In the context of the continuous development of Internet technology and international logistics, the impact of cross-border e-commerce is expanding. Cross-border e-commerce transactions are characterized by a wide variety of products, low prices, and short procurement times. As a result, consumers are increasingly intention to shop on cross-border e-commerce platforms. The number of consumers placing orders is also increasing. Simultaneously, consumer perception, trust and attitude play crucial roles in influencing consumers' shopping behavior on cross-border e-commerce platforms. This study employs structural equation and intermediary effect analysis to explore the mechanism through which various factors influence consumers' purchase intention. The authors examine the relationship between five components: consumer perception, trust, attitude, and purchase intention. The findings reveal the following: (1) The improvement of consumers' perceived value and subjective display intention positively influences their purchase intention. Conversely, a decrease in these factors hampers consumers' intention to buy. (2) When the level of shopping risk increases, consumers' purchase intention tends to decrease. Conversely, when the risk of shopping is reduced, consumers' intention to buy shows an increase. (3) Consumer trust and attitude play a significant mediating role in the relationship between independent variables and dependent variables. This study lays an important theoretical foundation for future research in this field. It expands the application scenarios of related research methods. Additionally, the conclusions of this study provide valuable references for managers of cross-border e-commerce enterprises in making informed management decisions.

This study develops a multiple mediating model for exploring the link between environmental regulation and financial performance through green dynamic capability, sustainability exploration/exploitation innovation, based on the data from 355 Chinese manufacturing firms. Empirical results support a mediating role of green dynamic capability and sustainability exploration/exploitation in the link between environmental regulation and financial performance, respectively. What’s more, our findings indicate that environmental regulation can help improve financial performance via two multiple mediating paths, i.e., green dynamic capability and sustainability exploration innovation, as well as green dynamic capability and sustainability exploitation innovation. These key findings will help to understand how important green dynamic capability and sustainable innovation is when Chinese manufacturing firms establish a business-politics tie.

The links among firms’ environmental regulation, innovation process, and sustainable development has been analyzed, but a research gap still remains in terms of environmental commitment and different types of sustainable innovation in firms’ sustainability. Through collecting a dataset of 380 valid respondents from Chinese manufacturing firms, this paper incorporates evironmental regulation, environmental commitment, sustainability exploration innovation, sustainability exploitation innovation, environmental performance, and business performance into a multiple mediating effect model. Our key emperical findings are as follows: (1) Environmental regulation not only cannot affect environmental performance and business performance, but also cannot affect the two types of firm performance through sustainability exploration innovation or sustainability exploitation innovation; (2) The relationship between environmental regulation, environmental performance (or business performance) is subsequently mediated by both environmental commitment and sustainability exploitation innovation; (3) Environmental regulation does not affect environmental performance (or business performance) through environmental commitment and sustainability exploration innovation. These results do, however, support the Porter Hypothesis in terms of revealing a new multiple mediating effect path dominated by environmental commitment and sustainability exploitation innovation. Our findings can provide a better understanding of how environmental commitment and sustainability exploitation innovation play a key effect in helping firms relieve the pressure from environmental regulation, and thus improve their environmental management while keeping their competitive edge.

The patent portfolio affects the research and development (R&D) decisions of artificial intelligence enterprises, and provides rights protection for the enterprise’s product market, which is of great practical significance for the realization of innovation performance. The aim of this paper is to discover how the patent portfolio of artificial intelligence enterprises affects the relationship between R&D intensity and innovation performance. Based on the panel data of 164 listed enterprises in the A-share artificial intelligence concept sector of China, using the panel fixed effect regression method, the impact of R&D intensity on innovation performance was analyzed, and the moderating effect of the three dimensions of the patent portfolio on the two was examined. Studies have shown that the impact of R&D intensity on innovation performance is in an inverted U-shaped relationship. In addition, the diversity characteristics of the patent portfolio have a moderating effect on the relationship between R&D intensity and innovation performance, and when the enterprise is at a high level of diversity, the two have a U-shaped flip relationship. The size of the patent portfolio has a positive impact on innovation performance. The research results have theoretical and practical significance for the implementation of effective R&D management in artificial intelligence enterprise organizations.

Background: As human beings enter the digital age, the impact of the digital economy on environmental regulation and corporate green technology innovation (CGTI) is expanding. In order to effectively strengthen the efficacy of environmental regulation and improve the green technology innovation ability of corporate, this paper conducts in-depth research on the influence process of the digital economy and environmental regulation on the CGTI. Methods: Based on the mediating variable environmental regulation, this paper explores the influence process of the digital economy on CGTI. Combined with empirical analysis methods such as the fixed-effect model, mediating effect model, spatial model and regression analysis, the authors reveal the influence process of the digital economy on CGTI. Results: The digital economy can directly promote the improvement of the green technology innovation level of CGTI. The digital economy can indirectly affect the CGTI through the mediating variable of environmental regulation, marginal effect and spatial spillover effect. Conclusions: The digital economy and CGTI had a significant spatial correlation among different regions in China. In different regions of China, there are significant differences in the relationship between the digital economy, environmental regulation and CGTI.