In the context of the digital economy and VUCA(volatility, uncertainty, complexity, ambiguity) era, digitally empowering operations management has become an important strategy for manufacturing enterprises to operate steadily and develop efficiently, but there is still insufficient research in academia on whether and how digital capabilities (DC) can improve enterprise operational performance (OP). Based on the theory of dynamic capabilities, questionnaire survey data from manufacturing enterprises in China was used to empirically analyze the influence mechanism and boundary conditions of DC on OP. The results indicate that DC (intelligence capability, connectivity capability and analysis capability) have a positive impact on OP, supply chain resilience (SCR) partially mediates the relationship between DC and OP. Strategic matching positively moderates the impact of connectivity capability and analytical capability on SCR, but has no significant moderating effect on the relationship between intelligence capability and SCR. These results can provide important practical implications for effectively promoting enterprise OP under the digital context.

Accelerating digital transformation and promoting the deep integration of digital technology with the real economy are urgent priorities for enterprises. Using listed companies from 2013 to 2023 as the sample, the impact of managerial ownership on corporate digital transformation was investigated. The results indicate that managerial ownership significantly promotes digital transformation within enterprises, and this finding remains robust even when accounting for endogeneity issues. This effect is particularly prominent in state-owned and high-tech enterprises. Mechanism analysis reveals that managerial ownership facilitates digital transformation by strengthening internal controls and curbing managerial short-sightedness.

Employees in science and technology enterprises was taken as the survey object, and dual work passion was taken as the intermediary variable to further explore the impact mechanism of career call on turnover intention. Based on the correlation analysis and regression analysis of 404 employee sample data collected by high-tech enterprises, the empirical study shows that career calling has a significant positive impact on work passion, but no significant impact on turnover intention. Forced work passion has a significant positive impact on turnover intention, while harmonious work passion has a significant negative impact on turnover intention. Work passion plays a completely intermediary role in career calling and turnover intention. Based on the research conclusions, it can be concluded that improving the occupational calling level of employees in science and technology enterprises can enhance the work passion of employees, reduce the turnover tendency and improve work efficiency.

Developing new quality productive forces is an inherent requirement and an important focus for promoting high-quality development. Based on the perspective of peer group effects, the industry peer group effects of the development level of new quality productive forces for A-share listed companies in China from 2011 to 2022 were examined. It is found that there is a significant peer group effect in the development of new quality productive forces in the industry-based peer group classification standard. In terms of the formation mechanism, the learning mechanism and competition mechanism are the main reasons for the peer group effect of new quality productive forces. The heterogeneity analysis shows that the new quality productive forces level of peer group enterprises can better promote the development of focal enterprises in the environment of state-owned enterprises and medium-level marketization process.

Using China’s listed manufacturing companies from 2011 to 2022 as research samples, whether government subsidies obtained by listed manufacturing companies affect the development of new quality productivity was empirically tested. The research results show that government subsidies can promote the manufacturing listed companies to improve the level of new quality productivity, and it is found that enterprise performance plays a certain intermediary role. The group test further distinguishes the property right nature and company size, and it is found that non-state-owned companies and small scale manufacturing listed companies can improve their new quality productivity more if they get government subsidies. This conclusion can provide some theoretical support for improving the level of new quality productivity of listed manufacturing companies, establishing a standardized government subsidy system, and reasonably determining government subsidy standards.

ESG(environmental, social, and governance)is a research hotspot under the background of the “dual carbon” goal and high-quality development. Based on the panel data of logistics enterprises from 2012 to 2022, the impact of ESG performance on the total factor productivity (TFP) of logistics enterprises was empirically tested. It is found that ESG has a significant positive impact on the improvement of logistics enterprises’ TFP, and the effect is more prominent in non-state-owned enterprises and large-scale enterprises. Further research shows that government subsidies and enterprise innovation play a mediating role in the process. The conclusion provides suggestions for promoting the green and high-quality development of the logistics industry.

The failure of AI(artificial intelligence)assistant services is essentially an algorithmic failure, and the “black box” nature of the algorithmic decision-making process exacerbates consumers’ negative reactions to service failures. A between-subjects experimental approach was adopted to explore the impact mechanism of enhancing algorithmic explainability from the perspective of perceived control through explainable artificial intelligence methods(such as post hoc explanations) on consumer behavior in the context of service failure, as well as the boundary conditions. It is found that when algorithmic explainability is enhanced (compared to the control), consumers’ continued intention to use despite service failure is improved, and consumers’ perceived control plays a partial mediating role in this process. However, the above effects are not significant when the anthropomorphism level of the AI assistant is low (compared to high).

Taking the listed companies of Shanghai and Shenzhen A-shares from 2013 to 2022 as samples, the impact of supply chain finance on corporate financial risks was verified through empirical research. The moderating effect of digital transformation on the above relationship was explored, and the mechanism and path through which supply chain finance affects financial risks was analyzed. The results show that supply chain finance can significantly reduce corporate financial risks,this reducing effect is more significant among small enterprises, high-tech enterprises and those in the manufacturing industry, digital transformation has a significant positive moderating effect on the above relationship, and the impact mechanism indicates that financing constraints have a significant mediating effect.

Affected by the complex situation at home and abroad, the financing cost of Chinese enterprises is high. The VAT policy is one of the key measures to reduce taxes and fees, which has a significant effect on reducing the burden on enterprises. A differentially differential model was used to explore the impact of this policy on corporate debt financing costs based on pilot data from some industries in 2018. The results show that after the implementation of the policy, the debt financing cost of enterprises has decreased significantly, especially in the non-state-owned, small and competitive industries of enterprises, while the impact on state-owned and large enterprises is small. This result can provide a basis for further deepening the tax rebate policy and helps promote the healthy and sustainable development of enterprises.

Government officials, motivated by promotion, have unreasonably pursued the increase in the number of patents. As a result, innovation subjects only pay attention to the increase in the number of patents, ignoring the improvement of patent quality, and thus affecting economic growth. Based on the conflict between administrative incentive and market choice, the deep causes of the malformation of patent structure in China at the theoretical level were analyzed, and the fixed effect model was used for empirical analysis to verify it. It can be concluded that the crude quantitative assessment system leads to inefficient allocation of scientific and technological research resources, and a new assessment system based on quality and quantity must be established in order to completely change the deformed patent structure.