Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/25722 
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dc.contributor.authorFritsch, Michaelen
dc.contributor.authorKauffeld-Monz, Martinaen
dc.date.accessioned2008-07-01-
dc.date.accessioned2009-07-27T09:40:38Z-
dc.date.available2009-07-27T09:40:38Z-
dc.date.issued2008-
dc.identifier.urihttp://hdl.handle.net/10419/25722-
dc.description.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.en
dc.language.isoengen
dc.publisher|aFriedrich Schiller University Jena and Max Planck Institute of Economics |cJenaen
dc.relation.ispartofseries|aJena Economic Research Papers |x2008,036en
dc.subject.jelD83en
dc.subject.jelD85en
dc.subject.jelL14en
dc.subject.jelO32en
dc.subject.ddc330en
dc.subject.keywordRegional innovation networksen
dc.subject.keywordR&D-collaborationen
dc.subject.keywordknowledge exchangeen
dc.subject.keywordsocial network analysisen
dc.subject.keywordstrong tiesen
dc.subject.keywordknowledge brokersen
dc.subject.stwForschungskooperationen
dc.subject.stwWissenstransferen
dc.subject.stwSoziales Netzwerken
dc.subject.stwInformationsvermittlungen
dc.subject.stwInnovationen
dc.subject.stwRegionen
dc.subject.stwDeutschlanden
dc.titleThe impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks-
dc.typeWorking Paperen
dc.identifier.ppn570987695en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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