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An integrated model for determining business intelligence systems adoption and post-adoption benefits in banking sector

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  • Owusu Acheampong

    (Limkokwing University of Creative Technology Cyberjaya, Malaysia)

  • Said Aiman Moyaid

    (Limkokwing University of Creative Technology Cyberjaya, Malaysia)

Abstract

Business Intelligence (BI) Systems have been theorized as providing immerse benefits to organizations that adopt them. These benefits include: improved customer satisfaction improved decision-making process, provision of faster and more accurate reporting, increased revenues and increased competitive advantage. However, there are limited studies on the factors affecting adoption and actual benefits accruing to organizations adopting the system. The main aim of this study is to develop an integrated model for determining BI System's adoption and post-adoption benefits in banking industry. The proposed model is an integration of the Diffusion of Innovations Theory (DOI), Technology-Organization-Environment (TOE) Framework, the Institutional Theory (INT), and Kaplan & Norton's Balance Scorecard (BSC). This model is different from other studies in the context of organizational adoption of BI Systems as it integrates the determinants, and evaluation of the benefits of the technology in one study. There is also a moderator Time since adoption which is used to moderate the impact of the extent of adoption to organizational performance.

Suggested Citation

  • Owusu Acheampong & Said Aiman Moyaid, 2016. "An integrated model for determining business intelligence systems adoption and post-adoption benefits in banking sector," Journal of Administrative and Business Studies, Professor Dr. Usman Raja, vol. 2(2), pages 85-101.
    • Handle: RePEc:apb:jabsss:2016:p:85-101
    DOI: 10.20474/jabs-2.2.4
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    References listed on IDEAS

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    Cited by:

    1. Remigiusz Tunowski, 2020. "Sustainability of Commercial Banks Supported by Business Intelligence System," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    2. repec:thr:techub:10010:y:2020:i:1:p:409-422 is not listed on IDEAS
    3. S Michel & A Michaud-Trévinal & F Cocula, 2019. "Net Impacts in Front Office IS: a First Operationalization of Delone and McLean Model in the Banking Sector," Post-Print hal-02467423, HAL.
    4. Mirjana Pejić Bach & Amir Topalović & Lejla Turulja, 2023. "Data mining usage in Italian SMEs: an integrated SEM-ANN approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(3), pages 941-973, September.
    5. 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.
    6. 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.
    7. Mahboobeh Golestanizadeh & Hadi Sarvari & Matteo Cristofaro & Daniel W. M. Chan, 2023. "Effect of Applying Business Intelligence on Export Development and Brand Internationalization in Large Industrial Firms," Administrative Sciences, MDPI, vol. 13(2), pages 1-13, January.

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