IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v67y2016i1p134-147.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.23366
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. Pushpa Rani, 2019. "Strategy Implementation in Organizations: A Conceptual Overview," Management, University of Primorska, Faculty of Management Koper, vol. 14(3), pages 205-218.
    14. 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.
    15. 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.
    16. 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.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:67:y:2016:i:1:p:134-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.