Based on the quasi-natural experiment of "reverse mixed ownership reform", two types of strategic emerging industries, namely high-tech, energy conservation and environmental protection where "reverse ownership mixed reform" is common, were taken as research objects, to test the influence of “reverse mixed ownership reform" on green innovation of private enterprises. The results show that "reverse mixed ownership reform" can promote green innovation of private enterprises in strategic emerging industries. The mechanism test show that "reverse mixed ownership reform" has the "dual effect" of developing specialization and easing financing constraints, which is conducive to promoting the "moat" and "reservoir" of green innovation development of private enterprises. Based on the comparative analysis of representative industries, it is found that the reasonable design and strengthening of environmental regulations can effectively promote the synergistic effect of "reverse mixed ownership reform" on green innovation of private enterprises in high-tech industries, and the moderate strengthening and incentive of innovation subsidy policy can effectively promote the complementary effect of "reverse mixed ownership reform" on green innovation of private enterprises in energy conservation and environmental protection industries. These conclusions reveal the influence law of " reverse mixed ownership reform" on promoting green innovation of private enterprises, and provide theoretical and policy inspiration for promoting the high-quality development of strategic emerging industries.

Digital technology and data elements have become an important means to achieve technological innovation in China's manufacturing enterprises. It is necessary to deeply analyze the whole process of digital empowering manufacturing enterprises to achieve technological innovation from the perspective of data management. Based on the data life cycle theory, the exploratory case study method was used to build a theoretical model of digital empowerment for manufacturing enterprise to achieve technology innovation. It is found that different digital technologies are adopted in the main activities of the value chain of manufacturing enterprises based on their functions and objectives. Digital technology can connect production processes, R&D processes, and marketing systems and then empower technology innovation with data life cycle management. Namely, in the production process, the full process dynamic feedback empowerment mechanism is that IoT and intelligent manufacturing systems could promote process innovation through data collection, transmission and monitoring. In the marketing system, the comprehensive demand two-dimensional reverse empowerment mechanism is that big data technology could promote product innovation through data collection, analysis and visualization. In the R&D process, the full connectivity empowerment mechanism is that its own digital upgrade and digital platform could promote interaction innovation through data collection, sharing and integration.

The triadic interaction relationship among online platform, service providers, and customers makes the situation more complicated after service failures occur, and the effectiveness of service recovery in this scenario deserves more attention. The impact mechanisms of service recovery in online travel platform systems were investigated from the perspectives of employee behavior and relationship quality through scenario experiments. The results show that the relationship quality between customers and service providers, and between customers and online platforms is positively affected by high warmth and low competence of service providers' employees. The relationship quality between customers and online platforms is positively affected by the relationship quality between customers and service providers. The customers' willingness to forgive the online platforms is positively affected by the relationship quality between customers and online platforms. The above findings are helpful to enrich the service recovery theory, explore the antecedents of customer forgiveness intention in the online platform ecosystem, and guide the improvement of the management of service providers and the maintenance of customer relationships on the tourism platform.

Based on the data of listed companies in China's A-share manufacturing industry, multi-time point DID method (PSM-DID) based on propensity score matching was adopted to investigate the impact and mechanism of the robot application on the pay gap within company. The results show that the application of robots can significantly reduce the pay gap within company. The results remain robust after a series of robustness tests such as changing explanatory variables. The robot application can reduce the pay gap within company by promoting innovation and curbing earning management. Heterogeneity test results show that the impact of robot application on the intra-company pay gap is more significant in large and capital-intensive enterprises. Further research finds that the application of robots can significantly reduce the pay gap within company by reducing the excess pay of executives and then narrowing the excess pay gap. It provides a new perspective for exploring the governance mechanism of internal pay gap within company, and provides an important reference for China to realize income equity while promoting the transformation and upgrading of manufacturing industry.

Green R&D subsidies refer to financial subsidies provided by the central or local governments to encourage enterprises to engage in green technology innovation activities such as resource conservation and environmental protection. Based on the panel data of Chinese listed companies from 2011 to 2020, the incentive effects of green R&D subsidies on the quantity and quality of green technology innovation was empirically examined using a two-way fixed effect model. The results show that green R&D subsidy can promote green technology innovation. The green R&D subsidy has a heterogeneous effect on the incentive of green technology innovation, showing that the promotion effect on the quantity of green technology innovation is better than the quality. Enterprises cater to green R&D subsidies, which leads to a "strong quantity, weak quality" incentive heterogeneous effect. The incentive heterogeneity of green R&D subsidies is affected by the difference of industrial pollution degree and environmental regulation intensity. Compared with heavily polluting industries, the incentive effect of green R&D subsidies on non-heavily polluting industries is better, but the existence of catering behavior will also lead to the incentive effect of "strong quantity and weak quality". Regional green R&D subsidies with strong environmental regulations can promote the "incremental improvement" of green technology innovation of enterprises, indicating that strong regulations can restrict the catering behavior of enterprises' strategic innovation. It not only deepens the quantitative research on green R&D subsidies, but also identifies and tests the distorting effect of catering behavior, providing micro-empirical support and countermeasures for improving the formulation and issuance of green R&D subsidy standards and promoting enterprises' high-quality green technology innovation.

With the continuous infiltration of clan culture into enterprises, Chinese enterprises inevitably face the institutional complexity brought by the coexistence of clan culture logic and enterprise logic. How to effectively deal with the institutional complexity in the process of technological innovation presents a theoretical puzzle. Anchored on strategic response to institutional complexity viewpoint, how enterprises strategically respond to institutional complexity, specifically under the influence of clan culture, with the aim of ultimately impacting the technological innovation performance of enterprises was explored. Through the analysis of a survey and archive dataset of 193 firms in China, results show clan culture has an inverse U-shaped effect on technological innovation performance. Resource flexibility mediates the inverse U-shaped effect of clan culture on technological innovation performance. Coordination flexibility mediates the inverse U-shaped effect of clan culture on technological innovation performance. Regional financial development enhances the positive impact of clan culture on technological innovation performance when the level of clan culture is low, and also enhances the negative impact of clan culture on technological innovation performance when the level of clan culture is high. Taken together, the results substantiate the influence mechanism of clan culture on technological innovation and provide practical implications for Chinese local technological innovation management.

In the era of digital economy, the digital transformation of enterprises cannot be separated from the development of digital technology and the embedding of digital products. Under the catalysis of both, disruptive innovation at multiple ends has become a new normal for enterprise transformation. How to empower manufacturing enterprises with disruptive innovation through digital transformation to form digital disruptive innovation is an expandable research question. Taking Weichai Group as an example, based on the theory of disruptive innovation and through the analysis of procedural grounded theory, the aim is to explore the process mechanism and formation path of digital disruptive innovation in manufacturing enterprises. The results indicate that enterprises need to go through three stages of digital disruptive innovation: drive, transformation, and diversification. In the driving phase, enterprises are influenced by internal and external driving factors and initiate digital disruptive innovation. In the transformation stage, enterprises take the transformation of production modes and the evolution of organizational structures as their action paths, and achieve disruptive digital innovation through digitalization both inside and outside the enterprise. In the diversified stage, by achieving digital disruptive innovation in the business ecosystem, innovation extension is formed, forming a digital business ecosystem model, and completing disruptive innovation transformation.

Based on the sample data of A-share listed manufacturing companies in China from 2007 to 2021, the existence, mechanism, and influencing factors of the peer effects on servitization in Chinese manufacturing enterprises were studied. There exists regional peer effects on servitization, and the conclusion is still valid after a series of robustness tests. Learning and imitation is the mechanism by which the peer effects on enterprise servitization, and the degree of market competition is an important factor affecting the peer effects on servitization. Heterogeneity in the peer effects on enterprise servitization has been found by further research. Enterprises with a low proportion of fixed assets or a high degree of customer concentration have a more significant peer effects on servitization.

Enterprises build an innovation ecosystem of value co-creation through the network collaboration of innovation entities, so as to perceive and adapt to the changes of the digital environment in the digital era. Therefore, it is necessary to explore the generation mechanism of the digital innovation ecosystem. Taking Huawei Automobile as the research object, the rooted analysis method was adopted and the construction mechanism and evolution path of Huawei Automobile digital innovation ecosystem was studied based on the theoretical perspective of dynamic capability. The findings are as follows. The digital innovation ecosystem built by digital innovation enterprises goes through three stages, with three evolutionary paths and four capabilities. The three stages are the innovation ecosystem of integrating digital resources, expanding digital resources and sharing digital resources. The three evolutionary paths are market demand, cross-border communication and network collaboration. The four abilities are information sensing, resource integration, resource acquisition and resource reorganization. The digital ecological environment and dynamic capability are the internal driving force to promote the continuous evolution of the digital innovation ecosystem, so that the organizational framework of the system is constantly upgraded, more innovation entities are derived, and a network collaborative framework is formed. The research conclusion has theoretical guidance and practical value for digital innovation enterprises to build digital innovation ecosystem.