A Knowledge Management System to Identify Crucial Knowledge

To add a paper, Login.

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
Stream: Knowledge and Technology
Presentation Type: Paper Presentation in English
Paper: A paper has not yet been submitted.

Dr. Ines Saad

Assistant Professor, LaRIA-UPJV
Paris, France

Inès Saad is an associate professor in the department of Computer and Information System at Groupe Sup de Co Amiens Picardie since 2006. She is a researcher with the LARIA Laboratory at the University Picardie Jule-Verne. She obtained her Ph.D. in computer science from the university of Paris-Dauphine in 2005. From 2005 to 2006 she has been an assistant professor (ATER) at the university of Paris-Dauphine. From 2001 to 2004, she has been a research engineer in PSA Peugeot Citroën, a French car manufacturer. The focus of her research is on the identification and the mapping of crucial knowledge, and multiple criteria decision making. She is also interested in knowledge management, information system and multiple criteria decision making. She has several publications in international conferences and journals.

Ref: T08P0146