IDEAS home Printed from https://ideas.repec.org/a/igg/jbir00/v4y2013i3p16-31.html
   My bibliography  Save this article

How Business Intelligence Creates Value: An Empirical Investigation

Author

Listed:
  • Nir Yogev

    (Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel)

  • Adir Even

    (Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel)

  • Lior Fink

    (Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel)

Abstract

This study examines the business value associated with business intelligence (BI) systems, based on the premise that business value is largely contingent on system type and its unique contribution. The study adopts a process-oriented approach to evaluating the value contribution of BI, arguing that it stems from improvements in business processes. The study develops and tests a research model that explains the unique mechanisms through which BI creates business value. The model draws on the resource-based view to identify key assets and capabilities that determine the impact of BI on business processes and, consequently, on organizational performance. Analysis of data collected from 159 managers and IT/BI experts, using structural equation modeling (SEM) techniques, shows that BI largely contributes to business value by improving both operational and strategic business processes.

Suggested Citation

  • Nir Yogev & Adir Even & Lior Fink, 2013. "How Business Intelligence Creates Value: An Empirical Investigation," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 4(3), pages 16-31, July.
    • Handle: RePEc:igg:jbir00:v:4:y:2013:i:3:p:16-31
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijbir.2013070102
    Download Restriction: no
    ---><---

    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:igg:jbir00:v:4:y:2013:i:3:p:16-31. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.