IDEAS home Printed from https://ideas.repec.org/a/ids/ijiscm/v9y2017i1p22-43.html
   My bibliography  Save this article

Critical success factors for business intelligence system implementation in public sector organisation

Author

Listed:
  • Samaneh Salehi Nasab
  • Farhang Jaryani
  • Harihodin Bin Selamat
  • Maslin Masrom

Abstract

Business intelligence (BI) system offers competitive advantages to public organisations by gathering, storing and analysing large volume of data for effective decision making. Although, the rate of BI implementation within public sector organisations is increasing, still some of the BI implementation projects fail. Hence, this study aims to investigate the critical success factors (CSFs), which affect the success of BI system implementation in public sector organisations. This study structures previous research by presenting a comprehensive classification of CSFs in the area of BI system implementation success. The review of the literature identifies the large number of CSFs for BI success mostly related to private sector organisations. Moreover, prior studies indicate that there has not been enough research on impact of culture on success of BI system implementation. Finally, the main finding of this study revealed achieving success in BI system implementation in public sector organisation is associated with four factors namely culture of learning, decision-making culture, information sharing culture and collaboration culture under culture dimension.

Suggested Citation

  • Samaneh Salehi Nasab & Farhang Jaryani & Harihodin Bin Selamat & Maslin Masrom, 2017. "Critical success factors for business intelligence system implementation in public sector organisation," International Journal of Information Systems and Change Management, Inderscience Enterprises Ltd, vol. 9(1), pages 22-43.
    • Handle: RePEc:ids:ijiscm:v:9:y:2017:i:1:p:22-43
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=86210
    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. 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).

    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:ids:ijiscm:v:9:y:2017:i:1:p:22-43. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=79 .

    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.