With the aging of the population and the upgrading of the consumption structure of national health demand in China, it has become a new trend for the public to actively seek health products and services on social networks. Based on the theory of reasoned behavior and the theory of expectancy confirmation, this study aims to analyze the cognitive factors and their effects on WeChat users’ purchase intention in the process of health product consumption. Considering that safety is a key feature of health products that distinguishes them from other consumer products, the “satisfaction” concept in the expectancy confirmation model is replaced by “trust” in this study. Two hundred and two (202) valid samples were collected by a questionnaire survey to analyze their intentions to buy health products on WeChat. Theoretical models and corresponding research hypotheses were verified by structural equation modeling. The research results show that emotional price and emotional experience are positively correlated with trust and purchase intention. There is an obvious negative correlation between privacy invasion and trust. Expectation confirmation is positively associated with trust. Moreover, the intermediary test shows that trust has completely mediated between emotional price and purchase intention, and trust also has a full intermediary effect on expectation confirmation and purchase intention.

As the Internet retail industry continues to rise, more and more consumers choose to shop online, especially Chinese consumers. Using consumer behavior data left on the Internet to predict repurchase behavior is of great significance for companies to achieve precision marketing. This paper proposes an improved deep forest model, and the interactive behavior characteristics of users and goods are added into the original feature model to predict the repurchase behavior of e-commerce consumers. Based on the Alibaba mobile e-commerce platform data set, first construct a feature engineering that includes user characteristics, product characteristics, and interactive behavior characteristics. And then use our proposed model to make predictions. Experiments show that the model’s overall performance with increased interactive behavior features is better and has higher accuracy. Compared with the existing prediction models, the improved deep forest model has certain advantages, which not only improves the prediction accuracy but also reduces the cost of training time.

Digitalization and servitization are two crucial transition pathways for manufacturing firms, with their relationship explored by some existing studies. However, there is limited research on the mechanism of their interaction's effect on the firm financial performance. To address the gap, this paper draws on service-dominant logic, resource-based view and dynamic capabilities theory to establish a theoretical model. A sample of 567 Chinese manufacturing firms is selected, and a mediated moderation model is used to explore this mechanism. The findings indicate that the interaction between digitalization and servitization has a positive effect on the firm financial performance, with firm innovation performance partially mediating the relationship. Besides, heterogeneity analysis reveals that this interactive effect is mainly manifested in capital and technology-intensive manufacturing sectors. Therefore, this paper suggests managers in manufacturing firms promote the interaction between digitalization and servitization, leveraging their synergy to advance the sustainable long-term development of both the manufacturing firm and industry.

This paper analyzes the adaptability of the line slope after the failure of the EMU and conducts a simulation calculation for the traction and braking capabilities of the CR400AF EMU. Combined with the test results of a long-slope line of a high-speed railway, a comparative analysis is carried out, and the restrictive conditions for the operation of the long-slope line are put forward. The relevant conclusions can provide reference for the railway bureau to organize on-site rescue of EMUs and formulate relevant emergency plans.

The ongoing COVID-19 has led to an increase in negative emotions and health awareness among consumers. This paper discusses the emotion bias of Chinese consumers during the three periods: the pre-COVID-19 period, the COVID-19 lockdown period, and the COVID-19 normalization period. This study takes health products as the research object and crawls relevant reviews on the JD platform to classify products. The data were classified into emotion, the intensity of emotion was calculated, and the logistic regression model and variance analysis were used to analyze the difference in emotion expression. The study reveals that consumers are willing to express fear and sadness during the COVID-19 lockdown era and are willing to express like emotions before the pandemic compared to the three periods. There are also differences in the emotional intensity of different product reviews. The intensity of emotional expression is more vigorous for consumers who purchase nutritional products, while for those who purchase healthcare equipment, the intensity of emotional expression is lower. This study offers the emotion bias of consumers in response to COVID-19 to provide a theoretical basis and reference solution for implementing marketing strategies for health product companies.