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Extending the understanding of critical success factors for implementing business intelligence systems

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  • William Yeoh
  • Aleš Popovič

Abstract

type="main"> Extant studies suggest implementing a business intelligence (BI) system is a costly, resource-intensive and complex undertaking. Literature draws attention to the critical success factors (CSFs) for implementation of BI systems. Leveraging case studies of seven large organizations and blending them with Yeoh and Koronios's (2010) BI CSFs framework, our empirical study gives evidence to support this notion of CSFs and provides better contextual understanding of the CSFs in BI implementation domain. Cross-case analysis suggests that organizational factors play the most crucial role in determining the success of a BI system implementation. Hence, BI stakeholders should prioritize on the organizational dimension ahead of other factors. Our findings allow BI stakeholders to holistically understand the CSFs and the associated contextual issues that impact on implementation of BI systems.

Suggested Citation

  • William Yeoh & Aleš Popovič, 2016. "Extending the understanding of critical success factors for implementing business intelligence systems," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 134-147, January.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:1:p:134-147
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    File URL: http://hdl.handle.net/10.1002/asi.23366
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    Cited by:

    1. Asma I. Magaireah* & HidayahSulaiman & Nor’ashikin Ali, 2019. "Identifying the Most Critical Factors to Business Intelligence Implementation Success in the Public Sector Organizations," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(2), pages 450-462, 02-2019.
    2. Mohammad Reza Seddigh & Sajjad Shokouhyar & Fatemeh Loghmani, 2023. "Approaching towards sustainable supply chain under the spotlight of business intelligence," Annals of Operations Research, Springer, vol. 324(1), pages 937-970, May.
    3. Božič, Katerina & Dimovski, Vlado, 2019. "Business intelligence and analytics for value creation: The role of absorptive capacity," International Journal of Information Management, Elsevier, vol. 46(C), pages 93-103.
    4. Omar Mohammed Zraqat, 2020. "The Moderating Role of Business Intelligence in the Impact of Big Data on Financial Reports Quality in Jordanian Telecom Companies," Modern Applied Science, Canadian Center of Science and Education, vol. 14(2), pages 1-71, February.
    5. Ashraf Labib & Salem Chakhar & Lorraine Hope & John Shimell & Mark Malinowski, 2022. "Analysis of noise and bias errors in intelligence information systems," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1755-1775, December.
    6. Carin Venter, 2019. "A Critical Systems Approach to Elicit User-Centric Business Intelligence Business Requirements," Systemic Practice and Action Research, Springer, vol. 32(5), pages 481-500, October.
    7. Merhi, Mohammad I., 2021. "Evaluating the critical success factors of data intelligence implementation in the public sector using analytical hierarchy process," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
    9. Danny Sittrop & Cheryl Crosthwaite, 2021. "Minimising Risk—The Application of Kotter’s Change Management Model on Customer Relationship Management Systems: A Case Study," JRFM, MDPI, vol. 14(10), pages 1-20, October.
    10. Fatih Gurcan & Ahmet Ayaz & Gonca Gokce Menekse Dalveren & Mohammad Derawi, 2023. "Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    11. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    12. 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.
    13. Sam Aubrey Fabian February, 2023. "A Business Intelligence Effectiveness Model: Enhancing Organizational Decision-Making Capability," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 14(1), pages 1-23, January.
    14. Placide Poba-Nzaou & Malatsi Galani & Chaima Aloui, 2022. "Business Intelligence Adoption and Implementation Risk in SMEs: Insights From an Empirical Study in Tunisia," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 13(1), pages 1-22, January.
    15. Pushpa Rani, 2019. "Strategy Implementation in Organizations: A Conceptual Overview," Management, University of Primorska, Faculty of Management Koper, vol. 14(3), pages 205-218.
    16. Appelbaum, Deniz & Kogan, Alexander & Vasarhelyi, Miklos & Yan, Zhaokai, 2017. "Impact of business analytics and enterprise systems on managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 29-44.
    17. Thamir Hamad Alaskar, 2023. "Innovation Capabilities as a Mediator between Business Analytics and Firm Performance," Sustainability, MDPI, vol. 15(6), pages 1-20, March.

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