Fulltext present in this item

Thumbnail
Fulltext: 95416.pdf
Format: PDF
Description: publisher's version
Embargo: until further notice
Title: Social Network Analysis
Author(s): Dekker, D.J. ; Hendriks, P.H.J.
Publication year: 2011
In: Schwartz, D.; Te'eni, D. (ed.), Encyclopedia of Knowledge Management: Second edition, pp. 1460-1469
Publisher: Hershey : Idea Group Publishing
ISBN: 9781599049311
Publication type: Part of book or chapter of book

Please use this identifier to cite or link to this item : http://hdl.handle.net/2066/95416   http://hdl.handle.net/2066/95416

Display more details
Editor(s): Schwartz, D.; Te'eni, D.
Subject: Responsible Organization
Organization: Marketing - t/m 2007
Organisatie-ontwikkeling
Book title: Schwartz, D.; Te'eni, D. (ed.), Encyclopedia of Knowledge Management: Second edition
Page start: p. 1460
Page end: p. 1469
Abstract:
In knowledge management (KM), one perspective is that knowledge resides in individuals who interact in groups. Concepts as communities-of-practice, knowledge networks, and “encultured knowledge” as the outcome of shared sense-making (Blackler, 1995) are built upon this perspective. Social network analysis focuses on the patterns of people’s interactions. This adds to KM theory a dimension that considers the effects of social structure on for example, knowledge creation, retention and dissemination. This article provides a short overview of consequences of social network structure on knowledge processes and explores how the insights generated by social network analysis are valuable to KM as diagnostic elements for drafting KM interventions. Relevance is apparent for management areas such as R&D alliances, product development, project management, and so forth.

This item appears in the following Collection(s)

Browse

Statistics