Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/25722
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dc.contributor.authorFritsch, Michaelen_US
dc.contributor.authorKauffeld-Monz, Martinaen_US
dc.date.accessioned2008-07-01en_US
dc.date.accessioned2009-07-27T09:40:38Z-
dc.date.available2009-07-27T09:40:38Z-
dc.date.issued2008en_US
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_US
dc.language.isoengen_US
dc.publisher|aUniversität Jena und Max-Planck-Institut für Ökonomik|cJenaen_US
dc.relation.ispartofseries|aJena economic research papers|x2008,036en_US
dc.subject.jelD83en_US
dc.subject.jelD85en_US
dc.subject.jelL14en_US
dc.subject.jelO32en_US
dc.subject.keywordRegional innovation networksen_US
dc.subject.keywordR&D-collaborationen_US
dc.subject.keywordknowledge exchangeen_US
dc.subject.keywordsocial network analysisen_US
dc.subject.keywordstrong tiesen_US
dc.subject.keywordknowledge brokersen_US
dc.subject.stwForschungskooperationen_US
dc.subject.stwWissenstransferen_US
dc.subject.stwSoziales Netzwerken_US
dc.subject.stwInformationsvermittlungen_US
dc.subject.stwInnovationen_US
dc.subject.stwRegionen_US
dc.subject.stwDeutschlanden_US
dc.titleThe impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networksen_US
dc.type|aWorking Paperen_US
dc.identifier.ppn570987695en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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