The cross-border flow restriction indices of 10 exporting and 48 importing countries and the export data of six emerging digital service industries from 2014 to 2021 were matched using the OECD-DSTRI database. The impact of bilateral data cross-border flow restrictions on digital service exports was empirically examined, and a mechanism test and heterogeneity analysis were developed from multiple perspectives. It is shown that bilateral data cross-border flow restrictions inhibit digital service exports, and that data cross-border flow restrictions in exporting countries have a greater inhibitory effect on digital service exports than in importing countries. Heterogeneity analysis reveals that data cross-border flow restrictions between developed countries and EU countries hinder digital services exports to a lesser extent, and that the specific impact of these measures varies according to the type of digital services industry. Mechanism tests show that cross-border data flow restrictions hinder digital services exports by increasing trade cost. Further extension of the analysis finds that digital infrastructure level enhancement and RTA digital trade agreement signing can reduce the extent to which data cross-border flow restrictions impede digital services exports. Further analysis finds that increased levels of digital infrastructure and the signing of RTA digital trade agreements can reduce the extent to which restrictions on the cross-border flow of data impede the export of digital services. The conclusions provide important empirical support for reducing cross-border data flow restrictions and thus empowering the opening up of digital services trade to the outside world to promote China's services foreign trade growth.

Under the increasingly urgent background of global economic transformation, upgrading, and innovation-driven high-quality development, exploring how innovation-driven policies facilitate the optimization and upgrading of urban industrial structures has become crucial for realizing Chinese-style modernization and advancing the development of new productive forces tailored to local conditions. The pilot policy of innovative cities in China was treated as a quasi-natural experiment. Panel data from 281 prefecture-level cities between 2006 and 2019 were utilized, and a multi-period difference-in-differences (DID) model was employed to evaluate the policy's impact on urban industrial restructuring. The results indicate that the innovative city pilot policy significantly promotes the sophistication of urban industrial structures, while its effect on industrial structure rationalization remains statistically insignificant. These findings are validated through a series of robustness tests. Heterogeneity analysis reveals more pronounced policy effects in cities with higher administrative levels, greater proportions of tertiary industry employment, development models not fully reliant on resource endowments, and those located within urban agglomeration economic belts. Mechanism analysis further demonstrates that the policy positively affects industrial structure sophistication through three channels: expanding the digital economy scale, optimizing resource allocation efficiency, and enhancing human capital supply. It empirically reveals the pathway through which innovation policies promote industrial structure optimization, providing both theoretical foundations and practical references for enhancing policy effectiveness and advancing high-quality regional economic development.

Influenced by digital technology's impact on rural economic and social development, live streaming has emerged as a novel driver for rural revitalization and farmer income growth. Using data from a survey of 924 rural households in Sichuan Province, 2SLS and LIML methods were applied to analyze the effects of live streaming on household income. Empirical results indicate that rural live streaming significantly increases farmer income. Further examination of income composition reveals that live streaming enhances wage, property, and operational income through employment creation, entrepreneurship opportunities, and land transfer facilitation. Differential effects are observed across content types and participant categories. Specifically, e-commerce livestreams demonstrate strong income-positive outcomes, while cultural-entertainment livestreams show limited effects. Regarding participant types, internet celebrities amplify income impacts in both e-commerce and cultural-entertainment formats. Government officials significantly enhance income effects in e-commerce livestreams, whereas ordinary farmers rely more on personal resources and community networks. Income gains from livestreaming increase with village-level adoption scale. Policy recommendations include strengthening rural e-commerce infrastructure, promoting integration with local industries, implementing differentiated support for participant categories, and replicating successful livestreaming models.

Digital platforms are increasingly becoming mainstream channels for public participation in environmental governance. Compared to traditional offline appeals, online environmental appeals have lower marginal costs, faster processing speeds, and a wider social impact. Based on environmental appeal texts from the "Message board for leaders" of People's Daily Online and government work reports between 2012 and 2022, combined with empirical data from manufacturing listed companies on Shanghai and Shenzhen A-share markets, a comparative analysis is conducted regarding the differential impacts of online and offline environmental appeals on corporate ESG performance. It is found that both online and offline environmental appeals significantly enhance corporate ESG performance. The influence of online appeals is partially mediated through online-offline integrated regulatory mechanisms, whereas offline appeals exclusively function through traditional offline regulatory channels. Furthermore, the moderating effect is examined regarding how government attention allocation in digital transformation and environmental protection domains affects the relationship between public environmental appeals and corporate ESG performance. These findings systematically reveal the complex interactions among public participation, government regulation, and corporate behavior in China's environmental governance framework. Empirical evidence and theoretical support are provided for promoting the transformation of environmental governance towards a tripartite collaborative model involving government, enterprises, and the public.

Based on resource arrangement theory and competition and cooperation theory, a theoretical path of "small and medium-sized enterprises (SMEs) participation platform ecology-integration and utilization of digital resources-digital transformation performance" was formed, and an integration logic of SMEs' "collaboration with leading enterprises" and "collaboration with other participating enterprises" in platform participation affects digital transformation performance was constructed. Based on the survey data of 954 SMEs, the empirical test using statistical method shows that SMEs can promote the breadth and depth of their digital resource integration by cooperating with the platform leading enterprises and other participating enterprises, but the collaboration with the leading enterprises can promote the depth of integration, and the collaboration with other participating enterprises can promote the breadth of integration. The breadth of digital resource integration of SMEs has a positive U-shaped impact on digital transformation performance, and the depth of integration has an inverted U-shaped impact on transformation performance. The breadth and depth of integration can play a corresponding nonlinear intermediary effect between "inter-enterprise collaboration-digital transformation performance". It provides a theoretical reference for promoting the implementation of digital transformation in SMEs through platform-enabled collaboration with diverse entities.

In the context of rapid development in the digital economy, how intelligent manufacturing companies form and iterate digital business models to drive high-quality development has become a topic of great interest in both industry and academia. Taking Goertek as a case study, the specific formation mechanisms and evolutionary processes of digital business model was investigated. The findings reveal, the digital business model contains three elements of value creation, value proposition and value capture after digitalization and intelligence, and the synergy between dynamic capabilities and digital innovation includes customer-technology synergy, data-organization synergy and ecosystem-product synergy. The digitalization and intelligence of the three elements of the digital business model are synergistically driven by dynamic capabilities and digital innovation, and the formation mechanisms are enhancement and restructuring, expansion and distribution, generation and opening. Tthe evolution process of digital business model is single element digitalization-double element digitalization-multi element intellectualization, and shows the characteristics of first broadening the breadth and then digging the depth. Also, it identifies the driving forces behind the evolution of digital business models, which stem from the connection of sensing and seizing. This connection manifests as internal threats driving organizational adaptation and external opportunities propelling growth. Overall, the research findings fill theoretical gaps in understanding the formation mechanisms of digital business model and enriches our understanding of its evolutionary processes.

In recent years, management research has become increasingly sophisticated, transitioning from exploring simple linear relationships between variables to more complex nonlinear relationships. The U-shaped (or inverted U-shaped) relationship reveals the pattern of variables decreasing and then increasing (or vice versa), reflecting profound management concepts such as "extremes meet" and "too much is as bad as too little, " which hold significant theoretical and practical implications. Reviewing articles related to U-shaped relationships in representative Chinese management journals from 2015 to 2023, considerable room for improvement in the construction and testing of these relationships was revealed. As such, the progress of U-shaped relationship research in management, both domestically and internationally, is systematically elaborated on, which argues that identifying two distinct mechanisms through which the independent variable affects the dependent variable is critical to the construction of U-shaped relationships. Based on this, three methods for constructing the main effects of U-shaped relationships and their corresponding steps are summarized, along with a six-step process for testing the main effects and a three-step process for testing moderating effects. By integrating and summarizing the principles, procedures, and methods for constructing and testing U-shaped relationships, the shortcomings in methodology related to U-shaped relationships in domestic management research are addressed, contributing to the enhancement of research quality in the field of management.

A bibliometric research method was employed to systematically analyze the research literature on employee change support behavior published between 1994 and 2024. First, the research development trends and the evolution of research hotspots in this field were described, and the main research progress was evaluated. Second, an integrated framework for research on employee change support behavior was constructed, with a focus on "research theoretical perspectives, connotation measurement, influencing factors, processes, and impact effects. "Relevant studies on employee change support behavior were summarized and analyzed, and key characteristics of employee change support behavior were extracted, further clarifying the conceptual connotation of employee change support behavior. Finally, four directions for future research were identified. In-depth exploration of the multidimensional definition and scale development of employee change support behavior was suggested. Further investigation into the formation mechanisms and boundary conditions of change support behavior was proposed, with an expansion of research on team-level change support behavior and a deepening of research on the consequences of employee change support behavior. The comprehensive use of advanced methods such as secondary data analysis, behavioral experiments, and simulation modeling was recommended, along with an extension of the time span of research data. The deepening of local research was emphasized, with greater attention paid to incorporating Chinese contextual elements to reveal the formation mechanisms and impact outcomes of employee change support behavior. It is considered beneficial for further advancing subsequent studies on employee change support behavior and providing guidance for future research paths.

High-quality development is the theme of China's economic and social development during the 14th Five-Year Plan period and beyond. Quality is the foundation of establishing a business and the strategy for strengthening the country, as well as the key element and necessary condition for achieving high-quality development in China. Accelerating the construction of a quality powerhouse and improving the level and competitiveness of China's quality development are strategic choices to promote high-quality development. Enterprises are the micro-foundation for reshaping high-quality development and the main body responsible for building a quality powerhouse, while enterprise innovation is crucial for solving the aforementioned challenges. Open innovation can help enterprises break through boundary restrictions, broaden resource bases, and promote the improvement of enterprise innovation performance through knowledge sharing and collaborative innovation. Meanwhile, organizational ambidexterity has gradually become a key factor driving enterprise innovation and achieving technological catch-up and surpassing. Based on the 2018 data of Chinese industrial enterprises, stepwise regression, Sobel test, and Bootstrap test methods were used for empirical verification. The results reveal that open innovation effectively promotes enterprise innovation performance through both knowledge sharing and collaborative innovation, with collaborative innovation having a more significant promoting effect. Open innovation also indirectly affects innovation performance by enhancing enterprise quality management capabilities. The research on the mechanism of open innovation's impact on enterprise innovation performance is expanded from the perspective of quality management at the theoretical level. In practice, the mechanisms through which Chinese manufacturing enterprises enhance innovation performance via open innovation are extended, providing important support and guidance for enterprises to optimize quality management and maximize the outcomes of open innovation practices.

In order to deal with the challenges brought by the uncertainty of renewable energy supply to the medium and long-term contract performance of new energy power generation enterprises, a method was put forward to determine the medium and long-term contract electricity between new energy power generation enterprises and independent energy storage. Based on the opportunity constraints of new energy generation and the performance constraints of independent energy storage, a model for determining the medium and long-term contract capacity between new energy generation enterprises and independent energy storage is constructed with the goal of the common benefits of power generation enterprises and independent energy storage. By introducing conditional value at risk (CVaR) and alternative variables, the model is reformulated as a mixed integer programming (MIP) model for easy solution. An example is given to analyze the monthly contract power decomposition curve of new energy power generation enterprises, and the validity of the proposed method is verified. At the same time, considering the influence of new energy power generation enterprises' risk preference and energy storage charging state on common benefits, the research shows that the energy storage charging state is negatively correlated with common benefits, and improving the risk preference of new energy power generation enterprises can improve the expected benefits of the contract community.