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Article type: Research Article
Authors: Xu, Huajie | Zhou, Yanping; * | Chen, Huiying | Kou, Yuanyuan
Affiliations: College of Economics and Management, Shandong University of Science and Technology, Qingdao, Shandong Province, China
Correspondence: [*] Corresponding author. Yanping Zhou, College of Economics and Management, Shandong University of Science and Technology, 579 Qianwangang Road, Huangdao District, Qingdao, Shandong Province 266590, China. E-mail: yingwentougao2021@163.com.
Abstract: In the era of the knowledge economy, how integrating into the network of collaborative innovation and promoting technology sharing has become the key to enhancing the competitiveness of enterprises. It is well known that inter-organizational trust is essential to technology sharing. Firstly, this paper discussed how inter-organizational trust plays a role in technology-sharing behavior. Secondly, based on “organization is bounded rational”, we established an evolutionary game model to analyze the influencing factors of technology sharing. Finally, we used the numerical simulation method to verify the model. Research shows that affective trust facilitates technology acquisition and cognitive trust facilitates technology sharing. The synergetic benefit distribution coefficient influences the evolutionary equilibrium strategy of technology sharing, and there is an optimal synergistic benefit distribution coefficient that maximizes the willingness of both enterprises to share technology. Technology transfer cost and technology leakage risk negatively affect technology-sharing behavior. The degree of technology complementarity, trust coefficient, incentive coefficient, and the ability of shared technologies to transform into synergistic benefits positively influence technology-sharing behavior. The research provides a new way to solve the practical problem of collaborative innovation technology sharing among enterprises.
Keywords: Collaborative innovation, inter-organizational trust, technology sharing, technology acquisition, evolutionary game
DOI: 10.3233/JIFS-231898
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 4, pp. 5723-5738, 2023
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