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A decision support for identifying crucial knowledge requiring capitalizing operation

Chakhar, Salem; Saad, Inès (2009), A decision support for identifying crucial knowledge requiring capitalizing operation, European Journal of Operational Research, 195, 3, p. 889-904. http://dx.doi.org/10.1016/j.ejor.2007.11.021

Type
Article accepté pour publication ou publié
Date
2009
Journal name
European Journal of Operational Research
Volume
195
Number
3
Publisher
Elsevier
Pages
889-904
Publication identifier
http://dx.doi.org/10.1016/j.ejor.2007.11.021
Metadata
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Author(s)
Chakhar, Salem
Saad, Inès
Abstract (EN)
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.
Subjects / Keywords
Knowledge capitalizing; Multi-criteria classification; crucial knowledge; Decision support system
JEL
C44 - Operations Research; Statistical Decision Theory
D83 - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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