A decision support for identifying crucial knowledge requiring capitalizing operation

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 pr...

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Veröffentlicht in:European journal of operational research 2009-06, Vol.195 (3), p.889-904
Hauptverfasser: Saad, Inès, Chakhar, Salem
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container_title European journal of operational research
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creator Saad, Inès
Chakhar, Salem
description 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.
doi_str_mv 10.1016/j.ejor.2007.11.021
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subjects Artificial Intelligence
Automobile industry
Computer Science
Crucial knowledge
Decision making
Decision support system
Decision support systems
Knowledge
Knowledge capitalizing
Knowledge capitalizing Multi-criteria classification Crucial knowledge Decision support system
Multi-criteria classification
Multiple criteria decision making
Studies
title A decision support for identifying crucial knowledge requiring capitalizing operation
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