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This study aims to develop a comprehensive green supplier governance (GSG) concept and explore whether specific GSG approaches (green supplier assessment, green supplier assistance and green strategic partnership with suppliers (GSPS)) bring environmental and economic performance. Moreover, this study aims to reveal a synergistic effect of three GSG approaches on performance improvement.

Using data collected from 200 Chinese manufacturing firms, regression analysis was employed to reveal the relationship between specific GSG approaches and firm performance. Further, cluster analysis was used to identify groupings of firms regarding implementation levels of three GSG approaches and compare the performance of the firm groups.

Green supplier assessment (GSA) can bring environmental performance, but GSA is not associated with economic performance. Green supplier assistance is positively associated with economic performance, while green supplier assistance cannot improve environmental performance. Only GSPS leads to improvement for both environmental and economic performance. Furthermore, firms with high implementation levels of GSA and GSPS (whether with high or low implementation levels of GSAS) can achieve the best environmental and financial performance.

This study provides implications for firms to more strategically and comprehensively implement GSG approaches, which can be more effective in bringing environmental and economic performance.

The authors' study extends the GSG concept with two approaches by subdividing the collaborative approach into green supplier assistance and GSPS based on the collaboration levels. This study also sheds light on how to improve firm performance by different GSG approaches and reveals a synergistic effect of three GSG approaches on performance.

Green supply chain management (GSCM) and the circular economy (CE) overlap but also differ. The purpose of this paper is to clarify linkages between these two concepts. It identifies mutual theory applications used to study GSCM and CE.

A systematic literature review is conducted to identify theories from GSCM and CE studies. A critical analysis explores the theories that can provide mutual applications between GSCM and CE fields. Propositions are developed.

In all, 12 theories are applied in both GSCM and CE studies. Several theories are only applied in GSCM studies, but can help to advance CE study. These theories include complexity, transaction cost economics, agency, and information theories. Each of the eight theories only applied to CE can potentially advance GSCM study.

The findings contribute to further theory development for both GSCM and CE study. A methodological review can advance theoretical development and cross-pollination in both fields.

This work is the first study to explicitly explore linkages of GSCM and CE from a theoretical perspective.

The research aimed to examine the effects of school climate (school violence and community engagement) and resources (staff shortages and resource shortages) on job satisfaction mediated by the workload stress of school principals, using pooled data from 47 jurisdictions around the world.

This study employed a rigorous secondary analysis of principal job satisfaction using the Teaching and Learning International Survey (TALIS) 2018 dataset. The mediation analysis of structural equation modeling (SEM) performed using STATA software established a structured model by controlling region-fixed effect, principal demographic and school contextual characteristics.

This study established a model detailing the associations between school climate and resources and principal job satisfaction mediated by workload stress.

Given the crucial role of a school principal in leading school survival and success, this study may provide one timely method to enhance job satisfaction and performance of principals during a period of constant change marked by increasing job demands.

The purpose of this paper is to systematically review and analyze the important, yet under-researched, topic of relationality in negotiations and propose new directions for future negotiation research.

This paper conducts a systematic review of negotiation literature related to relationality from multiple disciplines. Thirty-nine leading and topical academic journals are selected and 574 papers on negotiation are reviewed from 1990 to 2014. Based on the systematic review, propositions regarding the rationales for relationality in negotiations are developed and future research avenues in this area are discussed.

Of 574 papers on negotiations published in 39 peer-reviewed journals between 1990 and 2014, only 18 papers have studied and discussed relationality in negotiations. This suggests that relationality as a theoretical theme has long been under-researched in negotiation research. For future research, this paper proposes to incorporate the dynamic, cultural and mechanism perspectives, and to use a qualitative approach to study relationality in negotiations.

This paper presents the first systematic review of the negotiation literature on relationality, and identifies new research topics on relationality in negotiations. In so doing, this research opens new avenues for future negotiation research on relationality.

Fashion marketers are adopting attractive virtual personalities to replace human influencers on social media, but the impact of consumer bias against virtual influencer acceptance is not fully understood. Drawing upon match-up hypothesis, attribution theory and speciesism against artificial intelligence (AI), this research investigates how speciesism shapes the influencer-product attractiveness transference in AI-powered influencer marketing for fashion products.

Three studies were conducted (N = 1,385) to test the influencer-product attractiveness transference, the moderating role of influencer type and the moderated moderating role of speciesism against AI.

Our studies validated the attractiveness transference and revealed that influencers’ attractiveness promotes purchase intention via perceived product attractiveness. The adoption of virtual (vs human) influencers weakens the attractiveness transference and attenuates the mediating effect. Low speciesism boosts the effectiveness of virtual influencers, such that attractiveness transference disappears only when high-speciesism consumers react to virtual influencers.

Our findings clarify how influencers’ physical appearance, AI application and speciesism together impact interactive fashion marketing, offering practical insights into successful influencer strategies on social media.

Classifying the types of fabric defects in the textile industry requires a way to effectively detect. The traditional textile fabric defects detection method is human eyes, which performs very low efficiency and high cost. Therefore, how to improve the classification accuracy of textile fabric defects by using current artificial intelligence and to better meet the needs in the textile industry, the purpose of this article is to develop a method to improve the accuracy of textile fabric defects classification.

To improve the accuracy of textile fabric defects classification, an ensemble learning-based convolutional neural network (CNN) method in terms of textile fabric defects classification (short for ECTFDC) on an enhanced TILDA database is used. ECTFDC first adopts ensemble learning-based model to classify five types of fabric defects from TILDA. Subsequently, ECTFDC extracts features of fabric defects via an ensemble multiple convolutional neural network model and obtains parameters by using transfer learning method.

The authors applied ECTFDC on an enhanced TILDA database to improve the robustness and generalization ability of the proposed networks. Experimental results show that ECTFDC outperforms the other networks, the precision and recall rates are 97.8%, 97.68%, respectively.

The ensemble convolutional neural network textile fabric defect classification method in this paper can quickly and effectively classify textile fabric defect categories; it can reduce the production cost of textiles and it can alleviate the visual fatigue of inspectors working for a long time.

This study aims to examine the roles of principal resilience (psychological, social and spiritual) and trust in colleagues in predicting the flourishing of school principals, considering different career stages.

Utilising multigroup structural equation modelling and mediation analysis, data were collected from a sample of 1,274 school principals in China. The study investigates the direct impact of resilience on flourishing and the mediating role of trust in colleagues, with a focus on variations across different career stages.

The findings reveal that all aspects of a principal’s resilience significantly impact their flourishing, with trust serving as a partial mediator. Notably, the influence of spiritual resilience on flourishing is significant only for principals in the later stages of their careers.

This research contributes to the expanding body of literature on educational leadership by highlighting the importance of resilience and trust in fostering principal flourishing. The insights gained offer valuable knowledge for developing support strategies to enhance the flourishing experiences of school principals throughout their careers.

The purpose of this paper is to empirically examine the role of relationality in buyer–supplier negotiations and how it varies across cultural settings.

Using a multisession simulation design, this study recruited research participants (n = 82) from diverse cultural backgrounds to play the role of either buyer or supplier for two negotiation tasks. Regression analyses were used to test the relationships among relational constructs as well as the moderating role of relational culture.

Results show that negotiators’ relational self-construal enhances their relational commitment to the ongoing negotiations, which leads to a higher level of relational capital accumulated at the end of negotiations. The impact of relational self-construal on relational commitment and that of relational commitment on counterparts’ relational capital are stronger for negotiators from a high (as opposed to low) relational cultural background. Furthermore, intercultural negotiation context, when compared with intracultural context, weakens the impact of relational commitment on relational capital.

This research is among the first to empirically examine the culturally varied relationality in negotiations. The findings offer important theoretical and practical implications regarding how relationality, when interacting with cultural factors, has varying impacts on business negotiations.

Drawing on the stress and coping theory, conservation of resources (COR) theory and social role theory, this study aims to investigate the impact of social media overload on knowledge withholding behavior and examine the gender differences in social media overload, engendering knowledge withholding.

By hiring a professional online survey company, this study collected valid responses from 325 general social media users. The structural equation modeling (SEM) technique, bootstrapping method and multi-group analysis were used to test the proposed theoretical model.

The empirical results reveal that three types of social media overload positively affect users' knowledge withholding behavior and that emotional exhaustion significantly mediates the above relationships. The multi-group analysis demonstrates that gender differences do exist in the decision-making process of knowledge withholding; for example, females are more likely than males to become emotionally exhausted from social media overload, while males are more likely than females to engage in knowledge withholding behavior in the case of emotional exhaustion.

This study contributes to the existing body of knowledge by examining the relationship between social media overload and knowledge withholding, verifying the mediating role of emotional exhaustion as the key mechanism linking them, and narrowing the research gap of lacking gender differences research in knowledge withholding literature.

To investigate the influence of vehicle operation speed, curve geometry parameters and rail profile parameters on wheel–rail creepage in high-speed railway curves and propose a multi-parameter coordinated optimization strategy to reduce wheel–rail contact fatigue damage.

Taking a small-radius curve of a high-speed railway as the research object, field measurements were conducted to obtain track parameters and wheel–rail profiles. A coupled vehicle-track dynamics model was established. Multiple numerical experiments were designed using the Latin Hypercube Sampling method to extract wheel-rail creepage indicators and construct a parameter-creepage response surface model.

Key service parameters affecting wheel–rail creepage were identified, including the matching relationship between curve geometry and vehicle speed and rail profile parameters. The influence patterns of various parameters on wheel–rail creepage were revealed through response surface analysis, leading to the establishment of parameter optimization criteria.

This study presents the systematic investigation of wheel–rail creepage characteristics under multi-parameter coupling in high-speed railway curves. A response surface-based parameter-creepage relationship model was established, and a multi-parameter coordinated optimization strategy was proposed. The research findings provide theoretical guidance for controlling wheel–rail contact fatigue damage and optimizing wheel–rail profiles in high-speed railway curves.