A Knowledge Management System to Identify Crucial Knowledge
In this paper we present a Multicriteria Classification Methodology for designing a knowledge management system for identifying and evaluating crucial knowledge. We aim to identify, on the one hand, the explicit and tacit crucial knowledge to be preserved in the corporate memory, and on the other hand the tacit knowledge that is hard to formalize. This methodology is based on three phases. In the first phase, we have identified the set of Reference Crucial Knowledge (RCK). During the second phase, a preference model, which is a set of “if…then…” decision rules, is inferred from exemplary assignment of some RCK to two decision classes: Cl1 “non Crucial Knowledge” and Cl2 “Crucial knowledge”. In the third phase, a multicriteria classification of Potential Crucial Knowledge (PCK) is performed on the basis of the decision rules that have been collectively identified by the decision makers. The usefulness of this approach is illustrated through a real-life example.
Keywords: Knowledge Management, Crucial Knowledge, Knowledge Management System, Capitalizing Knowledge
Dr. Ines Saad
Assistant Professor, LaRIA-UPJV