Knowledge management tutorial: An editorial overview

被引：46

作者：

Satyadas, A ^{[1
]}

Harigopal, U

Cassaigne, NP

机构：

[1] IBM Corp, Cambridge, MA 02142 USA

[2] JP Morgan Chase & Co, New York, NY 10260 USA

[3] Univ Manchester, Inst Sci & Technol, Dept Computaton Dtg, Manchester M60 1QD, Lancs, England

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS | 2001年 / 31卷 / 04期

基金：

英国工程与自然科学研究理事会;

关键词：

agents; collaboration; communities; e-learning; knowledge management (KM); maturity model; neural networks (NNs); portal; social capital;

D O I：

10.1109/5326.983926

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a tutorial on knowledge management (KM) and a roadmap of this special issue around the knowledge life cycle. Knowledge management is a discipline that provides strategy, process, and technology to share and leverage information and expertise that will increase our level of understanding, to more effectively solve problems, and make decisions. We address three key views: 1) codification: tacit and explicit knowledge types; 2) various knowledge environments; and 3) cognitive aspects, followed by detailed descriptions of features and technology, and how this capability is being leveraged in forward looking organizations.

引用

页码：429 / 437

页数：9

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