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Research on the Group Innovation Information-Sharing Strategy of the Industry–University–Research Innovation Alliance Based on an Evolutionary Game

Author

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  • Qixuan Tang

    (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Chengjun Wang

    (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Tao Feng

    (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China)

Abstract

Based on various factors in information sharing between innovation alliance groups, this paper analyzes innovation information sharing under the influence of various factors and its evolutionary path to provide a reference for the decision-making of innovation information sharing between innovation alliance groups. Firstly, the paper analyzes the main factors influencing alliance group innovation information-sharing behavior. Secondly, based on the evolutionary game theory, an evolutionary game model of innovative information sharing under the cooperative trust degree of group decision-makers is constructed, and the related stable strategies are given. Finally, the sensitivity of innovative information-sharing strategies to key influencing factors is analyzed with the help of actual case data. The results show that a reasonable amount of innovation information sharing and fair profit distribution can improve the innovation information-sharing behavior among the industry–university–research alliance. Considering the trust degree of vertical partners, the alliance group pays more attention to the profit distribution ratio of collaborative innovation of the innovation alliance than the profit amount. When horizontal partner trust is considered, horizontal cooperation trust can promote information sharing among enterprises, universities, and research institutes in the short term but impedes information sharing among groups in the long term.

Suggested Citation

  • Qixuan Tang & Chengjun Wang & Tao Feng, 2023. "Research on the Group Innovation Information-Sharing Strategy of the Industry–University–Research Innovation Alliance Based on an Evolutionary Game," Mathematics, MDPI, vol. 11(19), pages 1-16, October.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:19:p:4161-:d:1253191
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    References listed on IDEAS

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    1. Xihua, Zhang & Kaidong, Jing & Xu, Bin & Chang, Yen-Chiang & Hongzheng, Liu, 2018. "The standard essential patent ownership in the global energy interconnection collaborative innovation in China," Energy Policy, Elsevier, vol. 119(C), pages 149-153.
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    Cited by:

    1. Shun Cao, 2023. "Effects of Search Strategies on Collective Problem-Solving," Mathematics, MDPI, vol. 11(22), pages 1-16, November.
    2. Yusheng Chen & Zhaofa Sun & Yanmei Wang & Ye Ma & Weili Yang, 2024. "Seeds of Cross-Sector Collaboration: A Multi-Agent Evolutionary Game Theoretical Framework Illustrated by the Breeding of Salt-Tolerant Rice," Agriculture, MDPI, vol. 14(2), pages 1-21, February.
    3. Sen Yang & Haiyan Wang, 2024. "Evolutionary Game Analysis of Healthcare Information Construction and Sharing Decisions Considering Synergy Benefits," Mathematics, MDPI, vol. 12(17), pages 1-18, September.

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