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Does collective learning in clusters contribute to innovation?

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  • Anja Cotic-Svetina
  • Marko Jaklic
  • Igor Prodan

Abstract

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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    File URL: http://hdl.handle.net/10.3152/030234208X319357
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    Citations

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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. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2023. "Does context matter? Exploring the effects of productive structures on the relationship between innovation and workforce skills’ complementarity," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 1991-2011, June.
    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. Kostadinović Ivana & Jovanović Violeta & Stanković Sunčica, 2023. "Do Industrial Clusters Contribute to Organizations’ Innovation Performance? Path Analysis," Economic Themes, Sciendo, vol. 61(3), pages 387-406, September.
    5. 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.
    6. 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: Martin Heidenreich (ed.), Innovation and Institutional Embeddedness of Multinational Companies, chapter 4, Edward Elgar Publishing.
    7. Bjorn T. ASHEIM & Sverre J. HERSTAD, 2021. "Regional innovation strategy for resilience and transformative industrial path development: evolutionary theoretical perspectives on innovation policy," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 43-75, August.
    8. Lars Coenen & Bjørn Asheim & Markus M Bugge & Sverre J Herstad, 2017. "Advancing regional innovation systems: What does evolutionary economic geography bring to the policy table?," Environment and Planning C, , vol. 35(4), pages 600-620, June.
    9. Sverre J. Herstad, 2018. "Beyond ‘related variety’: how inflows of skills shape innovativeness in different industries," European Planning Studies, Taylor & Francis Journals, vol. 26(2), pages 396-420, February.
    10. Martin, Roman & Wiig Aslesen, Heidi & Grillitsch, Markus & Herstad, Sverre, 2017. "Regional Innovation Systems and Global Flows of Knowledge," Papers in Innovation Studies 2017/7, Lund University, CIRCLE - Centre for Innovation Research.
    11. Marco-Lajara, Bartolomé & Úbeda-García, Mercedes & Zaragoza-Sáez, Patrocinio del Carmen & García-Lillo, Francisco, 2022. "Agglomeration, social capital and interorganizational ambidexterity in tourist districts," Journal of Business Research, Elsevier, vol. 141(C), pages 126-136.
    12. Yongsheng, Xiang & Xiaolei, Zhang & Wei, Wu, 2021. "Coupling or lock-in? Co-evolution of cultural embeddness and cluster innovation-exploratory case study of Shaoxing textile cluster," Technology in Society, Elsevier, vol. 67(C).

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