Social Network Analysis

David J. Dekker; Paul H. J. Hendriks

doi:10.4018/978-1-59904-933-5.ch171

Social Network Analysis

David J. Dekker, Paul H. J. Hendriks

School of Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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.

Original language	English
Title of host publication	Knowledge Management
Subtitle of host publication	Concepts, Methodologies, Tools, and Applications
Publisher	IGI Global
Pages	2060-2069
Number of pages	10
ISBN (Electronic)	9781599049342
ISBN (Print)	9781599049335
DOIs	https://doi.org/10.4018/978-1-59904-933-5.ch171
Publication status	Published - 2008

ASJC Scopus subject areas

General Economics,Econometrics and Finance
General Business,Management and Accounting
General Arts and Humanities
General Social Sciences

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10.4018/978-1-59904-933-5.ch171

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Social Network Analysis

Abstract

ASJC Scopus subject areas

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