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A decision support for identifying crucial knowledge requiring capitalizing operation

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  • Saad, Inès
  • Chakhar, Salem

Abstract

Capitalizing on the company's crucial knowledge is an important operation for company's success. The first step in knowledge capitalizing is to identify the crucial knowledge for which capitalizing operation is required. The crucial knowledge identification is an ill-structured and multi-criteria problem. In this paper, the crucial knowledge identification problem is structured according to the well-known Simon's decision making process. Then, a decision support system (DSS), called K-DSS, is developed to support this decision process. The main objectives of this paper are to introduce the crucial knowledge identification decision process, to present the conceptual and functional architectures of K-DSS and to illustrate its utility through a real-world case study conducted in an automobile company.

Suggested Citation

  • Saad, Inès & Chakhar, Salem, 2009. "A decision support for identifying crucial knowledge requiring capitalizing operation," European Journal of Operational Research, Elsevier, vol. 195(3), pages 889-904, June.
    • Handle: RePEc:eee:ejores:v:195:y:2009:i:3:p:889-904
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    References listed on IDEAS

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    8. Grundstein, Michel & Rosenthal-Sabroux, Camille & Pachulski, Alexandre, 2003. "Reinforcing decision aid by capitalizing on company's knowledge: Future prospects," European Journal of Operational Research, Elsevier, vol. 145(2), pages 256-272, March.
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    Cited by:

    1. Rotaru Ionela Magdalena & Borza Sorin, 2014. "Conception And Fabrication In Automotive Industry Using Knowledge Management Principles," Balkan Region Conference on Engineering and Business Education, Sciendo, vol. 1(1), pages 359-364, August.
    2. Imène Brigui-Chtioui & Inès Saad, 2011. "A Multiagent Approach for Collective Decision Making in Knowledge Management," Group Decision and Negotiation, Springer, vol. 20(1), pages 19-37, January.
    3. Dhaoui, Elwardi, 2012. "Cognitive Capitalism: Foundations, Assessment and Evaluation of New Perspectives," MPRA Paper 63688, University Library of Munich, Germany.
    4. Chakhar, Salem & Ishizaka, Alessio & Labib, Ashraf & Saad, Inès, 2016. "Dominance-based rough set approach for group decisions," European Journal of Operational Research, Elsevier, vol. 251(1), pages 206-224.

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