Innovation, Learning and Cluster Dynamics
AbstractThis chapter offers a theory and an analytical framework for the analysis of cluster dynamics, i.e. the innovative performance and evolution of clusters.It develops three types of embedding: institutional embedding, structural embedding (network structure), and relational embedding (type and strength of ties).The analysis is conducted from a perspective of both competence (learning) arising from relations and governance of relational risk, which includes risk of lock-in and risk of spillover.A basic proposition is that innovative clusters face the challenge of combining exploration and exploitation.Hypotheses are specified concerning differences between networks for exploration and exploitation, and concerning combinations and transitions between them.Arguments are presented that in some important respects go against the thesis of the strength of weak ties .Some empirical evidence is presented from recent studies.
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Bibliographic InfoPaper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2005-44.
Date of creation: 2005
Date of revision:
Contact details of provider:
Web page: http://center.uvt.nl
innovation; organizational learning; clusters; industrial districts; networks;
Other versions of this item:
- Nooteboom, B., 2004. "Innovation, learning and cluster dynamics," ERIM Report Series Research in Management ERS-2004-006-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
- L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-04-09 (All new papers)
- NEP-ENT-2005-04-09 (Entrepreneurship)
- NEP-INO-2005-04-09 (Innovation)
- NEP-NET-2005-04-09 (Network Economics)
- NEP-TID-2005-04-09 (Technology & Industrial Dynamics)
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.:
- Asheim, Bjorn T & Isaksen, Arne, 2002. " Regional Innovation Systems: The Integration of Local 'Sticky' and Global 'Ubiquitous' Knowledge," The Journal of Technology Transfer, Springer, vol. 27(1), pages 77-86, January.
- Williamson, Oliver E, 1993. "Calculativeness, Trust, and Economic Organization," Journal of Law and Economics, University of Chicago Press, vol. 36(1), pages 453-86, April.
- Ron A. Boschma, 2002. "Knowledge, Market Structure, and Economic Coordination: Dynamics of Industrial Districts," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 33(3), pages 291-311.
- Wuyts, S.H.K. & Colombo, M.G. & Dutta, S. & Nooteboom, B., 2004.
"Empirical Tests Of Optimal Cognitive Distance,"
ERIM Report Series Research in Management
ERS-2004-007-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
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