Forthcoming articles


International Journal of Electronic Business


These articles have been peer-reviewed and accepted for publication in IJEB, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Electronic Business (5 papers in press)


Regular Issues


  • Conventional Markets versus Online Markets: Brand Effects and Entry Decisions   Order a copy of this article
    by Gokce Kurucu 
    Abstract: Why did conventional retailers with established brands hesitate to enter online markets for a substantial period of time? This paper aims to explain this phenomenon, which did not receive much attention in the literature. I model the entry decision of a conventional firm as a dilemma: a firm's early entry to the online market would increase that market's popularity and, as a result, shift the demand for the product from the conventional market to the online market. On the other hand, a firm's failure to enter the online market early will allow the competing online firm to increase its brand value due to the increase in demand for its online product. The results show that given the take-off probability -the probability that the popularity of the online market will increase- a conventional firm will delay its entry to the online market whenever brand effects are not substantial, to protect its profits in the monopolistic conventional market. I also show that, if the difference in willingness to pay between agents is high for the online product, then the conventional firm will enter early in order to increase its profits by price discrimination. However, given the probability of take-off, for high enough markup rates in the conventional market, the conventional firm will not risk its dominant position in the conventional market by early entry.
    Keywords: online market; market entry; brand effects; conventional markets.

  • Empirical Study on Electronic Government in Developing Countries by Using Fuzzy Delphi and TOPSIS Techniques   Order a copy of this article
    by Aminreza Kamalian, Fatemeh S. Shahmehr, Peyman Ajdari, Seyed Mohammad Sadegh Khaksar 
    Abstract: The recent implementation of information and communication technology in public-sector services (called electronic government) has increasingly led to simplification of the services provided by today's governments and governors consequently are trying to optimize the efficiency of services by segmentation and prioritization of service sectors. Hence, the main objective of this research is to reconsider and prioritize government e-services in 10 groups including education, healthcare, communication, transportation, law and justice, culture and religion, agriculture and ecology, security and citizenship rights, finance and business services. The research methods used to study e-government are practical and disruptive-surveys. Moreover, the FUZZY TOPSIS technique has been employed to examine these sectors. The research findings suggest that alongside other services, governments must more closely consider education and healthcare services as priority areas in establishing e-government. We also provided some practical implications as well as recommendations for governors and policy makers.
    Keywords: E-government; E-services; Fuzzy Delphi; Fuzzy TOPSIS; Citizen’s Satisfaction.

  • Measuring Business Entities in Multi-Ontologies   Order a copy of this article
    by Arif Bramantoro, Reem K. Alshammari, Alaa Omran Almagrabi 
    Abstract: One of the most important task of a business entity is to make it available for users' requests through the web. The semantic description of business entity needs to be developed by business services to enhance the matching process and connect users' requests with the best advertised services. The modern business entity has semantic description typically represented by the relations between different business services in multi-inheritance ontologies. In this paper, we argue that the relation between business entities in multi-ontologies can be measured to provide better matching results based on the similarity between the requested and advertised business entities within all ontologies. We propose a Business Entity Distance measure that represents a quantitative result between two services of business entities while it supports multiple-ontology inheritance. During the evaluation, a matching engine was also developed based on Web Service Modeling Ontology technologies and validated by using business scenarios. We established that Business Entity Distance measure is suitable for finding various degrees of matching between requested and advertised business entities.
    Keywords: Business entity; WSMO; Semantic distance; Multi-ontologies; Quantitative measure.

  • Knowledge Management for Business Intelligence Measurement in an E-Business System   Order a copy of this article
    by Stavros Valsamidis, Ioannis Kazanidis, Sotirios Kontogiannis, Giannoula Florou 
    Abstract: Knowledge Management (KM) can be defined as the set of activities involved in discovering, capturing, sharing, and applying knowledge to enhance, the strategic impact of knowledge. Business intelligence (BI) is the process of enhancing data into information and into knowledge, in the field of business. E-business refers to any business that uses the Internet and related technologies. This paper introduces the role of knowledge management, for business intelligence providing the understanding of the application of KM with explaining the usefulness of knowledge sharing system for BI in the dynamic transformation of explicit knowledge and tacit knowledge in e-Business system. Four indexes and four metrics, applied innovatively for the first time in the field of e-business, provide capabilities for examining data with web usage analysis in an online store. Two techniques, the Hierarchical Ascendant Classification (HAC) and the Product Classification Algorithm (PCA) are applied with the aid of the aforementioned measures in this e-Business system.
    Keywords: Knowledge Management; Business Intelligence; E-Business; Indexes and metrics; Hierarchical Ascendant Classification; Product Classification Algorithm.

  • Antecedents and Consequences of the Process of Customer Engagement through Social Media: An Integrated Conceptual Framework   Order a copy of this article
    by Abdullah A, Sadaf Siraj 
    Abstract: Over the last decades, the internet and IT enabled services have risen tremendously in importance. The ways through which people exchange information and how individuals communicate with each other have also changed enormously over the last years. In this regard, social networks have become gradually more central to sharing and spreading information and therefore companies are realizing the opportunity of providing information to their customers by establishing social network information services. This study is an attempt to formulate the process of customer engagement through social media channels and to find out its relationship with various antecedents and consequences. This study will enhance the understanding of the concept with better conceptual framework and give insights to marketing managers to make their marketing strategies in social media.
    Keywords: Brand Attitude; Brand Communities; Customer Engagement; Perceived Risk; Post-Purchase Behaviour; Social Media.