The performance of a construction project can be severely harmed by its participants’ rent-seeking. In order to prevent such attempt, this research integrates the evolutionary game theory with system dynamics method to simulate the impact of the change of some factors that may cause/reduce rent-seeking. Based on the analysis of the behavioral characteristics and interactive relationships of the main participants (the owner, supervisor, and contractor), an evolutionary game model is constructed and simulated with the method of system dynamics based on the replication dynamic equation of the mixed strategy solution of the three-party static game model. By assigning the parameters of project scale, supervision likelihood, supervision success rate, supervision cost, and penalty intensity, the interaction mechanism of the participants on each factor is revealed through a case-based simulation. The results show that the impacts of these factors on participants’ rent-seeking decisions are significantly different. Furthermore, some management suggestions are provided to prevent rent-seeking for project owner according to the research conclusions. This research can help the project owners take proper measures to prevent rent-seeking of the supervisors and the contractors to improve the performances of the projects.
Harmony is the process of coordinated development between the elements, subsystems and the environment in each Engineering stage
of the engineering implementation. Quality, duration, cost and risk are the key factors to achieve engineering harmony. Clarifying the influencing factors
of engineering harmony and its mechanism can improve the possibility of success. The meta-analysis method is used to carry out a restudy of existing researches
of engineering harmony. First, quality, duration, cost and risk are selected as the variables of achieving engineering harmony. Second, the paper collects
29 existing researches including many countries and regions around the world on the relationship between the variables and engineering harmony. Third, each value
is calculated and corrected according to literature coding. Forth, publication deviation and total effect test are checked. Finally, the research conclusions and
engineering management implications are given based on the results of meta-analysis. The results show that quality objective, duration objective, cost objective
and risk management objective all have positive impact on achieving engineering harmony. The engineering type has no regulatory effect on positive impact of the
duration objective and cost objective, but has regulatory effect on positive impact of the quality objective and risk management objective on the engineering harmony.
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