Abstract
During rapid progress in China’s digital economy, there exists a giant gap in digital talents that are deemed as the core competitiveness of innovation driven development and enterprise transformation and upgrading. In this case, college-enterprise-government collaborative digital talent cultivation is an important way to settle such a problem. In order to In order to analyzing a trilateral collaborative cultivation mechanism oriented by colleges, involving enterprises and supported by the government, a trilateral evolutionary game model was established here for collaborative digital talent cultivation oriented by colleges, involving enterprises and supported by the government. Furthermore, strategy selection by colleges, enterprises and the government was also analyzed in the course of collaborative digital talent cultivation. After that, simulation analysis was made to investigate influencing factors on strategy selection. As demonstrated by relevant results, participation willingness of colleges, enterprises and the government produces impacts mutually to diverse extents. Since enterprises are in pursuit of profits, they are more sensitive to earnings and the default penalty. As far as the government is concerned, it needs to boost trilateral cooperation from various perspectives of policies, financial affairs and regulation, etc.
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Liu, P., Ma, W., Zhang, Y. (2021). On Trilateral Evolutionary Game and Simulation Analysis of College-Enterprise-Government Collaborative Digital Talent Cultivation in the Context of Digital Economy. In: Hu, Z., Zhang, Q., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Logistics Engineering. ICAILE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-030-80475-6_9
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