A tripartite stochastic evolutionary game model of complex technological products in a transnational supply chain

The effective operation of a transnational supply chain under economic globalization is a key way to promote scientific and technological progress and a realistic requirement for the development of social productivity. However, the long-term dynamic interaction between the transnational operation decision-making behavior and the random interferences owing to multiple uncertain factors is difficult to explain using traditional game theory. Therefore, we establish a tripartite stochastic evolutionary game model among multinational corporations, foreign distributors, and the government. We consider Ito's stochastic differential equation to analyze stability conditions through stability analysis, numerical simulation, and in-depth case simulation. The results show that the game's evolutionarily stable strategy comprises eight pure strategies, and obtains the critical value of the key parameters which can effectively guide the evolution of the multinational supply chain to a reasonable long-term optimal path. We innovatively use the tripartite evolutionary path iterative algorithm to propose a dynamic strategy selection scheme and find that the consumer preference for complex technology products significantly affects the tripartite strategy.