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

被引：0
|
作者：
Michael Fritsch
Martina Kauffeld-Monz
机构：
[1] Friedrich Schiller University Jena,
[2] German Institute for Economic Research (DIW-Berlin) and Max Planck Institute of Economics,undefined
[3] Institute for Urban Research and Structural Policy (IfS,undefined
[4] Berlin),undefined
来源：
The Annals of Regional Science | 2010年 / 44卷
关键词：
D83; D85; L14; O32;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
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页码：21 / 38
页数：17
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