Game analysis on university-enterprise cooperation and innovation considering knowledge sharing and talent training

被引：0
|
作者：
Sun J. [1 ]
Zhang H. [2 ]
机构：
[1] School of Accounting, Tianjin University of Commerce, Tianjin
[2] Department of Credit Management, Postal Savings Bank of China, Beijing
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2020年 / 40卷 / 07期
关键词：
Differential game; Knowledge sharing; Talent training; University-enterprise cooperation and innovation;
D O I：
10.12011/1000-6788-2019-0211-15
中图分类号：
学科分类号：
摘要：
Under the background of new era, university-enterprise cooperation and innovation is of great significance to promote the construction of modern economic system. Since knowledge sharing and talent training are important contents of university-enterprise cooperation and innovation, it is necessary to integrate the two into the research scope of university-enterprise cooperation and innovation system. Considering the common influence of knowledge sharing and talent training, this paper analyzes the problem of university-enterprise cooperation and innovation under the dynamic framework by the method of differential game, and investigates the decision-making process and optimal strategies of the university and the enterprise in the Nash non-cooperative game, Stackelberg leader-follower game and coordinated cooperation game. The results show that the cost sharing of the enterprise to the university can improve the optimal benefits of the enterprise and the university. Under the coordinated cooperation game, the overall benefit of the system achieves Pareto optimality. The research conclusions provide the theoretical basis for university-enterprise cooperation and innovation. © 2020, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
引用
收藏
页码：1806 / 1820
页数：14
相关论文
共 36 条
  • [1] Chen J., Building a scientific and technological innovation power geared to the needs of the future, People's Tribune•Frontiers, 22, pp. 34-41, (2017)
  • [2] Chen J, Yang Y J., Theoretical basis and content for collaborative innovation, Studies in Science of Science, 30, 2, pp. 161-164, (2012)
  • [3] Dong F, Shu L, Li J Y, Et al., Evaluation and promotion path of industry-university-research collaborative innovation efficiency, Operations Research and Management Science, 27, 10, pp. 185-192, (2018)
  • [4] Othman R, Omar A F., University and industry collaboration: Towards a successful and sustainable partnership, Procedia-Social and Behavioral Sciences, 31, 3, pp. 575-579, (2012)
  • [5] Perkmann M, Walsh K., University-industry relationships and open innovation: Towards a research agenda, International Journal of Management Reviews, 9, 4, pp. 259-280, (2007)
  • [6] Su Z., Conflict analysis and countermeasure of industry-university-research cooperation innovation from the perspective of knowledge management, Science & Technology Progress and Policy, 35, 24, pp. 64-70, (2018)
  • [7] Carayannis E G, Alexander J, Ioannidis A., Leveraging knowledge, learning, and innovation in forming strategic government-university-industry (GUI) R&D partnerships in the US, Germany, and France, Technovation, 20, 9, pp. 477-488, (2000)
  • [8] Eom B Y, Lee K., Determinants of industry-academy linkages and their impact on firm performance: The case of Korea as a latecomer in knowledge industrialization, Research Policy, 39, 5, pp. 625-639, (2010)
  • [9] Yu W X, Gu X, Xiong W M., Research on knowledge division and knowledge synergy of industry-university-research institute collaboration, Studies in Science of Science, 35, 5, pp. 737-745, (2017)
  • [10] Etzkowitz H, Leydesdorff L., The triple helix-university-industry-government relations: A laboratory for knowledge based economic development, Social Science Electronic Publishing, 14, 1, pp. 14-19, (1995)
1234