With the diversified application of big data, cloud computing, artificial intelligence (AI) and other technologies in various management scenarios, technology-enabled management has received more and more attention. Robotic process automation (RPA) refers to business process software technology applied in various industries, including the accounting and auditing industry, to automate well-defined, repetitive tasks. However, its application in customs management has lagged because of the unique nature of this field. This study outlines the introduction of RPA technology into post-clearance audit, discusses the concept, functions, foundations and application values, constructs a framework model and explains its research and development (R&D) process. The application and implementation of RPA is elaborated using unit consumption data analysis.

With the rapid development of knowledge and the digital economy, it is a crucial to understand the role of the digital economy in improving the innovation efficiency of universities. Using the panel data of universities in 31 Chinese provinces from 2013 to 2020, this paper measures the regional innovation efficiency of Chinese universities and examines the impact of the digital economy on universities’ innovation by employing the super-efficiency DEA model along with the Malmquist index, kernel density estimation and Theil index. The analysis shows the following: (1) The digital economy has a significant positive impact on the efficiency of university innovation, but there is still much room for improvement. (2) In terms of the dynamic evolution of innovation efficiency, Chinese university performance shows a trend toward declining innovation efficiency, and the issue of inadequate investment in technical innovation is discovered, which urgently needs to be addressed. The findings of this paper offer empirical support for understanding the relationship between digital economy growth and university innovation productivity with important ramifications for the innovative expansion of higher education institutions in emerging nations.

Renewable energy is absolutely necessary in order to stop the deterioration of the environment and to guarantee reliable access to environmentally friendly energy sources. Based on the conformity theory, logistic regression, propensity score matching, and stepwise regression are all used in the current study to investigate the mediating role of green intentions in the conformity tendencies of Chinese farmers’ adoption of renewable energy sources. This research was motivated by the notion of the dissemination of innovations as well as the technological adoption model, and it aims to shed light on how individuals are socialized and how green intentions mediate their conformity tendencies to adopt renewable energy sources. The results revealed that the average age of the farmers was 42 years, and they were primary school graduates. More than 50% were male. Almost 26% of farmers reported that they use renewable energy sources on their farms. Generally, the farmers were green intended and would like to adopt renewable energy sources. The regression results disclosed a significant impact of socially inspired peer adoption (p<0.01) on the farmers’ adoption of renewable energy sources. Renewable energy adoption is impacted more by the adoption of strong connections than by the adoption of renewable energy by weak relations, which means that farmers are more likely to adopt renewable energy if their peers also do so. Nevertheless, the extent to which farmers have green intentions regarding the use of renewable energy technology had a significant influence on the farmers’ conformity tendencies, influenced by the different intensities of their social networks.

With the market as an important means of allocating resources, marketization reforms are important for promoting economic growth in developing countries. This paper empirically analyses the relationship between the level of marketization and economic growth via panel data of 26 transition countries over the period of 1995–2022. The results show that an increase in the level of marketization has a heterogeneous effect on economic growth in transition countries. Instead, the increase in economic freedom weakens the contribution of labor and capital inputs to economic growth. A deviation of a country’s index of economic freedom from the optimal level of marketization can result in a loss of efficiency in resource allocation. This finding suggests that the promotion mechanism of economic growth by an increase in the level of marketization is constrained by many factors in a country. Therefore, developing countries should pay attention to the market failure caused by the conflict between formal and informal systems in the process of promoting market-oriented reforms. While nonmarket approaches can address market failures, they may also lag behind the needs of economic development. Developing countries should promote market-oriented reforms in light of their own realities and pay attention to the areas and pace of market-oriented reforms.

A total of 217 questionnaires were used to empirically test the mechanism and effect of long-term orientation and governance mode preference on dual innovation in family firms. The data analysis shows that family firms' long-term orientation values have a positive effect on both contractual and relational governance modes, long-term orientation values have a significant positive effect on dual innovation, family firms' contractual and relational governance have an inverted U-shaped effect on dual innovation, and slack resources have a positive moderating effect on the relationship between family firms' long-term orientation values and exploratory innovation.