The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks
AbstractWe 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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Bibliographic InfoArticle provided by Springer in its journal The Annals of Regional Science.
Volume (Year): 44 (2010)
Issue (Month): 1 (February)
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- Michael Fritsch & Martina Kauffeld-Monz, 2008. "The impact of network structure on knowledge transfer: An application of social network analysis in the context of regional innovation networks," Jena Economic Research Papers 2008-036, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
- L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
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