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| Government Classification Regulation, Intelligent Platform Empowerment and CSR Strategy Evolution of Pharmaceutical Enterprise |
| LI Chunfa, LIU Huanxing, HU Peipei
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| School of Management, Tianjin University of Technology, Tianjin 300384, China |
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Abstract In order to explore the enabling mechanism, as well as the mechanism of government classification regulation on smart platforms and pharmaceutical enterprises' CSR strategies, a tripartite evolutionary game model for the government, smart platforms, and pharmaceutical enterprise is constructed. Through the analysis of the critical condition, stability and evolution path of the evolution of the tripartite strategy, it reveals the action mechanism of each factor and the evolution law of the tripartite game, and analyzes the influence of key factors such as the equilibrium state of system evolution and regulatory policies based on Anylogic simulation. The research shows that: Government classification regulations significantly affect the CSR performance decision and intelligent supply chain construction of pharmaceutical enterprises and intelligent platform, and the regulatory effect is affected by the sensitivity of the policies of both parties; Increased intelligence can strengthen the risk flexibility and autonomy of intelligent platform and pharmaceutical enterprises, but there are limitations in the space and time for pharmaceutical enterprises to implement strategies; When the reward coefficient is moderate, the evolution speed of smart platforms and pharmaceutical enterprise is significantly positively correlated with the reward coefficient. Based on this, it proposes measures to improve the efficiency of government CSR governance and solve the dilemma of CSR implementation in the pharmaceutical industry.
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Received: 23 February 2021
Published: 23 May 2022
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