitive advantage; emerging markets; business information systems; illusion of control. File-URL: http://www.inderscience.com/link.php?id=103794 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:4:p:507-521 Template-Type: ReDIF-Article 1.0 Author-Name: Dailys Maite Aliaga Reyes Author-X-Name-First: Dailys Maite Aliaga Author-X-Name-Last: Reyes Author-Name: Renata Maria Cardoso Rodrigues De Souza Author-X-Name-First: Renata Maria Cardoso Rodrigues De Author-X-Name-Last: Souza Author-Name: Francisco José A. Cysneiros Author-X-Name-First: Francisco José A. Author-X-Name-Last: Cysneiros Title: Estimating risk in capital asset pricing for interval-valued data Abstract: This paper proposes and analyses an approach to estimate the systematic risk in capital asset pricing with interval-valued data, using as variables the high and low prices contained in the financial databases to explain the asset returns. The approach takes into account the information within the daily intervals of high and low asset prices instead the most popular opening or closing prices for estimate the regression equation of the model, for calculations involving these intervals, the basic operations on interval arithmetic were used. Also, we propose an interpretation for the estimated interval beta-parameter. The approximation capabilities of the proposed model are illustrated by means of its application the daily high and low prices on Microsoft and the S%P500 index from 1 November 2013 to 15 January 2015. Using the proposed model with interval-valued data improves financial valuation of capital assets as compared to that using the standard econometric parameters. Journal: Int. J. of Business Information Systems Pages: 522-535 Issue: 4 Volume: 32 Year: 2019 Keywords: capital asset pricing model; CAPM; interval-valued data; symbolic data analysis; SDA; regression. File-URL: http://www.inderscience.com/link.php?id=103795 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:32:y:2019:i:4:p:522-535