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Innovation, learning and cluster dynamics

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  • Nooteboom, B.
Abstract
This chapter offers a theory and method for the analysis of the dynamics, i.e. the development, of clusters for innovation. It employs an analysis of three types of embedding: institutional embedding, which is often localized, structural embedding (network structure), and relational embedding (type and strength of ties). The analysis is conducted from a perspective of both competence (learning) and the governance of relational risk, which includes risks of dependence and spillover. It employs results from earlier research in organizational learning and innovation, and in the management of inter-organizational relations. 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.

Suggested Citation

  • 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 University Rotterdam.
    • Handle: RePEc:ems:eureri:1125
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    References listed on IDEAS

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    1. Wuyts, Stefan & Colombo, Massimo G. & Dutta, Shantanu & Nooteboom, Bart, 2005. "Empirical tests of optimal cognitive distance," Journal of Economic Behavior & Organization, Elsevier, vol. 58(2), pages 277-302, October.
    2. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    3. 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.
    4. Richard A. Bettis & C. K. Prahalad, 1995. "The dominant logic: Retrospective and extension," Strategic Management Journal, Wiley Blackwell, vol. 16(1), pages 5-14.
    5. Ron A. Boschma & Jan G. Lambooy, 2002. "Knowledge, Market Structure, and Economic Coordination: Dynamics of Industrial Districts," Growth and Change, Wiley Blackwell, vol. 33(3), pages 291-311.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Jukka TERÄS & Alexandre DUBOIS & JENS SÖRVIK & MARTINA PERTOLDI, 2015. "Implementing Smart Specialisation in Sparsely Populated Areas," JRC Research Reports JRC98691, Joint Research Centre.
    2. Tom Broekel & Martin Binder, 2007. "The Regional Dimension of Knowledge Transfers—A Behavioral Approach," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 151-175.
    3. PETRE Adriana, 2020. "Resilience In Clusters: An Application Of The Cluster Bridge Model To Life Science Nord (Germany)," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 72(3), pages 75-95, November.
    4. Umut Yılmaz Çetinkaya & Erkan Erdil, 2016. "Cohesion and Competition of Europe: Innovation Policy from the Perspective of Networks and Entropy," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(4 (eng)), pages 7-24.
    5. Jérôme Vicente & Pierre-Alexandre Balland & Olivier Brossard, 2008. "Getting Into Networks and Clusters: Evidence on the GNSS composite knowledge process in (and from) Midi-Pyrénées," Papers in Evolutionary Economic Geography (PEEG) 0815, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2008.
    6. Umut Yilmaz Cetinkaya & Erkan Erdil, 2015. "Cohesion and Competition of Europe: Policy Suggestions from The Perspective of Network and Entropy," STPS Working Papers 1505, STPS - Science and Technology Policy Studies Center, Middle East Technical University, revised Dec 2015.
    7. Rani Jeanne Dang & Catherine Thomas, 2012. "Les mécanismes qui sous-tendent les dynamiques territoriales d'innovation ou le rôle caché des connaissances architecturales," Post-Print halshs-00727539, HAL.
    8. Sören Eriksson, 2011. "Promotion of Company and Local Economic Growth through Clusters," Chapters, in: Charlie Karlsson & Robert G. Picard (ed.), Media Clusters, chapter 2, Edward Elgar Publishing.

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    More about this item

    Keywords

    clusters; industrial districts; innovation; networks; organizational learning;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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