The impact of network structure on knowledge transfer: An application of social network analysis in the context of regional innovation networks

We analyze information and knowledge transfer in a sample of 16 German regional innovation networks with almost 300 firms and research organizations involved. The results indicate that strong ties are more beneficial for the exchange of knowledge and information than weak ties. Moreover, our results suggest that broker positions tend to be associated with social returns rather than with private benefits.

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Year of publication:	2008-05-06
Authors:	Fritsch, Michael ; Kauffeld-Monz, Martina
Institutions:	Wirtschaftswissenschaftliche Fakultät, Friedrich-Schiller-Universität Jena
Subject:	Regional innovation networks \| R+D-collaboration \| knowledge exchange \| social network analysis \| strong ties \| knowledge brokers

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Extent:	application/pdf
Series:	Jena Economic Research Papers.
Type of publication:	Book / Working Paper
Notes:	Number 2008-036
Classification:	D83 - Search, Learning, Information and Knowledge ; D85 - Network Formation ; L14 - Transactional Relationships; Contracts and Reputation; Networks ; O32 - Management of Technological Innovation and R&D
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10004970282