Research on the Evolutionary Game of Interactive Development Between Manufacturing and Logistics Enterprises from the Perspective of Digital Transformation

In the process of digital transformation, human capital and data capital are the most critical production factors. This paper innovatively introduces the learning effect, spillover effect, and shock effect, and studies the intrinsic mechanism of the interactive development of manufacturing enterprises and logistics enterprises under the background of digital transformation. It establishes an evolutionary game model and uses Matlab simulation software to verify the impact of different parameters on the digital interaction of the two industries. The research results indicate that the cost of digital construction has a negative impact on digital interaction, but there is a reasonable cost-sharing coefficient that increases the probability of interaction between the two parties. The initial willingness to interact, the level of digital technology, the coefficient of learning ability, and the absorption coefficient of data capital all increase the probability of enterprises choosing to participate in digital interaction. Moreover, the level of digital technology, learning ability, and data capital absorption capability accelerate the speed of collaborative evolution under constant returns to scale, there is a critical value for the income elasticity of human capital and data capital, affecting the equilibrium trend of enterprises choosing digital interaction. Digital interaction is advantageous in resisting the impact of external digital technological development. When facing significant external shocks, enterprises are more likely to choose to participate in digital interaction. These conclusions will provide decision-making basis for promoting the deep integration and interaction of the manufacturing and logistics industries.