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An Anatomy of Bengaluru's ICT Cluster: A Community Detection Approach

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  • Turkina, Ekaterina
  • Van Assche, Ari

Abstract

We use community detection analysis to investigate the structure of Bengaluru's ICT cluster's inter-organizational network during the period 2015–2017. Building on the knowledge sourcing literature, we conjecture that cluster firms primarily build knowledge-seeking horizontal linkages with technologically similar companies, and that this splits the network into multiple technological communities within which firms are tightly connected, but between which linkages are scarce. We further propose that community-spanning firms which build horizontal linkages that bridge technological communities are more likely to conduct radical innovation than their peers. We finally argue that no relation exists between technological proximity and community formation in the network of vertical buyer-supplier relations. Using a voltage-based algorithm for community discovery, we draw empirical support for these predictions. We discuss the implications of our findings for Bengaluru's upgrading potential.

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  • Turkina, Ekaterina & Van Assche, Ari, 2019. "An Anatomy of Bengaluru's ICT Cluster: A Community Detection Approach," Management and Organization Review, Cambridge University Press, vol. 15(3), pages 533-561, September.
    • Handle: RePEc:cup:maorev:v:15:y:2019:i:03:p:533-561_00
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    Cited by:

    1. Yang Gao, 2022. "The Belt and Road Initiative and cascading innovation in China’s domestic railway ecosystem," Journal of International Business Policy, Palgrave Macmillan, vol. 5(2), pages 236-258, June.
    2. Ekaterina Turkina & Boris Oreshkin, 2021. "The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    3. Kapturkiewicz, Agata, 2022. "Varieties of Entrepreneurial Ecosystems: A comparative study of Tokyo and Bangalore," Research Policy, Elsevier, vol. 51(9).

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