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

Michael Fritsch () and Martina Kauffeld-Monz

No 2008-036, Jena Economics Research Papers from Friedrich-Schiller-University Jena

Abstract: 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.

Keywords: Regional innovation networks; R+D-collaboration; knowledge exchange; social network analysis; strong ties; knowledge brokers (search for similar items in EconPapers)
JEL-codes: D83 D85 L14 O32 (search for similar items in EconPapers)
Date: 2008-05-06
New Economics Papers: this item is included in nep-cse, nep-geo, nep-ino, nep-ipr, nep-pr~, nep-knm, nep-mic, nep-net, nep-soc and nep-ure
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Citations: View citations in EconPapers (20)

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Journal Article: The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks (2010)
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