With Camel Group as the case, a single-case study method is adopted to systematically analyze its green transformation process, integrating the theory of sense-making and the resource orchestration theory to construct a dynamic analytical framework of “proactive entrepreneurship—resource orchestration actions—green transformation outcomes”, and dividing the green transformation process into three stages for in-depth analysis. The findings are as follows. First, proactive entrepreneurship exhibits dynamic evolutionary characteristics during the transformation process. At each stage, through continuous sense-making of the policy environment, technological prospects, and staged transformation outcomes, entrepreneurs dynamically adjust their cognitive combination of “forward-looking insight” and “crisis awareness”, forming a stage-specific core of proactive entrepreneurship. Second, at the level of resource orchestration, Camel Group progressively structures key resources and continuously bundles core capabilities across stages. Its resource utilization pattern undergoes a three-stage transition: “grafting utilization of production resources”—“one-way resource transfer between businesses”—“business ecosystem resource integration”. Third, a bidirectional interaction mechanism exists between proactive entrepreneurship and resource orchestration actions: the sense-making outcomes of each stage provide strategic guidance for concurrent resource orchestration, while the effectiveness of resource orchestration serves as new feedback from experience, triggering the next round of sense-making. Together, these two forces drive the enterprise’s green transformation along the path of “manufacturing green transformation—business green transformation—ecosystem green transformation”.

This embedded case study focuses on Neusoft Medical to explore the mechanism through which the smart healthcare ecosystem achieves value co-creation under digital intelligence empowerment. The study found that the smart healthcare ecosystem co-creates value through a mechanism of “problem identification-digital-intelligence empowerment-digital-intelligence capability-value realization”. Digital intelligence empowerment helps address health challenges faced by the smart healthcare ecosystem and its three major subsystems. Each subsystem promotes the ecosystem overall value co-creation through vertical connection, horizontal coordination, and circular feedback. The smart healthcare ecosystem transcends the efficiency and economic value-driven mindset, with the “people-centeredness” approach runs through the entire value co-creation process, serving as the key guiding principle for value co-creation.

There exists a risk that some conceptual expressions in management research may become disconnected with management practice, as the precise specification of wording cannot be fully realized through simple translations and terminology databases. Texts can be translated into different languages and continuously endowed with meanings, allowing readers to understand life and achieve self-understanding and self-shaping through the world of the text. Based on textual hermeneutics, an analytical framework of factualness (including the perspectives of text translation and text deconstruction) and validity (including the perspectives of text connotation transformation and management discipline), is constructed to objectively analyze and distinguishing the controversial textual concepts. It takes leader humility in management as an example and deduces the above analytical framework. By reviewing the historical contexts of the introduction and influence of Christianity in modern China, this paper deeply compares the rationality of using Qianbei and Qianxun to describe leaders, and assesses the degree of match between the above two terms and leader humility. The conclusion is drawn that humility is the more appropriate to be translated into Qianxun rather than Qianbei when it used to describe leaders in Chinese language, especially in Chinese management context. The article provides a potential pathway for concept distinction in subsequent management research, and helps readers achieve self-awareness and self-shaping through conceptual texts.

Exploiting the construction of Public Resource Trading Centers across cities as a quasi-natural experiment, this paper investigates the impact of market-oriented allocation of public resources on the digital transformation of enterprises. The research finds that the market-oriented allocation of public resources produces better market incentive effect and resource guidance effect, which makes enterprises have stronger internal motivation and resource base to implement digital transformation. Further research finds that the above effects are more pronounced in the regions with high dependence on public resources, outstanding government digital construction and enterprises with strong internal incentives.

Based on the efficiency-equity framework under the guidance of common prosperity, this study selects six key factors—level of economic development, industrial structure, financial development, education level, medical conditions, and fiscal expenditure, and employs a mixed-method approach combining fsQCA and regression analysis. Taking 982 counties in China as the research sample, it investigates the multiple concurrent causal paths of county entrepreneurial activity and their impact on employment levels. The findings reveal that: none of the six key factors alone constitutes a necessary condition for high county-level entrepreneurial activity; Four configurational paths lead to high entrepreneurial activity, namely the market-driven industry-education integration configuration(H1),the finance-driven talent empowerment configuration(H2),the industry-finance synergy with health security configuration(H3),and the factor synergy for common prosperity configuration(H4);These four configurations differ in their effects on the synergistic development of entrepreneurship and employment.H1 promotes county-level entrepreneurship but inhibits employment, whereas H2,H3,and H4 can achieve the synergistic development of entrepreneurship and employment.

Using latent profile analysis, two questionnaire surveys were conducted to systematically examine the configuration types of age stereotype threat coping strategies among older employees and their effects on physical and mental health. The results revealed three distinct latent profiles of coping strategies, namely the voice profile, the avoidance profile, and the striving profile. Moreover, significant different effects on physical and mental health were observed across different coping strategy profiles. Specifically, older employees who adopted the striving profile were reported to be the highest levels of physical and mental health, followed by those with the voice profile, whereas those with the avoidance profile exhibited the lowest levels.

Grounded in property rights theory, this study investigates the impact of organizational property rights arrangements, which consist of delegated authority and gainsharing plans, on employee intrapreneurship through 440 leader-employee paired responses collected in three stages. The results show that organizational property rights arrangements positively affect employee intrapreneurship. Employee reward expectancy exerts a partial mediating effect on the relationship between organizational property rights arrangements and employee intrapreneurship. Furthermore, the extent of trust-based governance not only strengthens the direct positive relationship between organizational property rights arrangements and employee reward expectancy, but also enhances the indirect positive relationship between organizational property rights arrangements and employee intrapreneurship through the mediating effect of employee reward expectancy.

Using 2010~2022 data from China’s Shanghai/Shenzhen A-share listed firms, this study explores how internationalization geodiversity affects the dual innovation of Chinese firms based on the perspective of geographic relationships. The results show that: ①the increase of R&D internationalization geodiversity boosts firms’ exploratory innovation, but exhibits inverted U-shape effects on exploitative innovation; ②technological diversification positively moderates the effect of R&D internationalization geodiversity on exploratory innovation, with no significant effect on exploitative innovation; ③the IPRs by home countries positively moderate the effect of R&D internationalization geodiversity on enhancing exploratory innovation and strengthen its inverted U-shaped link with exploitative innovation; ④increased R&D internationalization geodiversity drives firms to adopt balanced exploratory-exploitative innovation strategies.

Using Chinese listed companies from 2011 to 2023 as a sample, this study examines the bilateral spillover effects of focal firms’ data assetization on upstream and downstream innovation, as well as the underlying mechanisms. The results show that data assetization of focal firms stimulates innovation among both upstream suppliers and downstream customers, but the spillover effects are asymmetric, with a stronger impact on downstream customers. Mechanism analysis reveals that these effects operate through information and knowledge spillovers. Specifically, supplier innovation is mainly enhanced via information spillover, while customer innovation is primarily driven by knowledge spillover. In addition, the innovation spillover effects of focal firms’ data assetization become more significant when geographical distance is shorter and relational distance is greater.

Based on the panel data of listed manufacturing firms in China during 2010～2019, this paper explores the impact of the China-Europe liner trains on the ESG performance of firms in the nodal cities using the interleaved DID method. The results show that the opening and operation of China-Europe liner trains significantly enhances the ESG performance of firms in nodal cities, and the conclusions remain robust after a series of robustness tests. Further research has found that green technological innovation and financing constraints are important mechanisms for the China-Europe liner trains to enhance the ESG performance of enterprises. Meanwhile, there is channel-wise heterogeneity in the impact of China-Europe liner trains on firms’ ESG performance, with the western corridor playing a major role in enhancing firms’ ESG performance relative to the eastern and central corridors.

Based on the provincial panel data from 2011 to 2022, the fixed effect model and mechanism test model were constructed to explore the impact and mechanism of producer services agglomeration on the efficiency of collaborative governance of pollution and carbon reduction. The results show that the agglomeration of producer services has an inverted U-shaped impact on the efficiency of collaborative governance of pollution and carbon reduction, which is currently mainly manifested as a promotion. The mechanism test found that producer services agglomeration can have a nonlinear impact on the efficiency of collaborative governance of pollution and carbon reduction through the impact of energy consumption structure and green innovation, in which strategic green innovation plays a greater role than substantive green innovation. Heterogeneity analysis shows that high-end producer services can steadily improve the efficiency of collaborative governance of pollution and carbon reduction in a longer term. At the same time, in the eastern region and regions with higher level of digital infrastructure, the agglomeration of producer services can play a more effective role in pollution and carbon reduction.

To investigate the optimal production and recycling strategies of manufacturers under value co-creation recycling and the dynamic diffusion process of the strategies, a two-layer game model combining Stackelberg games with small-world networks is established based on complex network game theory. Incorporating a dynamic carbon quota trading mechanism, the study analyzes the impact of three policy types—subsidies, deposit refunds, and dynamic incentives and penalties—on micro-level strategy making and diffusion of manufacturers. Results indicate: Consumer participation levels in value-co-creation recycling exert a nonlinear influence on the diffusion rate of manufacturers’ strategies. Subsidies face an incentive redundancy dilemma, struggling to sustain diffusion growth. Deposit refunds elevate diffusion to higher levels but yield lower micro-recycling rates than other models. Dynamic reward-punishment mechanisms achieve win-win at micro and macro levels, driving manufacturers to achieve the peak of micro-recycling rates and value co-creation recycling strategies diffusion simultaneously. This approach delivers optimal outcomes by integrating regulatory push with incentive pull.

Based on data from Chinese A-share listed firms from 2012 to 2023, this study constructs a technology spillover model incorporating firms’ chain-position factors to investigate the impact of artificial intelligence (AI) application by core firms on the distribution of markup ratios along the supply chain. The empirical results show that AI application by core firms generates bilateral spillover effects along the supply chain, with the spillover effect being more pronounced for upstream firms. Incorporating chain-position factors into the model weakens this effect. Further analysis reveals that AI spillover effects shift the distribution of markup ratios along the supply chain from divergence toward convergence, manifesting as a greater enhancement of markup ratios for upstream firms. Heterogeneity analysis indicates that the spillover effect is more prominent when upstream and downstream firms belong to high-tech industries, are larger in scale, or have a smaller technological gap with the core firm. At the level of markup distribution, AI amplifies the influence of technological capability differences on profit distribution, driving upstream profits toward top firms while disrupting the “larger firms always dominate” pattern of markup distribution downstream.

Drawing on the perspectives of internal and external collaborative divisions of labor, and grounded on Becker’ s growth model and Schumpeter’s innovation theory, this study elucidates the underlying mechanisms through which the Industrial Internet affects corporate supply chain resilience. Utilizing a panel dataset of Chinese A-share listed manufacturing firms spanning 2014 to 2023, the study employs a difference-in-differences approach to empirically evaluate the policy effects of the Industrial Internet Pilot Demonstration Projects. The results indicate that the development of the Industrial Internet significantly enhances the supply chain resilience of manufacturing firms. Mechanism analyses reveal that the Industrial Internet improves supply chain resilience primarily by deepening the specialized division of labor, reducing coordination costs, and fostering collaborative innovation. Heterogeneity analyses demonstrate that the effects are amplified for firms with stronger absorptive capacity, higher supply chain network centrality, or those located in regions with lower market segmentation. Moreover, this enhancement effect is more pronounced among firms that are large, mature, or operating in low-technology industries.

This study explores the supply chain spillover effect of the national new-generation artificial intelligence innovation and development pilot zone policy and clarifies the internal mechanism through which the policy affects suppliers’ digital technology innovation. Based on supply chain data of Shanghai and Shenzhen A-share listed companies from 2007 to 2023, this research conducts a quasi-natural experiment on this pilot policy and adopts a multi-period difference-in-differences model to empirically test the spillover effect and its underlying mechanism. The results show that customers located in artificial intelligence pilot zones significantly promote suppliers’ digital technological innovation through two channels: the indirect driving effect of customer demand upgrading, and the direct enabling effect of resource supply. The spillover effect is more pronounced when customers have strong bargaining power, suppliers have high absorptive capacity, the geographic distance between suppliers and customers is greater, and regional intellectual property protection is stronger. Meanwhile, the policy also improves suppliers’ digital innovation quality and innovation input-output efficiency.

Using the gradual opening of municipal public data platforms across various cities as a quasi-natural experiment, this study empirically examines the impact of public data opening on the quality of analysts’ earnings forecasts. The findings reveal that public data opening significantly reduces analysts’ earnings forecast errors and dispersion, thereby improving the quality of earnings forecasts. Mechanism tests indicate that public data opening enhances the quality of forecasts through both the “information effect”, which increases forward-looking statements and financial information in analyst reports, and the “monitoring effect”, which attracts greater analyst coverage and curbs corporate earnings management. Furthermore, this effect is more pronounced in samples where data openness is more comprehensive or relevant. The improvement in earnings forecast quality due to public data opening is more significant for forecasts made by non-star analysts, companies with lower information transparency, and industries with lower digital technology intensity.

Using the doing-business environment (DBE) index and cross-regional venturing capital (VC) events in 271 prefecture-level cities in China from 2011 to 2022, this study examines the impact of local DBE on cross-regional VCs. The findings reveal that cities with favorable local DBE attract more cross-regional VC. Mechanism analysis reveals that a favorable DBE mitigates the negative effects of macroeconomic policy uncertainty, signals positive local development prospects, and reduces investment barriers caused by information asymmetry, thereby strengthening the willingness of cross-regional VC investors to invest and take risks. Furthermore, this study finds that a favorable DBE serves as a prerequisite for cities to effectively implement regional innovation policies to attract cross-regional VC. Moreover, the positive effects of the favorable DBE on attracting cross-regional VC can enhance the vitality of innovation and entrepreneurship in cities.

We calculate the application of industrial robots at the listed firm level as a proxy for industrial intelligence and empirically examine the impact and mechanism on corporate tax avoidance. It is found that the transformation of industrial intelligence will significantly inhibit corporate tax avoidance, that is, industrial intelligence has a tax governance effect. The mechanism analysis shows that the industrial intelligence reduces the tax avoidance income by improving production and operation efficiency, restricts the tax avoidance ability by reducing the degree of information asymmetry, and ultimately helps to restrain the tax avoidance of enterprises. Heterogeneity analysis shows that the tax governance effect of industrial intelligence is more significant in private firms, and firms with more adequate cash reserves or with lower risk appetite.

This study firstly defines the connotation of the sustainable career ability of gig workers based on the definition of gig workers, the characteristics of gig work and the relevant literature on career sustainability. Secondly, based on the Job Demands-Resources model, this study sums up six structural dimensions of the sustainable career ability of gig workers, including self-leadership, identity flexibility, emotional regulation, digital networking, career-related continuous learning and self-branding, and then discusses the interrelationships among them in combination with the Selective Optimization with Compensation theory, and constructs an integrated model of the influencing mechanism of the sustainable career ability of gig workers. Finally, this study puts forward future research direction concerning the sustainable career ability of gig workers in terms of the conceptual framework, analysis of differences and dynamic evolution.