Green innovation strategy (GIS) is an appropriate choice for most enterprises to deal with environmental problems. Organizational green learning (OGL) enables enterprises to obtain more updated environmental knowledge and promote green innovation performance (GIP). It is unclear whether adopting green innovation strategy is inevitably beneficial to green product innovation and green process innovation, and the studies in this area are still incomplete. According to the Natural Resource-Based View and Knowledge-Based View, this study advances a conditional processmodel to understand how green innovation strategy impacts green innovation performance through organizational green learning in a context of green technological turbulence (GTT). We conducted an empirical study with a probabilistic sample of 316 innovative enterprises using the partial least squares and regression analysis in order to verify the research framework. The results show a positive relationship between green innovation strategy and green innovation performance, organizational green learning played a partial mediating effect, and green technology turbulence significantly moderated the relationship between organizational green learning and green innovation performance. The impact of organizational green learning on green innovation performance is greater when green technology turbulence is higher than when it is low. These findings extend the green innovation performance research and practice.

Environmental issues are a significant field in both research and practice. Manufacturing enterprises are adopting sustainable initiatives to achieve efficient resource usage, emissions reduction, energy utilization reduction, and improve waste management. Therefore, drawing on ecological modernization theory (EMT) and knowledge-based theory (KBT), this study proposes a comprehensive framework for the relationships among environmental innovation strategy (EIS), green knowledge sharing (GKS), organizational green learning (OGL), and green competitiveness (GC), through literature review; after, a survey questionnaire method was employed, and multiple-regression method was used for the analysis. The empirical results show that environmental innovation strategy has a positive effect on green competitiveness; the green knowledge sharing and organizational green learning chain mediates the relationship between environmental innovation strategy and green competitiveness. The results further reveal that green knowledge sharing and organizational green learning are crucial paths for manufacturing enterprises to enhance green competitiveness in implementing their environmental innovation strategies. This study extends previous research by emphasizing the importance of environmental innovation strategy in the context of sustainable development, and enriches existing research related to green competitiveness.

As environmental pressures intensify and digital technology advances rapidly, many countries, including China, are looking to more effectively heed social and environmental responsibilities by effectively integrating digital technology with traditional industries. Digital green innovation is gradually becoming a necessary direction for enterprises in various countries as they strive for high-quality development. How enterprises can achieve digital green innovation through the duality of digitalization and sustainability has become a crucial research question. However, existing research rarely addresses the mechanisms that lead to the formation of digital green innovation within enterprises. This study uses a sample of 305 manufacturing enterprises in China. Based on strategic orientation theory, this study introduces the concept of digital sustainability orientation, integrating both digital and sustainability orientations. A model is constructed to examine the impact of digital sustainability orientation on digital green innovation in enterprises, analyzing the mechanism of action through the mediation of capability reconfiguration and the moderation of environmental scanning. The study finds that digital sustainability orientation significantly positively impacts digital green innovation, highlighting the integrated effect of digital and sustainability orientations. The findings indicate that digital sustainability orientation significantly positively impacts digital green innovation, whereas a single strategic orientation does not effectively promote digital green innovation; capability reconfiguration partially mediates the relationship between digital sustainability orientation and digital green innovation in enterprises; and environmental scanning positively moderates the relationship between digital sustainability orientation and capability reconfiguration and further influences the mediating role of capability reconfiguration. This study contributes to the advancement of digital sustainability theory in the field of digital green innovation; moreover, the results of this study offer significant practical insights for enterprises aiming to successfully implement digital green innovation.

The adoption of digital technologies (DTs) in the workplace has emerged as a core driver of organizational effectiveness, and many studies have explored the intrinsic connection between the two. However, due to the wide range of subdivisions of employee performance, existing studies present inconsistent research conclusions on the implementation effects of DTs and lack a systematic review of their impact on employee psychology and behavior for large sample data. To address this issue, employing a random-effects model and a psychometric meta-analysis approach based on subgroup and meta-regression analyses, this study examines 106 empirical studies, comprising 119 effect sizes. The findings reveal that DTs exhibit a “double-edged sword” effect. On the bright side, DTs significantly enhance task performance, innovation performance, employee engagement, job satisfaction, and job efficacy. On the dark side, DTs aggravate service sabotage, withdrawal behavior, job burnout, and work anxiety and have a suppressive effect on job well-being, while their influence on turnover intention is non-significant. Furthermore, this study identifies the moderating effects of industry characteristics, technology usage types, and demographic factors on the relationships between DTs and behavioral and psychological outcomes. The research conclusions help clarify the logical relationship between DTs and employee psychology and behavior and provide explanations for the differentiated research conclusions of previous studies. This study provides information for scientific management decisions regarding DTs in the workplace.

Green finance is currently a key driver of China’s economic green transformation, but its impact on green total factor productivity (GTFP) mechanisms still needs further examination. Based on clarifying the theoretical mechanism of the impact of green finance on GTFP, this study uses the SBM model, which includes unexpected output, to calculate the GTFP of 30 provinces in China from 2006 to 2020. It further breaks down GTFP into green technical efficiency change (EC) and green technical change (TC) and explores in detail the internal mechanism of the impact of green finance on GTFP, as well as its channels of action from the perspectives of technology transaction activity and financial development. The study finds that green finance can significantly improve GTFP, and its impact mechanism is mainly achieved through the promotion of green technical change. Stimulating the activity of the technology transaction market and improving the level of financial development are powerful channels for green finance to improve GTFP. The study also shows that the impact of green finance is relatively robust when dividing the 30 provinces of China into coastal, inland, eastern, central, and western regions. Due to the lack of financial development and abundant natural resources, the impact of green finance is not significant in the western region. These conclusions not only provide new research perspectives and supplementary empirical evidence for understanding the impact of green finance on GTFP, but also provide useful references for further improving relevant policies and promoting China’s economic development and transformation.

The promotion of high-quality, environmentally sustainable practices in enterprises in the digital age has become an important topic in business and academic circles. In this study, by employing a perspective combining digital orientation (DO) and sustainability commitment orientation (SCO), the concept of digital sustainability orientation (DSO) is presented, and digital green capability (DGC) is introduced as the mediating variable. Moreover, the driving mechanism model of corporate environmental sustainability practice (ESP) is constructed, and the moderating role of environmental scanning (ES) is taken into consideration. Using two sets of research data from 353 manufacturing enterprises in China, the empirical test results show that DSO has a significant role in improving ESP, and DGC is important in mediating between DSO and ESP. ES acts as a moderating variable between DSO and DGC and further moderates the mediating role of DGC between DSO and EPS; that is, the stronger the ES, the more significant the mediating effect of DGC. The conclusion of this study broadens the application scope of strategic orientation theory in the study of digital sustainability and has theoretical and practical implications for exploring the development of DGC and the dynamic mechanism of ESP.