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The purpose of this study is to explore the relationship between ambidextrous leadership and sustainability performance. In addition, this study also discusses how ambidextrous leadership affects sustainability performance through employees' green creativity and green product innovation.

This study obtained research data from a questionnaire survey of 307 manufacturing enterprise leaders in China and used regression and bootstrap analysis to test the research hypotheses.

(1) Ambidextrous leadership positively influences sustainability performance. (2) Employees' green creativity mediates the relationship between ambidextrous leadership and sustainability performance. (3) Green product innovation also mediates the relationship between ambidextrous leadership and sustainability performance. (4) The intermediary chain constructed by employees' green creativity and green product innovation has serial mediation effects on the relationship between ambidextrous leadership and sustainability performance.

This study contributes to the literature on leadership and corporate sustainability by clarifying the relationship between ambidextrous leadership and sustainability performance. Meanwhile, this study reveals the influence mechanism of ambidextrous leadership on sustainability performance by analyzing the serial mediation effects of employees' green creativity and green product innovation.

The study aims to address the gap between leaders’ preventative self-regulatory focus and its impact on Chinese primary care physicians (PCPs) well-being, measured by work–family spillover stress and work exhaustion and on healthcare quality, measured by preventive service delivery and clinical guideline adherence.

This paper conducted a cross-sectional in-person survey with 38 leaders and 224 PCPs in 38 primary health centers (PHCs) in Jinan, Tianjin, Shenzhen and Shanghai. Guided by the regulatory focus theory, this paper built hierarchical linear regression models to examine the association between the leadership’s regulatory focus and physician burnout, work–family conflict, clinic guideline adherence and preventive service delivery.

This paper added the knowledge of leadership’s regulatory focus impact on the well-being and medical service quality of PCPs. Prevention regulatory focus of leaders was significantly associated with work exhaustion and physicians’ reported work–family conflict. There is no significant association between leadership’s prevention regulatory focus and PCPs’ preventive service delivery or clinical guideline adherence.

Data on the regulatory focus of PCPs were not collected. Future studies should collect longitudinal data, allowing for exploration of the mechanism.

This paper revealed that PHC leaders should restructure their leadership focus away from preventive regulatory behavior, promoting a team atmosphere and enhancing PCP attitudes, behaviors and well-being.

To improve the well-being of PCPs and the quality of medical services, our results recommend a focus on establishing a positive organizational culture and addressing the emotional and professional needs of PCPs. To achieve these aims, policymakers should implement measures that promote a more comprehensive and balanced regulatory focus within PHC institutions. These measures should aim to create an environment that supports physician well-being and enhances the quality of healthcare services. Providing ample resources and support, promoting a collaborative team atmosphere and encouraging open communication are vital to empowering PCPs.

This study examined the preventive regulatory focus of PHC leaders on the well-being and medical service quality of PCPs in China.

This paper aims to examine whether China's grain price support policy has distorted the grain market price.

The time-varying differences-in-differences (DID) model is used to study the impact of support policies on grain prices, and it is combined with the event study method to explore the dynamic effects of price support policy. Panel data model is used to study the effect of the price support policy on price formation for national grain market prices. In addition, we apply the smooth transformation (STR) model to verify whether there is a distortion in the transmission of grain prices among different markets in China and from the international market to China’s market.

China’s grain price support policy plays a significant role in rising grain market prices, weakens the decisive role of the market mechanism in the formation of grain prices, hinders the spatial transmission of market price signals and decreases the effect of price transmission from the world market to China’s market.

In order to ensure both the stability of grain production as well as the market stability, and also to ensure that intervention policies do not distort the food market, the minimum purchase price of grain and market regulation policies should be adjusted as follows: (1) price support policy should be shifted to an income support policy and (2) reasonably determine the scale of reserves and implement a grain minimum purchase price policy in limited areas.

Our findings are relevant for understanding the effect of China's grain price support policies on the implementation regions and the price transmission effect, which provide reference experience for developing countries to implement food price policies.

This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.

The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.

The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.

This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.

The authors intend to investigate the relations between corporate strategic positioning and environmental information disclosure (EID) behaviors in the context of the circular economy. The authors argue that the development of the circular economy is crucial to address environmental issues and achieve sustainable development, and companies play a vital role in this process as micro-entities. By examining corporate EID behaviors, the authors could understand their adoption of circular practices to a certain extent.

The authors conduct a content analysis of companies' annual fiscal reports, social responsibility reports and environmental reports and develop text-based proxies for both strategic positioning and EID quality to explore the relationship between them.

The authors find that corporate strategic positioning does affect corporate EID behaviors. Specifically, firms that implement a prospector strategy are more likely to engage in high-quality EID. Furthermore, the results suggest that green innovation is one of the mediators through which strategic positioning affects EID. Compared with defenders, prospectors are more likely to engage in green innovation, which, in turn, leads to higher-quality EID and demonstrates a more active approach to the circular economy.

This study contributes to the literature on strategic positioning and corporate EID by providing empirical evidence on the impact of corporate strategic positioning on EID behaviors. Moreover, the study employs a textual analysis approach to measure corporate strategy and EID, which is a relatively new research method in this field.

This paper examines the impact of corporate digital transformation on employee satisfaction. Therefore, this study extends our understanding of the economic consequences of corporate digital transformation from employees’ perspectives.

The data used to construct our main proxy of employee satisfaction are collected from Kanzhun.com, which provides reviews by rank-and-file employees on their employers. This study uses a large sample of Chinese firms and adopts various empirical methods to examine the impact of digital transformation on employee satisfaction.

We find a significant positive relationship between corporate digital transformation and employee satisfaction. Moreover, we document that the relationship between corporate digital transformation and employee satisfaction is more pronounced in firms with higher labor intensity and in state-owned enterprises (SOE).

One significant limitation is that corporate digital transformation is constructed based on word frequency analysis. This approach may be influenced by variations in corporate disclosure practices and might not accurately capture the true extent of corporate digital transformation. This limitation is not only present in our research but is also pervasive in many other studies that utilize similar methodologies. Therefore, our results should be interpreted with this caveat in mind.

Our study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.

Our study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.

Our study contributes to the literature on the economic consequences of corporate digital transformation and extends existing research on the determinants of employee satisfaction. Additionally, it provides a novel measurement of employee satisfaction for a large sample of Chinese firms.

China’s unprecedented emergence as an economic and political power has created a new geopolitical economy for semi-industrialised and developing economies in Southeast Asia. This paper examines China’s trade relationships with Thailand and Indonesia using the concepts of uneven and combined development (UCD) and unequal exchange. The mass of surplus value obtained through China’s trade with the developed economies has flowed into the considerable expansion in China’s imports from developing countries since 2000. China has maintained a consistent trade deficit with the latter. While the developing countries concerned have benefitted from this set of relationships, the extent to which they have done so has been determined by national strategies. In countries like Thailand – where manufacturing capital and a significant working class has emerged – exports expanded on the basis of mutually advantageous technologically and skills intensive goods. These are produced with a similar organic composition of capital as in China. The result has been a further consolidation of the hegemony of manufacturing capital. Indonesia, however, has a political system and economy long dominated by resource exploitation linked fractions of capital. The result has been a surge in primary goods exports. The current commodity price cycle has meant these goods exchange at prices above their value. The current looming price correction, however, may have negative repercussions. In the meantime, the concentration in raw materials exports is helping to prevent the emergence of a circuit of productive capital in manufacturing. The evidence from these contrasting cases suggests that the degree to which developing economies can benefit from China’s own historically unparalleled combined development remains highly contingent on the strength of the combined development possibilities and efforts within these other national social formations. Above all, there is the degree to which manufacturing sectors of capital can obtain hegemony.

This study aims to enhance the bioavailability and antioxidant function of vitamin E (VE) by combining it with inositol and choline, exploring their synergistic effects and underlying mechanisms.

An oxidative stress model in mouse hepatocytes was established using hydrogen peroxide to assess the antioxidant effects of combined VE, inositol and choline treatments. Cell viability, the levels of reactive oxygen species (ROS) and malondialdehyde (MDA) and antioxidant enzymes, including superoxide dismutase (SOD) and catalase (CAT), were measured to evaluate protective effects. α-Tocopherol (α-T) and α-tocopherol transfer protein (α-TTP) levels were assessed to determine VE bioavailability. Transcriptome sequencing was conducted to identify gene expression changes and pathways impacted by the treatment.

An optimal oxidative stress model was established with 641 µM hydrogen peroxide for 6 h. The combination of 20 µM VE, 1.5 mM inositol and 0.3 mM choline significantly improved cell viability, reduced ROS and MDA levels and increased SOD and CAT activities, indicating enhanced antioxidant protection. In addition, α-T and α-TTP levels were higher with this combination, suggesting improved VE bioavailability. Transcriptome analysis revealed that the treatment modulated key pathways linked to inflammation, cancer and lipid metabolism, particularly impacting interleukin-17 and nuclear factor kappa-light-chain-enhancer of activated B cells signaling, cytokine interactions and the alcoholic liver disease pathway.

This study demonstrates a novel approach for improving VE’s bioavailability and effectiveness through its combination with inositol and choline, providing insights that could inform antioxidant therapies and liver health interventions.

In manufacturing environments, mobile radio frequency identification (RFID) robots need to quickly identify and collect various types of passive tag and active tag sensor data. The purpose of this paper is to design a robot system compatible with ultra high frequency (UHF) band passive and active RFID applications and to propose a new anti-collision protocol to improve identification efficiency for active tag data collection.

A new UHF RFID robot system based on a cloud platform is designed and verified. For the active RFID system, a grouping reservation–based anti-collision algorithm is proposed in which an inventory round is divided into reservation period and polling period. The reservation period is divided into multiple sub-slots. Grouped tags complete sub-slot by randomly transmitting a short reservation frame. Then, in the polling period, the reader accesses each tag by polling. When tags’ reply collision occurs, the reader tries to re-query collided tags once, and the pre-reply tags avoid collisions through random back-off and channel activity detection.

The proposed algorithm achieves a maximum theoretical system throughput of about 0.94, and very few tag data frame transmissions overhead. The capture effect and channel activity detection in physical layer can effectively improve system throughput and reduce tag data transmission.

In this paper, the authors design and verify the UHF band passive and active hybrid RFID robot architecture based on cloud collaboration. And, the proposed anti-collision algorithm would improve active tag data collection speed and reduce tag transmission overhead in complex manufacturing environments.

In recent years, personalized recommendations have facilitated easy access to users' personal information and historical interactions, thereby improving recommendation effectiveness. However, due to privacy risk concerns, it is essential to balance the accuracy of personalized recommendations with privacy protection. Accordingly, this paper aims to propose a neural graph collaborative filtering personalized recommendation framework based on federated transfer learning (FTL-NGCF), which achieves high-quality personalized recommendations with privacy protection.

FTL-NGCF uses a third-party server to coordinate local users to train the graph neural networks (GNN) model. Each user client integrates user–item interactions into the embedding and uploads the model parameters to a server. To prevent attacks during communication and thus promote privacy preservation, the authors introduce homomorphic encryption to ensure secure model aggregation between clients and the server.

Experiments on three real data sets (Gowalla, Yelp2018, Amazon-Book) show that FTL-NGCF improves the recommendation performance in terms of recall and NDCG, based on the increased consideration of privacy protection relative to original federated learning methods.

To the best of the authors’ knowledge, no previous research has considered federated transfer learning framework for GNN-based recommendation. It can be extended to other recommended applications while maintaining privacy protection.