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Investigating the Factors Affecting Business Intelligence Systems Adoption: A Case Study of Private Universities in Malaysia

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  • Acheampong Owusu

    (Limkokwing University of Creative Technology, Cyberjaya, Malaysia)

  • Abbas Ghanbari-Baghestan

    (University of Tehran, Department of Communication, Tehran, Iran)

  • Abdolhossein Kalantari

    (University of Tehran, Department of Sociology, Tehran, Iran)

Abstract

This study explores the factors influencing the adoption of Business Intelligence Systems (BIS) in Higher Educational Institutions (HEIs), and also evaluate the extent of adoption in the universities. A research framework was developed based on the Technology-Organization-Environment (TOE) framework and the Diffusion of Innovations (DOI) theory, comprising of ten factors which were hypothesized and tested for the adoption of BIS in HEIs. Data was collected through a paper survey questionnaire from a sample of 120 managers and academicians in twelve private universities in Selangor State, Malaysia which were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that Absorptive Capacity, Competitive Pressure, Complexity, IT Infrastructure, Presence of Champion, Top Management Support, and Vendor Selection, are the factors influencing BIS adoption in the universities. The results also indicate that most private universities in Malaysia are currently involved in level 2 of BIS adoption. Other implications are also discussed.

Suggested Citation

  • Acheampong Owusu & Abbas Ghanbari-Baghestan & Abdolhossein Kalantari, 2017. "Investigating the Factors Affecting Business Intelligence Systems Adoption: A Case Study of Private Universities in Malaysia," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 8(2), pages 1-25, April.
    • Handle: RePEc:igg:jtd000:v:8:y:2017:i:2:p:1-25
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    Cited by:

    1. Ana-Marija Stjepić & Mirjana Pejić Bach & Vesna Bosilj Vukšić, 2021. "Exploring Risks in the Adoption of Business Intelligence in SMEs Using the TOE Framework," JRFM, MDPI, vol. 14(2), pages 1-18, February.
    2. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Exploration of Influential Determinants for the Adoption of Business Intelligence System in the Textile and Apparel Industry," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    3. Remigiusz Tunowski, 2020. "Sustainability of Commercial Banks Supported by Business Intelligence System," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    4. Daha Tijjani Abdurrahaman & Acheampong Owusu & Akeem Soladoye Bakare & Adeyanju Apejoye & Muhammad Muhsin Ibrahim & Tijjani Habibu Ahmad, 2021. "Assessing the effects of Celebrity Endorsements of Political Parties: An empirical study of Nigerian 2019 Presidential Elections," Technium Social Sciences Journal, Technium Science, vol. 22(1), pages 676-699, August.
    5. Ivy Hawah Taana, 2020. "A Conceptual Framework on The Successful Adoption of Project Management Methodologies in Ghana," Technium Social Sciences Journal, Technium Science, vol. 10(1), pages 409-422, August.

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