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.
|Date of creation:||06 May 2008|
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LIUC Papers in Economics
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"Contests for Cooperation: A New Approach in German Innovation Policy,"
Freiberg Working Papers
2005,03, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
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99027, Stanford University, Department of Economics.
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