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Does collective learning in clusters contribute to innovation?


  • Anja Cotic-Svetina
  • Marko Jaklic
  • Igor Prodan


This paper explores the phenomenon of collective learning in the context of clusters, and investigates how collective learning contributes to the innovation performance of cluster firms. Collective learning is an interactive process of accumulating knowledge from different local resources. The process is made possible through several channels. Analysing data collected from 290 cluster firms, we identified three collective learning channels: interaction with local firms, interaction with local institutions, and interaction with the local labour market. Additionally, we tested how these channels contribute to innovation performance of cluster firms. The results reveal that local labour is positively related to innovation performance, while indicating that interaction with local firms is negatively related to innovation performance. The conclusions discuss the policy implications of these findings. Copyright , Beech Tree Publishing.

Suggested Citation

  • Anja Cotic-Svetina & Marko Jaklic & Igor Prodan, 2008. "Does collective learning in clusters contribute to innovation?," Science and Public Policy, Oxford University Press, vol. 35(5), pages 335-345, June.
  • Handle: RePEc:oup:scippl:v:35:y:2008:i:5:p:335-345

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    References listed on IDEAS

    1. Edler, Jakob & Georghiou, Luke, 2007. "Public procurement and innovation--Resurrecting the demand side," Research Policy, Elsevier, vol. 36(7), pages 949-963, September.
    2. Theodoros Papaioannou & Howard Rush & John Bessant, 2006. "Benchmarking as a policy-making tool: From the private to the public sector," Science and Public Policy, Oxford University Press, vol. 33(2), pages 91-102, March.
    3. Mytelka, Lynn K. & Smith, Keith, 2002. "Policy learning and innovation theory: an interactive and co-evolving process," Research Policy, Elsevier, vol. 31(8-9), pages 1467-1479, December.
    4. Cohendet, Patrick & Steinmueller, W Edward, 2000. "The Codification of Knowledge: A Conceptual and Empirical Exploration," Industrial and Corporate Change, Oxford University Press, vol. 9(2), pages 195-209, June.
    5. Cowan, Robin & David, Paul A & Foray, Dominique, 2000. "The Explicit Economics of Knowledge Codification and Tacitness," Industrial and Corporate Change, Oxford University Press, vol. 9(2), pages 211-253, June.
    6. Benezech, Daniele & Lambert, Gilles & Lanoux, Blandine & Lerch, Christophe & Loos-Baroin, Jocelyne, 2001. "Completion of knowledge codification: an illustration through the ISO 9000 standards implementation process," Research Policy, Elsevier, vol. 30(9), pages 1395-1407, December.
    7. Cohendet, Patrick & Meyer-Krahmer, Frieder, 2001. "The theoretical and policy implications of knowledge codification," Research Policy, Elsevier, vol. 30(9), pages 1563-1591, December.
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    Cited by:

    1. Karla Paola Jiménez Almaguer. & José Melchor Medina Quintero. & Nazlhe Faride Cheín Schekaibán, 2013. "The search for the development of clusters in Tamaulipas, Mexico: A case study," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 39(2), pages 89-117, Julio-Dic.
    2. Bjørn T. Asheim & Bernd Ebersberger & Sverre J. Herstad, 2012. "MNCs between the Local and the Global: Knowledge Bases, Proximity and Distributed Knowledge Networks," Chapters,in: Innovation and Institutional Embeddedness of Multinational Companies, chapter 4 Edward Elgar Publishing.
    3. Christopher Williams & Juana Du, 2014. "The impact of trust and local learning on the innovative performance of MNE subsidiaries in China," Asia Pacific Journal of Management, Springer, vol. 31(4), pages 973-996, December.
    4. Dankwart, Saskia & David, Alexandra, 2011. "Die Rolle von Netzwerken bei der Sicherung und Gewinnung von Fachkräften," Forschung Aktuell 09/2011, Institut Arbeit und Technik (IAT), Westfälische Hochschule, University of Applied Sciences.

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