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Simulation of Knowledge Transfer Process Model Between Universities: A Perspective of Cluster Innovation Network

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  • Fang Wei
  • Xiao Limin

Abstract

Combined with the basic properties of the cluster innovation network, with the cluster innovation network, which can be composed of different universities that have knowledge potential difference as the research object, the knowledge transfer process is divided into four stages: knowledge externalization, knowledge sharing, knowledge innovation, and knowledge internalization, and the article constructs a knowledge transfer process model through introducing explicit knowledge and tacit knowledge conversion effect mechanism. According to the theory of complex adaptive system, the principle of network connection oriented the knowledge potential difference and the characteristic of the explicit knowledge and tacit knowledge within universities. We research the knowledge transfer process of universities using the system simulation method and focus on the evolution mechanism of the cluster innovation network’s knowledge level at knowledge externalization and knowledge sharing stage. It further reveals the basic topology structure and dynamic evolution law of universities cluster innovation network. We find that both knowledge externalization efficiency and knowledge learning ability have positive correlation with the general knowledge level of network. The evident small-world network characteristic emerges during the dynamic evolution of universities cluster innovation network. Meanwhile, there exists a coupling evolution between the knowledge level of universities and the topology structure of the cluster innovation network.

Suggested Citation

  • Fang Wei & Xiao Limin, 2018. "Simulation of Knowledge Transfer Process Model Between Universities: A Perspective of Cluster Innovation Network," Complexity, Hindawi, vol. 2018, pages 1-13, December.
    • Handle: RePEc:hin:complx:5983531
    DOI: 10.1155/2018/5983531
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    1. Joel A. C. Baum & Robin Cowan & Nicolas Jonard, 2010. "Network-Independent Partner Selection and the Evolution of Innovation Networks," Management Science, INFORMS, vol. 56(11), pages 2094-2110, November.
    2. Fritjof Karnani, 2013. "The university’s unknown knowledge: tacit knowledge, technology transfer and university spin-offs findings from an empirical study based on the theory of knowledge," The Journal of Technology Transfer, Springer, vol. 38(3), pages 235-250, June.
    3. Bart Verspagen & Marjolein C.J. Cani, ls, 2001. "Barriers to knowledge spillovers and regional convergence in an evolutionary model," Journal of Evolutionary Economics, Springer, vol. 11(3), pages 307-329.
    4. Xie, Xuemei & Fang, Liangxiu & Zeng, Saixing, 2016. "Collaborative innovation network and knowledge transfer performance: A fsQCA approach," Journal of Business Research, Elsevier, vol. 69(11), pages 5210-5215.
    5. Lin, Min & Li, Nan, 2010. "Scale-free network provides an optimal pattern for knowledge transfer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 473-480.
    6. David J. Teece, 2008. "Technology Transfer By Multinational Firms: The Resource Cost Of Transferring Technological Know-How," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 1, pages 1-22, World Scientific Publishing Co. Pte. Ltd..
    7. Asheim, Bjorn T & Isaksen, Arne, 2002. "Regional Innovation Systems: The Integration of Local 'Sticky' and Global 'Ubiquitous' Knowledge," The Journal of Technology Transfer, Springer, vol. 27(1), pages 77-86, January.
    8. Michael Fritsch & Martina Kauffeld-Monz, 2010. "The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(1), pages 21-38, February.
    9. He, Zheng & Rayman-Bacchus, Lez & Wu, Yiming, 2011. "Self-organization of industrial clustering in a transition economy: A proposed framework and case study evidence from China," Research Policy, Elsevier, vol. 40(9), pages 1280-1294.
    10. Masao Nakamura & Mariko Sakakibara, 2003. "Knowledge sharing in cooperative research and development," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(2-3), pages 117-132.
    11. Lai, Yung-Lung & Hsu, Maw-Shin & Lin, Feng-Jyh & Chen, Yi-Min & Lin, Yi-Hsin, 2014. "The effects of industry cluster knowledge management on innovation performance," Journal of Business Research, Elsevier, vol. 67(5), pages 734-739.
    12. Hermans, Frans & van Apeldoorn, Dirk & Stuiver, Marian & Kok, Kasper, 2013. "Niches and networks: Explaining network evolution through niche formation processes," Research Policy, Elsevier, vol. 42(3), pages 613-623.
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