International Journal of Business Information Systems (108 papers in press)
Measurement of E-Banking Services Quality: An Empirical Experimentation in Jordan
by Ali Alawneh, Mofleh Al diabat
Abstract: The concept of quality and its relationship with performance tend to play a significant role in the context of e-Service markets, as e-Services quality is becoming even more crucial for businesses to attract, maintain and retain customers in the Internet market. The quality of e-Services has been one of the most researched about issues and a major challenge for both IT and business fields of study. Measures of e-Services quality have broadly utilized in many diversified frameworks for many domains of business such as e-Banking, e-Government, e-Learning, e-Healthetc. Through an extensive literature review on e-Services quality scales, Alawneh et al (2013) developed a conceptual framework for measuring e-Banking service quality in Jordan, this study refined, validated, confirmed and tested Alawneh et al (2013) framework to evaluate e-Banking services quality from the perspective of e-Banking users. In the empirical study, a sample of (300) respondents from four Jordanian commercial banks was gathered to assess the reliability, internal consistency and criterion-related validity of each construct. It produced a five factor 29-item scale that measures e-Banking service quality in terms of reliability, efficiency, security/privacy, responsiveness and communication. Further, this study aims to explore this 29-item scale and its relationships with indicators of banks performance (i.e. sales, services and marketing). The hypotheses were tested using WARP PLS-based structural equation modeling analyses and several key findings were revealed. Finally, implications and recommendations of these findings and future research suggestions were discussed.
Keywords: e-Banking, Service Quality, Measurement, Scale, Structural Equation Modeling, PLS, Jordan.
ELECTRONIC INTERVENTION AND PLATFORMS AND THEIR IMPACTS ON CROWDFUNDING BEHAVIOR
by Alan D. Smith, Susan Cockrell, Dan Meyer
Abstract: The following study examines the crowdfunding behavior of a sample of business professionals located in the service sector of metropolitan Pittsburgh, PA. In general, the empirical findings suggested that smaller goals tend to have better success ratios, while getting the targets achieved tends to attract more donors, especially when a goal is nearly met. Contrary to findings in some previous literature, there appears to be a weak link between respondents social networking use and familiarity with crowdfunding. Furthermore, respondents charitable giving habits did not closely link with crowdfunding solicitation behavior. Finally, there was a weak connection between crowdfunding behavior and income, but age did reveal a significant connection.
Keywords: business strategy; case study; crowdfunding; crowdsourcing; project-backer behavior
Open Source Accounting Software for SMEs
by Diogo Sampaio, Jorge Bernardino
Abstract: The economic market constantly shifts and change, requiring increasingly complex and agile adaptations from companies, particularly in a global world where the future is becoming unpredictable. Therefore it is critical an effective accounting management tool to build a successful business, especially for SMEs Small and Medium Enterprises, where the margin for error is small. Accounting software systems are a great solution for SMEs to improve accounting management and to assist managers to overcome the complexity of the various regulatory and administrative obligations that currently attends any commercial transaction. Unfortunately, despite all the benefits, they are not yet common in SMEs, that still favor outsourcing there financial information, frequently due to the wrong idea that accounting software is an intricate tool as well too costly. In this paper, we propose to refute this preconceived idea, and present Open Source Software (OSS) as a viable alternative to proprietary software regarding accounting software systems. We describe and compare six top open source accounting software systems and study the applicability of these tools in fitting the requirements of SMEs.
Keywords: Financial software; Accounting software systems; Open Source Software; SMEs.
Unveiling consumers privacy paradox behavior in an economic exchange
by Luvai Motiwalla, Xiao-bai LI
Abstract: Privacy paradox is of great interest to IS researchers and firms gathering personal information. It has been studied from social, behavioral, and economic perspectives independently. However, prior research has not examined the degrees of influence these perspectives contribute to the privacy paradox problem. We combine both economic and behavioral perspectives in our study of the privacy paradox with a price valuation of personal information through an economic experiment combined with a behavioral study on privacy paradox. Our goal is to reveal more insights on the privacy paradox through economic valuation on personal information. Results indicate that general privacy concerns or individual disclosure concerns do not have a significant influence on the price valuation of personal information. Instead, prior disclosure behavior in specific scenario, like with health-care providers or social networks, is a better indicator of consumer price valuations.
Keywords: Privacy paradox; privacy concerns; disclosure behaviors; privacy calculus; personal information; privacy valuation
Factors affecting Cloud Computing Adoption: Perspectives of IT Professionals
by Ibrahim Al-Jabri, Mohammed Alabdulhadi
Abstract: The purpose of this research is to study the factors affecting cloud computing adoption. This study used the technology-organisation-environment (TOE) framework as a baseline for the factors affecting cloud computing adoption. The specific factors in the TOE framework are relative advantage, compatibility, complexity, organisational readiness, top management support, competitive pressure, and business partner pressure. An online-based survey was employed to collect data from 106 IT managers, IT consultants, and IT professionals working in Saudi organisations. Using binary logistic regression analysis, the results revealed that top management is positively and significantly associated with the likelihood of cloud computing adoption. The findings offer organisations and cloud computing service providers with better understanding of factors affecting the adoption of cloud computing.
Keywords: cloud computing; computing adoption; technology-organization-environment; relative advantage; compatibility; complexity; organizational readiness; top management; competitive pressure; business partner pressure; IT professionals; Saudi Arabia
A theoretical and methodological examination of knowledge management maturity models: a systematic review
by Mona Jami Pour, Amir Manian, Hamid Reza Yazdani
Abstract: Maturity models assist organizations to evaluate processes effectively. During two decades ago, the researches about maturity models and process improvement has grown increasingly. Investigating the theoretical basics of maturity model in KM field and revealing the gaps in this domain are challenging tasks for researchers. Until today, no studies have been available summarizing the theoretical foundations, methods and results of the field of maturity model in KM research. To gain research objective, systematic literature review was conducted in studies related to KM maturity form valid scientific databases from 2000 to 2014. In this study, in addition to addressing KM paradigms in general and offering challenges and strength aspects of each paradigm, theoretical foundations of KM maturity research have also examined in particular. Results show that functionalist is the prominent paradigm in all articles except one of them while this paradigm has criticized in many IS researches. The findings provide holistic insight for both researchers and practitioners. Researchers can use study findings as reference and starting point for developing new KM maturity models. At the same time, this study as a references framework can assist practitioners to identify appropriate maturity models for their business situation. The main research contribution is structuring and analyzing the available literature of the field of KM maturity to identify their theoretical foundations as well as research gaps via a systematic way. A discussion of future of KM maturity model is also provided.
Keywords: knowledge management, maturity models, KM paradigms, mapping study
A Framework to measure Coupling using Static Change Impact Analysis
by Subhrakanta Panda, Durga Prasad Mohapatra
Abstract: Software defects can often be the result of many changes made to a software over a period of time. Incomplete or incorrect comprehension of the program segments affected by the changes may cost regression testing. Therefore, identification and testing of such program segments early in the testing phase can reveal more regression errors. Driven by this motivation, this paper uses a new slicing technique to identify the affected program segments through static change impact analysis. The probability of a program segment being erroneous is then shown by computing the coupling factor of the affected program segments. We propose a novel static approach to compute the coupling factor of these affected program segments to predict the erroneous parts. The theoretical validation and comparative analysis shows the correctness and preciseness of the approach.
Keywords: Slicing; Hierarchical Slicing; Intermediate graph; Dependences; Coupling; Export Coupling.
Tailoring for Agile Methodologies: A Framework for Sustaining Quality and Productivity
by Nitin Uikey, Ugrasen Suman
Abstract: Agile software development has been embraced increasingly in the last two decades. Process customization is required to any selected method for satisfying the objectives. For achieving project success, software process must be tailored according to customer requirements. Although agile methodologies have best practices in themselves, to create a distinctive process for a project and accumulating various practices is difficult. There is a need for the framework and guidelines, which can benefit the tailoring process accessible and understandable. This paper proposes a framework, which can guide the teams to choose among different agile practices and create a process, which best suits the project and the organization. The decision is based on environmental factors, customer requirements, project goals and project tailoring strategies. Through empirical study, it is observed that the organizations support agile as part of the development, but practitioners feel more improvements are required in methodology processes.
Keywords: tailoring; agile; agile methods; framework and guidelines; agile process tailoring; traditional development phases; empirical study; sustaining quality; sustaining productivity; agile practices.
Determinants of the Information Systems Effectiveness at the Ministry of Communications-Kuwait
by Omar Khalil, Haitham G. Ghanim, Refaat H. Abdel-Razek
Abstract: As the role of Information Systems (IS) in public institutions continues to broaden in scope and complexity, it is imperative to determine whether they are effective and how they can be improved. A research model was adopted to investigate IS effectiveness and its determinants at the Ministry of Communications (MOC) of Kuwait. The research model includes five constructs--system quality, information quality, service quality, user satisfaction, and impact on job performance. Ten hypotheses were formulated and tested. The findings substantiate the importance of systems quality, information quality, and service quality as determinants of IS effectiveness, as measured by user satisfaction and impact on job performance. These findings should serve as a foundation for future efforts aimed to improve IS effectiveness at MOC, and contribute to the growing literature on IS effectiveness in public institutions in developing countries.
Keywords: IS Effectiveness, Information Quality, System Quality, Service Quality, User Satisfaction, Individual Impact, Kuwait
Presentation of the model for Readiness Assessment of ERP Implementation in Iranian Small and Medium Enterprises
by Babak Shirazi, Mahboobeh Mohammadkazem, Majid Aarabi
Abstract: In recent years, with the enterprise resource planning (ERP) systems production for small and medium enterprise (SMEs), the demand has increased due to ERP implementation in SMEs. These systems are one of the latest information technologies which can help SMEs to overcome their limitations. However, due to the limited resources in small and medium enterprises, if the implementation project is unsuccessful, the chance of surviving or re-achieving the previous status seems to be unlikely. Therefore, it is necessary to represent a model for assessing the readiness of SMEs which take into consideration the specific characteristics and critical success factors of the enterprises. A model that can identify the weaknesses of enterprises prior to the establishment of ERP system. So, this paper proposes a new framework based on INQA model for assessing the readiness of small and medium enterprises in Iran to perform the ERP Project. In this model, Organizational readiness is examined in five areas named, management, processes, employees, resources, and particular area for ERP. This strategy can be used to determine the current status of enterprise and identify necessary changes prior to system implementation.
Keywords: Enterprise Resource Planning (ERP); Small and Medium Enterprises (SMEs); Enterprise Readiness assessment; Critical Success Factors (CSFs); Iranian National Quality Award Model (INQA).
Approaching information system evaluation methodology and techniques: A comprehensive review
by Hayel Ababneh, Fayiz Shrafat, Dia Zeglat
Abstract: This paper advances our knowledge of information systems (IS) by drawing ideas and insights from IT/IS evaluation. The emergence and increasing pressure to invest in new IS architecture and infrastructures has become a high priority issue within organisations, and largely influenced by the need to deliver better value products and service through robust and responsive supply chains. With this in mind, business managers are seeking to use appropriate methods and techniques to appraise and justify the financial contribution of IS at strategic, operational and tactical levels. Thus, Comprehensive but understandable methodologies are needed to solve the complicated project justification problems arising from the complexity of new technologies. Notwithstanding, a wide body of literature has emerged that sheds light on various methods for evaluating the cost and benefits of IT/IS investment, ranging from simple to very complex techniques. This paper sets out to provide a review of this literature in order to lend insights into our understanding of the plethora of reported research in the literature that has propagated investment justification and benefits management models and frameworks. We show that the IT/IS evaluation literature contributes significantly to scholarship on the IS.
Keywords: Information system; IT/IS evaluation; IT/IS evaluation methodology; IT/IS evaluation techniques
A Fuzzy expert system for response determining diagnosis and management movement impairments syndrome
by Fatemeh Mohammadi Amiri, Ameneh Khadivar, Alireza Dolatkhah
Abstract: Diagnosis is a very important aspect of medical care. Expert systems are developed to make the skills of specialists available for non-specialists. These systems simulate human thinking and performance and approach the performance of expert systems to the performance of a human expert. The purpose of this study is to develop a fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in elbow and shoulder. A fuzzy Delphi method is used to gather data related to symptoms and treatments. By knowledge acquisition, an expert system is developed. Components of the proposed system consist of a knowledge base, fuzzy inference engine, working memory, user interface and knowledge acquisition utilities. The developed system is able to diagnose 18 disorders of the elbow and the shoulder. To compare systemic diagnosis and expert diagnosis, SPSS software is used for statistical analysis. Because 26 out of 30 patients had a systemic diagnosis similar to the expert diagnosis, it can be concluded that 86.7% of systemic diagnoses are similar to expert diagnosis. In absence of experts, this intelligent application can provide reliable diagnosis and treatment. Application of intelligent and semi-intelligent systems such as expert systems can aid the users to make decisions.
Keywords: fuzzy expert system, diagnosis, fuzzy Delphi method, musculoskeletal disorders
EXPLORING BIOMETRIC TECHNOLOGY ADOPTION IN A DEVELOPING COUNTRY CONTEXT USING THE MODIFIED UTAUT
by Boluwaji Akinnuwesi, Faith-Michael Uzoka, Gbenga Fashoto
Abstract: Biometric technology (BT) is a component of information security and person identification. Individual acceptance and adoption of BT is fundamental to successful implementation of BT by organizations. There has been a fairly moderate but improving pace of adoption of technology in developing countries. This study investigates factors affecting users intention to use BT in a developing country based on the modified version of the Unified Theory of Acceptance and Use of Technology (UTAUT). Results show that simpler biometric methods (e.g. fingerprinting) have higher level of utilization than more complex ones (e.g. DNA). The intention to adopt biometrics is influenced by perceived ease of use, security, resource facilitating conditions, self-efficacy, and compatibility. Technology facilitating condition and awareness were found to exert some level of impact, while perceived usefulness, awareness, peer influence and complexity did not show any statistical influence on the intention to adopt BT.
Keywords: Biometrics, adoption, developing country, Unified Theory of Acceptance and Use of Technology, Decomposed Theory of Planned Behaviour
Software as a Service (SaaS) Quality Factors Evaluation using Analytic Hierarchy Process (AHP)
by Yudho Giri Sucahyo, Yan Yonathan Rotinsulu, Achmad Nizar Hidayanto, Devi Fitrianah, Kongkiti Phusavat
Abstract: The opportunity to broaden the marketing target by taking advantage of the emerging technology of cloud computing is encouraging the business provider in launching the Software as a Service (SaaS) as a service product for the consumers. However, the SaaS service provided sometimes is not running as smoothly as expected which may impact to the customers perception on the SaaS quality. The purposes of the research are to identify the SaaS quality factors and to utilize these factors in developing a framework to evaluate the SaaS service quality given by the SaaS Providers. The framework is developed using the Analytic Hierarchy Process (AHP) and involving 10 respondents with 4-18 years experiences in SaaS field. The result of the process shows that there are 32 factors that influence the SaaS quality. These factors consist of 15 factors related to product, 10 factors related to process and 7 factors related to organisation. The highest priority of each group of factors are security factor for product group, quality control factor for process group and technically competent employees factor for organisation group. We also demonstrate the application of the SaaS service quality factors framework to evaluate the SaaS service quality in one of the SaaS based human resource management application vendor.
Keywords: Software as a Service; SaaS; Quality Factor; Service Quality; Cloud Computing; Analytic Hierarchy Process; AHP; Information Systems; Indonesia
Consumer's attitude to receive and response to SMS advertising
by Mahdi Shadkam
Abstract: Mobile phone advertising has emerged as one of the fastest growing advertising mediums in recent times, and this rise is being led by Short Message Service (SMS) advertising. Despite the growing number of worldwide companies adopting SMS advertising, very little is understood about consumer reactions to this medium. In particular, little academic research has been conducted on consumers attitude to receive and response to SMS advertising messages. This research aims to bridge the gap between academic knowledge and advertising practice by testing some potential drivers of consumers attitude to receive SMS advertising as well as the relationships between the attitude to SMS advertising, intention to receive SMS advertising and behavioural responses to SMS advertising. The results from this study highlight the need for advertisers to design SMS advertisements carefully, containing information that is useful, contextually relevant and correctly targeted. In addition, marketers should focus on building relationships with customers and offer incentives to accept SMS advertising in order to improve negative behavioural responses.
Keywords: SMS advertising; Mobile marketing; M-commerce; Consumer behaviour.
Evaluating Classification Accuracy: The Impact of Resampling and Data Set Size
by Jehad Imlawi, Mohammad Alsharo
Abstract: Correct prediction is important criterion in evaluating classifiers in supervised learning context. The accuracy rate is a widely accepted indicator of the probability of misclassification of a classifier. Nevertheless, true accuracy remains unknown in most cases since it is not always possible to include the whole population in a study, and it is difficult to calculate the probability distribution of the data. Therefore, researchers often rely on computing estimation from the available data through sampling. When the available data is small or limited, it is common to rely on a resampling technique for accuracy estimation.
In this paper, we study the impact of the resampling against non-resampling estimation method, with different data set sizes on the sample distribution variance. Initial results indicate that there is a significant difference in the variance of the sample distribution between resampling and non-resampling. We also found that the larger the data set size, the less significant the difference in variance.
Keywords: Resampling, Dataset Size, Classification Accuracy, Cross Validation, Distribution Variance.
A Decision Process Model to Support Migration to Cloud Computing
by Adel Alkhalil, Reza Sahandi, David John
Abstract: Migration to cloud computing is a strategic organisational decision that can affect performance, productivity, growth, as well as increase competitiveness. The decision to migrate is usually complicated and dynamic due to the immaturity and the still evolving nature of the cloud environment. Although there have been many proposed methods for supporting the migration, no systematic decision process exists that clearly identifies the main steps and explicitly describes the tasks to be performed within each step. In this paper, a decision-making process model, based on a two-stage survey, is proposed. The model guides decision makers through a step-by-step approach, aiding them with their decisions for cloud migration. It offers a preliminary structure for developing a cloud knowledge-based decision support system. The model was evaluated by a group of cloud practitioners. The analysis demonstrates a high level of acceptance with regard to the structure, tasks involved and issues addressed by it.
Keywords: Information systems, cloud computing, cloud migration, decision-making process, cloud decision support, security, cloud knowledge-based system
ASSESSING SYSTEMS ARCHITECTURE: AN EXPLORATORY FRAMEWORK
by Elias George, Rashmi Jain
Abstract: In the current business environment, competitive forces are pushing companies to leverage value from their system architecting competency that supportsthe long-term growth of these companies. Inefficient system architectures become a baggage and constrain innovation and new system development using new technologies. A system
Keywords: Architecting, Architecture, Assessment, Attributes, Evaluation, Systems
The Mediation Role of Supply Chain Integration in Relationship between Employee Commitment with Organizational performance
by Mohsen Hooshangi, Jamshid Salehi Sadaghiani, Matin Rashidi Astaneh, Zahra Amin Afshar
Abstract: The research main purpose is investigating the impact of supply chain integration on organizations commitment and performance. Based on it we perform an analyses direct and indirect impact of employee commitment on three dimensions of supply chain integration and organizations performance. The statistical population of this study is the buying managers of manufacturing companies in Qazvin province. 53questionnaires with multiple choice questions are the required samples which were distributed among sample individuals. The research is based on structural equation modeling, so the partial least squares method and Smart-PLS software were used. Empirical results revealed that employee commitment directly impact supplier, customer, internal integration and organizations performance too. On the other hand internal integration impact positively supplier and customer integration whereas impacts organizations performance and too. The results supported the positive impacts of customer integration on organization performance, but the relation between supplier integration and organization performance does not supported.
Keywords: Supplier Integration, Customer Integration, Internal Integration Employee Commitment, Organizational performance
AHP Based Framework for Prioritizing Critical Success Factors to Achieve ERP Implementation Success
by Somnath Roy, Purnima S. Sangle
Abstract: The purpose of this study is to develop a hierarchical framework that encompasses the entities that affect the ERP Implementation process. An AHP model is developed with multiple levels. The levels comprise the primary factors (decomposed into themes and sub-factors), the actors involved, and finally their (actors') definition of success in terms of criteria and sub-criteria.
The paper provides a mechanism to identify the relative importance of the critical success factors, actors, and the success criteria and sub criteria. This mechanism enables the stakeholders to express their opinion on the various aspects of the ERP implementation in the setting of a group decision making process. Depending on the differences of the stakeholders responses from the organizational point of views, remedial action can be taken in a more focused manner.
Keywords: AHP, ERP Implementation Success, Critical success factors, Stakeholder perspectives, Enterprise resource planning, ERP Success criteria
Comparing The Approaches of Small, Medium, and Large Organizations in Achieving IT and Business Alignment
by Muhammad Rifki Shihab, Ikhsan Rahardian
Abstract: This research aims to identify whether small, medium and large organizations employ different approaches in achieving IT and business alignment. The Strategic Alignment Maturity (SAM) model was utilized as the basis for evaluation. The respondents of this research were 107 different organizations representing small, medium and large businesses with diverse industry backgrounds ranging from those in creative industries to those in manufacturing, computing, and even telecommunication providers. Through six different ANOVA tests, this research has confirmed that organizations of different scales significantly differ in the way they approach alignment. Furthermore, this research looked deeper using multiple comparisons and analyzed whether the three organizational scales employ the SAM model dimensions and their attributes differently. The results were akin, in almost all cases, small and medium sized organizations shared the same approaches towards attaining alignment with each other, and differed when compared to the approaches of large organizations.
Keywords: IT Alignment, Alignment, Strategic Alignment Maturity Model, IT Governance, Small organizations, Medium organizations, SMEs, Large organizations, Anova.
Investigating the Impact of Information Culture on the Adoption of Information System (IS) in Public Health Sector of Developing Countries.
by Dalbir Singh, Adnan Mukred, Nurhizam Safie
Abstract: Despite the importance of the information culture, little is known about the influence of information culture on the adoption of information systems (IS) among employees in public health sector of developing countries. This research explores the influence of information culture factors on employees behavioral intention to adopt IS. Information culture factors have been suggested as important predictors of IS adoption. Quantitative structured questionnaire was administered to 312 employees in public health sectors of Yemen. SPSS and Structural Equation Modeling (SEM) were used for data analysis and evaluation of the research model. The findings revealed that self-efficacy, social influence, performance expectancy and perceived access significantly influence employees intention to adopt IS. However, perceived need, perceived information sharing, and effort expectancy influence attitude significantly which, in turn, influences their behavioral intention. In addition, perceived awareness negatively influences behavioral intention. Moreover, facilitating conditions and effort expectancy did not have any significant influence on employees behavioral intention.
Keywords: adoption, behavioral intention, developing countries, information system, information culture, public health sector, UTAUT model.
The Use of UTAUT to Investigate the Adoption of E-Government in Jordan: A Cultural Perspective
by Ahmad Rabaa'i
Abstract: E-Government is believed to be vibrant in developing the public sectors around the globe, as it assures more accountability and transparency. Jordan, as a developing country, has developed a number of e-Government services. The success of e-Government services is dependent one both; the government support as well as citizens willingness to adopt those e-government initiatives. This study adopted a modified version of the unified theory of acceptance and use of technology (UTAUT) to examine factors that determine the adoption of e-government services in Jordan. Also, the study aims to examine whether and how national culture has an impact on e-government adoption. A survey collected data from 1132 users of Jordans e-government services. Using partial least squares (PLS) of structural equation modelling (SEM) analysis technique, the results show that all the five factors, namely: Performance expectancy, Effort expectancy, Social influence, Facilitating conditions and Behavioural intention have significant effect on the adoption of e-government services in Jordan.
Keywords: Culture, e-Government, ICT adopting, Jordan, UTAUT.
Prioritization of the solutions of Knowledge Management adoption in bank using FAHP
by Elahe Nadimi
Abstract: The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Banks to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (FAHP) to identify and rank the solutions of KM adoption in banks and overcome its barriers. In this paper, banks(private bank , semi private bank and state-owned bank) have been prioritized regarding the level, the solutions of knowledge management adoption sub-criteria and quintuplet solutions of Knowledge Management adoption scopes (strategic barriers, organizational barriers, cultural barriers , Technological barriers , and Individual barriers ). Results show that private bank, semi private bank, and state-owned bank are on the first, second and last priority, respectively. The results obtained from fuzzy AHP methods indicate that strategic barriers are on the first priority and organizational barriers, cultural barriers, technological barriers, and individual barriers are on the next priority. Then regarding to the strategic barriers scales, it is realized that lack of top management commitment towards KM adoption is most important. Regarding to the organizational barriers scales, it is realized that, lack of proper organizational structure to create and share knowledge is most important. Regarding to the technological barriers index, it is realized that, lack of technological infrastructure to adopt KM is most important. Regarding to the cultural barriers index it is realized that, lack of willingness and sharing spirit among members is most important. Regarding to the individual barriers index, it is realized that, lack of time to share knowledge is most important.
Keywords: knowledge, knowledge management, Fuzzy Analytic Hierarchy Process
Identifying the causal relationship between social media content of a Bollywood movie and its Box-office success - A text mining approach
by Biplab Bhattacharjee, Amulyashree Sridhar, Anirban Dutta
Abstract: Marketing strategies for movies have undergone a rapid metamorphosis over the years with the progress of new technological innovations and its associated impact on consumer behavior. The advent of social media has brought a rapid transformation in the dynamics of marketing for both the service-providers and the customers. Social media gives a two way interacting platform for users and service providers and such interactions generate voluminous textual content which has a cascading influence on public mind-space. This mammoth data can be a source for deriving new insights into the customer behavioral dynamics and can also act as a handy tool for revenue enhancement. This study is designed to understand whether the polarity of the social media content of a Bollywood movie can essentially reveal any insights about the potential box office revenues. In this study, the initial steps involved data collection from social media, followed by text mining to identify the sentiments about a movie. The relationship between the sentiments captured from social media and total revenue generated was explored in both pre-release and post-release scenarios. Based on the data extracted from post-release settings, a linear regression model was built. In the model, the box-office revenue was considered as dependent variable and sentimental-metrics were taken as independent variables. The model was further statistically validated using covariance and correlation analysis. Based on this model, the first week box-office collection was predicted for the pre-release movies. The model so constructed was able to forecast the box-office revenues correctly to a larger extent. Further, improvement of this model by the incorporation of additional metrics can boost its effectiveness as a robust predictive system.
Keywords: Social Media, Sentimental analysis, Bollywood, Box-office, Text analytics
Keeping E-Business in Business: Identifying The New Perspective of Server Operating Systems
by Nijaz Bajgoric
Abstract: In today's e-business era system downtime equals to financial losses and going out-of-business. As modern business information systems are operated by enterprise servers, server operating systems that run them play crucial role in keeping application servers up and running. Therefore, considering server operating systems from business perspective and keeping them available 24x7x365 is critical for keeping e-business in business. The paper is aimed at identifying a business perspective of server operating systems as a core component of business information system infrastructures from business continuity perspective. A holistic framework of such a perspective is presented in the form of a conceptual model of server operating environment for continuous computing with major technology enablers. Model is supported by three cases and SWOT analysis.
Keywords: business information systems, e-business, server operating systems, business continuity, continuous computing
A STITCH IN TIME SAVES NINE: THE ROLE OF MORAL JUDGMENT IN REDUCING INTERNET POLICY VIOLATIONS
by Matt Campbell, jordan shropshire, Antonis Stylianou
Abstract: Internet access has become ubiquitous in many organizations. While employees need this access to perform their duties, many studies report a large percentage of employees use their work Internet access in violation of organizational policies. These activities can result in reduced efficiency, increased vulnerability to cyber-attack, and legal liability. Although firms vary according to their acceptable personal internet use policies, they tend to provide generic usage guidelines which do not provide a clear basis for decision making. We argue that the decision to use company internet resources for personal use is largely a moral decision, a fact which has been previously overlooked in research and in practice. In this study, we create and test a predictive model which is framed using moral judgment. The model is confirmed using a survey of 787 knowledge workers. Our results suggest that organizations should incorporate moral guidelines in their acceptable internet use policies.
Keywords: internet policy violations, perceived moral intensity, technology abuse, personal internet usage at work, moral judgment, organizational behavior
A Framework for Knowledge Sharing in ERP System Usage in Small and Medium Enterprises: A Preliminary Review
by Mohammad Bany Baker, Zawiyah Yusof
Abstract: Enterprise Resource Planning (ERP) system, a comprehensive integrated system, has been increasingly utilized in majority of organizations. Its success is noted in some organizations while in others, its failure is a topic for discussion. It is thus important to examine the way ERP system used in the context of organizations. Hence, knowledge sharing is key factor for success of ERP system usage. In this study, a framework of knowledge sharing for ERP system users in small and medium-sized enterprises (SMEs) is proposed. A thorough review of literature stresses on the factors that contribute to successful knowledge sharing. These are organizational, social capital, individual and IT-related factors. On the basis of such a review, the studys conceptual model was proposed comprising of four main constructs, which are organizational, social capital, individual and technological factors. It is recommended that future studies should conduct on the validity of the proposed conceptual model.
Keywords: Enterprise resource planning (ERP) system, Small and medium-sized enterprises (SMEs), Knowledge sharing, Social capital, Individual, Organizational, Technological factors.
Employee Performance Evaluation in Institute of Higher Education using Fuzzy AHP Methods
by Zahra Ghassabi
Abstract: Todays business executive is in a seemingly never ending search for employees who are not only high performing, but are also willing to remain and grow with the organization.( WRIGHT,2010).companies began to quantify , the most efficient method for performing each work task, piece-rate systems of compensation to maximize employee work effort, and the selection and training of employees based on a thorough investigation of their talents and skills) Ferris,2007). The main aim of this study was employees Performance evaluation at those Institutes of Higher Education. The model of the study is tested on a sample of 30 experts in Institute of Higher Education in Iran. The main instruments used for gathering the data in this study were Institute of Higher Education records and questionnaire. In this study, Personal qualities & strength , Management skills, Talent & aptitude sub-scales were ranked regarding to factor effective on Performance evaluation of employees including Personal qualities & strength , Management skills, Talent & aptitude by using Fuzzy hierarchical analysis (FAHP). The results obtained from fuzzy AHP methods indicate that Personal qualities & strength is more important than Management skills, Talent & aptitude. According to the Talent & aptitude factor, it is concluded that Subject knowledge is superior to other factors. According to Personal qualities & strength scale, it is concluded that Decisiveness are more important than other factors. According to Management skills scale, it is concluded that Time management are more important than other factors
Keywords: performance evaluation, Human resource practices, Organizational performance and Fuzzy Analytic Hierarchy Process
An Integrative Model for Realizing Benefits from Enterprise Resource Planning Implementation
by Shahin Dezdar
Abstract: The purpose of this paper is to examine the role of project factors, technology factors and organizational factors in realizing benefits from enterprise resource planning (ERP) system implementation. This study is the first to conceptualize an integrated relationship between ERP implementation benefits, ERP project factors, ERP system factors, and organizational factors in one model. The study was conducted using a survey questionnaire. The questionnaires were distributed to ERP users in Iranian organizations and in total, 384 responses were collected and analyzed. The study showed that there is a positive relationship between project management, team composition and competence, top management support, enterprise-wide communication, organizational culture, and user satisfaction with ERP implementation benefits. The study also indicated that ERP system quality, ERP vendor support, and user training and education had positive relationship with user satisfaction and ERP implementation benefits accordingly.
Keywords: Enterprise resource planning; ERP benefit; ERP implementation; User satisfaction, organizational culture; Developing countries; Iran
To identify the Critical Success Factors for Cloud Computing Adoption by MCDM technique
by Rakesh Raut, Pragati Priyadarshinee, Manoj Jha, Manoj Kharat
Abstract: SMEs play a very vital role in each market by significantly contributing to each countrys Gross Domestic Product (GDP) and its labour market. Therefore proposing new strategies or developing new systems that can help SMEs become more efficient and productive is not only beneficial for SMEs but also for the economy of a Country as a whole. The decision about the selection of Cloud Computing adoption is crucial for every manufacturing company. However, the selection on an appropriate system may prove difficult, especially for small and medium manufacturing enterprises which may not have sufficient resources (money and personnel) to properly implement the system. This study aims to provide a systematic approach towards the cloud computing adoption, in which Analytical Hierarchy Process (AHP) are proposed. In this paper, Analytic Hierarchy Process is applied to find the importance degree of each criterion as the measurable indices of the cloud computing adoption. This study considers nine (9) criteria with fifty one (51) sub-criteria, which has somewhat already been used, and establishes a ranking model that provides decision makers to assessing the prior implementation of cloud computing adoption.
Keywords: Cloud computing, adoption, MCDM, AHP, SEMs.
E-Governance diffusion in the telecenters of Karnataka A gender analysis
by Lakshmi Shankar Iyer, Subba Rao
Abstract: E-Governance is the interaction between a government and its citizens to deliver services in an efficient manner by means of information technology and telecommunication. The current study takes into account three aspects namely - economical, governance and services that impact the e-Governance diffusion in the telecenters set up at the hobli level of Karnataka state. A framework is created with these aspects and validated through the present study. The study explores whether gender differentials exist in the e-Governance diffusion process. The research adds up to the literature in establishing that gender differentials disappear when the e-Governance is in the stage of maturity. One way ANOVA is used to identify the gender differentials in e-Governance diffusion through the NadaKacheri centres of Karnataka. The study proposes policy changes by the Government to render better services and governance to the citizens.
Keywords: e-Governance diffusion, telecenters, Gender and e-Governance, citizen services, citizen benefit certificates, gender differentials, NadaKacheri centers, hoblis, Atalji JanaSnehi Kendras, transparency, governance, e-Governance, accountability
Social Capital, Social Media, and TV Ratings
by Chong Oh, Stephanie Yergeau
Abstract: Motivated by the increasing role of social media in relating to economic outcomes, this paper examines the relationship between social networking sites (SNS) and television ratings drawing from the social capital theoretical framework of bonding and bridging. Based on the context of U.S. network television (TV) programmes, we collected measures for Facebook likes and Facebook talk for thirty-eight TV programmes and their respective Nielsen ratings over a period of five weeks, resulting in a sample size of 165 weekly observations. In testing OLS Regression models, we determined that key social media measures, proxy for social capital, are positively associated with performance ratings. In essence, TV programs with a higher number of Facebook likes (bridging) and Facebook talk (bonding) are likely to relate to higher performance ratings. In addition we conclude that weak ties (bridging) are important as a conduit to connect fans to TV shows but in the long run, strong ties (bonding) are needed to reinforce those relationships towards fan loyalty. Contributions to both research and practice are discussed.
Keywords: business intelligence; social capital; bridging; bonding; structural holes; closure; social media; social media analytics; social networking
USING AHP METHOD TO EVALUATE E-PAYMENT SYSTEM FACTORS INFLUENCING MOBILE BANKING USE IN IRANIAN BANKS
by Mohammad Osmani, Khaled Moradi, Rozan MZA
Abstract: Understanding the key factors influencing the use of mobile banking is vital for banking customers and managers. E-Payment systems play a key role in online banking. Nowadays, it has become more common to absorb new customers in order to use the mobile banking. However, in the mobile banking technology, the electronic payment systems need to be assessed from different viewpoints to boost the performance of these systems. Therefore, in this research, a multi-criteria decision making model (MCDM) is developed comprising the key factors that impact the mobile banking usage in the Iranian banks. From the literature, we developed a research model including 4 main criteria and 22 sub-criteria. For collecting data, 12 experts that had enough experience in working with online banking systems were requested to participate in the online survey. AHP as the multi-criteria decision making method is used for ranking the criteria and sub criteria to incorporate the research model. The obtained data were analyzed by using Expert Choice software. The pairwise comparisons results revealed that rom the main criteria, the most important factor that influence the use of Iranian mobile banking was the security infrastructure (with weight 0.375). Additionally, as the sub criteria, authorization in legal infrastructure, trust in socio-economical infrastructure, security in security infrastructure, and flexibility in technical infrastructure had high priority (with weights 0.538, 0.370, 0.297, and 0.199 respectively).
Keywords: Analytical Hierarchy Process; AHP; Online banking; Mobile banking; Critical factor; Electronic Payment System; Iranian banks.
Fine-grained opinion mining of product review using sentiment and semantic orientation
by Gaurav Dubey, Ajay Rana, Jayanthi Ranjan
Abstract: The reviews or feedback about the product or service has become quite significant in marketing, promoting or improvising the product or service. Since, the e-commerce or purchasing online products has become trend these days. The availability of product reviews is online and in the form of text. But these reviews are very much in the unstructured form which does not help either the new consumer or the organization to take up any decision further. In this paper, we have proposed an approach based on opinion mining and sentiment analysis. We have explored the sentiment orientation and sentiment classification to evaluate the customers review. The reviews of various mobiles were converted from unstructured to structure to extract the summarized knowledge from online reviews. The 1000 number of user reviews were explored and the empirical results found that the sentiment orientation and classification provides the effective methods for better decision making and benchmarking.
Keywords: Online Reviews, Semantic Orientation, Opinion Mining
Graphical Business Process Modelling Standards, Techniques and Languages A Literature Review
by Youseef Alotaibi
Abstract: Literature shows that there are many graphical business Process Model (PM) tools, techniques and standards. However, choosing the right tools and techniques with which to model BPs is very complicated as there are not as many guidelines to describe the concepts involved. Thus, the modellers should know the purpose of their model in order to select the right techniques and tools. Categorizing the different graphical business PM techniques, tools and standards into different groups with the same functions and characteristics can make logical sense of them. In this paper, we have categorized the existing graphical business PM techniques and tools into two groups: graphical standard at enterprise level and at process level, and have provided a comprehensive analysis on the existing graphical business PM techniques and tools. Our proposed literature review can help in enhancing manufacturing practice as it provides a right picture for the business analysts and modellers regarding what are the most satiable techniques for their cases and requirement. Thus, the manufacturing and companies process time, cost and performance can be enhanced and improved their revenue.
Keywords: Business Process Management (BPM); Business Process Modelling (PM); Business Process (BP); Enterprise Model; Graphical Standard; Literature Review; Process Model
Behaviour approach for composite OWL-S services discovery
by Maamar Khater
Abstract: Service discovery is the process of retrieving the service most similar to the query based on the description of functional and/or non-functional semantics. The matchmaking based only on service profile (inputs/outputs) is not sufficient in the case of composite services. to overcome profile matching limitations, we propose an approach based subgraph isomorphism to check the matching of process structure between two OWL-S process models of composite services and shortest path (OWLS-SP) to compute the score of matching between nodes of service and query (atomic services).
Keywords: Composite web services, OWL-S, matchmaking, subgraph isomorphism, shortest path, information systems.
Impact of Employees Participation in Communities of Practice (CoP) on Individual, Community, and Organizational Performance: A Case Study at PT PLN (Persero) Distribusi Jakarta Raya and Tangerang
by Devi Fitrianah, Samuel Rizal Harahap, Achmad Nizar Hidayanto, Dina Chahyati, Kongkiti Phusavat
Abstract: This research aims to evaluate the impact of CoP participation for individual, community, and organization performance, and to find the types of participation providing most benefits to PT PLN (Persero) Distribusi Jakarta Raya and Tangerang. The data were collected by sending questionnaires to the employees in 10 company areas, which resulted as much 238 copies. The collected data were processed with Partial Least Square (PLS). The result of this research showed that CoP proved to provide benefits for individuals and to the community as well as the organization indirectly. Moreover, types of participation that provides most benefits to performance are work barrier discussion, followed by success story discussion. However, career development discussion has not been proven to give benefit to organization.
Keywords: Communities of Practice; CoP; type of participation; individual performance; community performance; organizational performance; knowledge management; knowledge management systems; knowledge sharing; Partial Least Square (PLS); Indonesia
Assessing the relationships among information systems integration, coordination cost improvements, and firm profitability
by Adam Maiga
Abstract: This paper used a survey questionnaire approach to obtain results about the roles of bonding cost improvement, internal monitoring cost improvement and external transaction cost improvement in mediating the impacts of internal and external information systems (IS) integration on firm profitability. Results indicate that internal IS integration is significantly associated with external IS integration. Both bonding and internal monitoring cost improvements are significantly impacted by internal IS integration, while external transaction cost improvement is impacted by external IS integration. All three cost improvements are significantly associated with firm profitability. The effect of internal IS integration on firm profitability is mediated through both bonding and internal monitoring cost improvements. Similarly, the effect of external IS integration on firm profitability is mediated through external transaction cost improvement. Furthermore, the link between internal IS integration and profitability is mediated through external IS integration and external transaction cost improvement.
Keywords: Information systems integration, internal coordination costs, external coordination costs, profitability
The Evolution of the Business-IT Strategic Alignment Process: Key Insights and Emergent Views from a 40-year Period (1975-2014)
by Manuel Mora, Fen Wang, Mahesh Raisinghani
Abstract: The process of Business-Information Technology Strategic Alignment (BITSA) has been consistently ranked as a top priority by Chief Information Officers (CIOs). For over three decades, a vast amount of conceptual and empirical research on BITSA has been conducted. Main outcomes of BITSA research include constructs on the BITSA process, frameworks for understanding its main components, models for predicting its successful occurrence, and methods for guiding toward a successful BITSA process. However, the BITSA literature can appear as contrasted and fragmented for researchers, and copious and ambiguous for CIOs given the multiple views and recommendations for achieving the BITSA objectives. Thus, in this paper we conduct a selective yet intensive literature review on the BITSA process with the aim to provide a summary of core concepts, an evolution model, and an account of theoretical and practical implications. Through this literature review, a four-stage evolution model of BITSA emerges and an updated view of the BITSA process as a complex adaptive system is supported.
Keywords: Business-IT Strategic Alignment (BITSA) process, IT Strategy, Business Strategy, IT Strategic Planning, Complex Adaptive System (CAS), Chief Information Officer, CIO
Barriers and Benefits of Using Social Networking Sites versus Face-to-Face Meetings for Sharing Knowledge in Professional Societies
by Kamla Ali Al-Busaidi, Gillian Ragsdell, Ray Dawson
Abstract: Abstract. This study aims to assess the benefits and barriers of social networking sites (SNS) for sharing knowledge in professional societies, compared to face-to-face meetings (F2F). SNS can be a valuable technology for non-profit organizations. Studies have investigated the barriers and benefits of knowledge sharing in firm-based communities of practice (CoP) or virtual CoP, but not much is known about professional societies use of public SNS for knowledge sharing. Based on two rounds of a Delphi study, the results revealed the benefits and barriers of F2F meetings compared to the benefits and barriers of SNS for sharing knowledge in professional societies.
Keywords: Keywords: knowledge sharing; professional societies; social networking sites; SNS, face2face meeting; delphi study; knowledge management; knowledge; social media; social networking; knowledge sharing benefits; knowledge sharing challenges.
Testing and Validating the ERP Success Evaluation Model for Higher Education Institutes of Pakistan
by Sehrish Nizamani, Khalil Khoumbati, Imdad Ismaili, Saad Nizamani, Sarwat Nizamani, Nazish Basir
Abstract: Higher Education Commission (HEC) of Pakistan has taken profound measures to bring significant improvement in public sector universities of Pakistan. HEC signed an agreement with Oracle PeopleSoft to equip public sector universities of Pakistan with high-tech Information Technology (IT) solutions. To this end, HEC initially implemented Enterprise Resource Planning (ERP) campus management system in seven universities of Pakistan as a pilot project. Since then, it has been considered as an important shift from standalone legacy systems to campus-wide integrated ERP system. However, there is void in literature to evaluate ERP implementation in various public and private sector universities of Pakistan. This research formulates a conceptual model for ERP success factors based on strong background theories to effectively evaluate the success of ERP system implementation in public and private universities of Pakistan. A questionnaire based on online survey approach was used to collect data from 323 respondents from various universities of Pakistan. The respondents were active users of ERP. Findings of the paper result in a refined model for analyzing success of ERP implementation in various universities of Pakistan. By employing this model, the paper also reports on the success and failure of ERP implementation at several universities in Pakistan. Finally, the undertaken study implies that its findings may substantially add regarding the future decisions of ERP implementations.
Keywords: Enterprise Resource Planning, ERP, Oracle PeopleSoft, Campus Management Solutions, CMS, Higher Education Institution, HEIs, Pakistan
Assessing the impact of Information Technology excellence on firm profitability and market value in emerging economies: A study from India
by Bharat Arora, Zillur Rahman
Abstract: Investments in information technology (IT) form a substantial portion of capital expenditure of firms, and organizations are constantly looking for ways in which IT can be used to attain sustained profitability. However, there is scarcity of empirical studies that have examined whether IT can provide sustained competitive advantage to firms in major emerging economies such as India. This study seeks to empirically test whether superior IT capability can provide sustained profitability to multinational corporations and domestic firms in India. To this end, the financial performance of 94 firms from 15 different industry sectors has been analysed to determine whether superior IT capability of these firms led to improved profitability. Our results show that superior IT capability does not provide competitive advantage to firms operating in India. Another important finding of this research is that in recent years stock markets have given higher valuation to firms with superior IT capability despite the fact that superior IT capability is not associated with improved profitability. This finding has direct implication for investors and financial analysts who still perceive that IT capability can provide higher profitability to firms.
Keywords: Information Technology; Competitive advantage; IT investments; Emerging markets; India; Business value of IT.
INTERNET FINANCIAL REPORTING: USER PERCEPTION IN INDONESIA
by Luciana Spica Almilia, Sasongko Budisusetyo
Abstract: The objective of this research is to conduct a survey of the users of financial information through the company's website related to the kind of information the user needs information website company (include: investors, stock analysts, public accountant). This research is not to test hypotheses, but rather on how the company's website information the user needs, ie: investors, stock analysis, public accountant, lecturer and researcher in the field of Accounting.rnThe study explores the user perception in terms of the company's website: (1) websites frequently visited and trusted, (2) the purpose of visiting the company's website, (3) the information provided in the company's website, (4) the company's important information needed by the user, (5) assessment of the company's website, (6) reporting of financial information over the Internet can replace the financial statements are printed on paper, and (7) the standardization of financial information on the Internet. Respondents in this study were 73 respondents, but 7 are not complete in filling out the survey research. Total respondents that can be analyzed are 67 respondents.rnThe results of this study show that: (1) users of financial information companies very rarely visit the company's website and more frequently visit and trust the stock exchange website, (2) a company's financial report key information sought by users of the company's website, (3) financial statements users can obtain the necessary financial information on the company website, (4) the company is not optimally utilize the company's website as a media to disseminate information to the user company information, (5) the required financial reporting by the user is printed financial information.rn
Keywords: internet financial reporting, company’s website, financial information, internet, technology
Social Media Marketing: Literature Review and Future Research Directions
by Mayank Yadav, Zillur Rahman
Abstract: In a decade's time, the social media has not only brought about drastic changes in the mode of communication but has also become an important marketing tool, making it an area of eminent interest for the academicians as well as the industrialists. This study provides a taxonomic classification of the social media research articles published in the marketing journals listed on the website of the Academy of Marketing Science, from 2004 to March 2015. In addition to it a framework depicting various antecedents, mediators, moderators and consequences has been developed. This is presumably the first exhaustive review of the literature on the social media for the period 2004-March 2015, comprising both classification of the literature and various constructs adopted in the social media research. It contributes to the existing body of literature by providing more comprehensive knowledge of the trends in, and the cause-and-effect relationship between the constructs used in the social media research.
Keywords: social media; social media marketing; user generated content; literature review.
Holistic Procedures for Contemporary Formative Construct Validation using PLS: A Comprehensive Example
by Ahmad A. Rabaa'i
Abstract: Sound advice from knowledgeable methodologists synthesized from the literature, has yielded herein a complete and readily useable set of guidelines for best-practice contemporary formative construct validation using partial least squares (PLS). Procedures are logically organized around indicator level and construct level validation. Indicator level validation is concerned that each indicator contributes to the formative construct by carrying the intended meaning. Tests advocated are in attention to: (i) potential multicollinearity, (ii) formative indicator weights, (iii) formative indicator loadings, and (iv) formative indicator criterion validity. These procedures are advocated at all formative levels of the focal construct, thus guidelines presented are sufficient whether validating formative constructs that are multidimensional (multiple levels) or unidimensional (single level). Construct level validation includes tests of: (i) nomological validity, and (ii) external validity. Assessing nomological validity involves evaluating the extent to which the formative construct behaves as expected within its network of hypotheses. Testing the external validity of a formative model entails assessing the extent to which the formative indicators in combination capture the full domain of the construct.
Keywords: Information Systems Evaluation, IS-Impact, Formative Construct Validation, PLS, SEM
An empirical investigation of online review diagnosticity
by Amar Raju.G, Dennis Joseph
Abstract: Online reviews have become an essential tool for evaluating products and services with the exponential growth of online shopping. Marketers are also using online product reviews as important promotional tools that motivate the consumers to buy. Websites that provide better information in the form of online reviews will eventually attract more consumers. In this context, it is important to improve the perceived diagnosticity of online reviews. Present empirical study aims to investigate whether argument quality and source credibility of information in online reviews affect the review website diagnosticity. The study also investigates whether this perceived diagnosticity in turn affects consumers attitude towards the website and revisit intention.
Keywords: Electronic word of mouth communication, product reviews, online reviews, argument quality, source credibility, diagnosticity.
ARE ENTERPRISES READY FOR BIG DATA ANALYTICS? A SURVEY BASED APPROACH
by Habib Ullah Khan, Vitor Fabian Brock
Abstract: Big data analytics is a fascinating topic in the field of computer science and information systems as it challenges fundamental aspects of computation. Big data analytics also challenges technology adoption theories as it dramatically changes the way organisations and people manage large quantities of information. The aim of this study is to investigate the acceptance and usage of big data analytics in enterprises, and to understand how end-users perceptions and organisational factors influence the implementation of big data projects. This study unfolds in two objectives. The first objective is to examine the concepts and elements of big data and big data analytics. Big data analytics is not a single off-the-shelf product, or a one size fits all solution but high-volume, high-velocity, and high-variety information assets that exceed the capabilities of traditional storage infrastructure, computing environment, database systems and human resources. There are benefits in all industries apart from the data driven organisations. The second objective is to propose and empirically validate an extensive model of technology acceptance incorporating individual perceptions and organisational elements. The proposed research model expands the traditional technology acceptance model (TAM) by incorporating the dimensions of organisational learning capabilities (OLC). This study surveyed 359 information technology professionals from 83 countries in various industries who are studying at the University of Liverpool Online. This study provides relevant academic and practical insight as it integrates two technology adoption frameworks to explain the adoption of big data analytics.
Keywords: Technology Acceptance Model (TAM); Organizational Learning Capabilities (OLD); Big Data; Exabyte.
Privacy-Preserving Item-based Recommendations over Partitioned Data with Overlaps
by Ibrahim Yakut, Jaideep Vaidya
Abstract: User ratings are vital elements to drive recommender systems and, in the case of an insufficient amount of ratings, companies may prefer to operate recommender services over partitioned data. To make this feasible, there are privacy-preserving schemes. However, such solutions currently have not comprehensively investigated probable rating overlaps among partitioned data. Such overlaps make collaboration over partitioned data more challenging, especially if overlapped values are divergent. In this study, we examine this privacy-preserving recommender problem and propose novel schemes in this sense. By means of our schemes, two parties can perform item-based collaborative filtering over partitioned data with divergent overlaps. We also show that the proposed solutions promote prediction quality with tolerable overheads.
Keywords: Collaborative filtering; privacy; arbitrary partitioning; rating overlaps
Differences in Information System for Exploratory and Exploitative processes of Innovation and UDR/USR type of Innovators
by Vinay Singh, RRK Sharma
Abstract: Literature on innovation suggests that innovative business units seem to be information intensive and ambidextrous in nature. Some business units carry out exploratory and exploitative processes under different roof (UDR) and others under same roof (USR). To establishing the balance between exploration and exploitation in Innovators, Information System (IS) plays important role to share the information accurately, timely, effectively and efficiently. Present study explores three aspects: (1) differences in focus (clear v/s unclear orientation) of Information System in UDR and USR type of innovative business units; (2) difference in characteristics of IS facilitating exploratory activities v/s exploitative activities considering (i) type of information being used (ii) its flexibility and; (iii) business processes characteristics as mapped on IS. The study framework is set in the form of nine hypotheses and verified through primary data obtained from 31 Innovators (15 UDR and 16 USR types) through structured questionnaire. Majority of the hypotheses are supported from the data. The study attracts new researchers to enhance flexibility dimensions of IS to cope-up with the rigor of innovation activities and fragile innovation process.
Keywords: UDR and USR type of Innovators, dimensions of IS, Exploration/Exploitation processes, Linkage of Information System and Innovation
E-Commerce market trends: A case study in leveraging Web 2.0 technologies to gain and improve competitive advantage
by Ching Chieh Kiu, Chien Sing Lee
Abstract: The emergence of Web 2.0 technologies have changed the way e-commerce can be sustained and improved to enhance competitive advantage. Integrating Web 2.0 technologies into e-commerce websites not only improves customer shopping experience but also enhances customer engagement. These evolutions in organizational and technological development require categorization in order to be understood holistically and consequently, to be exploited fully. This paper evaluates the adoption of Web 2.0 technologies in Malaysian E-commerce. The paper also examines Malaysian E-Commerce engagement on Web 2.0 technology platforms to improve customer shopping experience and customer engagement at their online retail store. Findings on Web 2.0 technologies usage in 10 top e-commerce websites in Malaysia shows that most of the e-commerce websites have substantially integrated Web 2.0 technologies in their online retail store to gain and improve their competitive advantage. Furthermore, increased frequency of engagement in social mediums such as Facebook increases impact in terms of effect on customer shopping experience and customer engagement at online retail stores. In summary, Web 2.0 technologies influence changes in customer purchase behavior, shopping experience and ultimately, the dramatic change in top 10 ranking in the Malaysian e-commerce landscape.
Keywords: Competitive Advantage, E-Commerce, Online Shopping, Web 2.0 Technologies, Malaysia
A Semantic Sense-and-Respond Approach to Managing IT-enabled Buyer-Supplier Relationships: An Action Research Study
by Mala Kaul, Jing Betty Feng, Lars Mathiassen
Abstract: As a reflection of the strategic importance of buyer-supplier relationships in supply chains, information sharing and knowledge exchange have been found to positively impact coordination, transparency, and perception of trust between buyers and sellers. However, our knowledge about IT as an enabler in buyer-seller relationships is limited. Against this backdrop, we examine how a large retailer, BuildSmart, adapted and leveraged a portal to help listen to the voice of their suppliers. Through a collaborative action research project, we developed a semantic sense-and respond approach to design and implement mechanisms that allowed BuildSmart to continuously sense how suppliers experienced their portal and how to generally improve their supplier relationships. As a result, we present a conceptual model for managing IT-enabled buyer-supplier relationships and demonstrate how conceptual modeling can be combined with sense-and-respond thinking to support IT-enabled process management.
Keywords: Buyer-Supplier Relationships; Supplier Portal; Sense-and-respond; Conceptual Modeling; Collaborative Action Research
A New Architecture Of Cloud Computing To Enhance The Load Balancing
by Ashraf Aljammal
Abstract: One of the emerging trends in IT environment is the cloud computing with various requirements and huge resources. Therefore, efficient load balancing guarantees an efficient resource utilization to cope with the increasing users demands. Consequently, this paper proposes a new architecture in cloud environment for load balancing. The proposed architecture taking advantage of the clients machines resources for distributing the cloud tasks among the clients machines rather than relying only on datacenters. The proposed architecture has been implemented using the cloudAnalyst simulator. The simulation results show an efficient load balancing through minimizing the computational load on the cloud servers and hence, improve the overall cloud performance compared to the traditional architectures.
Keywords: Cloud computing; load balancing; new load balancing architecture
Analysis of Big Data Vendors for SMEs
by Pedro Neves, Jorge Bernardino
Abstract: Big Data is a cutting-edge research topic among both academic and business areas that aims to provide ways to store and process massive volumes of data. The paradigm became an ever-increasing business as some companies focus on providing Big Data platforms and analytical tools to extract information from available data. Such features are in accordance with the interests of Small and Medium Enterprises (SMEs), since it allows them to implement sophisticated decision support systems in order to gain competitive advantage over their opponents. Hiring a service from a Big Data vendor allows SMEs to avoid the initial investment and focus mainly on their business needs. However, choosing a vendor is not an easy task and the lack of understanding over Big Data technology is very high, especially among SMEs. Therefore, this paper provides insights over Big Data, discusses the functionalities of 9 major Big Data vendors - Amazon AWS, Cloudera, Hortonworks, IBM, Intel, MapR, Microsoft, Pivotal and Teradata - and presents the best solutions regarding current offering, strategy and market presence of each of the vendors.
Keywords: Big Data for SMEs, Big Data vendors, Big Data platforms.
Collaborative Education in a Virtual Learning Environment
by Hani Bani-Salameh
Abstract: For the last few decades, there was tremendous interest in harnessing 3D virtual environments for education and training. Multi-user game-like environments make use of non-player characters and quest activities in tutoring and training. This approach incorporates successful active learning and incremental progress. This article presents issues encountered while adapting the multi-user online game genre for educational virtual environments. In this endeavour, non-player characters play a central role in organizing and delivering educational content. Educational virtual environments call for additional kinds of extension beyond generic user content creation as delivered in some virtual worlds like SecondLife.
Support for these environments will emphasize the creation of new activities. A set of libraries and techniques named Portable Non-player character tutors and Quests reduces the effort needed to develop and integrate educational non-player characters. These non-player characters are introduced in CVE, a platform for rapidly developing educational virtual environments. The Portable Non-player character tutors and Quests framework enables formatted web-based exercises, quizzes, and educational content to be incorporated into virtual worlds, reducing the effort needed to create new content. The framework presented in this article introduces initial non-player characters that supports educational quest activities to the 3D environments users.
Keywords: Virtual World; Collaborative Virtual Environment (CVE); NPCs;rnEducational Quests; MMO.
IDENTIFICATION OF CRITICAL BARRIERS IN CLOUD COMPUTING ADOPTION BY ENTERPRISES USING SYSTEMATIC REVIEW METHODOLOGY
by Abdulrahman Altalhi, Saleh Alshomrani, Shahzad Qamar, Shehram Akram
Abstract: Cloud computing has been an area of intense interest recently because of its unrivaled advantages to the computing world however businesses are still skeptical of using it because of the different issues that come with it. While there are many factors that can be stumbling blocks for enterprises to use cloud computing, we targeted the factors that hinder the businesses to use the cloud. We conducted a systematic literature review (SLR) in order to come up with a comprehensive answer to our research question. During the process of conducing our SLR we targeted five major and reputable databases to dig for relevant literature. The studies selection and data extraction process was based on a well-documented protocol. Our results extracted were specifically in relevance to our research question. The results (factors/barriers) went through different data visualization techniques to identify different metrics and patterns such as the most/least influential barriers, research diversity, publication pattern, research by year etc. Our results extracted clearly identified the areas and domains, which requires further attention, and the areas that have been well researched. The SLR, we conducted, will help researchers identify gaps in current research for future research on issues that discourage and stop enterprises from using the cloud.
Keywords: Cloud Computing, SLR, Enterprises
Social Commerce Adoption Research from the Consumer Context: A Literature Review
by Salma S. Abed, Yogesh K. Dwivedi, Mike Williams
Abstract: This study examined the adoption of social commerce from the consumer perspective of information technology innovations. An overview of the concept of innovation adoption and social media definitions and functions are presented as well as the concepts of social commerce; these are identified to offer some background. Furthermore, previous researches investigating social commerce are highlighted and the empirical research investigating social commerce adoption utilising IS theories are described in detail. Finally, the discussion, research gaps and future lines of research are highlighted.
Keywords: E-commerce; Social Media; Social Commerce; Consumer
The Determinants of Internet Financial Reporting (IFR) in Jordan: Financial versus Corporate Governance
by Mohammed Yassin
Abstract: The Internet has become widely used as a channel to disseminate financial information by Jordanian listed companies in response to the cross-listing agreement among the Amman Stock Exchange (ASE), Abu Dhabi Securities Exchange (ADX) and Dubai Financial Market (DFM). This study aimed to investigate the determinants of Internet financial reporting (IFR). The results should help policy makers and regulators in building a framework for mandating IFR. An IFR index was developed to measure the level of each firms information content and format disclosures. IFR determinants were divided into financial characteristics and corporate governance mechanisms. The analysis determined that firms that are larger, profitable, and more leveraged, with a separation between chairperson and CEO positions, with larger board size numbers, and with fewer independent non-executive directors are more likely to engage in IFR. By extending the analysis using OLS and 2SLS regression, the findings suggest that IFR was predicted using size, liquidity, leverage, market-to-book ratio, chairperson/CEO separation, independent non-executive directors, board size, and shareholder number. Corporate governance mechanisms can predict IFR and its components, content and format more accurately than firms financial characteristics.
Keywords: Internet Financial Reporting; Voluntary Disclosure; Corporate Governance; Jordan
Adoption of Self Service Banking Channels The Case of Mobile Banking in India
by Kalaiarasi H., Lakshmi P.
Abstract: Mobile banking is an innovative, technology based, cost efficient, expedient and time saving, self-service channel for banking customers as compared to conventional branch banking. Though India has a strong potential for mobile banking usage, it is observed that only 5% of mobile subscribers are registered users of mobile banking,which is very low as compared to other developed countries. This study explores the aspects that affect an individuals intention to adopt mobile banking services in India. Perceived risk is a critical factor that can influence adopting or continuing with any new technology. Hence a modified model of Brown et al., (2003) that merges risk rnperception with the features proposed by decomposed theory of planned behaviour, Diffusion of Innovation theory is developed and tested in the Indian context. The results reveal that adoption of mobile banking by Indian customers is affected by lack of security and privacy, whereas innovation features such as relative advantage, compatibility, trialability, self-efficacy and technology support positively influence mobile banking adoption. rn
Keywords: Innovation; Financial service; E-banking; mobile banking; India
An Influence of Human Emotion Expressed through Social Networks in Viral Marketing
by Anthoniraj Amalanathan, S Margret Anouncia
Abstract: Social networking is a multidimensional content and knowledge-sharing on-line communication media. Presently, the social network influences users' activities, such as identity creation, sharing, conversation, relationship establishment, presence indication, group participation, and reputation. In a way, these activities do reflect an individual's behaviour. As social networks allow any on-line content to be shared, it is possible to utilize this channel to employ in marketing effectively. As of now, the major challenge of social marketing is selecting and understanding the target audience to develop campaigning strategies. One way to understand users is to know the emotions they express when communicate content through social networking. This paper attempts to study the nine basic human emotions and their significance in various social network activities to determine the right strategies of marketing. A suitable marketing strategy and tools to attract users can be developed in e-Business with the help of extracted information.
Keywords: Social Network; Emotions; User Behaviour; Personalization; Viral Marketing.
Similarity upper approximation based clustering for recommendation system
by Rajhans Mishra, Pradeep Kumar
Abstract: Web has evolved enormously in the past few years resulting in a rapid increase in the number of web users and web pages. Web personalization has become a challenging task for e-commerce based companies due to information overload on the web and increase in the number of web users. Recommendation systems generate recommendations to users for various products as per their requirements. Recommendation systems have been widely used in e-commerce websites and have become an integral part of the e-commerce business process. Developers try to customize web sites to suit the needs of specific users utilizing the knowledge acquired from users navigational behavior.
The current study focuses on development of a framework for a web recommendation system on the basis of sequential information present in web logs. Rough set based clustering using similarity upper approximation has been utilized to generate soft clusters to capture the multiple interests of users. The proposed recommendation system can predict the next possible page visit of the user based on the sequential information present in their navigation pattern.
Keywords: Web recommendation system, Rough Sets; Clustering; Web data
The customers perception of Mobile Banking adoption in Chennai city. An empirical assessment of an Extended Technology Acceptance Model
by Kumar G, Shenbagaraman V
Abstract: To improve bank performance and customer satisfaction strong technology based services are important for banks. The mobile phones especially the smart phones are becoming most important channel for banking due to easy accessibility. The expanded use of smart phones has increased demand for mobile banking services and is like to have significant effects on banking experience. The purpose of this paper is to investigate the factors influencing the adoption of mobile banking services in Chennai.The secondary data were used for providing the theoretical background of the research problem. The secondary data includes journal articles , reference books and web contents. The primary data collected by the researcher through the questionnaire. The survey was conducted in Chennai city. The research model includes six constructs Perceived Ease of Use, Perceived Usefulness, Relative Advantage, Quality of System, Personal Innovativeness, Self Efficiency each of which measured with the item Intension to use mobile banking. The construct were taken from the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT) ,Theory of Planned Behaviour(TPB),Extended Technology Acceptance model. Data analysis result that the constructs Perceived Ease of Use, Perceived Usefulness, Relative Advantage, Quality of System, Personal Innovativeness, and Self Efficiency have a direct influence on the adoption of mobile banking in Chennai. Further examination of the inferential analysis highlighted that level of education and income level of respondents may be a major determinant in influencing the adoption of mobile banking. The limitations of this study are the sample was composed of mobile banking users only and non users are not considered for study. This research provides banking institutions with significant information on the various aspects that need to be highlighted in their mobile banking strategies to increase the adoption rate of mobile banking services
Keywords: Mobile Banking Adoption, Intention, Technology Acceptance Model, Perceived Ease of Use, Perceived Usefulness, Relative Advantage, Quality of System, Personal Innovativeness, Self Efficiency
A Theoretical Discussion of Factors Affecting the Acceptance of M-commerce among SMTEs by Integrating TTF with TAM
by Saleh Alqatan, Noor Maizura Mohamad Noor, Mustafa Man, Rosmayati Mohemad
Abstract: Tourism is an information-based industry and innovative mobile applications are believed to provide new business opportunities for the industry. Most tourism firms throughout the globe consist of Small and Medium-sized Enterprises (SMEs) and as such, SMEs utilization of information systems (IS) is crucial in terms of added efficiency, effectiveness and innovation. However, the acceptance of M-commerce in SMEs remains very low, while the factors impacting the application of IS are still ambiguous. The objective of the current study was to integrate TTF with TAM to investigate the determinants of user acceptance of M-commerce among SMTEs. The study provides advanced knowledge of customers 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. This in turn would play an important role in increasing the acceptance level of M-commerce among SMTEs.
Keywords: M-commerce; SMTEs; TAM model; TTF model
A Framework introducing implications of RFID network threats to Businesses
by Sami Miniaoui, Suadad Muammar
Abstract: The radio frequency identification (RFID) technology is increasingly used in several industries for various business tasks (item tracking, inventory, etc.). Many types of security threats to RFID networks have been identified, but the impact of these threats on businesses remains unclear. This research aims at proposing a framework detailing the implications of RFID security threats to businesses. We followed an interpretive study to draw up the proposed framework. Based on a literature review, we established a classification of RFID usages (inventory management, payment systems, identity control, and tracking systems). A number of RFID network security threats (denial of service, spoofing, relay, etc.) were identified and explained. Consequently, a framework linking RFID threats to different types of usages in applications is proposed and explained. This framework exposes clearly the implication of every RFID threat on a specific usage of RFID regardless of the industry (healthcare, education, etc.).
Keywords: RFID; RFID networks; RFID threats; business implications; RFID usage; RFID framework; security threats; privacy; data security; corporate data
Predicting the likelihood of dividend payment from Indonesian public companies with Data Mining Methods
by Raymond Kosala
Abstract: Making decisions about dividend payment is one of the most important choices for public companies. In finance literature, deciding to pay dividends is a controversial subject. Thus there are several theories on the reason why companies choose to pay dividends. This paper investigates the likelihood of dividend payment from public companies in Indonesia using some artificial intelligence and statistical techniques. In the process, the possibility of using dividend related data from public companies as a dataset for predictive techniques is analyzed. Then domain expert knowledge is used from finance literature to determine the predictor variables. Next predictive models are developed for the likelihood of using dividend payments by applying four different methods: logistic regression, artificial neural networks, decision tree induction, and support vector machines. Afterwards, the predictive accuracy performance of the models generated by these methods is examined. Finally, the resulting decision tree model is analyzed and the validity of the resulting predictive model is confirmed with a domain expert. Then the resulting model is converted to create simple and understandable if-then rules, which can be used by company management to make decisions on dividend payments in practice. These if-then rules support the lifecycle theory of dividends as exhibited in previous works.
Keywords: Dividend Policy; Dividend Policy Forecasting; Decision Support Systems; Logistic Regression; Artificial Neural Networks; Decision Trees Induction; Support Vector Machines.
Factors Identification of Online Reputation and Relationship with Trust: A study of Generation Y
by Rashik Gupta, Karteek Ponnuru, Anil Kumar, Shrawan Trivedi
Abstract: Trust is a major factor for business let it be online or offline without trust a business transaction is impossible. Trust and Reputation together act as a key differentiator in determining the success or failure of any firm. But there has been comparatively little research examining the relationship between trust of Generation Y and online reputation. To fill this void in the existing literature, the objectives of this study are twofold: first is to identify the factors structure of online reputation and second is to find the relationship between identified factors with customers trust related to online purchasing. Data has been collected from Generation Y through a structured questionnaire. Exploratory factor analysis is used to find the factors structure of online reputation and multiple regression analysis is utilized to find the relationship with the trust of customers. The study has findings in terms of what Generation Y needs and looks for in an e-commerce site before purchasing and this find can help the service provider to target Generation Y in the digital platform.
Keywords: Online Trust, Online Reputation, Generation Y, Exploratory factor analysis, multiple regression analysis, e-commerce
INFORMATION SYSTEM CONTINUANCE USAGE: MODERATING ROLE OF HABIT
by Thomas John Paul, Jayanth Jacob
Abstract: This study helps in the understanding of Indian customers evaluation of loyalty and its antecedents. Extending the Information System (IS) continuous usage theory, an empirical study has been carried out on the determinants affecting loyalty of the Indian customers using self-service technology (web-store) for online shopping. In this study, habit is proposed of having a negative moderating outcome effect and a positive moderating outcome effect on trust and loyalty and on satisfaction and loyalty respectively. This study also investigates the threshold characteristic of satisfaction and trust with the introduction of habit. Data collected from 245 customers strongly substantiates the research model. The empirical results demonstrate that trust, satisfaction and habit have positive impact on loyalty. The study also finds that a customers past habitual experiences reduce the effects of trust on loyalty and satisfaction on loyalty. The details of the study, analysis and results are described in this paper.
Keywords: Loyalty, Habit, Satisfaction, Trust, Information system continuance, Self-service Technology
Antecedents of Intention-to-Use of E-Audit System: A Case of the Audit Board of the Republic of Indonesia
by Dyah Dharma, Puspa Sandhyaduhita, Ave Pinem, Achmad Hidayanto
Abstract: E-Audit is a form ofe-government that is utilized by the Audit Board of the Republic of Indonesia (BPK-RI) to assist the state's financial auditors. However, when conducting audit not all auditors use the e-Audit. This study was conducted to determine factors that affect auditors in using e-Audit by combining theoretical models from the Technology Acceptance Model (TAM), the Innovation Diffusion Theory (IDT), the DeLone & McLean Information Systems Success Model, with individual dimensions on the Technology Readiness Index (TRI) and variable of management support. From the questionnaires that were distributed and collected from BPK RI's ministries and agencies auditors, we obtained 185 samples.The data were then analyzed using Partial Least Squares on Structural Equation Modeling (PLS-SEM). The results showed that quality system of e-Audit, compatibility e-Audit with the audit process, perceived usefulness and perceived ease of use, have positive influence either directly or indirectly on the auditor's intention to use e-Audit. While the auditors discomfort feeling of new technologies will have negative effect indirectly on the auditors intention to use e-Audit.
Keywords: E-Audit; intention-to-use; TAM; IDT; TRI; PLS-SEM; Indonesia
PROMOTING SOFTWARE INDUSTRY IN ECUADOR: STRATEGIC THINKING
by Hotniar Siringoringo, José Silva, Jaime Albuja, Andrés Navas, Ramiro Valencia
Abstract: The objective of the research was to identify significant variables in promoting Ecuadorian software industry. Questionnaire was deployed to collect data. Questionnaire in closed loop form consists of questions related to the need of government intervention in order to promote software industry. Questionnaire was distributed to software industry management through Survey Monkey website. A number of 60 responses to the survey during 2 months and 38 responses were valid to proceed to data analyses. Data analyses were performed using descriptive statistic and Chi-square for hypotheses test. Result showed that government intervention on investment (2 indicators), tax reduction, cost of promotion, skilled labour (4 indicators), and export bureaucracy significantly will promote the software industry.
Keywords: Ecuador, foreign direct investment, government intervention, promotion, software industry
Enhance the Retrieval Performance in Content Based Image Retrieval Using Meta-heuristic Approach
by Umamaheswaran Subashchandrabose, Suresh Kumar N., Ganesh K, Sivakumar P
Abstract: Multimedia and digital image database management have undergone major transformation significantly in recent years in domains like Data Mining, Medical Imaging, Weather forecasting and Remote sensing etc. CBIR is an important tool, useful to retrieve the required image precisely and effectively from large databases. This paper proposes the use of low level visual content features viz, Mean value and color histogram, to retrieve the color feature and Gray level Co-occurrence Matrix is proposed for retrieval of the texture feature. IGA is integrated with the above said low level features to derive refined results for query image matching from the database and to differentiate retrieval performance among the image features. The proposed method yields an accurate and faster retrieval from a Corel Image Database.
Keywords: Interactive Genetic Algorithm(IGA), Content -Based Image Retrieval(CBIR), Gray level Co-Occurrence Matrix(GLCM), Color histogram, Mean.rnrn
Extracting customer opinions associated with an aspect by using a heuristic based sentence segmentation approach
by Naime Fulya Kayaalp, Gary Weckman, William Young, David Millie, Can Celikbilek
Abstract: Extracting opinions from textual customer reviews is one of the most challenging but crucial tasks which has a significant effect on decision support systems. The task becomes trickier when customers mention different aspects of an entity and different opinions associated with those aspects within the same review text. In literature, there are segmentation-based approaches, which try to parse the reviews based on the features/aspects they mention and assign opinions to those segments. It is observed that the existing models can perform better with an improved underlying segmentation model. This research aims to propose an improved segmentation model, named IMAS, to fill the gap in an existing multi-aspect segmentation model (MAS). Two aspect-opinion extraction systems were developed with two different segmentation models, and they are compared based upon their overall accuracy. As a result of the comparisons, an 8% accuracy improvement is observed by using the proposed segmentation model over the legacy one.rnrn
Keywords: Review mining; aspect-opinion matching; text segmentation; decision support systems
Social Commerce Adoption among Jordanian Youth: Empirical Study
by Radwan Al-Dwairi
Abstract: Social commerce is a subset of e-commerce which utilizes social networking tools. Customers' adoption of this new technology is not addressed by researchers in Jordan and consequently not yet completely understood. To our knowledge, this research is the first one that studied Jordanians intention to adopt social commerce. This study proposed a conceptual model based on the Technology Acceptance Model (TAM) and empirically tested using a survey of 299 Jordanian respondents. Findings of the study showed that perceived ease of use, perceived usefulness, information quality, social support, and trust significantly impacted Jordanian's intention to adopt s-commerce. Results of this study showed that the five constructs of the model explained (33.6%) of the variance of respondents intention. In addition, the F-test of the model's variables was highly significant which means that there is a linear relationship between those variables. Thus, results of this study demonstrate the applicability of our model in testing this phenomenon.
Keywords: social commerce, social media, customer behaviour, intention, TAM, social platforms, social support, trust.
Possible Factors Affecting Internet Addiction: A Case Study of Higher Education Students of Qatar
by Habib Ullah Khan, Mahmood Awan
Abstract: The sea change brought by the internet and technology to human life came along with all possible hazards, if not adopted in the correct manner. Across the world, the highest impact is on the younger generation. In this regard the current study attempted an effort to capture the opinion of the students about the cause and effect of the factors in internet usage and specifically to internet addiction. Data is collected from 357 students of Qatar using questionnaire. The tool is a modified version of the internet addiction test (IAT) that is developed by Widyanto et al. (2011), by adding another construct called culture. The collected data is validated and analyzed using binary logistic regression and principal component analysis. Though the construct culture is introduced in the model, no significant contribution and impact is found on the internet usage and addiction... However, the constructs introduced are found to have association with internet addiction. But in logistic regression analysis, the education level and time management have actual impact on the internet addiction. But unlike the above results, the principal component analysis showed that demographic variables like age, gender, income level and others are able to explain much variation in internet usage. The differences in these results could be because of the limitations of the study, bias in the data collected. The future research studies can look into the impact of the constructs by overcoming these drawbacks to understand the actual impact of culture on the internet usage and interned addiction.
Keywords: Internet Addiction Test (IAT); Internet Addiction; Internet Gaming Disorder (IGD); Emotional/Psychological Conflict; Time management; Mood Management; Culture
A preliminary study of user acceptance and adoption of data visualisation tools for decision support in business organizations
by Mohammad Daradkeh
Abstract: Despite the widespread availability of data visualisation tools for decision support, the key factors that affect their acceptance and adoption are not well explored. This paper presents a preliminary study of behavioural intention and actual usage of data visualisation tools for decision support in business organizations. The study adopted a revised Technology Acceptance model (TAM) and a self-administered questionnaire approach to gather data from employees working in different business sectors in Jordan. The gathered data from the questionnaires were tested for reliability and then analysed using correlation and multiple linear regression analysis. Findings of this preliminary study demonstrated significant positive relationships between the perceived usefulness, perceived ease of use, and employees behavioural intention and actual usage of data visualisation tools for decision support. However, when analysed alone, employees behavioural intention is more influenced by the perceived usefulness (β=0.755, p<.05) than the perceived ease of use (β=0.238, p<.05). Conversely, the actual usage is more influenced by the ease of use (β=0.672, p<.05) than the perceived usefulness (β=0.281, p<.05). The results also demonstrated that 67.5% of the variance in the actual usage can be explained by the perceived ease of use, perceived usefulness, and behavioural intention to use data visualisation for decision support. Findings of this preliminary study confirm the original TAM findings and suggest that the considerable body of TAM-related research provides a useful foundation for further research on the factors that affect user acceptance and adoption of data visualisation tools for decision support.
Keywords: data visualisation, decision support, technology acceptance model (TAM), evaluation, adoption, business organizations
After-Sales Service Quality Satisfaction in Indian Automobile Industry
by Santosh Kumar Yadav, Dennis Joseph
Abstract: In automobile industry, after-sales service plays an important role whether it is before buying a product or after buying the product. One of the necessary evaluation criteria for customer satisfaction is availability of after-sales service. In todays situation, after-sales service quality can be measured by administering a customer satisfaction survey. This paper focuses on after- sale service quality and customer satisfaction. In this paper SERVQUAL model was applied for measuring quality of service given to the customers and customer satisfaction in an automobile industry. Structural equation modeling (SEM) with partial least squares (PLS) was used to simultaneously evaluate both the measurement and structural models. The analysis of customer satisfaction through after-sales service quality gave the result in which Tangibility, Reliability, Assurance, Responsiveness and Empathy were seen to have a significant positive effect on Customer Satisfaction. In light of the SERVQUAL model, this paper discusses practical implications and focuses on recommendations on how to manage and improve service quality in after-sales service in the Indian automobile industry. This study presents a model for improving customer satisfaction in terms of service quality dimensions.
Keywords: Service quality, Customer Satisfaction, After-sales service, Automobile
Data Analytics: Feature Extraction for Application with Small Sample in Classification Algorithms
by Kamatchi Priya Loganathan, M.k. Kavitha Devi, Nagarajan S
Abstract: This paper focuses on improving the classification accuracy for supervised learning in areas of application with very few training data and with extremely available high dimensionality. This paper proposes a framework which acts a decision support system incorporating both feature selection and feature extraction to improvise the classification accuracy. The feature selection technique comprises redundancy elimination and relevance analysis. Feature subset selection problems eliminate features which are redundant by using correlation based Maximum spanning tree. But the eliminated features may contain useful information which may contribute in determining the target or class labels. The principal components are extracted from the eliminated features and they are complemented with the selected features to perform classification. The superiority of the proposed method over other feature selection methods, in terms of computational complexity and classification accuracy, is established extensively on various data sets.
Keywords: Classification, Feature Selection, Feature Extraction, Redundancy Elimination, Relevance Analysis, Maximum Spanning Tree, Supervised Learning.
A conceptual framework of e-loyalty in social-based e-commerce
by Bushra Alhijawi, Hourya Douglass
Abstract: The social-based e-commerce as we named is a type of e-commerce, appears
as a result of widespread of social networking like Facebook, Instagram, YouTube, and Twitter. The retailer in social-based e-commerce depends on the personal profile, pages, or groups on the social networks to presents their products. In this study, we investigate the factors that affect the customer satisfaction and e-loyalty. Four factors are proposed (i.e. usefulness, usability, customer services, and customization) that may have impact on customer satisfaction and may derive the e-loyalty in social-based e-commerce. Online survey was distributed and 95 complete and valid questionnaires were returned. All the four factors have a positive impact on customer satisfaction. In addition, the customer satisfaction has a positive impact on e-loyalty in social-based e-commerce. The findings suggest that to determine e-satisfaction in SEC, the merchants need to focus on providing a hand-made, tailor-made, variant colors and sizes products, special attention by the salespersons and deliverymen to the customers. This will reflect on the loyalty of the customers.
Keywords: e-loyalty; e-satisfaction; social-based e-commerce; e-business; social
User Acceptance of Business Intelligence (BI) Application: Motivation to Learn, Technology, Social Influence, and Situational Constraints
by Tom Yoon, Bong-Keun Jeong, Biswadip Ghosh
Abstract: Business intelligence (BI) applications have gained significant attention as a viable option to address the challenges of dynamic business processes and real-time decision making scenarios. However, a majority of BI application implementation projects inside organizations are unsuccessful. One of the main reasons for the failure is end user resistance to adopt BI applications that their organization chose. Therefore, it is important to understand how to facilitate individual adoption of BI application. Yet, little academic research has been done on individual adoption of BI application.
Based on a survey collected among ERP (Enterprise Resource Planning) system users in large to medium sized organizations, this study finds individuals' intention to adopt a BI application is positively influenced by their motivation to learn the software application. In addition, the results show that the motivation to learn a BI application is influenced by the relative advantage of the application and situational constraints, such as requisite skills/resources and organizational learning climate. These findings make an important contribution to the technology adoption literature and provide some practical implications that can help organizations to promote the adoption rate.
Keywords: Business Intelligence (BI), Technology Adoption, Motivation to Learn, Social Influence, Situational Constraintrnrn
Neuro-Fuzzy Approach in Business Applications: A decade survey
by Sharifa Rajab, Vinod Sharma
Abstract: This paper presents a survey of the application based research on Neuro-fuzzy systems (NFS) in business on account of the research articles published in various reputed international journals and conferences during the last decade (2005-2014). The application of the NFS in different business domains has diversified enormously during this period and NFS has emerged as a dominant technique for addressing various research problems in various business domains. On the basis of an in-depth review of these research articles we have identified finance, marketing, distribution, business planning, information systems, production and operations as the main business application domains of NFS during this period. The impact of NFS in different business domains and the trends in this application based research are presented and discussed in this paper. For each of these years, this paper also explores the various innovations in NFS methodologies employed by the researchers to tackle different business problems. Further the paper also includes some articles published during year 2015 in various international journals to present the recent developments in the research based on the application of NFS in various business domains.
Keywords: Business forecasting, Artificial Intelligence, Neuro-fuzzy Systems, neural networks, Human resource management, finance, fuzzy logic, information systems, business planning
The relationships between definitions of Big Data, Business Intelligence and Business Analytics: A literature review.
by Kenneth Mashingaidze, Judy Backhouse
Abstract: Advances in technology and increasing data volumes have led to new tools and techniques to exploit data and improve decision making. Terms used to refer to these tools and techniques include big data (BD), business intelligence (BI) and business analytics (BA). Definitions of these terms are not agreed on. In particular the terms are used as subsets or special cases of each other and this leads to confusion about their meaning and how they relate. This paper examines both academic and practitioner literature that deals with two or more of the terms to synthesise definitions and describe the relationships between them. BD is data with high volume, variety of sources and high velocity. BI is a set of tools and techniques to use data for decision making. BA is an advanced form of BI. BD is data that can be used in both BI and BA.
Keywords: big data; business intelligence; business analytics; definition; relationship; literature review; information technology; data analysis
Performance optimisation of the decision-support queries by the horizontal fragmentation of the data warehouse
by Mohamed Kechar, Safia Nait-Bahloul
Abstract: The horizontal fragmentation of the data warehouse is considered as one of the important performance optimisation techniques of the decision-support queries. This optimisation is reached only if the large data volume of the fact table is horizontally fragmented. For that, the fragments of the fact table are always derived from the fragments of the dimension tables. Unfortunately, in this type of fragmentation, the fragments number can dramatically increase, and their maintenance becomes quite hard and costly. Thus, to reduce the number of the fragments and to further optimise the decision-support queries performances, we propose to fragment horizontally only the fact table by exploiting jointly: the selectivities of the selection predicates, their occurrence numbers, and their access frequencies. To prove the effectiveness of our fragmentation technique, we present at the end, a set of experimental results conducted under Oracle 10g on the APB-1 benchmark.
Keywords: Decision support system; Data warehouse; Query performance optimisation; Horizontal fragmentation; Selection predicates; Fragmentation predicates
Citizen centric assessment framework for e-Governance services quality
by Vinay Singh, Garima Singh
Abstract: Citizen-centric e-governance services are essential to enhance the quality of life of citizens while ensuring citizen empowerment. The present study proposes a framework of assessing quality of e-governance services from citizens perspective to find out the degree of its quality impacting citizen satisfaction. The framework is validated through primary data collected from 213 respondents. Confirmatory factor analysis and structured equation modelling are employed to validate the model. The results depict quality of e-governance service and the information being disseminated to the citizens impact on their satisfaction significantly. The study contributes a parsimonious model that can significantly contribute in future theoretical advances in e-governance quality assessment. The findings can bridge the gap between government initiatives and citizens' needs. Thus designing high quality e-governance services while keeping the needs and expectations of citizen in focus translates its functional efficacy.
Keywords: citizen centric e-governance, e-governance services, citizen satisfaction, quality assessment, information quality, service quality, Governance Quality
Developing SOA Enabled Service Agility Capabilities: Case Studies in Services Industry
by Aparna Raman, Sangeeta Shah Bharadwaj, Jaydeep Mukherjee
Abstract: The research paper explores, how information technology, specifically Service Oriented Architecture (SOA) - enabled service agility capabilities were developed. The paper defines the service agility capabilities (sensing and responding) using dynamic capabilities theory and service dominant logic. In this research we present two case studies, based on the services sector. This paper explains, how these capabilities were developed by responding organizations. Based on the research results, the propositions were proposed. Further, the model was supported through thematic analysis. The study contributes towards the knowledge base of agility and reveals how SOA-enabled capabilities are developed to achieve agile services.
Keywords: Service Agility Capabilities ; Service-Oriented Architecture, Case Study
Code Refactoring Using Slice-Based Cohesion Metrics and Aspect-Oriented Programming
by Jagannath Singh, P. M. Khilar, D. P. Mohapatra
Abstract: Software restructuring is essential for maintaining software quality. It is a usual practice that we first design the software and then go for coding. After coding, if there is any change in the requirement or if the output is incorrect, then we have to modify the code again. For each small code modification, it is not feasible to alter the design. These minor changes made to the code causes decay in the software design. Software refactoring is used to restructure the code to improve the design and quality of the software. In this paper, we propose an approach for performing code refactoring. We use slice-based cohesion metrics to identify the target methods that require refactoring. After identifying the target methods, we use program slicing to divide the target method into two parts. Finally, we use the concept of Aspects to alter the code structure in a manner that does not change the external behavior of the original module.
Keywords: Software Refactoring; Program Slicing; AOP; Cohesion Metrics; CodernRestructure; AspectJ.
Content management application website system for our lady of peace center
by Mahmoud Migdadi, Qtaish Areen, Al – Manaseer Ahmad, Qalanzi Lara
People with disabilities have been facing multiple difficulties other than their own health difficulties, environmental and social difficulties have proven to be more difficult on them than any other physical and mental disabilities they face on a day-to-day basis. Charities that provide help and care to people with disabilities are available worldwide; however, in addition to the challenging nature of their work, they are also faced with the difficulties of being a category of charities that is constantly overlooked. They are constantly suffering from the lack of social and financial support especially in countries that suffer from the lack of integration of disabled people within the society, such as Jordan. The high cost of developing websites and maintaining them poses as one of the greatest challenges that is faced by charities for disabled people which is prohibiting them from being able to have an online presence in an era in which the lack of such a presence can be considered damaging. Therefore, developing a content management website for Our Lady of Peace Centre (a disabled children charity) was chosen as an opportunity to increase awareness and engagement of disabled people. The most significant contribution that this website provides is a dynamic page that informs parents and caregivers of disabled children of the appropriate toys and activities for different disabilities at different levels in both Arabic and English language which, to the best knowledge of the researchers, does not exist in the middle east.
Keywords: People with disabilities, Our Lady of Peace Centre, Charity, Content Management Website, Jordan
Selection and Classification of Common Factors Affecting the Maintainability on the basis of Common Criteria
by Shivani Kundu, Kirti Tyagi
Abstract: Maintainability is considered as one of the fundamental quality aspect that promotes efficient software systems development. By using soft computing techniques maintainability can be easily estimated and provide effective result. This paper describes the some key factors that influence the maintainability of software as presented by different researchers. In the software maintainability estimation these factors play a fundamental role. Proper study and inclusion of these factors may make the maintainability estimation clearer and easier. The maintainability models may be used to find enhanced quality of the software so that maintenance can be performed effectively and efficiently.
Keywords: Maintainability; Software Quality; Maintainability Factors.
A TRIANGULAR PERCEPTION OF SCOPE CREEP INFLUENCING THE PROJECT SUCCESS
by Lakshmi Madhuri, Suma V, Uma Mohan Mokashi
Abstract: Project management strategies are a part of every organization as developing high quality customer satisfied software is always one of the challenges for any software organization. Though, the scope creep is known to be one of the factors which influences project success, existing project management strategies do not effectively measure or predict the scope creep. This paper focuses on effective scope creep management which is achievable through a comprehensive analysis of the scope creep and its impact on project success. The paper further presents a case study conducted in one of the leading software companies to investigate the significance and impact of scope creep in the project success. An investigation was carried out on several empirical projects and a three dimensional visualization of scope creep on success of project was brought out. This trio visualization comprises of historical data perspective which leads to visualize the inferences in a pictorial representation perspective. Facts, thus, gained from historical and pictorial data perspectives lead one towards visualization of scope creep and its management using a mathematical modeling perspective. This mode of visualizing the scope creep and its implications on project success ensures one to effectively modulate their strategies in order to develop software products which attain total customer satisfaction.
Keywords: Software Engineering, Software Quality, Software Metrics, Scope Creep Management, Total Customer Satisfaction
An Empirical Examination of Antecedents Determining Students Usage of Clickers in a Digital Marketing Module
by Nripendra P Rana, Yogesh K. Dwivedi
Abstract: As more and more educational institutions are integrating new technology such as clickers into their learning system, it becomes increasingly essential to have an understanding of students perceptions about such technology on their overall learning process. The incorporation of clickers into teaching instructions has created implications for teaching practices and student satisfaction. The purpose of this research is to understand student use and satisfaction with clickers in a large undergraduate digital marketing class in a British university. To do so, we propose a conceptual model based on information systems (IS) success models to understand students usage behavior and satisfaction with clickers. The data were analysed based on 138 valid responses gathered from the students, where clickers are effectively used for teaching and learning purposes. The results provided a strong support for all eight hypothesised relationships and adequate variance on its key dependent variables in the proposed research model.
Keywords: Clickers; Higher Education; IS Success Models; Student; Usage; United Kingdom
Relative Importance of CSF in ERP Implementation Strategy: A Multi-Participant AHP Approach
by Shruti Nagpal, Ashok Kumar, Sunil Kumar Khatri
Abstract: Enterprise Resource Planning Systems (ERP) have found a wide acceptability among organizations, albeit with a pinch of salt. ERP systems appropriately bring about uniformity in the software across the organization by bringing all the processes under one umbrella. But the low adoption rates and greater time to value are often reasons for low ERP implementation success rates and even ERP implementation failures. Researchers have chronicled various Critical Success Factors (CSF) that determine a successful ERP implementation. This paper utilizes multi-participant Analytic Hierarchy Process (AHP) to determine the relative importance of CSF in various ERP implementation strategies. The paper contributes to the existing knowledge of CSF in ERP implementations by showcasing that CSF have varying importance across ERP implementation strategies.
Keywords: Enterprise Resource Planning (ERP); Critical Success Factors (CSF); Analytic Hierarchy Process (AHP)
Emergence of Multipresence A theoretical underpinning
by Somesh Gaur, Bala Krishnamoorthy
Abstract: Anytime anywhere and immersive Information and Communication technologies have penetrated all spheres of our life. Because of these technologies, an individual can be present in multiple environments either real or virtual at a given time or in a time frame. Such technology driven Multipresence has emerged as a prominent behavioral phenomenon today. Multipresence might have significant influence on an individuals behavior as well as on team, organization and society. Despite being such a prevalent and important behavioral phenomenon, there has been limited research and literature in this area. In this conceptual paper, we explore and refine the concept of Multipresence. We start with the exploration of concept of Presence, which forms the basis for understanding Multipresence. We further discuss various aspects of Multipresence from the literature. We also introduce a new revised definition and new concepts about Multipresence. Finally, we discuss possible implications of such behavior on performance of an individual and suggest potential future research opportunities in this area.
Keywords: Presence, Multipresence, Multitasking, Polychronicity, Attention Sharing, Attention Switching, Technology Affordance
ERP Implementation in University: A Case Study in Thailand
by Nacha Chondamrongkul
Abstract: Enterprise Resource Planning (ERP) is considered a proven solution that enhances the organizations structure, which results in better productivity. Nowadays, universities have many reasons to improve efficiency in administrative operations. Therefore, there are number of universities that aim to enhance administrative efficiency by implementing ERP system. However ERP system implementation in the university has a high failure rate because of its unique characteristic. Even though a number of critical success factors have been proposed but there is rare example of how to put them into practice. This paper presents a case study in a Thai university that implements ERP system, which shows how selected critical success factors are taken into practice throughout implementation process. A combination of semi-structured interviews and survey questionnaires are used as research methods to observe and analyze implementation process in the university environment. The study shows software learnability as a significant challenge that causes problems in the post-implementation phase. Also, the study highlights ERP system as the foundation for the development of forthcoming IT system.
Keywords: Enterprise Resource Planning, University, Critical Success Factor
Evaluation of Indian universities websites in terms of information quality: Differences in the perspectives of end users segments based on their socio-demographic characteristics
by Bhim Sain Singla, Himanshu Aggarwal
Abstract: To-day, with the advent of Web technologies, there has been a sea change in the business scenario of not only the commercial organizations but also the higher education institutions. The organizational goals can be achieved more easily and efficiently by reaching out to a vast population through this medium. The educational institutes can provide quick and reliable services to the stakeholders of these websites within the shortest span of time and limited financial resources. However, the benefits to be derived from such websites rest more on their content quality in accordance with the requirements and expectations of the end users. Thus, this study is a modest attempt to evaluate the content quality of Indian universities websites through the perspectives of end users based on their demographic variables such as gender, age, education and status. The study is based on primary data which has been collected through a well-structured and pre-tested questionnaire from the respondents. The findings are extremely significant for the Indian universities as the improved quality of their websites would help them to attract more and more number of students for admission, and in improving their ranking.
Keywords: content categories; customer satisfaction; effective website; end users; importance versus performance; information quality; India; service quality; universities’ websites; website quality.
Data Mules Oriented Particle Swarm Optimization Based Mobile Sink Data Gathering Techniques with Analytical Data Analysis using Linear Regression
by Govindarajan Saravanan, MJS Rangachar
Abstract: Wireless sensor networks with convergecast nature poses great challenge on data collection strategies. In order to cut down the issues on constrained resources of wireless nodes, here a sink based (PSOMSDG) Particle Swarm Optimization Based Mobile Sink Data Gathering had been proposed. This PSOMSDG is a rendezvous based protocol which uses three metrics for data gathering based on the nodes position as; when the nodes are in inertia; when they change to optimistic position (based on current scenario); finally when they change to swarms optimistic position. These three metrics avoid long detour path by providing global optimal length constrained trajectory. In addition, residual energy consumption of protocol was achieved in a balanced manner. The performance is noticed with increasing data rates and compared with Biased Sink Mobility with Adaptive Stop Times (BSMAST). Then data obtained with NS2 simulation which was developed into a linear regression model. Finally the analytical study states that there is a strong relationship between data rate and energy consumption. The Analysis Of Variance (ANOVA) based analysis shows that there is a strong influence between groups.
Keywords: PSOMSDG, Energy consumption, ANOVA, Regression.
Cost Benefit Analysis of Cloud computing in Education
by Kiran Nayar, Vikas Kumar
Abstract: Application of Cloud Computing in Education not only relieve the educational Institutions from the burden of handling the complex IT Infrastructure management as well as maintenance activities, but also lead to huge cost savings. Along with many industry sectors, education sector would be largely benefited by adopting cloud services. Cloud promises to deliver affordable, reliable and flexible computing solutions to education sector and enable it to compete more effectively with bigger organizations. Motive of this paper is to analysis approach that has been followed to identify the benefits and limitations of cloud computing. Specific case of a lab setup has been taken to illustrate the financial aspects. A comparative analysis of Cloud-based hosting versus conventional (on-premise) application deployment has also been presented.
Keywords: Cloud Computing challenges; ICT; TCO; ROI; cost factors; ROI Factors.
Acceptance of E-book Reading among Higher Education Students in Developing Country: The Modified Diffusion Innovation Theory
by Nida shah, Syed Ali Raza
Abstract: This study explores the students intention towards the E-book adoption in Pakistan by using the modified diffusion innovation theory. Student attitude, awareness, perceived innovation characteristics (PIC) are taken as independent variables, actual usage is taken as a dependent variable, whereas intention plays the role of the mediator in the relationship. The data is collected through 5-point Likert questionnaire from the 620 university students. The confirmatory factor analysis (CFA), partial least square structure equation modeling (PLS-SEM) has been applied. The results show that compatibility, complexity, observability, trialability, attitude and awareness has a significant positive effect on behavioral intention, whereas, relative advantage has an insignificant effect on behavioral intention. Moreover, behavioral intention creates a significant positive effect on actual usage. This study will be useful in understanding the factors associated with the adoption of E-book reading. This work will help the managers to understand the role of PIC in adoption of new product or technology.
Keywords: E-Book reading, modified innovation diffusion theory, actual usage, Pakistan
Decision Modeling in Evaluating Information Management Strategy in Manufacturing Industry
by Purnendu Mandal
Abstract: Information technologies are exerting ever increasing influences on corporate growth and profitability. However, very little is understood of the mechanisms through which information technologies impact upon long-term organizational growth. We hypothesized several relationships between information technologies and organizational financial performance. We then analyzed those relationships through a structural equation model (SEM) using data collected for a national survey of US manufacturing companies. The major findings of the research are: an organizations financial performance is dependent on its information management and technology management strategies; knowledge management strategies indirectly influence financial performance. These findings are important in framing long-term strategies for sustainable development.
Keywords: Organizational Performance, Information Management Strategy, Technology Management Strategy, Knowledge Management Strategy, PLS analysis, Mediating effect
Investigating Drivers of User Acceptance of Electronic Treasury: A Case Study
by Behrouz Zarei, Kasra Amanati, Amir Hossein Ghapanchi
Abstract: Using information technology to increase efficiency and transparency in public expenditure management can have a great impact on production, collection, processing and providing reliable reports for policy-makers. Thus, it is very important to identify factors which impact the adoption of this technology. The conceptual model of this study is based on the trust and risk model in electronic government (e-government) adoption. In this study, the constructs of perceived ease of use from Technology Acceptance Model (TAM) and optimism bias have been added to the trust and risk model. Using a descriptive-survey method, a sample of 36 top budget managers has been examined. A questionnaire was used to collect the required data. Structural equation modeling using partial least squares was used to test the model. Based on the results, disposition to trust, trust of the e-treasury system, perceived ease of use and optimism bias explained the adoption of electronic treasury system among top budget managers. Disposition to trust and perceived ease of use also affected trust positively.
Keywords: E-treasury; Trust; Risk; Optimism bias; Ease of use
Developing and Validating a Comprehensive Model of Factors Influencing Consumer Acceptance of SMS Advertising: Empirical Evidence Using SEM-PLS
by Mohammad Al khasawneh, Ahmed Shuhaiber
Abstract: This study examined consumers acceptance of SMS advertising, as one of the mobile marketing instruments that is increasingly popular in accessing consumers through their mobile devices, by empirically investigating the factors that influence consumers attitudes towards and acceptance of SMS advertising. A comprehensive model was developed and tested with a sample size of 321 Jordanian mobile phone users, and analyzed quantitatively using Structural Equation Modeling Partial Least Squares (SEM-PLS) method. The findings indicated that SMS advertising values (entertainment and credibility) and SMS content (clarity and relevancy) as well as subjective norm and consumer control have a positive significant influence on consumer attitude and acceptance of SMS advertising. The results represent novel findings that hold important implications and recommendations for future marketing research and practice.
Keywords: Consumer Acceptance, Mobile Marketing, SMS Advertising, SMS Messages.
The Influence of Technological Factors on Individuals intention Towards Knowledge Sharing Practice.
by Dhanapal Durai Dominic Panneer Selvam, Arif Abdelwhab Ali
Abstract: Abstract: Knowledge sharing has been receiving the highest concern among knowledge management processes. It does attract many studies due to its vital role in the success of organizations. In fact, the practice of knowledge sharing in an organization is influenced by employees intention for sharing knowledge. This paper aims to investigate the influence of two technological factors precisely knowledge sharing systems and web2.0 on the individuals intention for knowledge sharing. Likewise, this paper examines the impact of knowledge sharing intention on the practice of knowledge sharing in organizations, particularly in oil and gas industry. Based on these objectives, a model was proposed, and research hypotheses were developed accordingly. Data were collected from seven international petroleum companies using a survey method. In details, an online questionnaire was used as a survey instrument which yielded a sample size of 157. Measurements were verified through reliability analysis using Cronbachs alpha method. Furthermore, factor analysis was also conducted for the purpose of dimension reduction and detecting any complex structure among the model variables. Further statistical tests were completed including correlation and multicollinearity tests. Structural equation modeling approach was used to evaluate the research model and test the proposed hypotheses as well. The findings indicated that both knowledge sharing systems and web2.0 platform positively influence knowledge sharing intention. Moreover, it was found that the intention to share knowledge has a positive influence on the knowledge sharing practice within organizations. All three proposed hypotheses were significantly supported. Finally, an extension of the study was suggested to be considered in the future.
Keywords: Knowledge sharing; knowledge sharing intention; knowledge sharing practice; knowledge sharing systems; web 2.0 technology;
New Local Sedec Pattern(LScP) Descriptor for improving the retrieval efficiency in Content Based Image Retrieval
by Umamaheswaran Subashchandrabose, Suresh Kumar N., Ganesh K
Abstract: In this paper, a novel Content Based Image Retrieval (CBIR) method is proposed using the Local Sedec Pattern(LScP). The Local Binary Pattern (LBP) and the Local Ternary Pattern (LTP), encode the relationship between the referenced pixel and its surrounding pixels, by computing gray-level difference, but in a different way. The proposed methods encode the relationship between the center pixel and its neighbors, based on directions such as vertical, horizontal and diagonal. Calculation based on First Order Derivatives is used here. Second order derivative is also applied to obtain LScP. The performance of the proposed method is compared with the LTrP and other local pattern (LBP,LDP and LTP)which results are obtained using benchmark image databases viz., Corel 1000 database(DB1), Brodatz texture database(DB2). Performance of the LScP shows improvement in retrieval from 75.9%/48.7% to 86.52%/54.4% in DB1, for average precision/average recall as compared with LTrP and other local patterns . A similar comparison shows improvement from 85.30% to 91.5% in terms of average retrieval rate on database DB2
Keywords: Content-based image retrieval(CBIR), Local sedec patterns (LScPs), Local tetra patterns (LTrPs)
Optimal Sentence Clustering for Web Database using Hierarchical Fuzzy Relational Clustering Integrated with Artificial Bee Colony Algorithm
by Santhi Venkatraman, Prasanthini R.
Abstract: Sentence clustering plays a vital role in text mining and text processing activities. The proposed work is a novel Hierarchical Fuzzy Relational Clustering Algorithm (HFRECA) capable of identifying sub clusters. It has features of both hierarchical clustering and fuzzy clustering in which it uses page rank to form multiple clusters present in text documents containing hierarchical structure. To enhance the quality of the clusters formed, an optimization algorithm which is called Artificial Bee Colony (ABC) algorithm is used along with it. The proposed algorithm identifies the sub clusters and finely tunes the cluster to show a better optimized result.
Keywords: Sentence clustering; page rank; fuzzy relational clustering algorithm; artificial bee colony algorithm.
Cognizant Computing and “Lean” Practices: Interactions with 21st Century Businesses and Implications
by Emmanuel C. Ogu, Benita Amos, Uduakobong Edy-Ewoh
Abstract: Cognizant Computing is one of the emerging, current and rapidly evolving information technologies that portends great promises for savvy businesses of the 21st century, with the potential to create huge savings and returns for businesses by reducing overhead costs and expenses. “Lean” practices in the business manufacturing and process industries have been proven to also guarantee global competitiveness and enhance efficiency of the manufacturing and process chain operations of businesses, while ensuring enhanced financial performance, productivity and market performance of end products. Until now, the existing nexus between these twain paradigms have remained blurred, with very little knowledge of how both can be combined and harnessed to ensure business success in the 21st century. As the world advanced towards the dawn of the long-deliberated Industry 4.0 revolution, it has become necessary that these twain concepts be re-investigated with a view to uncover a possible nexus between them; which, upon implementation, could guarantee the success, competitive advantage and stability of businesses in the coming industrial revolution. This study utilizes the exploratory research methodology due to the relatively new and emergent nature of the domain of discourse. The study introduces cognizant computing and illuminates its prospects for businesses in the present era, and how “lean” practices could combine with cognizant computing to guarantee the success and sustainability of businesses in the coming industrial age.
Keywords: Cognizant Computing, Business Operations, Industry 4.0 Revolution, Business Information Technology, Lean Manufacturing.
The critical success factors for customer relationship management implementation: a systematic literature review
by Meyliana, Achmad Nizar Hidayanto, Eko K. Budiardjo
Abstract: The implementation of customer relationship management (CRM) is one of the most common strategies applied by companies to enhance customer relationship and highly related to technology. In fact, it is not easy to successfully implement this strategy because it requires a huge investment and is influenced by other critical factors. This research aims to synthesise critical success factors (CSFs) from CRM implementation using a systematic literature review approach to papers published in 2001-2014. According to the findings towards 53 relevant papers, technology selection and adaptation (technological readiness) are the most dominant factors. Furthermore, the synthesis finding also shows CSF research shifting to social media, and turns out as the difference between CRM and social CRM implementation.
Keywords: critical success factors; CSFs; customer relationship management; social CRM; social literature review; CRM implementation; technology selection; technology adaptation; technological readiness.
A review of recent advances in text mining of Indian languages
by Prabin Kumar Panigrahi, Nishikant Bele
Abstract: Text mining in English language has been researched extensively in past and significant amount of resources, tools and techniques have been developed. India is a country of high language diversity. A large amount of textual data is available in Indian languages. Knowledge can be discovered from this text by applying text-mining techniques. Due to the characteristics of Indian languages, tools, techniques and resources available for mining text in English language cannot be applied directly to text in Indian languages. We could not find any comprehensive literature describing the research work related to mining of text written in Indian languages. In this paper, we review the research work done so far, availability of language resources and various challenges of text mining tasks in Indian languages.
Keywords: text mining; Indian languages; language corpora; feature extraction; language resources; classification; sentiment analysis; natural language processing; NLP; Hindi; India; Indian texts.
Data warehouse requirements engineering: an emerging discipline
by Deepika Prakash, Daya Gupta
Abstract: Though the origins of requirements engineering lie in software/information systems engineering, our study shows that requirements engineering in data warehouse systems is beginning to emerge as a stand-out, independent discipline. We show that failure statistics of both kinds of systems point to the common problem of defective requirements. Consequently, a number of models and techniques were developed in software/information systems for engineering the requirements of the system to-be. Initially, data warehouse requirements engineering was highly influenced by these. However, in recent years, new concepts and models specific to data warehouse requirements engineering have been proposed. We are seeing the emergence of a new discipline.
Keywords: data warehouse requirements engineering; business intelligence; data warehousing; transactional systems; decision making.
Segmentation of retail customers based on cluster analysis in building successful CRM
by Gaurav Gupta, Himanshu Aggarwal, Rinkle Rani
Abstract: Direct marketers uses data mining technique called segmentation based on cluster analysis to target a subset of their customers for improving their profits. As the world is growing more and more competitive, the customer need and experience is becoming more important to the businesses. CRM based on data mining is a comprehensive strategy and a process of acquiring, retaining, and partnering with selective customers to create superior value for the business by using customer knowledge. The objective of the paper is to segment the relevant customers through cluster analysis that may be helpful to the marketers in increasing their profit, sales and building long-term relationships with them. Segmentation of the customers can be achieved through cluster analysis. The findings in the paper may help the retailers to focus those segments of customers that increase their business, sales and profit and also aid in customer build ups and maintaining long-term relationships.
Keywords: customer segmentation; data mining; CRM; customer relationship management; cluster analysis; retailing; services; marketing strategy; retail customers; long-term relationships.
Measurement of the information system project success of the higher education institutions in Indonesia: a pilot study
by A'ang Subiyakto, Abd. Rahman Ahlan, Mira Kartiwi, Syopiansyah Jaya Putra
Abstract: This paper presents a pilot study to validate quantitatively an information system (IS) project success model. In terms of its continual research, the model was evaluated qualitatively using focus group study (FGS) conducted earlier in the research. This study was also aimed to explain an IS project success performance and its factors that affect the project implementation in the sampled institution. Despite that the findings and its recommendations can only be considered in the context of the pilot study, this research had highlighted the complementary, completeness, and comprehensiveness of the model validation through mixed-methods approach. Such findings had become the main contribution of this study, among others, that is to fill the gap in the literature of the lack of comprehensive detail of model validation through mixed-methods.
Keywords: information systems; project success; pilot study; model validation; mixed methods; higher education institutions; HEIs; Indonesia.
Explanations in recommender systems: an overview
by Rajesh Sharma, Sanjog Ray
Abstract: Personalisation of product and services is one of the most important aspects in e-commerce and web-based companies. Recommender system is the technology that helps build personalisation features. One promising and emerging area in the field of recommender systems is explanations. Explanation is the reasoning behind the information presented about a recommendation and plays an important role in helping the user evaluate the recommendation received on websites related to e-commerce, social networking, search engines, etc. In this paper, we present an overview of this emerging concept of explanation which is important in present day context as an aid for overcoming information overload. Present status of research in this field is discussed on the three important areas-objectives and evaluation of performance of explanations, effect of explanation interfaces on the users and the growing influence of explanations in social networking sites. We conclude the paper with discussions on areas of future research in this upcoming field which can be of academic interest to the researchers and of practical utility to the system designers of recommender systems for increasing its effectiveness.
Keywords: explanations; recommender systems; review; personalisation; recommendation systems; information overload; social networking sites; SNS.