IDEAS home Printed from https://ideas.repec.org/a/igg/jbir00/v9y2018i1p53-63.html
   My bibliography  Save this article

Analyzing Business Intelligence Systems Based on 7s Model of McKinsey

Author

Listed:
  • Amin A. Shaqrah

    (College of Business Administration, Taibah University, Medina, Saudi Arabia)

Abstract

Business intelligence system (BIS) reflect on the foundation of completive advantage approaches, this article enhances previous articles of BIS implementation by analyzing a 7 McKinsey model. Using a Delphi survey method with sixty of managers and experts in the BIS field, the results from twenty pharmaceutical manufacturing industries deploying business intelligence applications are presented. The author surveyed a qualitative methodology to hypothesize a proposed model. The findings demonstrated that 80% of participants believe that both the hard and soft 7 dimensions of a McKinsey model—strategy, style, structure, staff, systems, skills, and shared values—are antecedents for successful BIS implementation. Precisely, shared value dimensions is the highest value affected by BIS implementation and skills dimension is the lowest value.

Suggested Citation

  • Amin A. Shaqrah, 2018. "Analyzing Business Intelligence Systems Based on 7s Model of McKinsey," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 9(1), pages 53-63, January.
  • Handle: RePEc:igg:jbir00:v:9:y:2018:i:1:p:53-63
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBIR.2018010104
    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:9:y:2018:i:1:p:53-63. 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.