International Journal of Business Information Systems (93 papers in press)
- Competitive Processors Allocation in 2D Mesh Connected Multicomputer Networks: A Dynamic Game Approach
by Ayoub Alsarhan, Ahmad Al-Khasawneh, Awni Itradat, Emad E. Abdallah
- Strategic Insights Into The Critical Success Factors Online For-Profit Educational Providers: Case Study
by Amber A. Smith, Alan D. Smith, William T. Rupp
- K Means Clustering For Profiling the Rural Women Entrepreneurs in India
by M. Hemalatha, Senthil Nayaki S.
- Information Systems Valuescape
by John Jeansson
- Examining the Social Software Characteristics and Knowledge Sharing Behavior among the University Students in Malaysia
by Yossawadee Kaeomanee, P.D.D. Dominic, Riaza Mohd Rias
- A Semantic QoS-aware Web Services Composition Framework
by Mohsen Rouached, Hassen Sallay
- Assessing the Impact of Information Technology in a Power Sector by
Fuzzy Analysis of Variance
by A. Azadeh, S. Talebi
- Real Estate Market Online Consolidation
by Mahmoud Migdadi, Tarek Habib, Gabi Zumot
- The Development and Application of Information System Driven Value Creation in Indian Financial Services Sector
by Lawrence Harold, M. Thenmozhi
- Factors affecting balanced scorecard usage
by Majidul Islam, Yi-Feng Yang, Yu-Jia Hu, Cheng-Se Hsu
- User Awareness of Social Media Security: The Public Sector Framework
by Ali Zolait, Reem R Al-Anizi, Suhair Ababneh, Fatima BuAsalli, Noora Butaiba
- Online Content: Who Is Willing to Pay and for What?
by Anssi Tarkiainen, Heli Arminen, Olli Kuivalainen
- Feasibility Study of Implementing Electronic Commerce in Petrochemical Industries with a Case Study
by Mohammad Reza Dalvand, Ali Nejat, Maziyar Nouraee, Ali Mohabati Jahromi, Mohammad Hadi Zohdi
- Information system requirements: a flow-based diagram versus supplementation of use case narratives with activity diagrams
by Sabah Al-Fedaghi
- Business / Information Technology Alignment for Financial Services: A Review and Synthesis of Existing Literature
by Siân Miller, Yogesh K. Dwivedi, Michael D. Williams
- A Service Oriented Communication Model for High Speed Intrusion Detection Systems
by Mohsen Rouached, Hassen Sallay
- Use of management accounting information in SMEs role of service provider relationships
by Helena Sjögrén, Pasi Syrjä, Kaisu Puumalainen
- ERP SaaS Value Chain: A Proposed SaaS Model for Manufacturing SCM Networked Activities
by Richard Addo-Tenkorang, Petri T. Helo
- Drivers of Information and Communication Technologies adoption in Colombian services firms
by María Verónica Alderete, Luis H. Gutiérrez R.
- Reinforcement Learning for Routing and Spectrum Management in Cognitive Wireless Mesh Network
by Ayoub Alsarhan, Ahmad Al-Khasawneh, Yousef Kilani, Mohammad Bsoul
- Synchronicity in International Stock markets: Evidence from US-South Africa
by P. Lakshmi, S. Visalakshmi, Kavitha Shanmugam
- Design and Implementation of a Novel Secure Internet Voting Protocol Using Java Card 3 Technology
by Mostafa MOHAMMADPOURFARD, Mohammad Ali DOOSTARI, Mohammad Bagher GHAZNAVI GHOUSHCHI, Hadi MIKAILI
- How business intelligence works when analytics meet guanxi
by Bo Han, Shih Yung Chou
- Exploring Information System Evaluation in Indian Manufacturing Sector
by Khushdeep Dharni
- A Framework for Applying Critical Success Factors to ERP Implementation Projects
by Rekha Gupta, S. Kazim Naqvi
- Electronic Government Procurement Implementation in India: A cross sectional study
by Prabir Panda, GP Sahu
- An empirical study on creating software product value In india an analytic hierarchy process approach
by Jessie T Latha, L Suganthi
- An empirical examination of a mediated model of strategic information systems planning success
by Gerald Elysee
- A comparative study of multi criteria decision making approaches for risks assessment in supply chain
by Mahesh Chand, Tilak Raj, Ravi Shankar
- Factors Impacting the Adoption of Social Network Sites for Emergency Notification Purposes in Universities
by Wencui Han, Serkan Ada, Raj Sharman, Robin Hattersley Gray, Anand Simha
- BareBone Cloud IaaS: Revitalization Disruptive Technology
by Joseph Ng Poh Soon, Ahmad Kamil Mahmood, Choo Peng Yin, Wong See Wan, Phan Koo Yuen, Lim Ean Heng
- TEXT DATA MINING: A PROPOSED FRAMEWORK AND FUTURE PERSPECTIVES
by SANAA A. ALWIDIAN, HANI A. BANI-SALAMEH, ALAA N. ALSLAITY
- A hybrid Grey-based K-means and Genetic Algorithm for project Selection
by Abbas Toloie Eshlaghy, Farshad Faezy Razi
- Variants, Meta-heuristic Solution Approaches and Applications for Image Retrieval in Business Comprehensive Review and Framework
by S. UMAMAHESWARAN, K. GANESH, N. SURESH KUMAR, P.V. RAJENDRA SETHUPATHI, S.P. ANBUUDAYASANKAR
- Green Supply Chain Management and SMEs: A Qualitative Study
by Suzan Hijaz, Omar Al-Hujran, Mutaz M. Al-Debei, Nour Abu-Khajil
- Analysis of Cloud Adoption Determinants by Using BOCR Analysis and DEMATEL
by Achmad Nizar Hidayanto, Nathan Abednego, Siti Aminah, Yudho Giri Sucahyo
- From ER Model to Star Model: A Systematic Transformation Approach
by Abid Sohail, P.D.D. Dominic
- Application of adaptive neuro-fuzzy inference system and artificial neural network in inventory level forecasting
by Sanjoy Kumar Paul, Abdullahil Azeem, Abhishek Kumar Ghosh
- User-centered design practice and adoption in smaller ICT companies in Eastern Finland: an interview study
by Roman Bednarik, Janne Krohns
- Electronic Data Interchange (EDI) Adoption from Technological, Organizational and Environmental Perspectives
by Lee Sai Leong, Sulaiman Ainin, Shahin Dezdar, Hisham Mallasi
- Web of Things: Readiness and Applications from a Business and Consumer Perspective
by Peter Sedgeman, Yanjun Zuo
- Query Answering Based View Selection
by T.V. Vijay Kumar, Mohammad Haider
- Development and Performance Evaluation of Nonlinear and Robust Adaptive Models for Prediction of Number of Customers of Mobile Phone Service Providers
by T. Rahul, Ritanjali Majhi
- An empirical examination of Web 2.0 technologies and its readiness for business
by Parag Kosalge
- Big Data: Web-crawling and Analyzing Financial News Using RapidMiner
by Jesse Lane, Hak J. Kim
- Examining the Relationship of Payment System Characteristics and Behavioural Intention in E-Payment Adoption: A Case of Indonesia
by Achmad Nizar Hidayanto, Luqman Syauqi Hidayat, Puspa Indahati Sandhyaduhita, Putu Wuri Handayani
- Exploring Factors Affecting Service Quality of ERP on Cloud: A Revelatory Case Study
by Sumedha Chauhan, Mahadeo Jaiswal
- Symptoms, Causes and Remedies for Failures in Enterprise Systems Implementation
by Sock H. Chung, S. Imtiaz Ahmad, Hung-Lian Tang
- Analysis of Strategic and Organizational Factors of Mobile Government By Using Fuzzy Approach
by Mehrafarin Bakhshimazdeh, Mohammad Alikhasi
- A data mining approach for turning potential customers into real ones in basket purchase analysis
by Abolfazl Kazemi, Mohammad Esmaeil Babaei, Mahsa Oroojeni Mohammad Javad
- SMEs Adoption of E-commerce using Social Media in a Saudi Arabian Context: A Systematic Literature Review
by Salma Abed, Yogesh Dwivedi, Michael Williams
Abstract: Through the analysis of a number of previous studies, this article aims to present an overview of extent literature on the adoption of e-commerce by Small- and Medium-sized Enterprises (SMEs) using social media in a Saudi Arabian context. An extensive literature review has been grouped and represented in six different categories including Information and Communications Technology (ICT) adoption, e-commerce adoption by organisations, consumer adoption of e-commerce, e-commerce adoption by SMEs including the use of social media to adopt e-commerce, and the use of social media by SMEs to adopt e-commerce in a Saudi Arabian context. The studies are analysed, literature gaps are highlighted, and further research directions within the field are proposed.
Keywords: E-commerce, Social Media, Small and Medium Size Enterprises, Saudi Arabia
- Investigating Knowledge Sharing Behavior on Virtual Community Members: Integration of Technological, Individual and Contextual Factors
by Achmad Hidayanto, Arieffender Limupa, Kasiyah M. Junus, Nur Fitriah Ayuning Budi
Abstract: Knowledge contributing behavior as well as knowledge collecting behavior is essential and necessary in optimizing knowledge sharing behavior. By integrating social cognitive theory (SCT) model and IS success model theory, this research identified and analyzed three dimensions of influential factors of knowledge sharing behavior, namely individual factors, technological factors and contextual factors. Data were collected from virtual community members of information technology in Indonesia, and subsequently analyzed by using partial least squares (PLS) method. The result showed that the information quality, the norm of reciprocity, the expectation outcomes, the enjoyment in helping others, and the interpersonal trust have significant influence in knowledge sharing behavior. In addition, the result also concluded that knowledge contributing behavior and knowledge utilization are particularly important for community promotion activities.
Keywords: Contextual factor, IS success model, individual factor, information quality, knowledge sharing behavior, online community, partial least square (PLS), service quality, social cognitive theory (SCT) model, system quality, virtual community.
- The Effect of Website Interface features on E-commerce: An Empirical Investigation using the Use and Gratification theory
by Afshan Azam
Abstract: Abstract: Based on uses and gratifications theory, this study explores influences of informativeness, entertainment, and irritation on website interface features and then attitude toward the website. This study tests a wide range of design elements to determine those that provide human elements and computer elements. These elements are linked through intermediaries using the uses and gratifications theory and attitude toward the website. This nomological model was tested with a structural equation modeling (SEM) approach. SEM results indicated that website interface features and the uses and gratifications theory explains well consumers' attitude toward the website. The possible implications, limitations and future work of this study is also discussed in the end.
Keywords: Keywords: Use and gratification theory; Website interface features; E-commerce; Human factors; Computer factors; Informativeness; Entertainment; Irritation; Attitude towards website; SEM.
- Materialized View Selection using Randomized Algorithms
by T.V. Vijay Kumar, Santosh Kumar
Abstract: A data warehouse stores historical data for the purpose of answering strategic and/or decision making queries. Such queries are usually exploratory and complex in nature and have a high response time when processed against a continuously growing data warehouse. This response time can be reduced by materializing the views in a data warehouse. These views containing pre-computed and summarized information, aim to provide answers to decision making queries in an efficient manner. All views cannot be materialized due to space constraints. Also, optimal view selection is shown to be an NP-Complete problem. Alternatively, several view selection algorithms exist, most being empirical or based on heuristics like greedy, evolutionary etc. In this paper, a randomized view selection two phase optimization algorithm (VS2POA), that selects the Top-T views from a multi-dimensional lattice, is presented. VS2POA selects views in two phases, In the first phase, iterative improvement technique is used to perform local optimization. Its output, i.e. the best local optimized Top-T views then becomes the initial solution state, comprising of the initial Top-T views, for the next phase, which is based on simulated annealing. VS2POA, in comparison to the well known greedy algorithm HRUA, selects comparatively better quality views for higher dimensional data sets.
Keywords: Data Warehouse, Materialized View Selection, Randomized Algorithms, Iterative Improvement, Simulated Annealing
- How to Measure Business Value of Business Model Ontologies? A Proposal
by Hichem Benaissa Anouar Badsi, Leila Zemmouchi-Ghomari, Abdessamed Réda Ghomari
Abstract: A business model is an attractive concept for business management. It can benefit from ontology paradigms that are described more formally and more precisely. However, case studies of ontologies describing enterprise business models have rarely been reported in the literature, although there are a few indications of the impact of these ontologies on business models; however these indications do not ease the assessment of the added value of this type of ontology. The aim of this paper is twofold; on one hand, we highlight the lack of task-based assessment of enterprise business model ontologies via some concrete case studies, and on the other hand, we aim to tackle this issue by proposing indicators intended for measuring the impact of business model ontologies in the framework of enterprise business models.
Keywords: ontology evaluation; task-based assessment of ontologies; business model representation; business model ontology; ontology impact in enterprise context
- A Survey on Data Mining and Knowledge Discovery Techniques for Spatial Data
by Majid Shishehgar, Seyed Nasirodin Mirmohammadi
Abstract: Spatial data lied in databases, specifically in Geographic Information Systems (GIS) data centers, can produce huge amounts of data. This great volume of information is including useful and non-useful data along with some hidden patterns which can be better managed and controlled by utilizing some novel artificial intelligence methods. In this research we have a brief survey on the application of statistical methods like data mining and knowledge discovery on spatial data. First, we present an overview of geospatial data mining and knowledge discovery techniques, including spatial clustering, classification, prediction, associate rules, and pattern analysis. Then, some challenges faced by geographic knowledge discovery in Geographic Information Systems (GIS) have discussed in order to have a more clear idea of the futures researches in this area.
Keywords: Geo-spatial data mining; Spatial knowledge discovery; Spatio-temporal patterns; Spatial interaction; Classification; Clustering; Associated rules; Decision trees.
- Managing the Internal IT Service Quality in Public Sector Banks of India
by Sanjay Dhingra
Abstract: The present study evaluates the internal information technology (IT) service quality of
public sector banks in India by using SERVPREF instrument of SERVQUAL model. The
results revealed the relative importance of IT service quality dimensions as perceived by
IT users. The empathy has been found the most important dimension, followed by
tangibility, responsiveness, and reliability, while assurance has been found to be
insignificantly affecting the service quality.
Keywords: SERVPREF; SERVQUAL; IT service quality
- Mobile Agents Modeling Using UML
by Feras Ahmad Hanandeh, Izzat Alsmadi, Majdi Yousef Al-Shannag, Essam Al-Daoud
- Measurement of E-Banking Services Quality: An Empirical Experimentation in Jordan
by Ali Alawneh, Mofleh Al diabat
- Assessing the Impact of the Information Technology on Organizational Systems: A Power Holding Company
by Ali Azadeh, Hasti Foroozan
- Students Authentication in e-assessment Sessions: A Theoretical Biometric Model for Smartphone Devices
by Randa Obeidallah, Ayat Alahmad, Fairouz Farouq, Sari Awwad
Abstract: The trend of accessing the internet by different types of devices increases the challenges for organizations who are embracing e-assessment sessions as part of the e-learning process. These organizations face the unethical behavior of unauthorized students as well as the costly expenses to provide secure exam systems. Different user authentication methods are briefly discussed in this paper for the e-assessment environment. As we pursue the optimistic version of the full meaning of e-learning and e-assessment, a theoretical model for Smartphone devices is proposed to authenticate the identity of students before and during the e-assessment session.
Keywords: User authentication, e-assessment, Password, Smart cards, Biometrics, e-learning, m-learning, Behavioral biometrics, Physiological biometrics, Smartphone
- A GREY BASED APPROACH FOR ERP VENDOR SELECTION IN SMALL AND MEDIUM ENTERPRISES (SMEs) IN QATAR
by Mohd. Nishat Faisal, Habibullah Khan
Abstract: This paper aims to develop a multi-criteria decision model for the purpose of ERP vendor selection. To tackle the multi-criteria nature and the presence of both qualitative and quantitative factors grey based model was proposed. Grey theory was utilized as it can effectively solve the multi-criteria decision making problems with small data sets. The major contributions of this work have been summarized as follows: development and implementation of a multi-criteria decision model for ERP vendor selection; group based decision making for comparing among attributes and ERP alternatives and efficient use of the concept of grey numbers to facilitate the solution of the model for SMEs in Qatar. The proposed method will help information system managers to weigh the ERP alternatives before actually implementing them, which will in turn save money and time.
Keywords: Grey Theory, ERP, SMEs, Qatar
- Prioritization of Cloud Computing acceptance indicators using fuzzy AHP
by Narges Safari, Fariba Safari, Mehdi Kazemi, Alireza Hasanzadeh
Abstract: As organizations grow, documentation and categorization of business information will become harder in traditional databases. In addition, these growing organizations will be involved with providing expensive computing resources. Cloud computing is a cutting-edge technology with huge amounts of advantages for most companies especially the ones that are highly dependent on information systems. Therefore, the current study aims to investigate and prioritize the factors affecting cloud computing adoption. The final model presented in this study has 2 main criteria (organizational and individual level), 4 sub criteria (organization, technology, environment and user acceptance) and 9 factors (business strategy, top management support, security and privacy, relative advantage, sharing and collaboration, competitive pressure, partner pressure, perceived trust and perceived ease of use). While, the results indicated that annual IT revenue is not considered as an important determinant in adopting cloud computing technology. In the second step, the analytic hierarchy process (AHP) methodology is applied for measurement of the importance of determinants. Using fuzzy AHP approach, this study is the first attempt to prioritize the cloud computing adoption determinants. The knowledge on prioritization of cloud computing adoption factors will lead to better understanding of its acceptance in future.
Keywords: Cloud Computing, business strategy, top management support, security and privacy, relative advantage, sharing and collaboration, competitive pressure, partner pressure, perceived trust and perceived ease of use , AHP methodology.
- A Fuzzy Hybrid Approach to Enhance Diversity in Top-N Recommendations
by Maatallah Majda, Seridi Hassina
Abstract: . In recent researches, Recommender Systems performance was restricted in their ability to predict unseen items by users and recommending them those with the highest predicted ratings. To make good predictions it is not sufficient to judge the performance, because a good recommender should offer useful and diverse items that fit to different interest choices and tastes of users. Unfortunately, the lack of diversity and the stability in recommender systems over the users profile dynamicity become a major challenge. In this paper, we propose a Fuzzy Hybrid Diversified Recommendation System able to generate multi-taste recommendations depending on the user\'s profile variation. Due to the fuzziness and uncertainty in users profile, the system allows users belonging to different clusters using a Fuzzy-based Collaborative Filtering combined with a Content-based Filtering algorithm. To identify the users neighbourhood, a novel similarity measure is proposed. To increase diversity in recommended lists, subsets from Top-N recommended lists in similar clusters, are selected according to users membership degrees. Several experiments are conducted on Movilens dataset to prove the proposals effectiveness
Keywords: Recommender Systems; Diversified Recommendation; Fuzzy C-Means; Nonnegative Matrix Factorization; Fuzzy Neighbourhood; User Profile; Taste; Top-N Recommendation.
- Operating Systems Course in a Business Information Systems Curriculum
by Nijaz Bajgoric
Abstract: Operating systems are traditionally taught from computer science/computer engineering perspective. However, as more and more businesses progressively rely on the availability and scalability of their business information system infrastructures which are in most cases based on client/server architecture, the roles of servers and server operating systems are becoming critical with regard to business applications' availability. It turned out that many businesses in e-business era simply go out of business due to the downtime caused by server operating system crashes. Therefore, operating systems, particularly server operating systems, should be taught in business information systems programs as well, with an emphasis on their business perspective.
A framework for designing and delivering an operating system course in a business information systems (BIS) undergraduate program is presented
Keywords: business information systems, operating systems, server operating systems, system administration, business continuity
- Enhancing organizational performance through information technology: An organizational and social strategic context
by José Martinho, Carlos Gomes, Mahmoud Yasin
Abstract: Motivated by the increasing significance of information technology (IT) in todays open system organizations, the objective of this research is to uncover the relationships between business executives and their IT counterparts, which are essential toward improving organizational performance. In the process, a structural equation modelling is utilized to analyse the responses of a sample of hundred and forty-one (141) Portuguese executives. The results of testing the nine research hypotheses tend to underscore the significance of the trust between business and IT executives. Such trust is capable of fostering an organizational culture, which is conducive to the enhancement of the organizational performance. The ability of these business and IT executives to work together cultivates a knowledge domain, which generates effective solutions and applications to organizational problems.In turn,this contributes to improving the competitive performance of the organization.
Keywords: IT-business relationship; shared domain knowledge; IT-business social alignment; organizational performance.
- Leveraging Mobile Devices for Human Resource Information Systems
by Sharon Pande, Neville Gomes
- The Effectiveness of Organizational Information Systems: Perceptions of Non-IT Executives and IT-Executives on IS Contributions to Strategic Development
by Muhammed Ademola Badamas
- Data Stream Outlier Detection Approach based on Frequent Pattern Mining Technique
by Aiman Moyaid Said, P.D.D. Dominic, Ibrahima Faye
- Factors affecting the adoption of cloud computing in small and medium enterprises
by Narges Safari, Alireza Hasanzadeh, Ali Rajabzadeh Ghatari
Abstract: In spite of cloud advantages for small and medium enterprises (SMEs) to reduce their costs and improve their performance, they have not utilized it at the desired level. Therefore, this study seeks to provide a model for the adoption of cloud computing in SMEs based on TOE framework (Technology, Organization, and Environment) along with Individual characteristics. The results show that relative advantage and compatibility in technological context, sensitivity of data and supporting infrastructure in organizational context, vendor support, competitive pressure and government support in environmental context, CEO trust, and CEO cloud knowledge in CEO characteristics are significant factors in cloud adoption. However, Complexity and CEO innovativeness are not influential determinants. In addition, five top prioritized factors for moving to cloud are relative advantage, vendor support, competitive pressure, CEO trust, and CEO knowledge. This study is not only useful for SMEs in their adoption decision but also for researches in this subject.
Keywords: Cloud computing; small and medium enterprises (SMEs; TOE framework; relative advantage; compatibility; sensitivity of data; supporting infrastructure; vendor support; competitive pressure; government support; CEO trust; CEO knowledge; Complexity; CEO innovativeness.
- Green Supply Chain Performance Appraisement and Benchmarking using Fuzzy Grey Relation Method
by Saurav Datta, Anoop Kumar Sahu, Siba Sankar Mahapatra
Abstract: Recently, the explosion of green supply chain management (GSCM) initiatives in the practical realm has led to an increasing body of research in relation to both external influences leading to the adaptation of green supply chain management practices, and their impact on firms overall performance. rnIn last decades, green performance measurement has become a part of decision-making scenario in order to check and compare ongoing firms performance with the prescribed standard from the aspect of amendment as well as improvement of green issues and practices for acquisition of unified green goal of candidate industries. rnIn this context, an efficient performance appraisement framework (index system) has been conceptualized from the resource of existing literature to appraise and benchmark green performance extent of candidate industries running under similar green supply chain architecture. In this reporting, on account of the ill-defined criterions and inherent vagueness associated with subjectivity of evaluation criterions (evaluation indices); the assessment (evaluated score) of the expert panel have been acquired in terms of linguistic assessment which have been finally transformed into generalized Triangular Fuzzy Number (TFN) set. The fuzzy transformation of the linguistic data helped in data analysis supported by the fuzzy mathematics in order to facilitate the said decision-making. rnA fuzzy based computation module embedded with Grey Relation Method (GRM) has been explored in this work from the prospectus of evaluation, appraisal and benchmarking the preferred green supply chain performance of candidate industries operating under common green practices. Finally, an empirical case study has been led from the perspective of checking feasibility as well as effectiveness of the proposed decision-making approach. rn
Keywords: Green Supply Chain Management (GSCM); Benchmarking; Triangular Fuzzy Number (TFN); GRM (Grey Relation Method)
- Two-Stage Graph-Clustering Algorithm and Localized Classification Model to Identify Apt Business Locale
by Harya Widiputra, Marsudi Kisworo, Agnes Novita, Tiolina Pardede
Abstract: Previous studies conducted in the economy, finance and business management fields have found that there exists a collection of business agglomerations, which contain various numbers of firms that are spread on a specific region. Based on this realness, the selection of apt business locale for a new establishment should then be considered as a trial to identify the prospective business agglomeration in which the new establishment would be able to compete with existing firms. Consequently, a pertinent method that works by characterizing the business agglomerations from a collection of business firms data and subsequently computes the projection of business performance level of a new establishment in each identified agglomeration is developed in this study. A two-stage graph-clustering algorithm that purposively designed to unravel the task of business agglomerations identification is introduced, whereas the localized classification models perform the prediction of business performance level in each known agglomerations. Decisively, results from conducted experiment suggest that the proposed method is beneficial to distinguish the apt business locale for new establishments in a particular region with a collection of business agglomerations.
Keywords: BBusiness Agglomeration; Business Locale; Graph-Clustering; Localized Classification Model
- STEP Model approach for linking Website Usability Dimensions and Website Success Measures in B2C E-commerce Setting
by Geetanjali Sahi, Sushila Madan
Abstract: The study proposes STEP model of B2C E-commerce success by relating website usability dimensions and success measures. Questionnaire survey method is used to collect data from selectrespondents (N=415) with respect to seven dimensions identified after literature review. Findings indicate that usability dimensions have differential impact on success measures. For instance, the trust construct impacts all success measures, whereas propriety of content impacts only perceived usefulness. STEP models fit statistics indicate a good model fit.Findings and implications of these are discussed.
Keywords: B2C E-commerce, system quality, trust, extension quality, propriety of content, perceived usefulness, user satisfaction, intention to purchase.
- Information Technology Revolution and Transition Marketing Strategies of Political Parties: Analysis through AHP
by Arpit Jain, Anil Kumar, Manoj Kumar Dash
Abstract: As the technology has been evolving, India has been witnessing an increased internet revolution growth. Due to Information Technology (IT) revolution, all political party in India were campaigning their party and candidate through social networking sites to capture the confidence and to win the trust of electors in parliamentary elections in 2014, this revisited their marketing strategies: transition from offline to social media. This study develops a conceptual model and identifies the major factors to the merchandising strategies of political parties: transition from offline to online. Analytic Hierarchy Process (AHP) is used to produce a hierarchy structure model to prioritize the influencing factors of electors of by the survey of judgment. The results of our analyses show that the growth of internet technology occupied the first rank followed by internet penetration and e-marketing. The findings of this research show that all the offline channels are converting in online channels with very fast speed due to the technology revolution.
Keywords: technology revolution, campaign, analytic hierarchy process, transition, social media, merchandising
- Selection Decisions of Offshore ITO Service Providers for Strategic Alliances - An AHP Based Approach
by Santanu Mukherjee, Kampan Mukherjee
Abstract: Increasing trends towards offshore business model for IT service delivery motivates client organizations look for offshore partners, who have the ability to match their strategic business requirements. One of the critical steps in this endeavor is the selection of an offshore supplier among many potential alternatives. Therefore, the offshore supplier selection decision has emerged as an important aspect of strategic alliance formation. Given the multi-criteria nature of the offshore supplier selection decision, this article proposed a comprehensive problem definition hierarchy highlighting the key elements (criteria) at its various levels based on a thorough study and analysis of the existing literature on IT outsourcing (ITO) industry. A data collection instrument is designed to capture comparative judgments from Indian practitioners on relative importance of each element in the hierarchy. Analytic Hierarchy Process (AHP) is applied to synthesize the captured data to get the normalized weights of these criteria. Lowest level criteria are eventually used to rank three suppliers to test the veracity of the proposed hierarchy. At the end a sensitivity analysis is conducted to verify the stability of the outcome.
Keywords: AHP, Decision making, Framework, Hierarchy, Offshore, Priorities, Service Provider, Strategic Alliance, Supplier
- Multi-objective Model for Intelligence Evaluation and Selection of Enterprise Systems
by Ahad Zare ravasan, Saeed Rouhani
Abstract: Most organizations still experience a lack of Business Intelligence (BI) in their decision-making processes when implementing enterprise systems. The current state-of-the-art in decision support takes the intelligence requirements of enterprise systems as important quality aspects into consideration, along with their functional and nonfunctional needs, but the literature lacks studies on the evaluation of these intelligence requirements. This paper proposes a fuzzy, multi-criteria decision-making procedure and a multi-objective programming model to evaluate and make final decisions about the selection of enterprise systems that also include the requirements of business intelligence in addition to their other goals and requirements. In order to validate the model with a real application, all phases of the approach were applied in the evaluation of the enterprise systems of a company in the oil industry. Companies can use this model to evaluate, select and implement enterprise software and systems that will provide better decision support for their organizational environment.
Keywords: Enterprise Systems; Business intelligence; Multi-objective programming; Fuzzy evaluation
- The effects of performance-monitoring technology on privacy and job autonomy
by Marko Seppanen, Eila Pajarre, Pasi Kuparinen
Abstract: The contemporary working environment makes good use of ICT technology development. However, since modern devices and software also enable electronic monitoring of performance, for employees the use of ICT may incur feelings of privacy invasion. This study builds a model based on the Job Characteristics Model and the Unified Theory of Usage and Acceptance of Technology (UTAUT) model explaining the relationship between willingness to adopt new ICT tools and perceived job autonomy at the level of individuals. Data from a survey of a telecom service firm with several offices were used to test the model. The findings show that the feelings of privacy invasion have a strong negative and statistically significant relationship with the perceived job autonomy.
Keywords: technology; organization; adoption; performance; electronic monitoring; ICT; job autonomy; privacy
- Examining beliefs, values and attitudes towards social media advertisements: results from India
by Thamaraiselvan Natarajan, Janarthanan Balakrishnan, Senthilarasu Balasubramaniam, Jeevananthan Manickavasagam
Abstract: The purpose of this study is (a) to empirically identify the Indian consumer attitude towards social media advertisements based on their demographics and (b) to investigate the relationship underlying beliefs, values, attitude and behaviour towards social media advertisements among Indian consumers. Online data collection was administered from various social media sites. 510 responses were recorded comprehensively as usable data. CHAID criterion in decision tree technique was used to identify the significant demographic characteristic predicting consumer attitude. A two-step structural equation modeling approach using Lisrel 8.8 was applied to understand the relationship underlying beliefs, advertising value, consumer attitude, and consumer behaviour. A consumers occupation, income level and preferred social media sites were identified as the most significant demographic predictors for his/her attitude towards social media advertisements. Standardised estimates of the structural equation modeling indicated that four beliefs factors, namely, hedonic/pleasure, social role and image, materialism, and falsity, significantly influenced advertisement value. This research is amongst such pioneering efforts in exploring the online presence and response of Indian consumers to internet marketing in the form of social media advertisements.
Keywords: Online consumer behaviour, social media advertising, demographics, internet marketing, Decision Tree, Online marketing, Indian consumer behaviour, Structural equation modelling, Indian consumers.
Special Issue on: "Building Information System Capabilities in the Age of Complexity"
- Supply Chain Management Practices IT Utilization Alignment: Impact on Supply Chain Performance and Firm Performance
by Sufian Qrunfleh, Monideepa Tarafdar
- Environmental Social Governance (ESG) Management: A Theoretical Perspective for the Role of Disclosure in the Supply Chain
by Vincent G. Whitelock
- Quantitative Analysis of the Effects of Dual Integration on firms Competitiveness
by Atsushi Akiike, YoungWon Park
- Success Factors of Online Services in Kathmandu, Nepal: An Empirical Analysis
by Shisir Prasad Manandhar, Seunghyun Kim, Junseok Hwang
- Interaction of Marketing and R&D and Critical Innovation: Case Study of Korean and Japanese Firms
by Geon-Cheol Shin, James Roh
- A Professional Training Program Design for Global Manufacturing Strategy: Investigations and Action Project Group Activities through Industry-University Cooperation
by Kin'ya Tamaki, YoungWon Park, Satoshi Goto
- International Entrepreneurship and Information Technology Strategies of the Multinational Enterprises from Emerging Markets
by OhSuk Yang, Ryosuke Sugie
- The role of IT for Global firms in Emerging Markets
by YoungWon Park, Paul Hong
- Stakeholders' Pressure and Managerial Responses: Lessons from Hybrid Car Development and Commercialization
by James J. Roh, Ma Ga (Mark) Yang, Kihyun Park, Paul Hong
Special Issue on: "Requirement Engineering Processes in Information Systems"
- Factors Influencing the Willingness to Implement Requirement Engineering Good Practices
by Rajesri Govindaraju, Bahana Wiradanti
- A Knowledge-Driven Approach for Specifying the Requirements of Multi-Agent System
by Vibha Gaur, Anuja Soni
- An Empirical Study of Automated Classification Tools For Informal Requirements In Large Scale Systems
by Adegoke Michael Abejide, Joshua O.A. Ayeni, Sogunle Francis Oluwasegun
- Thinking Cloud enabled adept and agile supply chain for SMEs: A conceptual study
by Sanjay Sharma, Bhavin Shah
- Understanding Heuristics Employed to Verify Non Functional Requirements of Web Based Applications in Pakistani Software Industry
by Asad Hanif, Irfan M. Khan, Saqib Saeed
- A Pattern-Based Approach for Workflow interconnection and Flexibility Support
by S. Boukhedouma, M. Oussalah, Z. Alimazighi, D. Tamzalit