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.

MoreLess

Year of publication:	2008
Authors:	Fritsch, Michael ; Kauffeld-Monz, Martina
Publisher:	Jena : Friedrich Schiller University Jena and Max Planck Institute of Economics
Subject:	Forschungskooperation \| Wissenstransfer \| Soziales Netzwerk \| Informationsvermittlung \| Innovation \| Region \| Deutschland \| Regional innovation networks \| R&D-collaboration \| knowledge exchange \| social network analysis \| strong ties \| knowledge brokers

freely available

Full text |

More access options

Check Google Scholar

In German libraries (KVK)

I need help

More details

Series:	Jena Economic Research Papers ; 2008,036
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	570987695 [GVK] hdl:10419/25722 [Handle]
Classification:	D83 - Search, Learning, Information and Knowledge ; D85 - Network Formation ; L14 - Transactional Relationships; Contracts and Reputation; Networks ; O32 - Management of Technological Innovation and R&D
Source:	EconStor

Persistent link: https://www.econbiz.de/10010263880