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This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).

A meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.

The results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.

The same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.

Based on the attention-based view (ABV), this study examines the mechanism of external pressure and internal managerial interpretation affecting the promotion of green entrepreneurial orientation (GEO) of agricultural enterprises.

Based on data collected from 208 agricultural enterprises in China, the conceptual model was tested by using hierarchical regression.

The results show that managerial interpretation can affect the promotion of GEO. Command and control regulation, market-based regulation and green market pressure are important external pressures that affect the promotion of GEO. In addition, managerial interpretation mediates the relationship between command and control regulation and GEO, market-based regulation and GEO, as well as green market pressure and GEO.

This study proposes a key path for promoting the adoption and implementation of GEO by agricultural enterprises. The research results provide experience for emerging and developing countries to promote the GEO of agricultural enterprises, which is helpful to alleviate the environmental problems caused by the development of agricultural enterprises.

For the first time, this study introduced the ABV into the research of GEO. The research results enrich the theoretical perspective of GEO and expand the research field of the ABV. In addition, this study fills the research gap that existing research has not paid enough attention to the internal driving factors of GEO and opens the black box between the external pressure and GEO.

The study seeks to unpack the effect of distributed leadership on teacher professionalism, and the mediating roles of collaborative learning and relational trust in the Chinese cultural context.

The proposed framework was examined based on the questionnaire data from 522 primary and secondary school teachers in China using structural equation modeling.

It was found that distributed leadership had a direct positive impact on collaborative learning and relational trust, which also exerted the direct positive impact on teacher professionalism. However, distributed leadership cannot directly affect teacher professionalism in China. Only through the full mediation of collaborative learning and relational trust, could distributed leadership facilitate teacher professionalism in an indirect way. The proportion of sequence mediating effect was the highest, followed by the single mediating role played by relational trust.

We have demonstrated to international scholars the indirect value of distributed leadership in enhancing teacher professionalism in China. The results not only enrich the existing influencing mechanism framework of professionalism, but also provide valuable implications that school leadership does not have a completely positive effect on teacher professionalism. Only when the empowering leadership style is truly perceived by teachers and strengthens their collaborative learning and mutual trust, can a team of capable educators be formed to promote teacher professionalism. It also indicates that teacher professionalism becomes a systematic and structural process requiring support from multiple parties, such as schools, leaders, colleagues and self.

We identify lessons from a project sponsored by a large charitable trust, which sought to build capability for end-of-life (EOL) care in Hong Kong through interdisciplinary and multi-agency collaboration.

An in-depth case study drawing on 21 in-depth interviews with diverse stakeholders was conducted. Lyman et al.’s (2018) model of organisational learning (OL) in healthcare settings was applied to analyse the relative emphasis on particular contextual factors and mechanisms, and to identify outcomes perceived to have been achieved.

Infrastructure such as materials for assessment and education received the most emphasis among the contextual factors and deliberate learning such as training sessions received the greatest attention among the mechanisms. While perceptions indicated that desired outcomes were being achieved in terms of social impact, there were relatively few mentions of “soft” factors such as enhanced motivation, leadership or OL skills among staff.

This study extends the literature on how to create valuable social impact through OL. While prior studies have examined social impact in terms of solutions for social and environmental problems, ours is one of the few that examines how improvements are made to organisations’ capability to deliver such impacts in the context of healthcare.

The safety and reliability of high-speed trains rely on the structural integrity of their components and the dynamic performance of the entire vehicle system. This paper aims to define and substantiate the assessment of the structural integrity and dynamical integrity of high-speed trains in both theory and practice. The key principles and approaches will be proposed, and their applications to high-speed trains in China will be presented.

First, the structural integrity and dynamical integrity of high-speed trains are defined, and their relationship is introduced. Then, the principles for assessing the structural integrity of structural and dynamical components are presented and practical examples of gearboxes and dampers are provided. Finally, the principles and approaches for assessing the dynamical integrity of high-speed trains are presented and a novel operational assessment method is further presented.

Vehicle system dynamics is the core of the proposed framework that provides the loads and vibrations on train components and the dynamic performance of the entire vehicle system. For assessing the structural integrity of structural components, an open-loop analysis considering both normal and abnormal vehicle conditions is needed. For assessing the structural integrity of dynamical components, a closed-loop analysis involving the influence of wear and degradation on vehicle system dynamics is needed. The analysis of vehicle system dynamics should follow the principles of complete objects, conditions and indices. Numerical, experimental and operational approaches should be combined to achieve effective assessments.

The practical applications demonstrate that assessing the structural integrity and dynamical integrity of high-speed trains can support better control of critical defects, better lifespan management of train components and better maintenance decision-making for high-speed trains.

This research utilizes the Panel FMOLS (fully modified ordinary least square) and DOLS (dynamic ordinary least square) techniques to analyze the influence of tourism on the level of female employment across several sectors, including agriculture, services and industry, in Central Asia (CA) nations from 2000 to 2021. It finds a significant positive correlation between economic development, trade openness and female employment. Conversely, the increase in tourist arrivals and the urbanization process have a positive and statistically significant effect on the unemployment rate. Based on the findings of the sectoral study, it can be seen that tourism has a statistically significant positive influence on the level of women's work within the service and industrial sectors. Conversely, the association between tourism and women's employment in the agriculture sector demonstrates a statistically adverse effect. The study's results suggest that authorities should prioritize implementing initiatives aimed at enhancing tourism throughout the countries in CA.

This study looks to understand the opposing forces that would influence continuance intention. This is significant as users will take into account the positive and negative use experiences in determining their continuance intention. Therefore, this study looks to highlight the opposing forces of users’ continuance intention by proposing the Expectation-Confirmation-Resistance Model (ECRM).

Through an online survey, 411 responses were obtained from mobile payment users. Subsequently, a hybrid approach comprised of the Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) was utilized to analyze the data.

The results revealed that all hypotheses proposed in the ECRM are supported. More precisely, the facilitating and inhibiting variables were found to significantly affect continuance intention. In addition, the ECRM was revealed to possess superior explanatory power over the original model in predicting continuance intention.

This study successfully developed and validated the ECRM which captures both facilitators and inhibitors of continuance intention. Besides, the relevance and significance of users’ innovative resistance to continuance intention have been highlighted. Following this, effective business and research strategies can be developed by taking into account the opposing forces that affect users’ continuance intention.

This study applies the target similarity model to examine the effects of servant leadership on supervisor commitment and supervisor citizenship behavior. The mediating role of supervisory commitment is explored to determine the relationship between servant leadership and supervisor citizenship behavior. The difference in supervisor gender is examined in the linkage between servant leadership and supervisory commitment.

The data were collected through a survey of 478 salespeople in the retail industry. Structural equation modeling (SEM) techniques were used to verify the hypotheses of this study.

The findings showed significant support for the direct and indirect effects of servant leadership on supervisor commitment and supervisor citizenship behavior. Furthermore, the positive relationship between servant leadership and supervisory commitment was stronger among female supervisors than male supervisors.

Due to the scarcity of studies conducted on the linkages of servant leadership, supervisory commitment and supervisory citizenship behavior, this study theoretically and empirically contributes to the leadership literature as it is the first study to investigate these direct and indirect relationships. Similarly, this study examined gender differences in servant leadership to fill the gap in the research field.

This study aims to look into the role of gamification as an effective marketing tool to engage with consumers and influence purchase behaviours. As there are a plethora of gamified elements, it is crucial to determine which of them can significantly facilitate consumer purchase behaviour. Therefore, a unique stimulus–organism–response (SOR) framework which encompasses four popular gamified elements (i.e. fun, rewards, competition and badges) was employed to investigate consumers’ engagement.

An online survey was utilized to collect the data which yielded 307 responses. Subsequently, partial least squares-structural equation modeling (PLS-SEM) was used to analyse the data.

Among the gamification elements assessed in this study, fun was revealed to be the strongest facilitating antecedent of shopping engagement. However, reward was revealed to have an insignificant effect on shopping engagement. In addition, it was found that consumers undergo a processual development with regard to their impulse buying of retail food products. More precisely, shopping engagement is a significant facilitator of customer satisfaction which subsequently motivates impulse buying.

This is among the pioneering studies to provide detailed insights into the effect of different gamified elements on consumer engagement. Furthermore, a number of practical and theoretical implications for the relevant stakeholders were discussed.

Weather and climate have a strong impact on tourism. However, because meteorological forecast information is considered a public good, people often overlook its market value. This study uses the contingent valuation method (CVM) to evaluate the economic value of a stargazing forecast system and assessed whether such a system would increase the public's willingness to stargaze. The results demonstrate that the economic value of the proposed stargazing forecast system is NT$ 0.2–2.5 billion, and the total value was 0.27–3.5 billion when protest responses are excluded. In addition, a stargazing forecast system could increase the public's willingness to engage in stargazing, indicating that both the system and meteorological information have a tremendous nonmarket value. Accordingly, this study suggests that the government could develop a stargazing forecast system and partner with famous stargazing destinations to popularize stargazing to propel the growth of the tourism industry.