IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00540288.html
   My bibliography  Save this paper

A Business Intelligence Model for SMEs Based on Tacit Knowledge

Author

Listed:
  • M. Sadok

    (ISET'COM - Institute of Technology in Communications - Université de Tunis)

  • H. Lesca

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique, UPMF - Université Pierre Mendès France - Grenoble 2)

Abstract

This paper proposes a specific model of business intelligence in relation with SMEs practices, culture and competitive environment. This model is based on the mobilization of corporate tacit knowledge and informal information, aiming at interpreting anticipatory environmental information and assist strategic decision making. An empirical survey assessing the existing business intelligence practices in 20 French SMEs has identified seven necessary acceptance conditions of a business intelligence project as well as a managerial tool allowing tacit knowledge traceability.

Suggested Citation

  • M. Sadok & H. Lesca, 2009. "A Business Intelligence Model for SMEs Based on Tacit Knowledge," Post-Print halshs-00540288, HAL.
  • Handle: RePEc:hal:journl:halshs-00540288
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00540288
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00540288/document
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Hanen Khanchel & Mohamed Afif Lakhoua & Karim Ben Kahla, 2018. "Operation of the Information Monitoring System for the Optimization of the Processing Time and the Dissemination of Financial Data," Business and Management Research, Business and Management Research, Sciedu Press, vol. 7(3), pages 1-9, September.
    2. 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.
    3. Serghie Dan & Balan Ana Maria, 2010. "Business Intelligence Systems in the business strategy - an approach to the Romanian reality," Studies and Scientific Researches. Economics Edition, "Vasile Alecsandri" University of Bacau, Faculty of Economic Sciences, issue 15.

    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:hal:journl:halshs-00540288. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.