Abstract
Based on the characteristics of a complex network structure and “Internet Plus” platform, this paper uses evolutionary game theory to establish a Barabasi–Albert (BA) scale-free agglomeration network evolutionary game model between the government and cloud manufacturing enterprises. MATLAB is used for a numerical simulation analysis to explore the evolution of the green innovation behaviour and network structure of enterprises in the innovation network under a scale-free network carrier. The results show that green synergy benefits, cloud platform supervision, and government incentives and punishment can promote the maintenance of green innovation cooperation and the network agglomeration of cloud manufacturing enterprises. Only when the above parameters exceed a certain threshold will the maintenance of green cooperation emerge among cloud manufacturing enterprises, which causes the network to evolve in a Pareto-optimal direction. Moreover, when the network size is larger, the speed of network evolution is slower. The research results not only provide a scientific basis for governments and platforms to regulate cloud manufacturing enterprises but also help to promote the collaborative green innovation of cloud manufacturing enterprises and enhance their core competencies.
Highlights
With the increasingly serious problems of global warming, environmental pollution and resource depletion, various regions have experienced different degrees of public environmental pollution problems, which have become the management focus of local governments, and green economics has become a focus of academic attention [1]
This paper studies the operation mechanism of the green innovation network of enterprises from the process perspective and reveals the process law of the green innovation diffusion behaviour of cloud manufacturing enterprises with the changes of cooperation and synergy benefits, platform supervision and government regulation
1: The increase of innovation synergy benefits can promote the maintenance and cooperation behaviour of innovation subjects in the green innovation network of cloud manufacturing enterprises and make the network evolve in a Pareto-optimal direction
Summary
With the increasingly serious problems of global warming, environmental pollution and resource depletion, various regions have experienced different degrees of public environmental pollution problems, which have become the management focus of local governments, and green economics has become a focus of academic attention [1]. By comparing the results of the evolutionary stability strategy through a simulation, this is expected to provide a theoretical basis for the optimization of the green innovation diffusion process of cloud manufacturing enterprises and fill the research gap of the evolution mechanism of green cooperation behaviour of the cloud manufacturing industry under a complex network. GAME MODEL CONSTRUCTION The green cooperative innovation revenue of the cloud manufacturing network, the supervision of the cloud platform, and the constraints of government are the important factors of the resource allocation of cloud manufacturing enterprises These factors can directly affect the cooperative behaviour of innovation subjects and affect the evolution and development of the innovation network. The total incomes of A-type and B-type enterprises are their basic income, namely, πA − Z + TB and πB + TA − Z − C0
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