This study integrates the concept of green entrepreneurship into the entrepreneurship education system, and grasps the correct way to promote the green entrepreneurship intention of college students. The model of promoting college students’ green entrepreneurship intention with policy support is constructed to answer the following research questions: what is the internal mechanism of green entrepreneurship education in promoting green entrepreneurship intention of college students in Guangxi, and how does green entrepreneurship policy affect its internal mechanism? Through a questionnaire survey of 304 college students from major cities in Guangxi, China, this paper investigates how college green entrepreneurship education affects college students’ green entrepreneurship intention through the desirability and feasibility of green entrepreneurship and actively explores the regulatory role of the institutional environment. The results show that the desirability and feasibility of green entrepreneurship play a mediating role between green entrepreneurship education and the promotion of college students’ green entrepreneurship intention, and the regulatory environment positively moderates the positive effect of desirability and feasibility of green entrepreneurship on green entrepreneurship intention. This study contributes to the literature on green entrepreneurship. On the one hand, by studying the mediating mechanism of green entrepreneurship desirability and feasibility, this study has added empirical evidence on the promotion effect of green entrepreneurship education on the green entrepreneurship intention of college students. On the other hand, this study emphasizes the impact of policy regulation on the strengthening process of college students’ green entrepreneurial intention. This study will help to build a characteristic and effective green entrepreneurship education system in colleges and universities, enhance college students’ green entrepreneurship intention and green core competitiveness, and drive them to enhance their sense of social responsibility and build “green development” values.

The interests of upstream, midstream, downstream companies and consumers in the supply chain are jointly affected by service levels and returns. Improving service levels can increase market demand and improve market position, as well as reduce return rates. But the increase in service level will bring an increase in service cost. How to balance the service cost and return cost through pricing decision, so that the profit of supply chain members can be improved, is the problem studied in this paper. In this paper, we consider the effect of service level of network channel on consumers’ return behavior in the context of manufacturer’s dual-channel supply chain when dual channels provide services at the same time, and discuss the effect of service level and return rate on pricing decision of dual-channel supply chain. It was found that return behavior can stimulate manufacturers to improve service levels and increase overall supply chain profits. The higher the return rate in the network channel, the greater the benefits from improved service levels by the manufacturer and the less detrimental to retailers’ returns. This study enriches the research on pricing decisions in dual-channel supply chains, increases the motivation of merchants to improve service levels, and has some guiding implications for supply chain members to develop price and service strategies.

In the process of carbon peak and carbon neutrality, prefabricated buildings have developed rapidly, and the concept of green and low carbon has been introduced into the field of prefabricated buildings. This paper establishes an information sharing platform based on BIM (Building Information Modeling), RFID (Radio Frequency IDentification), and GIS (Geographic Information System) technologies from the green supply chain of prefabricated buildings. On the basis of information sharing, the Stackelberg two-stage game is used to analyze and compare the overall profit of the supply chain under the centralized pricing decision and the decentralized pricing decision. Through numerical simulation, this paper analyzes the relationship between pricing and the overall profit of the supply chain, compares the difference of the overall profit of supply chain under two different pricing strategies, centralized pricing and decentralized pricing, and analyzes the influence of information sharing degree on the overall profit of the supply chain. The results show that the overall profit of the supply chain under centralized pricing decisions is significantly higher than that under decentralized pricing decisions. The higher the degree of information sharing, the greater the overall profit of the supply chain.

The current sales model combining online and offline channels meets the diverse requirements of consumers. However, consumers’ inter-channel switching behavior and strategic behavior also pose significant challenges to pricing decisions in the hybrid channel. Using game theory and consumer utility theory, a retailer-driven pricing model is developed to study the optimal pricing problem for each channel in a mixed-channel supply chain considering the characteristics of channel competition and the waiting behavior of strategic consumers. Study results show there is a negative correlation between the proportion of strategic consumers and the optimal pricing and profit of each channel, and as the proportion of strategic consumers rises, the optimal pricing and profit of manufacturers and retailers all trend downward. Incorporating strategic consumers into the pricing model will assist the supply chain in elucidating the behavior of consumer heterogeneity during various decision-making periods and in making reasonable pricing decisions. Effective guiding strategies, such as pre-discount and purchase restrictions, can reduce the profit loss caused by strategic consumer behavior. The optimal combination of pre-announcement discount and strategic consumer ratio can generate the greatest profit for retailers and the supply chain.

Finding reliable partners is the key to supply chain management. However, the symmetrical evaluation of enterprise trust is complex, so the decision-makers must understand its quantitative and qualitative characteristics in order to realize a reasonable evaluation. Based on the analysis of the causes and influencing factors of supply chain trust, this paper constructed four primary indexes and 16 secondary indexes to define enterprise trust, and used analytic network process (ANP) to evaluate and rank the indicators. Then, the paper constructed a supply chain directed weighted trust evolution network model based on complex network theory, integrated trust into the network with edge weights, and put forward the merit index of comprehensive node degree, weight, and efficiency to study the supply chain network evolution. The simulation results show that the node degree distribution in the trust evolution network conforms to the power-law distribution rule, and the trust evolution model of the complex network has obvious scale-free characteristics, which effectively avoid the situation that the node influence is too high due to the excessive strength of a single index. At the same time, it can quickly evaluate the node influence of the directed weighted complex network, and provide certain practical value for the node trust prediction of the supply chain network.

We study the strategic pricing decision models of manufacture-led dual-channel supply chains with the free-rider problem under the service level and cost. We use the Stackelberg model to study the impact of the degree with the free-rider problem of consumers on the optimal pricing strategy and the optimal service level of the dual-channel supply chain under various decision-making modes and carry out a numerical simulation. The main conclusions are as follows: In the retailer’s dual-channel supply chain, the deepening of consumer free-riding behavior will reduce the enthusiasm of retailers, but the weak position of the channel will lead to improved service levels and reduced prices, as well as to increase the wholesale price to cover costs. In the manufacturer’s dual-channel supply chain, the deepening of consumer free-riding behavior will lead to a decline in the retailers’ service level and enthusiasm, as well as to a decrease in the wholesale prices and retailers’ pricing. In the two types of dual-channel supply chains, the demand of manufacturers’ network channels increases, the price increases first and then decreases, and the profits of all supply chain members decrease with the increase in the free-rider coefficient of consumers. Finally, we use numerical simulation to verify the validity of the above conclusions, which provides a scientific basis to make optimal pricing decisions in the manufacturer-led dual-channel supply chain.