An architecture for knowledge evolution in organisations

被引:29
作者
Barthelme, F
Ermine, JL [1 ]
Rosenthal-Sabroux, C
机构
[1] CENS, CEA, Direct Informat Sci & Tech, F-91191 Gif Sur Yvette, France
[2] Univ Paris Dauphine, LAMSADE, F-75150 Paris, France
关键词
knowledge; evolution; evolution classification; knowledge management;
D O I
10.1016/S0377-2217(98)00067-8
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Methodology for Knowledge System Management (MKSM) 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. (C) 1998 Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码:414 / 427
页数:14
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