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Networks and Rapid Technological Change: Novel Evidence from the Canadian Biotech Industry

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  • Namatie Traore

Abstract

Former studies on inter-organizational relationships have fallen short of properly identifying networks and elucidating factors that cause firms to entertain relationships in one type of network rather than another. This study adopts a methodology that is both empirical and comparative and thus constitutes a methodological departure from these previous studies. It also explicitly accounts for two structural characteristics of networks, namely, interactions and learning, to identify four types of networks, accumulative advantage networks, follow-the-trend networks, homophilies and multiconnectivity networks. It then investigates factors that cause firms to participate in any of these networks rather than another. Results show that even though networking is a common practice among biotech firms, most of them would rather keep this activity to a minimum. In addition, participation in these networks is found to vary according to the firm's size, stage of development and its sector of activity.

Suggested Citation

  • Namatie Traore, 2006. "Networks and Rapid Technological Change: Novel Evidence from the Canadian Biotech Industry," Industry and Innovation, Taylor & Francis Journals, vol. 13(1), pages 41-68.
    • Handle: RePEc:taf:indinn:v:13:y:2006:i:1:p:41-68
    DOI: 10.1080/13662710500513425
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    References listed on IDEAS

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    1. Alex Hoen, 2001. "Clusters: Determinants and Effects," CPB Memorandum 17.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Alex Hoen, 2001. "Clusters: Determinants and Effects," CPB Memorandum 17, CPB Netherlands Bureau for Economic Policy Analysis.
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