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Transferring Collective Knowledge: Collective and Fragmented Teaching and Learning in the Chinese Auto Industry

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Listed:
  • Jane Zhou
  • Jaideep Anand
  • Will Mitchell

Abstract

Collective knowledge, consisting of tacit group-embedded knowledge, is a key element of organizational capabilities. This study undertakes a multiple-case study of the transfer of collective knowledge, guided by a set of tentative constructs and propositions derived from organizational learning theory. By focusing on the group-embeddedness dimension of collective knowledge, we direct our attention to the source and recipient communities. We identify two sets of strategic choices concerning the transfer of collective knowledge: collective vs. fragmented teaching, and collective vs. fragmented learning. The empirical context of this study is international R&D capability transfer in the Chinese auto industry. From the case evidence, we find the expected benefits of collective teaching and collective learning, and also discover additional benefits of these two strategies, including the creation of a bridge network communication infrastructure. The study disclosed other conditions underlying the choice of strategies of transferring collective knowledge, including transfer effort and the level of group-embeddedness of the knowledge to be taught or re-embedded. The paper provides a group-level perspective in understanding organizational capabilities, as well as a set of refined constructs and propositions concerning strategic choices of transferring collective knowledge. The study also provides a rich description of the best practices and lessons learned in transferring organizational capabilities.

Suggested Citation

  • Jane Zhou & Jaideep Anand & Will Mitchell, 2001. "Transferring Collective Knowledge: Collective and Fragmented Teaching and Learning in the Chinese Auto Industry," William Davidson Institute Working Papers Series 420, William Davidson Institute at the University of Michigan.
    • Handle: RePEc:wdi:papers:2001-420
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    References listed on IDEAS

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    Keywords

    knowledge transfer; collective knowledge; organizational capabilities; R&D capabilities; organizational learning; network; China;
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