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The impact of innovation intermediary on knowledge transfer

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  • Lin, Min
  • Wei, Jun

Abstract

Many firms have opened up their innovation process and actively transfer knowledge with external partners in the market of technology. To reduce some of the market inefficiencies, more and more firms collaborate with innovation intermediaries. In light of the increasing importance of intermediary in the context of open innovation, we in this paper systematically investigate the effect of innovation intermediary on knowledge transfer and innovation process in networked systems. We find that the existence of innovation intermediary is conducive to the knowledge diffusion and facilitate the knowledge growth at system level. Interestingly, the scale of the innovation intermediary has little effect on the growth of knowledge. We further investigate the selection of intermediary members by comparing four selection strategies: random selection, initial knowledge level based selection, absorptive capability based selection, and innovative ability based selection. It is found that the selection strategy based on innovative ability outperforms all the other strategies in promoting the system knowledge growth. Our study provides a theoretical understanding of the impact of innovation intermediary on knowledge transfer and sheds light on the design and selection of innovation intermediary in open innovation.

Suggested Citation

  • Lin, Min & Wei, Jun, 2018. "The impact of innovation intermediary on knowledge transfer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 21-28.
    • Handle: RePEc:eee:phsmap:v:502:y:2018:i:c:p:21-28
    DOI: 10.1016/j.physa.2018.02.207
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    Citations

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    Cited by:

    1. Julio C. Acosta-Prado & Oscar H. López-Montoya & Carlos Sanchís-Pedregosa & Ulpiano J. Vázquez-Martínez, 2020. "Sustainable Orientation of Management Capability and Innovative Performance: The Mediating Effect of Knowledge Management," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    2. Evangelos Ioannidis & Nikos Varsakelis & Ioannis Antoniou, 2021. "Intelligent Agents in Co-Evolving Knowledge Networks," Mathematics, MDPI, vol. 9(1), pages 1-17, January.
    3. Zhang, Hao & Wang, Mingyue & Cheng, Zhixuan & Wan, Ling, 2020. "Technology-sharing strategy and incentive mechanism for R&D teams of manufacturing enterprises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    4. Song, Haoyang & Hou, Jianhua & Zhang, Yang, 2022. "Catalytic capacity of technological innovation: Multidimensional definition and measurement from the perspective of knowledge spillover," Technology in Society, Elsevier, vol. 68(C).
    5. Bertha Vallejo & Banji Oyelaran-Oyeyinka & Nicholas Ozor & Maurice Bolo, 2019. "Open Innovation and Innovation Intermediaries in Sub-Saharan Africa," Sustainability, MDPI, vol. 11(2), pages 1-18, January.

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