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Understanding innovation mechanism through the lens of communities of practice (COP)

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  • Ji, Hao
  • Sui, Ya-ting
  • Suo, Ling-ling

Abstract

A community of practice (COP) is an efficient and low cost route to promote innovation performance. However, there are few papers talking about the mechanism of the relationship between COP and innovation performance. Based on social capital theory, this paper analyzes the impacts that three dimensions of COP separately have on innovative performance through intermediary variables. We find relational capital and cognitive capital of COP have significant impact on innovation performance fully mediated by intellectual capital and psychological safety. Also structural capital of COP has positive influence on innovation performance partially mediated by intellectual capital and psychological safety. Finally, implications for companies are presented based on the findings.

Suggested Citation

  • Ji, Hao & Sui, Ya-ting & Suo, Ling-ling, 2017. "Understanding innovation mechanism through the lens of communities of practice (COP)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 205-212.
  • Handle: RePEc:eee:tefoso:v:118:y:2017:i:c:p:205-212
    DOI: 10.1016/j.techfore.2017.02.021
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    References listed on IDEAS

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    3. Akçomak, I. Semih & ter Weel, Bas, 2009. "Social capital, innovation and growth: Evidence from Europe," European Economic Review, Elsevier, vol. 53(5), pages 544-567, July.
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    5. Antonio Carmona-Lavado & Gloria Cuevas-Rodríguez & Carmen Cabello-Medina, 2013. "Service Innovativeness and Innovation Success in Technology-based Knowledge-Intensive Business Services: An Intellectual Capital Approach," Industry and Innovation, Taylor & Francis Journals, vol. 20(2), pages 133-156, February.
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    Cited by:

    1. Farnaz Farzin, 2017. "Localising the impact of techno-entrepreneurship in Eastern Iran: Birjand's Science and Technology Park as a local innovation community," Local Economy, London South Bank University, vol. 32(7), pages 692-710, November.
    2. Rhaiem, Khalil & Halilem, Norrin, 2023. "The worst is not to fail, but to fail to learn from failure: A multi-method empirical validation of learning from innovation failure," Technological Forecasting and Social Change, Elsevier, vol. 190(C).

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