Affiliation:
1. Digital Economy and Management School, Software Engineering Institute of Guangzhou, Guangzhou 510990, China
2. School of Logistics Management and Engineering, Zhuhai Institute of Science and Technology, Zhuhai 519040, China
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.
Publisher
Institute of Emerging and Computer Engineers Inc
Reference11 articles.
1. Shan, S. N., Zhang, Z. C., Ji, W. Y., & Wang, H. (2023). Analysis of collaborative urban public crisis governance in complex system: A multi-agent stochastic evolutionary game approach. Sustainable Cities and Society, 91, 104418.
2. Xie, Y., Li, C., Zou, Y., Qiu, Y., Xia, W., & Ouyang, Z. (2022, December). A Practical Study of AI+ First-Class Curriculum to Empower Teaching Reform in Universities of Guangdong-Hong Kong-Macao Greater Bay Area. In 2022 Eleventh International Conference of Educational Innovation through Technology (EITT) (pp. 87-92). IEEE.
3. Huang, X., & Lu, J. (2023). Measurement of the Integration of Education and Industry in Guangdong, Hong Kong and Macao Greater Bay Area under the Background of Big Data and Analysis of Influencing Factors. Applied Mathematics and Nonlinear Sciences, 9(1).
4. Tang, Q., Wang, C., & Feng, T. (2024). Technological Innovation Investment Channels of Industry–University–Research Alliance Enterprises and Non-Alliance Enterprises Based on Evolutionary Game. Mathematics, 12(2), 289.
5. Gen-ming, Z. H. A. N. G., & Man-ning, Z. H. A. N. G. (2020). The stability of industry-university-research innovation alliance based on evolutionary game. Operations Research and Management Science, 29(12), 67.