Evolutionary Game Analysis of Construction Labor Information Sharing
Construction workers in China are confronted with a series of challenges including imbalanced age structure,disordered labor mobility,low levels of professional skills,inadequate protection of rights and inter-ests,and a lack of a unified market.They are unable to meet the needs of high-quality development in China's construction industry,necessitating a transition towards an industrialized workforce.Against the backdrop of information technology driving high-quality development across various sectors,the construction industry is actively exploring the use of information technology to manage construction workers and enhance their profession-alism.Existing studies have delved into various aspects of the industrialization of construction workers.Some studies have recognized the importance of sharing information about construction workers and have proposed recommendations for integrating and sharing construction worker information through a unified platform.However,overall,there is limited research exploring the impact of information sharing on the industrialization of construction workers.As a result,there is a lack of theoretical support to accelerate the promotion of information management,a crucial measure for cultivating a new era workforce in the construction industry.This restriction,in turn,hampers the industrialization process of construction workers.Evolutionary game theory overcomes the human rational hypothesis,and is applicable to various research problems under conditions of incomplete information.It has been widely used to study the formation process of social norms,and institutions or systems.To bridge the research gap of the industrialization of construction workers in China,this paper constructs an evolutionary game model among construction workers,construction labor subcontractors,and construction contractors,and analyzes the evolutionary stable equilibrium points of the model,stability judgments and stability conditions of each equilibrium point based on the second method of Liapunov.Furthermore,four representative game scenarios are simulated using numerical simulation methods.From the evolution path of the simulation model,the impact of information sharing on the behavior of players such as construction workers,construction labor subcontractors and construction contractors are further clarified.The research findings demonstrate that information sharing plays a decisive role in the industrialization process of construction workers.In the absence of information sharing,neither the group of construction labor subcontractors nor the group of construction workers evolves autonomously into stable states of specialized enter-prises and professionalized workers.Only with information sharing,under specific initial conditions,does the system stabilize into an equilibrium state.Here,construction contractors choose to share information,construc-tion labor subcontractors opt for specialized development,and construction workers pursue professional develop-ment.Additionally,based on the analysis of key influencing factors,the stability of the system is also influenced by factors such as the information sharing costs of construction contractors,the quality benefits of construction contractors,and income disparities among construction labor subcontractors.Specifically,reducing the cost of information sharing for construction contractors,increasing their quality benefits,and raising income disparities among construction labor subcontractors can reduce the restrictions on the initial conditions and accelerate the rate of evolution.Based on the research conclusions,the paper also puts forward policy suggestions to promote the develop-ment of the construction industrialization workforce,such as reducing information sharing costs,establishing quality-based incentive mechanisms,building construction contractor alliances,and establishing incentive mech-anisms based on the level of construction operations.
information sharingconstruction workerindustrializationevolutionary game
国家科技期刊平台
NSTL
万方数据
维普
