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    Volume 1, Issue 2, IECE Transactions on Social Statistics and Computing
    Volume 1, Issue 2, 2024
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    IECE Transactions on Social Statistics and Computing, 2024, Volume 1, Issue 2: 47-52

    Free to Read | Research Article | 26 April 2024
    Dynamic Mechanism of Intelligent Logistics Talent Cultivation in the Guangdong-Hong Kong-Macao Greater Bay Area: An Evolutionary Game Perspective on Industry-Education Integration
    by
    IECE Author Chunsheng Wang 1,2
    IECE Author Hong Ding 1 *
    IECE Author Yuxian Ou 3
    1 Digital Economy and Management School, Software Engineering Institute of Guangzhou, Guangzhou 510990, China
    2 Faculty of Finance, City University of Macau, Macau 999078, China
    3 School of Logistics Management and Engineering, Zhuhai Institute of Science and Technology, Zhuhai 519040, China
    * Corresponding Author: Hong Ding, [email protected]
    DOI: https://doi.org/10.62762/TSSC.2024.918606
    Received: 24 March 2024, Accepted: 12 April 2024, Published: 26 April 2024  
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    Abstract
    Based on the perspective of industry-education integration, this paper constructs an evolutionary game dynamic model of "enterprises (EN) - universities and research institutions (RI)". It examines the dynamic mechanism of cultivating intelligent logistics talent in the Guangdong, Hong Kong, and Macao Greater Bay Area and identifies the conditions for the stability of this mechanism. The conclusions indicate that under the strategy of "passive R&D" chosen by RI, when EN opts to "continue cooperation", the benefits outweigh those of "withdrawal". Similarly, under the "withdrawal" strategy, if EN continues to cooperate, the benefits are greater compared to withdrawing. Furthermore, under EN's strategy of "negative R&D", the benefits exceed those of "withdrawal". When RI's benefit from choosing "active R&D" exceeds that from "passive R&D" under the "exit" strategy, EN and RI ultimately opt for the strategy of continuing collaboration and pursuing active R&D.
    Keywords
    Guangdong-Hong Kong-Macao Greater Bay Area
    Intelligent Logistics Talent Cultivation
    Evolutionary Game
    Power Mechanisms
    Funding
    This work was supported by Project of educational science planning of Guangdong Province (2022GXJK085) and School-level Research Project of Software Engineering Institute of Guangzhou (KY202307).
    Cite This Article
    APA Style
    Wang, C., Ding, H., & Ou, Y. (2024). Dynamic Mechanism of Intelligent Logistics Talent Cultivation in the Guangdong-Hong Kong-Macao Greater Bay Area: An Evolutionary Game Perspective on Industry-Education Integration. IECE Transactions on Social Statistics and Computing, 1(2), 16–21. https://doi.org/10.62762/TSSC.2024.918606
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    IECE Transactions on Social Statistics and Computing

    IECE Transactions on Social Statistics and Computing

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