The increasing focus on environmental, social, and corporate governance (ESG) has led to a growing interest in how firms’ internal behaviors affect their contributions in promoting sustainable economic development and fulfilling social responsibility. While previous studies have often explored the impact of internal controls on corporate investment decisions, little attention has been paid to the impact of internal controls on corporate green innovation. To this end, we explored the relationship between internal control, environmental investment, and green innovation using data from 2014–2019 for A-share listed companies in Shanghai and Shenzhen, China. The regression results show that there is a significant positive relationship between internal control and corporate green innovation. The improvement of internal control has a significant positive impact on firms’ active adoption of environmental protection investment. Environmental investment plays a partially mediating role in the process of internal control’s influence on green innovation. This implies that the effect of internal control on green innovation further affects green innovation through the indirect effect of environmental investment, in addition to the direct effect. Moreover, through further research, we find that the above influence relationship is significantly present in both heavily polluting and non-heavily polluting enterprises, as well as in state-owned and private enterprises, but is more significant in heavily polluting firms and private firms. Finally, this study responds to the debate on whether internal controls inhibit or promote enterprise innovation. We advocate further research on this issue in the future in terms of the differences in the accountability systems and customs of firms’ decision-making in different countries.

There is no doubt that the primary reason that firms encourage knowledge sharing is to drive innovation. As nutrients for innovation, what role do the different elements of intellectual capital play in this relationship? When we consider the ambidexterity of enterprise innovation—exploratory and exploitative—how do the different elements of intellectual capital affect the relationship between them? This study adopts a triadic perspective to divide intellectual capital into human, structural and relational capital. We analyzed 349 questionnaires from high-tech enterprises and found that knowledge sharing had a significantly positive effect on all three elements of intellectual capital, and human capital and structural capital had a positive effect on ambidextrous innovation. Relational capital had a positive effect on exploitative innovation but no significant effect on exploratory innovation. Unexpectedly, there was no direct effect of knowledge sharing on ambidextrous innovation, and the elements of intellectual capital play full mediations among them. This may suggest that firms should pay more attention to the role of relational capital when they adopt exploitative innovation. At the same time, we remind managers that innovation may be promoted only when knowledge sharing increases intellectual capital. Therefore, the misuse of management tools should be avoided, and ineffective management practices should be reduced. In addition, we explored the relationship between knowledge sharing and the open innovation paradigm and made some suggestions for future research.

The new wave of interest in mobile workplaces is profoundly changing the internal ecology of Chinese companies and creating new stress for employees. To investigate the mechanisms of mobile workplace stress on employee innovative behavior and the role of work–family conflict and employee engagement, we collected 426 valid samples from married male employees in the software and information service industries. The results show that mobile workplace stress has a significant negative effect on employee innovative behavior. In contrast, it has a significant positive effect on work–family conflict and employee engagement. In addition, work–family conflict partially mediates the relationship between mobile workplace stress and employee innovative behavior; employee engagement produces the suppressing effects. The chain intermediary effect of work–family conflict and employee engagement between the mobile workplace and employee innovative behavior is present. When we focus on the high performance of the mobile workplace, we should also pay attention to its impact on the company’s ability for innovation.

The study explores the relationship between internal control effectiveness, corporate social responsibility (CSR), and technological innovation. By establishing a mediating effect model, we analyzed the effect of internal control effectiveness on technological innovation. The study selected the data of Chinese A-share listed companies between 2014 and 2019 as the sample. The sources of variable indicators include China Stock Market and Accounting Research (CSMAR), DIB Internal Control database, and Hexun CSR score. The empirical study shows that internal control effectiveness is significantly and positively related to technological innovation. Enhancing internal control effectiveness has a significant positive effect on the fulfillment of corporate social responsibility. In the process of internal control effectiveness on technological innovation, corporate social responsibility functions as a mediating variable and plays a partial mediating role. The study provides empirical data to support listed companies’ emphasis on internal control and active fulfillment of social responsibility, thereby enhancing their technological innovation performance.

This study explores the challenges and theoretical transformations that the widespread application of AI technology in social governance brings to the protection of citizens’ fundamental rights. By examining typical cases in judicial assistance, technology-enabled law enforcement, and welfare supervision, it explains how AI characteristics such as algorithmic opacity, data bias, and automated decision-making affect fundamental rights including due process, equal protection, and privacy. The article traces the historical evolution of privacy theory from physical space protection to informational self-determination and further to modern data rights, pointing out the inadequacy of traditional rights-protection paradigms in addressing the characteristics of AI technology. Through analyzing AI-governance models in the European Union, the United States, Northeast Asia, and international organizations, it demonstrates diverse governance approaches ranging from systematic risk regulation to decentralized industry regulation. With a special focus on China, the article analyzes the special challenges faced in AI governance and proposes specific recommendations for improving AI-governance paths. The article argues that only within the track of the rule of law, through continuous theoretical innovation, institutional construction, and international cooperation, can AI technology development be ensured to serve human dignity, freedom, and fair justice.

Promoting technological innovation is an essential issue for enterprises to maintain sustainable development in a highly competitive environment. Previous studies have focused on exploring the linear relationship between intellectual capital and technological innovation, ignoring the possibility of a non-linear relationship between them. This study draws on a dualistic view of intellectual capital and divides it into two elements: human capital and structural capital. Based on the factor endowment theory, we explored the non-linear relationship between intellectual capital and technological innovation, using the data of Chinese A-share listed companies from 2014 to 2019 as the sample, and then analyzed the moderating effect of corporate social responsibility (CSR) on their relationship. The results of the OLS regressions indicated a significant U-shaped relationship between intellectual capital and its elements on technological innovation. This means a “regressive” effect of low levels of intellectual capital on technological innovation and an “incremental” effect of high levels of intellectual capital on technological innovation. Improving CSR could positively enhance the U-shaped effect of intellectual capital on technological innovation. A further study found that the U-shaped effects of intellectual capital and human capital on technological innovation were still supported in state-owned and private enterprises. The U-shaped effect of structural capital on technological innovation was still supported in private enterprises but not in state-owned enterprises. This study explored the relationship between intellectual capital and technological innovation from a unique perspective. It provides a theoretical basis for enterprises to appropriately fulfill their social responsibility and actively promote technological innovation.