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Toward a more Efficient Knowledge Network in Innovation Ecosystems: A Simulated Study on Knowledge Management

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  • Houxing Tang

    (School of Business Administration, Nanchang Institute of Technology, Nanchang 330099, China)

  • Zhenzhong Ma

    (Center for Israeli Studies of UESTC, University of Electronic Science and Technology of China, Chengdu 611731, China
    Odette School of Business, University of Windsor, Windsor, ON N9B 3P4, Canada)

  • Jiuling Xiao

    (School of Business, Nanjing Audit University, Nanjing 211815, China)

  • Lei Xiao

    (School of Economics and Management, University of Electronic Science and Technology of China, Chengdu 611731, China)

Abstract

Knowledge management has become increasingly important in the era of knowledge economy. This study explores what is an optimal knowledge network for more efficient knowledge diffusion among strategic partners in order to provide insights on sustainable enterprises and a more knowledge-efficient innovation ecosystem. Based on simulated analyses of the efficiency of knowledge network models, including regular network, random network, and small world network, this study shows that a random knowledge network is more efficient for knowledge diffusion when a mixture knowledge trade rule is used. This study thus helps identify which knowledge networks facilitate knowledge exchange among collaborative partners for sustainable knowledge management. Management practitioners and policymakers can use the findings to design more appropriate knowledge exchange networks to improve the efficiency of knowledge diffusion in an innovation ecosystem.

Suggested Citation

  • Houxing Tang & Zhenzhong Ma & Jiuling Xiao & Lei Xiao, 2020. "Toward a more Efficient Knowledge Network in Innovation Ecosystems: A Simulated Study on Knowledge Management," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6328-:d:395312
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    2. Robertson, Jeandri & Caruana, Albert & Ferreira, Caitlin, 2023. "Innovation performance: The effect of knowledge-based dynamic capabilities in cross-country innovation ecosystems," International Business Review, Elsevier, vol. 32(2).

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