How organizational psychological ownership affects corporate green operations - Based on a social exchange theory perspective

The mechanism of cooperative innovation (CI) for high-tech firms aims to improve their technological innovation performance. It is the effective integration of the internal and external innovation resources of these firms, along with the simultaneous reduction in the uncertainty of technological innovation and the maintenance of the comparative advantage of the firms in the competition. This study used 322 high-tech firms as our sample, which were located in 33 national innovation demonstration bases identified by the Chinese government. We implemented a multiple linear regression to test the impact of CI conducted by these high-tech firms at the level of their technological innovation performance. In addition, the study further examined the moderating effect of two boundary conditions—big data capabilities and policy support (PS)—on the main hypotheses. Our study found that high-tech firms carrying out CI can effectively improve their technological innovation performance, with big data capabilities and PS significantly enhancing the degree of this influence. The study reveals the intrinsic mechanism of the impact of CI on the technological innovation performance of high-tech firms, which, to a certain extent, expands the application context of CI and enriches the research perspective on the impact of CI on the innovation performance of firms. At the same time, the findings provide insight for how high-tech firms in the digital era can make reasonable use of data empowerment in the process of CI to achieve improved technological innovation performance.

The COVID-19 pandemic has deprived travelers of the right to continue their travel or leisure activities, while creating concerns about the safety of travel. In view of the great impact of the COVID-19 pandemic on travelers, we discussed the impact of virtual reality on travel anxiety during the COVID-19 pandemic, and considered the regulatory effect of blockade intensity. In order to explore the relationship between virtual reality and travel anxiety in depth, this study conducted a questionnaire survey on 299 Chinese tourists who had experienced virtual reality activities related to travel, and empirically analyzed the questionnaire data using SPSS 26 software. The results show that virtual reality has a significant negative effect on travel anxiety during the COVID-19 pandemic, i.e., virtual reality technology can provide a safer virtual travel experience for people and reduce their travel anxiety. At the same time, the relationship between virtual reality and travel anxiety varied to some extent depending on the intensity of the lockdown in each region, with the mitigating effect of virtual reality on travel anxiety being enhanced by high levels of lockdown. Therefore, we believe that although lockdown policies are necessary for some time to come, travel companies need to make further efforts to provide more convenient virtual reality services to alleviate travel anxiety caused by COVID-19 pandemic and lockdown to tourists. At the same time, virtual reality opens up new ideas for travel businesses under the impact of COVID-19 and contributes to the sustainable development of the travel industry.

Purpose: The outbreak of COVID-19 made a huge impact on firms and also had an important influence on their digital development strategies. Using difference-in-differences (DID) model, this study investigates the influence of COVID-19 shock on digital transformation (DT). Design/methodology/approach: This study conducts a natural experiment based on COVID-19 shock and use machine learning methods to measure the level of digitalization of firms, and used DID model to explore the changes in the DT of firms before and after COVID-19 outbreak. Findings: The empirical results show that the DT process of firms in the experimental group was significantly accelerated after the outbreak of COVID-19, suggesting that COVID-19 shock has catalyzed an acceleration in the DT processes within firms. In addition to assessing the direct impact of COVID-19 on DT, this study also explores the influence mechanisms through which COVID-19 shock influences firm DT. The influence mechanism test shows that COVID-19 shock has compelled firms to accelerate their DT by increasing operational costs and reducing the stability of customer relationships. On this basis, this study also systematically explored the role of optimal allocation of external resources in the process of COVID-19 shock affecting DT of firms. This study found that COVID-19 shock was more significant in enhancing firm DT in situations characterized by advanced digital finance development and advanced labor aggregation. Furthermore, heterogeneity analysis shows that COVID-19 shock promotes DT more significantly with a higher degree of industry competition, a higher share of secondary industries in the region and in more market-oriented regions. Originality/value: This research provides new insights into dynamic process of DT catalyzed by the COVID-19, while also highlighting the critical role of external resources and market conditions in facilitating this transformation.