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A Tripartite Evolutionary Game Model of Digital Transformation of Work Safety

Published:08 December 2022Publication History

ABSTRACT

With the development of information technology and the advent of the era of Industry 4.0, work safety is gradually changing in a digital and intelligent direction. The digital transformation of safe production is a game process involving the participation of the government, enterprises, digital service providers, and other subjects. It is necessary to design a mechanism to achieve effective coordination among the three parties. Based on the evolutionary game theory, a tripartite evolutionary game model for the digital transformation of safety production was constructed, and the strategic choices among the three types of subjects were analyzed. The system dynamics simulation is further used to analyze the influence of different parameters on the evolutionary game system. The simulation results show that the game system can be promoted to a stable state through two mechanisms: external intervention and internal alliance constraints.

References

  1. Yu Jianxing and Chen Shaohui. 2022. From Technology Empowerment to System Reconstruction: Innovation of Emergency Management Institution and Mechanism in the Digital Era. Zhejiang Social Sciences. 309, 5(May 2022), 66-75.Google ScholarGoogle Scholar
  2. Yuan Shaohua, Zuo Xiaobao, and Shi Song. 2022. Prevention and Response of Urban Emergency Management Events in the Digital Age. City and Disaster Reduction. 144, 3(May 2022), 7-12.Google ScholarGoogle Scholar
  3. Yuan Yong. 2021. Research on improvement of safety management measures of construction enterprises under digital transformation. Informatization of China Construction. 142, 15(August 2021), 80-82.Google ScholarGoogle Scholar
  4. Ma Wenxiu and Gao Zhouchuan. 2021. Digital Transformation Development Strategy of Japan's Manufacturing lndustry. Contemporary Economy of Japan. 40, 1(January 2021), 27-42.Google ScholarGoogle Scholar
  5. Sun Guoqiang, Yang Jing, and Yan Xuxian. 2021. Network Embedding, Knowledge Search and Organizational Resilience: The Moderating Role of Digital Transformation. Scientific Decision Making. 292, 11(November 2021), 18-31.Google ScholarGoogle Scholar
  6. Wang Jinhua, Wang Yougang, and Fu Junhao. 2016. Crucial technology research and demonstration of digital mines. Journal of China Coal Society. 41, 6(June 2016), 1323-1331.Google ScholarGoogle Scholar
  7. Ji Mingyuan. 2019. A Brief Discussion on the New Trend of Safety Production Management in Urban Tunnels. Modern Urban Research. 11(November 2019), 113-114.Google ScholarGoogle Scholar
  8. Fan Jinlu and Feng Wenwen. 2021. Study on the safety supervision system and measures for hazardous chemicals/dangerous cargo in port(area). Journal of Safety Science and Technology. 17, S1(December 2021), 177-181.Google ScholarGoogle Scholar
  9. Suxia Liu, Hangfeng Li, and Qiang Mei. 2021. Research on System Dynamic of Buying Work Safety Services in Small and Medium-Sized Enterprises. Journal of Systems Science and Systems Engineering. 30(April 2021), 339–362.Google ScholarGoogle Scholar
  10. Jing Gao, Wanfei Zhang, Tao Guan, and Qiuhong Feng. 2022. Evolutionary game study on multi-agent collaboration of digital transformation in service-oriented manufacturing value chain. Electronic Commerce Research. online(May 2022).Google ScholarGoogle Scholar
  11. Rui Zhang, Yuewen Li, Hongyan Li, and Qiaosong Wang. 2022. Evolutionary Game Analysis on Cloud Providers and Enterprises’ Strategies for Migrating to Cloud-Native under Digital Transformation. Electronics. 11,10(May 2022), 1584.Google ScholarGoogle Scholar
  12. Zongjie Pi, Xin Gao, Linyan Chen, and Jinghua Liu. 2019. The New Path to Improve Construction Safety Performance in China: An Evolutionary Game Theoretic Approach. International journal of environmental research and public health. 16,13(July 2019), 2443.Google ScholarGoogle ScholarCross RefCross Ref
  13. Authors’ backgroundGoogle ScholarGoogle Scholar

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  • Published in

    cover image ACM Other conferences
    IMMS '22: Proceedings of the 5th International Conference on Information Management and Management Science
    August 2022
    457 pages
    ISBN:9781450396721
    DOI:10.1145/3564858

    Copyright © 2022 ACM

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    New York, NY, United States

    Publication History

    • Published: 8 December 2022

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