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Knowledge exchange and innovation in clusters: a dynamic social network analysis

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  • Fernando G. Alberti
  • Federica Belfanti
  • Jessica D. Giusti

Abstract

Innovation is deeply rooted in clusters and is strongly related to knowledge exchanges. In literature, scholars have started suggesting that innovation rates are expected to be higher in dynamic networks, where there is variation in roles and knowledge exchanges. This paper contributes to this debate by studying the correlation between knowledge exchange and innovation at the cluster level, with a dynamic view. Using dynamic social network analysis as a methodological approach and the literature on Collaborative Innovation Networks (COINs) and knowledge exchanges as the theoretical framework, we investigated how varying over time cluster members’ leadership role and contribution in the flow of knowledge benefit cluster-level innovation. We relied on data collected from a collaborative cluster-based platform, focusing on technological knowledge exchanges. Our findings indicate that there is a strong positive correlation between rotating leadership and innovation as well as between rotating contribution and innovation.

Suggested Citation

  • Fernando G. Alberti & Federica Belfanti & Jessica D. Giusti, 2021. "Knowledge exchange and innovation in clusters: a dynamic social network analysis," Industry and Innovation, Taylor & Francis Journals, vol. 28(7), pages 880-901, August.
    • Handle: RePEc:taf:indinn:v:28:y:2021:i:7:p:880-901
    DOI: 10.1080/13662716.2021.1904840
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    Cited by:

    1. Lis, Anna Maria & Mackiewicz, Marta, 2023. "The implementation of green transformation through clusters," Ecological Economics, Elsevier, vol. 209(C).
    2. Meihong Ke & Douglas Baker & Christy Collis, 2023. "Impact of Airports on Landside Industrial Development: A Case Study of Brisbane Airport," Land, MDPI, vol. 12(7), pages 1-20, June.
    3. Carmelina Bevilacqua & Poya Sohrabi & Nourhan Hamdy, 2022. "Spatializing Social Networking Analysis to Capture Local Innovation Flows towards Inclusive Transition," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    4. Joanna Kuczewska & Tomasz Tomaszewski, 2022. "Exploring potential drivers of innovation-related activities in Poland: evidence from Polish business clusters," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 775-801, September.

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