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.

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 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.

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.

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.

Based on the digital service trade data of major OECD countries and China from 2009 to 2021, according to the calculation of their digital service trade Market Share, Trade Competitiveness Index, and Revealed Comparative Advantage Index, thoroughly analyzing the overall competitiveness and sub industry competitiveness of digital service trade in these countries, the influencing factors of digital service trade competitiveness were analyzed using a bidirectional fixed effects model. Research has shown that human capital, economic development level, internet development scale, and research and development level in the service industry in these countries have a significant positive impact on the competitiveness of digital service trade, while foreign direct investment has an insignificant inhibitory effect. In this regard, China should base itself on the advantages of traditional trade in goods and drive digital service trade to "overtake on curves". Increase investment in digital technology research and development, and utilize technology to empower efficiency changes in the digital service trade industry; Strengthen the construction of digital infrastructure and consolidate the foundation for the development of digital service trade. Increase talent cultivation in the digital service industry and strengthen intellectual support for the industry.

How to promote high-quality full employment through digital trade in the new development stage has attracted much attention. Based on the panel data of 30 provinces (municipalities and autonomous regions) (Due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province.) in China from 2013 to 2020, the development level of digital trade and high-quality full employment was measured by using the entropy method. It theoretically explains and empirically tests the impact of digital trade on high-quality full employment and its mechanism. The research shows that digital trade has a significant role in promoting high-quality full employment during the investigation period, and the conclusion remains robust after considering endogeneity. The results of mechanism test reveal that the upgrading of industrial structure and the accumulation of human capital play an important role as intermediary channels from the demand and supply side of labor force respectively. Threshold analysis shows that the higher the level of digital trade, the stronger the promotion of high-quality full employment. The spatial spillover test found that the development of local digital trade has a positive spillover effect on neighboring employment. In the heterogeneity test, digital trade plays a greater role in promoting high-quality employment than full employment, and its role in the eastern region is stronger than that in the central and western regions. The research conclusions provide theoretical basis, empirical support and policy reference for a more comprehensive study of the impact of digital trade on high-quality full employment.

The dual integration policy has promoted the transformation of the new energy vehicle market layout, and for automobile enterprises, collaborative innovation was conducive to enhance international core competitiveness of innovation ability. In this context, a tripartite game matrix of new energy vehicle enterprises, traditional vehicle enterprises and the government was built, and the influence of relevant parameters on that tripartite game was studied through MATLAB numerical simulation. There are three conclusions auto companies always choose collaborative innovation, but their willingness towards collaborative innovation is affected by the average income of new energy vehicles, the total number of orders in the new energy vehicle market, and the grabbing of market share. In the context of the dual points policy, the government has shifted from the direct leader to the indirect supervisor, and the strategy choice of auto enterprises is nearly not affected by the government incentives. The government's willingness to participate in collaborative innovation becomes stronger with the growth of the average income of new energy vehicles, the NEV points income of auto enterprises, the total number of market orders and the corporate income tax rate, while it becomes weaker with the growth of incentive costs and supervision costs. The research will contribute to the precise implementation of high-quality and sustainable development of China's new energy vehicle industry under the dual integration policy.

With the return of Huawei Mate60 Pro, domestic consumers' enthusiasm for domestic trendy brands has been reignited. At the same time, the sales volume of domestic products on major e-commerce platforms has grown rapidly in recent years. Domestic-trendy-brands activity , online store pre-sales and live sales have become important ways for consumers to purchase domestic products. However, it is crucial to explore how to utilizing the platform economy and the power of e-commerce to transform consumers' enthusiasm into consumption habits and encourage consumers to form a normalized purchasing willingness. The grounded theory and partial least-square quantitative analysis method are the main research methods to verify the intermediary role of e-commerce platforms in promoting the formation of domestic consumption habits. The results suggests that e-commerce platforms should focus on satisfying consumers' spiritual pursuits based on Chinese culture when carrying out domestic sales activities. The results obtained by this study lays a theoretical foundation for future practices and fills the gaps in related research.