Article ID: | iaor19992815 |
Country: | Netherlands |
Volume: | 109 |
Issue: | 2 |
Start Page Number: | 414 |
End Page Number: | 427 |
Publication Date: | Sep 1998 |
Journal: | European Journal of Operational Research |
Authors: | Rosenthal-Sabroux Camille, Barthelm Franoise, Ermine Jean-Louis |
Methodology for Knowledge System Management is a methodology, based on modelling techniques, to support knowledge capitalisation and management. This kind of approach faces a new challenge: knowledge evolution. Indeed, as knowledge of the organisation evolves, it seems necessary to have models and supporting tools to represent this evolution. Biologic evolution theories can offer the basis of a dynamic theory of Knowledge System evolution. We especially propose to adapt Lamarckism's principles and the Cladistic classification to support such a modelling and propose a conceptual architecture for managing knowledge evolution.