The declining fertility rate has become an important social problem. The main purpose of this study was to investigate the potential relationship between work–family conflict (WFC), life stress (LS), generalized anxiety disorders (GAD) and three-child fertility intention (FI) in working women of reproductive age. The data comes from the survey of the 2021 China Family Health Index Survey. The Mplus8.3 software was used to analyze the selected cases of 1103 female workers of childbearing age between 19 and 35 years old, and they all answered the relevant questions about the willingness to have three children. The results showed that work–family conflict had a significant negative impact on three-child fertility intention of working women of reproductive age (β = −0.188, p < 0.001), The mediating effect found that anxiety disorder had a significant mediating effect between work–family conflict and three-child fertility intention of working women of childbearing age. In addition, the effect between work–family conflict and the three-child fertility intention of working women of reproductive age can be mediated through the chain-mediated effect of Life stress and anxiety disorders. At the same time, the regulating effect also found that life stress can effectively regulate the effect of work–family conflict on anxiety disorders. Therefore, it is necessary to alleviate the conflict between work and family to a certain extent, including employers giving women more understanding and care and reducing gender discrimination. In addition, relatives should also provide substantial labor support in family life. They can also rely on the community to establish childcare services, improve student night care services, and reduce the time cost of female education. Thereby alleviating the life stress and anxiety of female employees of childbearing age and improving their willingness to bear children.

The purpose of this study is to expand and deepen research in the field of safety production, explore the role of enterprises as decision-making entities in safety production, analyze the role of different types of decision-making behaviors in the process of enterprise safety production, and provide certain theoretical guidance for multi-agent decision-making in safety production. By summarizing and comparing the existing dual system of supply chain safety management, this study proposes dividing supply chain safety management into the two categories of safety organization and safety research and development (safety R&D) in the context of digitalization. Differential equations are established to describe a two-level supply chain safety management problem including manufacturers and suppliers. The research results show that, compared with the Nash equilibrium, when there are strong manufacturers involved in safety management cooperation, the manufacturer's safety R&D subsidy to suppliers improves the total revenue of the supply chain. When the manufacturer's safety organization supervision efficiency is high, the Stackelberg equilibrium is lower. It is a Pareto improvement for the manufacturer to supervise the supplier's safety organization to the Nash equilibrium. In the case of dual safety cooperation in the supply chain, when there are strong manufacturers, R&D subsidies have a crowding out effect on the safety organization cooperation. Finally, based on the example analysis, relevant suggestions are put forward for supply chain safety management.

This paper discusses the impact of network externalities on the green strategies of enterprises at each node of the supply chain. The existing related research mainly addresses the influence of factors such as government regulation, consumer behavior characteristics, and node enterprise behavior on green supply chain decision making. While these studies provide excellent ideas, the impact of network externalities on both green manufacturing and green marketing strategies is often disregarded. This paper uses evolutionary game theory to construct a utility function based on network externalities and consumer green preferences. The Stackelberg game is used to analyze the revenue function of supply chain members under different strategies, showing that under different strategies, network externalities and consumer green preferences have different effects on revenue in the supply chain. To understand the influence of network externalities on green supply chain strategy choices, the evolutionary game model is used. This model allows analyzing the evolutionary stable strategies of manufacturers’ green manufacturing and retailers’ green marketing. The mechanism underlying the influence of network externalities and consumer green preferences on green supply chain decision making is demonstrated. This helps to explain the green strategy decisions of upstream and downstream enterprises in the supply chain.

Based on the evolutionary game theory, this study aimed to explore the decision-making behavior of the enterprise when it adopted the open innovation model from the perspective of organizational distance. The evolutionary game theory is an important method to study the enterprise’ decision-making under bounded rationality. It applies to describe the trend of decision-making based on the enterprises’ open innovation choices in industrial clusters. This paper employs open innovation and institutional theory, utilizes industrial clusters as the research object, and measures the geographical proximity of enterprises in high-tech industrial clusters employing organizational distance. Within the analytical framework of the duopoly model, the impact of organizational distance and patent licensing fees on the innovative performance of a high-tech industrial cluster is studied. The findings indicate that the export-oriented open innovation model is more appropriate for the innovation of high-tech industry clusters. There is a significant relationship between organizational distance and the R&D spillovers of businesses. Increased patent fees can encourage industry clusters to adopt an open innovation model with an outward orientation if they are located in close proximity to each other. Further research analyzed the effect of organizational distance on the selection of an open innovation mode employing an evolutionary game model and indicated that geographical proximity would encourage enterprises to adopt open innovation export strategies. The conclusion of this study has both theoretical and practical ramifications for the independent innovation of high-tech industry clusters.