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

Houxing Tang, Zhenzhong Ma, Jiuling Xiao and Lei Xiao
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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
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

Sustainability, 2020, vol. 12, issue 16, 1-18

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.

Keywords: knowledge network; knowledge management; network structure; innovation ecosystem (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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