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Identifying and bridging networks in regional clusters

Author

Listed:
  • Kajikawa, Yuya
  • Mori, Junichiro
  • Sakata, Ichiro

Abstract

Networks within an organization and also among organizations are expected to work as conduits of resources and knowledge for innovation. Previous papers have shown that dense networks are closely related with innovation performance. Tight relationships in a close knit group foment trust among actors in the network and therefore promote collaborations, and diverse connections with the others can open an opportunity for breakthrough. In this paper, we quantitatively evaluate the network structure of an industrial cluster and compare its results with that of a field study, and found that firms in the cluster do not regard it as dense, which means that there are opportunities even in the densest network. This is because it is not so easy to look for business partners beyond a company's current partnerships while tight communication exists among firms having partnerships. Therefore, we propose a system of finding a plausible business partner to span the current boundary and to support the networking.

Suggested Citation

  • Kajikawa, Yuya & Mori, Junichiro & Sakata, Ichiro, 2012. "Identifying and bridging networks in regional clusters," Technological Forecasting and Social Change, Elsevier, vol. 79(2), pages 252-262.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:2:p:252-262
    DOI: 10.1016/j.techfore.2011.04.009
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    Citations

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    Cited by:

    1. Lau, Antonio K.W. & Lo, William, 2015. "Regional innovation system, absorptive capacity and innovation performance: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 99-114.
    2. Yi Zuo & Yuya Kajikawa, 2017. "An Exploratory Look at Supply Chains in Japan from Multiscale Network Perspectives," The Review of Socionetwork Strategies, Springer, vol. 11(2), pages 111-128, December.
    3. Wardhana, Dadan & Ihle, Rico & Heijman, Wim, 2015. "The Effects of Agro-clusters on Rural Poverty:A Spatial Perspective for West Java of Indonesia," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212683, European Association of Agricultural Economists.
    4. Scaringella, Laurent & Radziwon, Agnieszka, 2018. "Innovation, entrepreneurial, knowledge, and business ecosystems: Old wine in new bottles?," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 59-87.
    5. Hervas Oliver,Jose Luis & Gonzalez,Gregorio & Caja,Pedro, 2014. "Clusters and industrial districts: where is the literature going? Identifying emerging sub-fields of research," INGENIO (CSIC-UPV) Working Paper Series 201409, INGENIO (CSIC-UPV).
    6. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.
    7. Shao, Bohua & Asatani, Kimitaka & Sasaki, Hajime & Sakata, Ichiro, 2021. "Categorization of mergers and acquisitions using transaction network features," Research in International Business and Finance, Elsevier, vol. 57(C).
    8. Min, Sujin & Kim, Juseong & Sawng, Yeong-Wha, 2020. "The effect of innovation network size and public R&D investment on regional innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

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