Digital transformation of construction industry under government reward and punishment mechanism based on evolutionary game modeling

被引:0
|
作者
Zhang, Chaoyong [1 ]
Hu, Keming [2 ]
Liu, Xun [2 ]
机构
[1] Jiaxing Nanhu Univ, Sch Civil Engn & Architecture, Jiaxing, Peoples R China
[2] Suzhou Univ Sci & Technol, Sch Civil Engn, 1 Kerui Rd, Suzhou 215000, Peoples R China
关键词
Digital transformation; construction industry; evolutionary game; construction enterprises; construction unit; TECHNOLOGY;
D O I
10.1080/13467581.2024.2396594
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Current research on digital transformation in the construction industry requires an in-depth analysis of the behavioral strategy choices of relevant key players. This paper bridges this gap by combining the characteristics of the construction industry and focusing on the key behavioral players in the digital transformation of the construction industry. It constructs an evolutionary game model involving the government, construction units, and construction enterprises, and examines the impact of government incentives and penalties on the strategic choices of each game participant. MATLAB is used to simulate, validate and analyze the effects of various factors on strategic choices to verify the validity of the model. The results suggest that (1) increasing incentives and subsidies for construction units and enterprises will facilitate the advancement of digital transformation in the construction industry. However, they must be kept within a specific range or they may lead to speculative behavior. (2) By setting a loss limit and penalizing local governments, higher-level governments can stimulate the digital transformation of construction enterprises. Through the analysis of the evolutionary results, several countermeasure suggestions are put forward, aiming to promote the digital transformation of the construction industry.
引用
收藏
页数:18
相关论文
共 50 条
  • [11] Tripartite Evolutionary Game and Simulation Analysis of Coal Mining Safe Production Supervision under the Chinese Central Government's Reward and Punishment Mechanism
    Zhou, Kui
    Wang, Qi
    Tang, Junnan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [12] Evolutionary Game Analysis for Key Participants' Behavior in Digital Transformation of the Chinese Construction Industry
    Zhang, Chaoyong
    Lv, Lelin
    Wang, Zhuofu
    BUILDINGS, 2023, 13 (04)
  • [13] Evolutionary game analysis of chemical enterprises' emergency management investment decision under dynamic reward and punishment mechanism
    Deng, Jun
    Su, Chang
    Zhang, Zi-ming
    Wang, Xin-ping
    Ma, Jia-yi
    Wang, Cai-ping
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2024, 87
  • [14] A stochastic and time-delay evolutionary game of food safety regulation under central government punishment mechanism
    Enquan, Luo
    Shuwen, Xiang
    Yanlong, Yang
    Sethi, Narayan
    HELIYON, 2024, 10 (09)
  • [15] Tripartite evolutionary game and simulation analysis of electric bus charging facility sharing under the governmental reward and punishment mechanism
    Zhang, Mingye
    Yang, Min
    Gao, Yangfan
    ENERGY, 2024, 307
  • [16] Coregulation Supervision Strategy of Drug Enterprises under the Government Reward and Punishment Mechanism
    Zhang, Siyi
    Zhu, Lilong
    COMPLEXITY, 2021, 2021
  • [17] Government–Enterprise Collaboration Strategy for the Digital Transformation of Agricultural Enterprises Based on Evolutionary Game Theory
    Hai, Xiaowei
    He, Shenglan
    Zhao, Chanchan
    Journal of Information Processing Systems, 2024, 20 (05): : 684 - 695
  • [18] Three-Party Stochastic Evolutionary Game Analysis of Reward and Punishment Mechanism for Green Credit
    Zhu, Qingfeng
    Zheng, Kaimin
    Wei, Yilin
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [19] Reward and punishment incentive mechanism of domestic waste classification in rural China: Based on complex network evolutionary game model
    Wei, Xi-Kai
    Ma, Ben
    Zhongguo Huanjing Kexue/China Environmental Science, 2022, 42 (08): : 3822 - 3831
  • [20] Countermeasures for the Transformation of Migrant Workers to Industrial Workers in the Construction Industry Based on Evolutionary Game Theory
    Guo, Feng
    Guo, Meiting
    Li, Yuanyuan
    Gu, Jianglin
    BUILDINGS, 2023, 13 (12)