Evolutionary game analysis of data value co-creation in construction projects

Purpose Construction projects are characterized by large construction scale, long construction period, high uncertainty, etc. and a large amount of data is generated in the construction process. Through an in-depth exploration of data value, value addition of the projects can be achieved based on data value co-creation. The purpose of this study is to analyze the laws of the strategic choices of participating subjects in the process of data value co-creation and the factors that influence the stability of the system. Design/methodology/approach Based on prospect theory and evolutionary game theory, this study constructs an evolutionary game model of data value co-creation among owner, constructor and designer and analyzes the dynamic evolution law of data value co-creation behavior in construction projects and the influence of key elements on system stability. Findings The study shows that the effort cost, profit value sensitivity, participation willingness and the owner’s punishment for non-participating subjects have a significant impact on data value co-creation; adjusting the punishment, reducing the effort cost and improving the subject’s benefit perception can effectively promote the stability of the data value co-creation system; meanwhile, the subjects’ willingness to data value co-creation shows complementarity and interdependence. Originality/value The research results can reveal the evolution law of data value co-creation in construction projects and provide support for the optimization of data value co-creation practice and mechanism.