Government–Enterprise Collaboration Strategy for the Digital Transformation of Agricultural Enterprises Based on Evolutionary Game Theory


Xiaowei Hai, Shenglan He, Chanchan Zhao, Journal of Information Processing Systems Vol. 20, No. 5, pp. 684-695, Oct. 2024  

https://doi.org/10.3745/JIPS.04.0323
Keywords: Agricultural Enterprises, Collaboration Strategy, Digital Transformation, evolutionary game, Local government
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Abstract

Local governments play an important role in the digital transformation of agricultural enterprises. An effective government–enterprise collaboration strategy can enable the successful digitalization of agricultural enterprises. However, efficient collaboration between the local government of a place and agricultural enterprises is difficult to achieve because of the complexity of influencing factors, evolutionary processes, and stability strategies. To address this issue, we propose a government–enterprise collaboration strategy based on evolutionary game theory. First, we build an evolutionary game model based on local governments' guidance behavior and agricultural enterprises' digital transformation decision-making. Second, we analyze the evolutionary stability strategy of the local government and agricultural enterprises using the Jacobian matrix. The influence of related parameters on strategy evolution is also discussed. Third, we use numerical simulation to verify the effectiveness of the proposed model. Finally, some managerial implications are proposed for local governments to promote the digital transformation of agricultural enterprises.


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Cite this article
[APA Style]
Hai, X., He, S., & Zhao, C. (2024). Government–Enterprise Collaboration Strategy for the Digital Transformation of Agricultural Enterprises Based on Evolutionary Game Theory. Journal of Information Processing Systems, 20(5), 684-695. DOI: 10.3745/JIPS.04.0323.

[IEEE Style]
X. Hai, S. He, C. Zhao, "Government–Enterprise Collaboration Strategy for the Digital Transformation of Agricultural Enterprises Based on Evolutionary Game Theory," Journal of Information Processing Systems, vol. 20, no. 5, pp. 684-695, 2024. DOI: 10.3745/JIPS.04.0323.

[ACM Style]
Xiaowei Hai, Shenglan He, and Chanchan Zhao. 2024. Government–Enterprise Collaboration Strategy for the Digital Transformation of Agricultural Enterprises Based on Evolutionary Game Theory. Journal of Information Processing Systems, 20, 5, (2024), 684-695. DOI: 10.3745/JIPS.04.0323.