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This study conducts a comparative analysis of the diversification effects of China's national carbon market (CEA) and the EU ETS Phase IV (EUA) within major commodity markets.

The study employs the TVP-VAR extension of the spillover index framework to scrutinize the information spillovers among the energy, agriculture, metal, and carbon markets. Subsequently, the study explores practical applications of these findings, emphasizing how investors can harness insights from information spillovers to refine their investment strategies.

First, the CEA provide ample opportunities for portfolio diversification between the energy, agriculture, and metal markets, a desirable feature that the EUA does not possess. Second, a portfolio comprising exclusively energy and carbon assets often exhibits the highest Sharpe ratio. Nevertheless, the inclusion of agricultural and metal commodities in a carbon-oriented portfolio may potentially compromise its performance. Finally, our results underscore the pronounced advantage of minimum spillover portfolios; particularly those that designed minimize net pairwise volatility spillover, in the context of China's national carbon market.

This study addresses the previously unexplored intersection of information spillovers and portfolio diversification in major commodity markets, with an emphasis on the role of CEA.

While the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.

This study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.

In general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.

First, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.

In the digital workplace, enterprise social media (ESM) are widely used for work and social purposes, which may afford employees resources to build their career adaptability. However, limited theoretical evidence is about how to build career adaptability through different ESM uses (work-oriented ESM use and socialization-oriented ESM use). This study thus aims to enrich the theoretical understanding of the relationship between different ESM uses and career adaptability by examining the different mediating mechanisms of role clarity and psychological closeness and the moderating effect of mindfulness based on affordance theory.

SPSS PROCESS and AMOS were used to analyze the data collected from 209 full-time employees at three-time points.

Our results showed that work-oriented ESM use exerts a positive effect on employees’ career adaptability via role clarity, while socialization-oriented ESM use has a positive effect on employees’ career adaptability via psychological closeness. Mindfulness strengthens the positive effect of work-oriented ESM use on career adaptability via role clarity.

Managers need to notice that both work-oriented and socialization-oriented ESM use can benefit employees, but there are different effecting mechanisms of ESM use for work and social purposes, and organizations should keep cultivating the mindfulness of employees.

This study contributes to the ESM literature by investigating two different influencing mechanisms of ESM uses on employees’ career adaptability and the moderating effects of mindfulness.

The study aims to build a high-precision longitudinal dynamics model for heavy-haul trains and validate it with line test data, present an optimization method for multi-stage cyclic brakes based on the model and conduct a multi-objective detailed evaluation of the driver’s manipulation during cyclic braking.

The high-precision longitudinal train dynamics model was established and verified by the cyclic braking test data of the 20,000 t heavy-haul combination train on the long and steep downgrade. Then the genetic algorithm is employed for optimization subsequent to decoupling multiple cyclic braking procedures, with due consideration of driver operation rules. For evaluation, key manipulation assessments in the scenario are prioritized, supplemented by multi-objective evaluation requirements, and the computational model is employed for detailed evaluation analysis.

Based on the model, experimental data reveal that the probability of longitudinal force error being less than 64.6 kN is approximately 68%, 95% for less than 129.2 kN and 99.7% for less than 193.8 kN. Upon optimizing manipulations during the cyclic braking, the maximum reduction in coupler force spans from 21% ∼ 23.9%. And the evaluation scores imply that a proper elevation of the releasing speed favors safety. A high electric braking force, although beneficial to some extent for energy-saving, is detrimental to reducing coupler force.

The results will provide a theoretical basis and practical guidance for further ensuring the safety and energy-efficient operation of heavy haul trains on long downhill sections and improving the operational quality of heavy-haul trains.

Using the theoretical framework of social comparison theory (SCT), this study investigates the effects of employee envy on service sabotage behaviors in the hospitality industry. It further examines the complex dynamics of self-performance and job dissatisfaction in this context. Notably, this paper seeks to determine the potential moderating role of perceived employability in the interactions between service sabotage, employee envy, job dissatisfaction and self-performance.

Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships.

Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships.

Hotel managers must keep a close eye on their front-of-house staff to avoid any unintentional or direct interactions with customers. Equally important is the consistent and impartial treatment of all employees, which is an important consideration for managers to consider because it can help mitigate employee envy and job dissatisfaction.

This study seeks to enhance understanding of SCT by emphasizing perceived employability as a boundary influencing the relationships between these factors and desired outcomes in the hotel industry, such as job dissatisfaction, self-performance and service sabotage. This paper is an initial attempt to investigate the underlying mechanisms in the relationship between envy and service sabotage.

This study aims to analyze why listed Taiwanese firms uniquely rejected the early adoption of International Financial Reporting Standards (IFRS) in 2012. It investigates the underlying decision-making processes behind this policy reluctance to further understand the continuous phenomenon of rare voluntary IFRS adoption.

It reports on fieldwork evidence obtained in situ by in-depth interviewing in Mandarin. It uses qualitative methods, complemented by quantitative cost-benefit metrics of IFRS adoption. It presents five diverse illustrative case-study vignettes, using a judgment sample based on expert opinion.

While the net-benefits of implementing IFRS varied across firms, this study’s unanimous finding was that no firms (in the sample or population) adopted IFRS early, despite stated intentions to the contrary. The key reasons for shunning early IFRS adoption were found to be frequent changes in regulations, insufficient benefits from adopting IFRS and the undermining of comparability across companies, compounded with scarce preparation time. Further, this study found that the Taiwanese accounting regulator’s reluctance toward IFRS adoption, partly caused by a long-standing US influence, contributed to this anomalous outcome.

This study recommends two critical policy changes: more realistic timelines and less frequent regulatory changes.

To the best of the authors’ knowledge, this is the first study to investigate the reasons behind the anomaly of no early adoption of IFRS in Taiwan, using new primary data and illustrative case studies. Its novelty lies in extending understanding beyond the existing quantitative literature on accounting standards, using new “thick” qualitative evidence on motives for such choices and decision-making processes, which have been neglected in previous work.

The purpose of this investigation is to examine how the adaption of digital supply chain management (DSCM) practices affects the efficiency of factories and sustainable production. The research consists of eight constructs which, respectively, inspired eight hypotheses.

The emergence of DSCM practices has significant importance for sustainable production and enhances overall firm performance.

The smart PLS-SEM approach allowed us to examine the data from 450 factories in Côte d'Ivoire. The results indicated that research hypotheses are highly significant and exhibit a strong correlation with DSCM for firm performance and competitiveness. The outcomes underscore the significance of DSCM strategies in achieving competitive advantage, enhancing firm performance and promoting sustainable production within the manufacturing sector.

This study is useful for policymakers, industrialists and the government of Côte d’Ivoire.

This study aims to examine how higher education can overcome some of the psychological barriers to pro-environmental behavior among college students by cultivating growth mindset of nature and to investigate whether, how and when growth mindset of nature can enhance pro-environmental behavior.

A three-wave survey was conducted to collect quantitative data on growth mindset of nature, connectedness with nature, pro-environment behavior and pro-environmental school climate among 283 undergraduate college students at two universities in China. This study used the Process Macro for SPSS (models 4 and 14) to reveal the effects of direct, mediating and moderated mediation.

The findings showed that growth mindset of nature positively affected students’ pro-environment behavior. Moreover, growth mindset of nature contributed to pro-environment behavior through the beneficial effects of connectedness with nature. In particular, positive pro-environmental school climate strengthens the mediating effects of connectedness with nature on the relationship between growth mindset of nature and pro-environment behavior.

Growth mindset of nature provides a vital impetus for facilitating college students’ pro-environmental behavior so that universities can incorporate sustainable development, climate change and environmental sustainability into curricula to cultivate students’ growth mindset of nature. Furthermore, educators could develop students’ connectedness with nature through environmental education by directly exposing them to nature. Finally, the pro-environmental school climate is the essential social-environmental nourishment for college students’ pro-environmental behavior.

This study advances implicit theory by introducing implicit beliefs to the environmental realm. Meanwhile, this study solves the puzzle concerning why people are aware of increasingly serious environmental issues, yet few are really engaged in pro-environmental behavior. A second contribution lies in extending the application of the pro-environmental climates into educational contexts to uncover the “black box” of how growth mindset of nature promotes college students’ pro-environmental behavior. Finally, this study enriches the literature on connectedness with nature by exploring the mediating mechanism of connectedness with nature between growth mindset of nature and pro-environmental behavior.

Despite the opportunities of digital twins (DTs) for smart buildings, limited research has been conducted regarding the facility management stage, and this is explained by the high complexity of accurately representing and modelling the physics behind the DTs process. This study thus organises and consolidates the fragmented literature on DTs implementation for smart buildings at the facility management stage by exploring the enablers, applications and challenges and examining the interrelationships amongst them.

A systematic literature review approach is adopted to analyse and synthesise the existing literature relating to the subject topic.

The study revealed six main categories of enablers of DTs for smart building at the facility management stage, namely perception technologies, network technologies, storage technologies, application technologies, knowledge-building and design processes. Three substantial categories of DTs application for smart buildings were revealed at the facility management stage: efficient operation and service monitoring, efficient building energy management and effective smart building maintenance. Subsequently, the top four major challenges were identified as being “lack of a systematic and comprehensive reference model”, “real-time data integration”, “the complexity and uncertainty nature of real-time data” and “real-time data visualisation”. An integrative framework is finally proposed by examining the interactive relationship amongst the enablers, the applications and the challenges.

The findings could guide facility managers/engineers to fairly understand the enablers, applications and challenges when DTs are being implemented to improve smart building performance and achieve user satisfaction at the facility management stage.

This study contributes to the knowledge body on DTs by extending the scope of the existing studies to identify the enablers and applications of DTs for smart buildings at the facility management stage and the specific challenges.

Homophily, a prominent phenomenon in social networking, profoundly shapes user behaviors on social media but has not been well studied in the livestream commerce context. This study aims to investigate its moderation role in leveraging the effects of key livestream commerce factors – perceived expertise of live streamers and perceived interaction during live streaming – on audience trust, a critical determinant of purchase intentions.

A survey was conducted among livestream shoppers on Taobao. A sample of 313 responses was analyzed. SPSS (version 29) was used for general statistical analysis. The partial least squares structural equation modeling approach with SmartPLS 4.1 software was used to assess the research model and hypotheses.

The results reveal noteworthy differential effects of homophily: it negatively moderates the expertise–trust association but positively moderates the interaction–trust relationship. When the audience perceives strong homophily with live streamers, their trust in these live streamers becomes increasingly contingent on the level of interaction, whereas the effect of perceived expertise diminishes.

The insights on the differential effects of homophily are novel to the literature. These findings extend theoretical understanding of the homophily effect and provide valuable guidance for live streamers, marketers and platforms seeking to reinforce audience trust and drive purchase intentions in livestream commerce.