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The impact of environmental regulations on ecological innovation is a contested issue in current research. However, there is no uniform consensus on existing conclusions. It is commonly accepted among scholars that external environment and organizational characteristics are key factors affecting ecological innovation. However, these are often analyzed in isolation, without consideration of the interaction between leadership and external environment. So this study aims to explore the impact of environmental regulation on ecological innovation by combining internal and external factors.

Based on institutional theory and leadership theory, this paper takes environmental regulation as the independent variable, environmental leadership as the intermediary variable and intellectual property protection level as the regulating variable to explore the impact mechanism of environmental regulation on ecological innovation.

The findings indicate an inverted U-shaped relationship between environmental regulation and ecological innovation. Additionally, there is a positive correlation between environmental leadership and intellectual property protection level with ecological innovation. Furthermore, environmental leadership partially mediates the relationship between environmental regulation and ecological innovation. However, the level of intellectual property protection does not have a significant moderating effect on the relationship between environmental leadership and ecological innovation.

This paper proposes suggestions for regional ecological innovation based on the current policy and research situation to promote its development.

With increasing pressure to achieve environmental sustainability, hotel organizations implement green human resource management (GHRM) to inspire employees’ green behavior to improve environmental performance. Following the conservation of resources theory, this research aims to examine how GHRM fosters employee green advocacy.

Data were obtained from 315 employees from 24 hotels in China. This study used the SPSS PROCESS to test the mediation and moderated mediation model.

The results showed that GHRM has a positive impact on green advocacy, and harmonious environmental passion (HEP) fully mediates the positive relationship between GHRM and green advocacy. Furthermore, the relationship between GHRM, HEP and green advocacy is moderated by environmentally specific transformational leadership (ESTL). Subsequently, the findings imply that the indirect effect of GHRM on green advocacy via HEP is stronger while ESTL is higher.

This study extends the research on GHRM and green advocacy by exploring how and when GHRM stimulates employee green advocacy via HEP in the Chinese context.

Construction workers’ safety behavior has been proven to be crucial in preventing occupational injuries and improving workplace safety, and organizational safety support provides essential resources to promote such behavior. However, the specific mechanisms of how organizational safety support affects safety behavior have not been thoroughly explored. Therefore, this study explored the relationship between workers’ perceived organizational safety support (perceived supervisor/coworker safety support) and safety behavior (safety task/contextual behavior), while considering the mediating effects of safety motivation, emotional exhaustion, and the moderating effect of psychosocial safety climate.

Based on the quantitative research method, the hypothesis was tested. The data were collected from 500 construction workers using a structured questionnaire. Observed variables were tested using confirmatory factor analysis, and the path coefficient of fitted model was then analyzed including the associated mediating and moderating effects.

The study found that (1) safety support from both supervisors and coworkers directly forecasted both types of safety behavior, (2) safety motivation was primarily predicted by perceived supervisor safety support, and perceived coworker safety support better predicted emotional exhaustion. Safety motivation mediated the relationship between perceived supervisor safety support and safety contextual behavior, and emotional exhaustion mediated the relationship between both types of safety support and both types of safety behavior, (3) psychosocial safety climate moderated the pathway relationships mediated by safety motivation and emotional exhaustion, respectively.

The samples of this study were mostly immersed in eastern culture and the construction industry, and the cultural and industry diversity of the samples deserves further consideration to enhance the universality of the results. The cross-sectional approach may have some impact on the accuracy of the results. In addition, other potential mediating variables deserve to be explored in future studies.

This study provides a new basis for extending current theoretical frameworks of organizational safety support and safety behavior by using a moderated mediation model. Some practical insights on construction safety management have also been proposed based on the research findings. It is recommended that practitioners should further raise awareness of the critical role of supervisor-worker and worker-coworker relationships, as high levels of safety support from the supervisor/worker respectively effectively encourage safety motivation, alleviate emotional exhaustion, and thus improve workers’ safety performance. Meanwhile, the psychosocial health conditions of workers should also receive further attention.

Construction project team members’ job burnout damages the physical health of members and also have a negative effect on project performance. This study primarily aims to empirically examine the relationship between coaching project managers (CPMs) and team members’ job burnout. Moreover, this research examines the cross-level mediating effect of team caring ethical climate and team members’ team-based self-esteem (TBSE) on the relationship between the two aspects.

This study uses conservation of resources theory as basis to construct a cross-level research model of the effect of CPMs on team members’ job burnout. Thereafter, regression analysis was performed on a sample of 431 team members from 83 teams.

According to the empirical results, the authors found that, in construction project teams, first, CPMs were negatively correlated with team members’ job burnout and positively correlated with caring ethical climate and team members’ TBSE. Second, caring ethical climate and team members’ TBSE played a cross-level mediating role between CPMs and team members’ job burnout. In addition, caring ethical climate played a cross-level moderating role in the negative relationship between team members’ TBSE and job burnout.

This study introduces coaching leadership, an important leadership type, into the research background of construction project teams, thereby theoretically enriching the research on construction project team leadership. Moreover, by further expanding the research on the consequences of coaching leadership to the field of job burnout, this study also enriches the theoretical results of the research on the consequences of coaching leadership.

Prefabricated building (PB) has high technical requirements and is susceptible to safety accidents, and its construction occupational health and safety (OHS) problems should not be ignored. To promote the better development of PB, this study aims to measure their construction safety management level and propose corresponding countermeasures.

By systematically combing the relevant literature, this study extracts the influencing factors that appear frequently in several studies and categorizes them according to six dimensions: people, materials and components, technology, mechanical equipment, environment and system. Combining expert opinions, the measurement index system, including 6 primary indexes and 24 secondary indexes, is constructed. The structural entropy weight (SEW) method is applied to calculate the index weights. The cloud matter element (CME) model based on the weights is constructed to determine the level of construction occupational health and safety management (COHSM). A project case of a training building is used to verify it. The results obtained from the model are compared with those from other measurement models to verify the feasibility of the model in measuring the level of COHSM for PB.

The calculated weights show that technology is the most important for the COHSM of PB. The management level of the project in terms of people, materials and components, technology, machinery and equipment, environment and system is Level II good. The overall safety management level is also Level II, which is good. The model of this study is consistent with other model measurements. The methodology of this study yields reasonable and realistic results.

This study is the first to include occupational health dimensions in the research on the construction safety management of PB, which not only covers the key elements in traditional construction safety management but also considers the impact of the construction process, material use and technology of PB on safety management, making the measurement index system more scientific. Meanwhile, the introduction of the CME model based on the SEW method effectively solves the deficiencies of the traditional method in dealing with ambiguity and uncertainty and provides practitioners with more accurate and comprehensive measurement results. It helps practitioners formulate a more scientific management plan in combination with the actual situation and provides a guiding idea and practical path for the COHSM of similar projects.

This paper aims to synthesize the existing literature on virtual reality (VR) in the luxury fashion industry, discuss the current practical applications of VR technologies and review previous research undertaken in the luxury fashion field.

This paper conducts a systematic review and thematic analysis of existing literature to evaluate current research concerning VR and the luxury fashion industry. This search initially returned a total of 1,131 sources. After establishing and applying criteria of exclusion and inclusion, a total of 46 articles were selected for the thematic analysis.

Five major themes were identified, including virtual luxury fashion consumption, VR in marketing communication, virtual try-on, VR retail (including virtual fashion retail spaces) and virtual worlds (including customers’ virtual representation as avatars). The importance of these themes for the study of VR in luxury fashion is supported by relevant studies in the literature.

Whilst research into VR use within luxury fashion has increased recently, it remains fragmented. Given the absence of a comprehensive review addressing this topic within the literature, this paper will help scholars and fashion brands better understand the effects of VR on the luxury fashion industry. By integrating current practice and existing research, this paper contributes to a better understanding of how and where VR is used in luxury fashion contexts.

This study aims to better understand the influence of various post-treatments on the microstructure and mechanical properties of additively manufactured parts for critical applications.

In this study, Laser Powder Bed Fusion (LPBF) fabricated Inconel 718 (IN718) samples were subjected to various heat treatments, namely homogenization, solution heat treatment and double aging, to investigate their influence on the microstructure, mechanical properties and fracture mechanism at an elevated temperature of 650 °C. Homogenization treatment was performed at 1080 °C for durations ranging from 1–8 h. The solution treatment temperature varied from 980 °C to 1140 °C for 1 h, followed by double aging treatment.

At 650 °C, the as-built sample showed the minimum strength but demonstrated the maximum elongation to failure compared to the heat-treated samples. The strength of the IN718 superalloy increased by 20.26% to 34.81%, while ductility significantly reduced by 65.26% to 72.89% after various heat treatments compared to the as-built state. This change is attributed to the enhancement in grain boundary strength resulting from the pinning effect of the intergranular δ-phase.

The study observed that the variations in the fracture mechanism of LPBF fabricated IN718 depend on the duration and temperature of heat treatment. This research provides a thorough overview of the high-temperature mechanical properties of LPBF fabricated IN718 subjected to different homogenization times and solution treatment temperatures, correlating these effects to the corresponding changes in microstructure.

In recent years, the incidence of cardiovascular disease has continued to rise, and early screening and prevention are especially critical. Phonocardiography (PCG) and electrocardiography (ECG), as simple, cost-effective and non-invasive tests, are important tools for clinical analysis. However, it is difficult to fully reflect the complexity of the cardiovascular system using PCG or ECG tests alone. Combining the multimodal signals of PCG and ECG can provide complementary information to improve the detection accuracy. Therefore, the purpose of this paper is to propose a multimodal signal classification method based on continuous wavelet transform and improved ResNet18.

The classification method is based on the ResNet18 backbone, and the ResNet18 network is improved by embedding the global grouped coordinate attention mechanism module and the improved bidirectional feature pyramid network. Firstly, a data acquisition system was built using a MEMS-integrated PCG-ECG sensor to construct a private data set. Second is the time-frequency transformation of PCG and ECG synchronized signals on public and private data sets using continuous wavelet transform. Finally, the time-frequency images are categorized.

The global grouped coordinate attention mechanism and bidirectional feature pyramid network modules proposed in this paper significantly enhance the model’s performance. On public data sets, the method achieves precision, sensitivity, specificity, accuracy and F1 score of 97.96%, 98.51%, 97.58%, 98.08% and 98.23%, respectively, which represent improvements of 3.54%, 3.92%, 4.18%, 4.03% and 3.72% compared to ResNet18. Additionally, it demonstrates a clear advantage over existing mainstream algorithms. On private data sets, the method’s five metrics are 98.15%, 98.76%, 98.08%, 98.42% and 98.45%, further validating the model’s generalization ability.

The method proposed in this paper not only improves the accuracy and efficiency of the test but also provides an effective solution for early screening and prevention of cardiovascular diseases.

Driven by the explosive growth of artificial intelligence, WealthTech has played a pivotal role in reshaping the wealth management industry in recent years. Within this context, this study aims to explain the antecedents of users’ continuance intention to use the WealthTech platform by integrating the technology continuance theory (TCT), task-technology fit (TTF) and digital nudging.

To empirically test the research model, an online survey was conducted among 337 investors who had previously used WealthTech platform. The authors used partial least squares structural equation modeling (PLS-SEM) to assess the research model and test the hypotheses.

PLS-SEM results show that the proposed model has moderate explanatory power in explaining WealthTech continuance intention. The results also found that attitude, digital nudging and satisfaction are important drivers in promoting WealthTech continuance intention. According to importance performance map analysis, digital nudging, expectation confirmation and satisfaction are critical factors in explaining continuance intention, which require managerial action.

To the best of the authors’ knowledge, this is one of the earliest studies that analyze the determinants of WealthTech continuance intention by integrating TCT with TTF and digital nudging. The study’s findings highlight the importance of fit factors and digital nudging in promoting successful WealthTech services.

This study examines how users' perceptions of application quality impact sustained usage, taking alternative options into account.

A hybrid approach combining partial least squares-structural equation modeling (PLS-SEM) and artificial neural networks (ANNs) was used to capture linear and non-linear relationships in the continuous intention to use mobile retail applications through 505 valid responses.

The findings highlight the significant role of utilitarian attitude, hedonic emotion, and trust in driving the adoption and continued use of mobile retail applications. Service and information qualities were identified as factors reinforcing trust, utilitarian attitudes, and hedonic emotion. Notably, system quality exclusively influences utilitarian attitude. Additionally, the presence of alternative options negatively moderates utilitarian attitude and the intention to persistently use the application.

By integrating the S-O-R model and the ISS model, this study’s theoretical framework provides fresh insights into the relative importance of these factors, enhancing our understanding of consumers' intention to continue using mobile retail applications.