How does digitalization affect regional carbon emission efficiency? The role of carbon emission network

Examining product innovation in women-led enterprises: Linking the influential role of innovation orientation, family support and risk management using Smart PLS-SEM

The role of assistive products in the relationship between activities of daily living and social participation among rural older adults in China: A cross-sectional study.

The impact of artificial intelligence and group effects on supply chain resilience in enterprises

BackgroundIn the digital era, the nursing workplace has experienced profound changes, exposing nurses to complex career shocks. Existing professional studies often overemphasize individual agency in career development, neglecting how environmental stressors such as career shocks influence job performance through psychological mechanisms.AimGrounded in the job demands–resources (JD‐R) model, this research examines how positive and negative career shocks differently influence the job performance of nurses, paying particular attention to the moderating effect of psychological resilience.MethodsThis research employs a cross‐sectional quantitative design. A total of 385 nurses were recruited through convenience sampling. Data were collected using questionnaires, and structural equation modeling (SEM) was utilized to analyze the relationships among the variables via Mplus.ResultsThe findings show that both positive and negative career shocks have a positive relationship with nurses’ job performance. Psychological resilience demonstrated a significant positive moderating effect on the relationship between positive career shocks and nurses’ job performance, amplifying the beneficial effects of positive shocks; however, it showed no significant moderating effect on the link between negative career shocks and nurses’ job performance.ConclusionThis study elucidates the influence pathways and mechanisms of positive and negative career shocks on nurses’ job performance, thereby contributing to the advancement of nursing management research.

Across the globe, healthcare facilities are struggling to achieve sustainability and operational excellence. To attain this goal, the healthcare industry needs to integrate/adopt the concept of Green Lean Six Sigma (GLSS), which can serve as a key tool to enhance performance and deliver the desired outcomes. This paper provides insight into the potential effects of implementing GLSS on the overall performance of healthcare facilities (PoH) from a dynamic capabilities theory perspective. A quantitative research design has been adopted, with survey data being collected from healthcare professionals and administrators from different healthcare facilities. The hypothesised relationship was tested using PLS-SEM. The results show that GLSS has a substantial impact on PoH, with healthcare services innovation (HSI) and improvement in employee professional growth (EPD) as the leading mediators. Further, the study concludes that the dynamic environment (DE) has a positive moderating effect on the nomological relationships. These results add value by providing an understanding of how healthcare facilities may utilise GLSS-related practices to both improve PoH, introduce new services, and develop the workforce.

ABSTRACT The accelerating trend towards digital transformation has significantly redefined supply chain management practices and offered opportunities to improve corporate sustainability and governance. Using information asymmetry theory, this study capitalizes on the Supply Chain Innovation and Application Pilot (SCIAP) policy as a quasi-natural experiment. We examine the impact of supply chain digitalization (SCD) on corporate environmental, social, and governance (ESG) performance by drawing on data from Chinese A-share listed companies from 2013 to 2023. Using a difference-in-differences approach, we empirically examine the causal relationship. The results suggest that SCD boosts corporate ESG outcomes. Mechanistic analyses identify three distinct channels through which SCD enhances ESG performance: reducing information asymmetry, enhancing environmental compliance, and fostering green technology innovation. Heterogeneity tests reveal that the favourable effects of SCD on ESG are pronounced in non-state-owned firms, low-tech businesses, entities operating in heavily polluting industries, and firms with higher supply chain network centrality. Furthermore, the regional marketization level has a positive moderating effect on the relationship between SCD and ESG performance. This study provides new theoretical explanations and empirical evidence of the effect of SCD on corporate ESG performance and offers valuable guidance for firms seeking sustainable development through digital initiatives.

ABSTRACT While prior research has examined the general healthcare applications of Artificial Intelligence Generative Content (AIGC), its specific impacts on user engagement and doctor-patient relationships after integration into online medical consultations remain underexplored. To address this research gap, we adopt a mixed-methods design, combining qualitative analysis to clarify AIGC's influencing mechanisms and quantitative analysis to empirically assess its practical effects. Qualitative findings reveal that AIGC plays a pivotal role in the pre-diagnosis stage, effectively facilitating users’ efficient information acquisition and comprehension. Quantitative analyses confirm that pre-diagnostic perceived diagnosticity and serendipity positively predict user engagement during diagnosis and doctor-patient relationships in the post-diagnosis stage across all users. Information presentation modes show gender-heterogeneous moderating effects. Specifically, text-based presentation negatively moderates the link between males’ perceived serendipity and engagement, while video-based presentation exerts positive moderating effects for both genders in distinct dimensions. This study extends cue diagnosticity theory and provides gender-specific implications for optimising AIGC applications and information presentation design in online medical services.

ABSTRACT This study adopts a public value perspective to examine how government attention allocation influences watershed collaboration. Based on the panel data from 30 provinces in China from 2020 to 2024, we employed negative binomial regression. Results show that attention allocation significantly enhances both formal and informal collaboration, with informal collaboration mediating this relationship. The expected positive moderating effect of digital governance is not consistently supported. Furthermore, by distinguishing between formal and informal collaboration, this study deepens the understanding of the dynamic processes within the collaboration continuum. It provides evidence from Chinese river basins for understanding cross-jurisdictional collaboration.

Digital–real integration and corporate green governance performance: evidence from China

Major challenges emerge in efforts towards the global sustainable development of our oceans. However, systematic exploration of the mechanisms through which artificial intelligence (AI) influences marine green development remains scarce. This study develops an integrated technology-capability-context framework to examine how AI influences marine green development and its boundary conditions. Drawing on panel data from 11 coastal provinces in China over the period 2011−2023, this study employs two-way fixed effects models with Driscoll-Kraay standard errors for baseline estimation, Bootstrap mediation tests to identify transmission channels, moderation analysis to examine the enabling role of marine green finance, and AI-related online search attention as an instrumental variable to address endogeneity. Results reveal a significantly positive association: a one-standard-deviation increase in the AI index increases the Marine Green Development Index (MGDI) by 0.233–0.297 standard deviations. Mechanism analysis reveals two pathways—enhancing marine research and innovation and strengthening digital government capacity—with indirect effects accounting for 26.3% and 17.7% of the total effect (0.712), jointly contributing 44.0%. Moderation analysis demonstrates that marine green finance exerts a positive moderating effect, with a significant interaction coefficient of 0.461. Heterogeneity analysis shows that the promoting effect of AI is more pronounced in regions with a lower share of marine secondary industry output (coefficient 0.338) and insignificant in regions with a higher share. These conclusions remain robust after multiple robustness checks and endogeneity treatments. By uncovering the intrinsic mechanisms through which AI drives marine green development from a capability transformation perspective, this study extends interdisciplinary research at the intersection of AI and sustainable development. It provides empirical evidence and policy insights for coastal regions and maritime nations globally to coordinate AI strategies, optimise green financial instruments, strengthen marine science and technology research, and enhance digital governance capacity.

Purpose This research aims to investigate the effect of buyer−supplier self-organization on triadic relational performance. In addition, this study examines the moderating role of organizational ambidexterity, run by the logistics service provider (LSP), in the relationship between buyer−supplier self-organization and relational performance. Design/methodology/approach The basis of this research is founded on complex adaptive system theory (CAS), enhanced by the tenets of the substitutive approach and complementarity theory (CT). Building on this grounding, this study developed a questionnaire and conducted research in 350 supply chains. Findings The results demonstrate that buyer−supplier self-organization has a positive effect on triadic relational performance. Interestingly, the conclusions obtained highlight the moderating role of organizational ambidexterity, administered by the LSP. More specifically, substitutive LSP ambidexterity exhibits a negative moderating effect between buyer−supplier self-organization and relational performance. In contrast, complementary LSP ambidexterity indicates a positive moderating effect between buyer−supplier self-organization and triadic relational performance. Research limitations/implications To date, organizational ambidexterity has primarily been studied at the individual firm level, without considering its potential influence on other organizations within a network. Accordingly, a more targeted set of variables may be needed to measure ambidexterity as enacted by one firm and its impact on other supply chain partners. Furthermore, beyond the substitutive and complementary approaches used in this study, alternative methods, such as additive or polynomial regression techniques, can be used to capture and quantify ambidexterity. These approaches may effectively extend and complement the findings of this research. Practical implications This study shows that proximity to the market and end customers is a critical factor when considering the role of the LSP within triads. Specifically, organizational ambidexterity, exercised by the logistics service provider, moderates the relationship between buyer−supplier self-organization and triadic relational performance. Consequently, managers at both the buyer and supplier firms should strive to maintain a balanced organizational structure, ensuring it is neither overly formal nor excessively loose. This study further indicates that the logistics service provider can play a pivotal role in achieving this balance. Social implications The findings suggest that promoting buyer−supplier self-organization within transitive triads can strengthen trust, collaboration and shared responsibility. Moreover, the moderating effect of organizational ambidexterity exercised by LSPs indicates that organizations capable of balancing efficiency-focused and innovation-focused practices can cultivate more inclusive and adaptive work environments. Such environments may enhance employee engagement, provide greater learning opportunities and support skill development across organizational boundaries, thereby improving relational performance. Originality/value Given the increasing interest in the role of LSP in supply chains, this study investigates how buyer−supplier self-organization is moderated by organizational ambidexterity to produce superior relational performance.

Research has suggested that firms in emerging economies often engage in philanthropy to secure political legitimacy. A natural follow-up question is whether a firm becomes less charitable after it gains political legitimacy. We draw on the social exchange perspective to posit that firms gaining greater political legitimacy, as indicated by the amount of government subsidy they received, tend to donate more to pay back the favour. In addition, this effect becomes stronger when the leadership in either the firms or local government changes, but such positive moderation effects become weaker when the leadership in both parties changes in the same year. Analysing a sample of venture firms publicly listed on China’s Growth Enterprises Market board from 2009 to 2017, we found support for the ideas. • Firms gaining greater amount of government subsidies tend to donate more to pay back the favour. • Venture firms tend to donate more to maintain social exchange relationship with local governments. • Social exchange relationship is bounded by leadership changes both in firms and local governments.

Spatial drivers of data element marketization on green total factor energy efficiency: Spillover effects, transmission pathways, and financial empowerment

The impact of digital government on the green transformation of enterprises

New forms and models of foreign trade, standardization construction and enterprises “going global”: a dual machine learning perspective

This research analyzes how personal abilities in the form of resource bundling strategies are considered important in efforts to improve business or may have a debilitating impact. Data collection was carried out through an online survey involving 384 micro and small business owners in West, Central, and East Java, Indonesia, by employing a quantitative approach with a cross-sectional design. Subsequently, the collected data were analyzed using Macro PROCESS. The results showed that the resource bundling strategy positively moderated the effect of VRIN resources on firm performance. This positive moderating effect became stronger when environmental volatility was lower. This finding possessed important implications for industry players, as it underscored the significance of managerial action in implementing a resource bundling strategy, proven to strengthen the effect of VRIN resources on firm performance. In conclusion, it contributed to strategic entrepreneurship and management domains, particularly by providing a valuable extension to the resource management framework and emphasizing the role of managerial actions in complementing resource-based theory (RBT).

Generative Artificial Intelligence (GenAI) is also finding its way into the IT project environment to assist in planning, documentation, analysis and decision-making. Despite the fast spread, empirical evidence is still scarce regarding whether the use of GenAI correlates with better outcomes of projects and in what ways and under what organizational circumstances GenAI is used. This paper examines the impact of GenAI use on project success, mediating factors of Employee-AI Collaboration, and moderating factor of Top Management Support on enhancing the GenAI usage collaboration relationship. The survey design employed was a quantitative, cross-sectional survey and was conducted on 223 IT project professionals in Pakistan. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to evaluate the measurement and structural models with bootstrapping. The findings show that there is no statistically significant direct impact of GenAI use on project success. Nevertheless, Employee-AI Collaboration is positively and significantly predicted by GenAI usage, and project success is significantly predicted by Employee-AI Collaboration. The indirect impact of GenAI use on the success of the project due to Employee-AI Collaboration is statistically significant and thus this pattern is that of indirect-only (full) mediation in this sample. Moreover, there is a small though statistically significant positive moderating effect of Top Management Support on the GenAI usage - Employee-AI Collaboration relationship, which results in a corresponding positive conditional indirect effect on project success through collaboration. Overall, the findings suggest that GenAI creates project value primarily when embedded in effective human–AI collaborative work practices rather than through tool usage alone. Practically, organizations should focus on enabling collaboration through governance, training, and workflow integration so that GenAI usage is translated into reliable project outcomes. The study contributes to project management literature by clarifying the collaboration-driven pathway linking GenAI adoption to project success and by evidencing the contingent role of Top Management Support in strengthening this pathway.

The National Forest City policy in China is inextricably linked to the country’s low-carbon development and its economic and social green transformation. In this paper, the policy is employed as a quasi-natural experiment to examine the impact of Forest City Construction (FCC) on carbon emission intensity. This paper uses the statistical yearbook data published on the official website of the government, based on the carbon emission intensity of 268 cities in China in the 19 years from 2003 to 2021, and uses the multi period double difference (DID) model for analysis. The findings of the study indicate that: FFC significantly reduces urban carbon emission intensity by increasing the level of green living of residents, the level of green production of the society, and the level of green innovation, and its effect is heterogeneous at the level of geography and urban development status, and temperature and precipitation, as well as the level of urban informatization and the rationality of industrial structure, all have a positive moderating effect on it. The results of this paper show that urban forest construction significantly reduces the intensity of urban carbon emissions and improves the environmental benefits of economic construction. Compared with the existing studies focusing on a single path of emission reduction, there is a lack of systematic integration of multiple mechanisms such as “direct carbon sequestration, indirect transformation and policy coordination”. The innovation of this paper is to focus on the multi-dimensional environmental benefits brought by forest city construction, summarize the existing literature research focus, innovatively establish the three-dimensional impact mechanism of production, life and innovation, make up for the deficiency of existing studies paying insufficient attention to the multi-path synergy effect, build a more comprehensive and systematic analysis framework, and provide a new perspective and ideas for the study of low-carbon city construction.

Against the backdrop of mounting resource constraints and increasing environmental stresses, examining the relationship between agricultural insurance and farmers’ adoption of green production technologies is crucial for ensuring sustainable agricultural development. This study empirically assess the impact and mechanism of agricultural insurance on farmers’ adoption of green production technologies, using microsurvey data from 459 vegetable growers in Shandong Province, China. Research has found that purchasing agricultural insurance can promote the adoption of green production technologies by vegetable growers. However, purchasing agricultural insurance can encourage farmers to adopt comprehensive pest and disease control technologies, soil-testing and formula-fertilizer approaches, and water-saving irrigation technologies. In terms of its mechanism, agricultural insurance promotes farmers to adopt green production technologies by enhancing agricultural operating income. The advance analysis indicates the environmental regulation exerts positive moderating effects only in the processes through which agricultural insurance influences farmers’ adoption of integrated pest management and soil testing for formulated fertilization. In contrast, its moderating effect on water-saving irrigation techniques is not significant. Therefore, we should fully leverage the green orientation of agricultural insurance, continuously strengthen its income-guarantee effect, and ensure association between agricultural insurance and environmental regulatory policies for sustainable agriculture.