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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Volume (Year): 44 (2010)
Issue (Month): 1 (February)
Pages: 21-38
| Handle: | RePEc:spr:anresc:v:44:y:2010:i:1:p:21-38 |
| DOI: | 10.1007/s00168-008-0245-8 |
| Contact details of provider: | Web page: http://www.springer.com Web page: http://www.wrsaonline.org/newsite/
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| Order Information: | Web: http://link.springer.com/journal/168 |
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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