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This study aims to explore work–life integration (WLI) as a crucial mechanism underpinning the transformation of the hospitality and tourism industry from shifts in work paradigms, including rapid technological advancements, flexible work forms, quiet quitting, increasing awareness of well-being, cultural diversity and gender disparity. It further develops the coping strategies and research agenda.

Through the bridged lens of the work–life boundary theory and conservation of resources theory, this research critically analyzes the literature on emerging work paradigms and WLI and develops a conceptual framework guiding the systematic examination of the WLI mechanisms underpinning the influence from work paradigm shifts.

The analysis reveals the underpinning mechanisms in managing WLI, highlighting the importance of systematic and customized work–life management strategies in adapting to evolving work paradigms. An integrated conceptual framework is developed to guide future research and practical applications.

This study underscores the critical need for strategic WLI management, emphasizing its importance for sustainable industry development. It also proposes actionable work–life management strategies for stakeholders, aiming for positive outcomes at personal, organizational and industrial levels amid the paradigm shifts.

The comprehensive conceptual framework uniquely bridged two theories that afford a novel, interconnected and in-depth approach to analyzing how work paradigm shifts reshape the industry. It further broadens the research agenda on WLI, with promising research directions proposed for advancing the understanding of the ever-evolving hospitality and tourism work landscapes.

The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. Nevertheless, there are also challenges that the stakeholders should observe when they are considering the potential of GAI. Given this backdrop, this study presents the viewpoints gathered from various subject experts on six identified areas.

Through an expert-based approach, this paper gathers the viewpoints of various subject experts on the identified areas of tourism and hospitality, marketing, retailing, service operations, manufacturing and healthcare.

The subject experts first share an overview of the use of GAI, followed by the relevant opportunities and challenges in implementing GAI in each identified area. Afterwards, based on the opportunities and challenges, the subject experts propose several research agendas for the stakeholders to consider.

This paper serves as a frontier in exploring the opportunities and challenges implicated by the GAI in six identified areas that this emerging technology would considerably influence. It is believed that the viewpoints offered by the subject experts would enlighten the stakeholders in the identified areas.

The COVID-19 pandemic and the corresponding control measures have harmed the mental health of professionals working in the construction industry. Existing research has also indicated that demographic characteristics are leading variables causing differences in individual’s perceptions on mental health and psychosocial hazardous factors. Combining these, this research aims to compare the differences and similarities of the perceived mental health outcomes and psychosocial hazards among construction professionals with different demographic characteristics during the pandemic.

Using a questionnaire survey, data were collected from 531 construction professionals working in Chinese construction companies, which were analyzed quantitatively using mean score comparative analysis, Mann–Whitney U test and Kruskal–Wallis H test, as well as Spearman’s correlation analysis.

The results indicate that construction professionals with different ages, years of working experience and positions are exposed to different psychosocial hazards, resulting in different mental health conditions during the pandemic. Age and years of working experience are also strong predictors of the level of depression and anxiety experienced by construction professionals; that is, mental ill health tends to decrease with the increase of age and experience. Male department/unit heads, working in a company office environment for a private company and aged 31–40 years old with 11–20 years of working experience, tend to have the best mental health condition. In contrast, psychosocial hazards are more likely to produce the most serious impact on male site-based construction professionals working for a state-owned company, either with less than one year of working experience or in a senior management position.

Despite the significant contribution of the construction industry to the global economy, the differences and similarities of the mental health outcomes and psychosocial hazards among construction professionals with different demographic characteristics during the pandemic remain unknown. This research, therefore, reveals the mental health outcomes and psychosocial hazard impacts among different types of construction professionals during the pandemic. Specifically, this research unveils the important personal characteristics which are closely associated with poor mental health and the stronger impacts of psychosocial hazards on the mental health of construction professionals during the pandemic. The results are valuable for governments and construction companies to formulate targeted mental health intervention strategies during future public health emergencies.

Social media usage has been documented to affect the psychological well-being of its users. This study aims to examine how social media overload influences cognitive fatigue among individuals in Malaysia.

This study employed a comprehensive research framework based on the stressor-strain-outcome (SSO) model to examine how perceived overload affects social media cognitive fatigue through emotional exhaustion and anxiety. Survey data were gathered from 451 social media users in Malaysia, and data analysis was performed using PLS-SEM.

The findings revealed that information overload, communication overload and interruption overload are antecedents of emotional exhaustion. Communication overload, interruption overload and cognitive overload were identified as antecedents of anxiety, while emotional exhaustion and anxiety were confirmed as predictors of social media cognitive fatigue. However, pathway analysis indicated no relationship between emotional exhaustion and anxiety.

Our study contributes to the literature on media technology and media psychology by examining the psychological mechanisms (emotional exhaustion and anxiety). The findings offer implications for service providers, practitioners and social media users, as they facilitate measures and strategies to mitigate the adverse effects of social media while elevating psychological well-being.

As less is known about how internal communication can influence employees’ whistleblowing intention, this study aims to explore how participatory communication, organizational listening and organizational responsiveness influence employees’ external whistleblowing intention.

An online survey was conducted with 657 employees across various industries in the United States.

The results revealed that participatory communication, organizational listening and organizational responsiveness can fulfill the organization’s relational contract with their employees. As a communication-charged outcome, the fulfillment of employees’ relational psychological contract is associated with a lower intention to blow the whistle externally.

This study is among the first to examine internal communication strategies, namely, participatory communication, organizational listening and organizational responsiveness, as the antecedents of employees’ relational psychological contract and external whistleblowing intention.

We examine the role of internet speed in sophistication among individual investors.

This paper utilizes archival data and regression-based analyses in examining the research question.

We first show that higher individual investor internet speed (IIIS) is associated with geographic measures of education, job type and income of users accessing EDGAR filings. We then show that higher IIIS is positively related to the market reaction to newly released 10-K, 10-Q and 8-K filings and that the relation is stronger for companies and filings where greater sophistication is needed. Higher IIIS is also associated with a lower price drift after the release of a 10-K, 10-Q and 8-K filing on EDGAR.

Overall, our findings suggest that greater internet access speeds can aid in the sophistication and price discovery process for individual investors.

The purpose of the study is to investigate strategies for enhancing pollution oversight by local governments while reducing government-enterprise collusion (GEC) levels. Additionally, the factors influencing pollution control efforts at incineration plants are explored. Potential approaches to improving them and for effectively reducing waste incineration pollution are suggested.

The authors examined the most effective methods for mitigating incineration-related pollution and preventing collusion and developed a differential game model involving interactions between local governments and incineration plants. The findings of this work have significant policy implications for central governments worldwide seeking to regulate waste incineration practices.

The results indicate that, first, elevating environmental assessment standards can incentivize local governments to improve their oversight efforts. Second, collusion between incineration plants and local governments can be deterred by transferring benefits from the plants to the local government, while increased supervision by the central government and the enforcement of penalties for collusion can also mitigate collusion. Third, both central and local governments can bolster their supervisory and penalty mechanisms for instances of excessive pollution, encouraging incineration plants to invest more in pollution control. Finally, when the central government finds it challenging to detect excessive incineration-related pollution, enhancing rewards and penalties at the local government level can be a viable alternative.

This study stands out by considering the dynamic nature of pollutants. A differential game model is constructed which captures the evolving dynamics between local governments and incineration plants, offering insights regarding the prevention of collusion from a dynamic perspective. The findings may provide a valuable reference for governments as they develop and enforce regulations while motivating incineration plants to actively engage in reducing waste-incineration pollution.

This research aims to examine the effect of organisational culture on supply chain collaboration and firms’ competitive advantage in the garment industry in Vietnam.

Underpinned by the relational view and the organisational culture theories, the conceptual framework was proposed. This study obtained data from a survey of 192 managers in garment firms in Vietnam. A structural equation modelling was employed to examine the relationship between organisational culture, supply chain collaboration and competitive advantage.

There was a significant positive relationship between organisational culture in terms of group and development types and supply chain collaboration. Besides, the results revealed a significant positive relationship between supply chain collaboration and competitive advantage in terms of cost and differentiation. Furthermore, the cost competitive advantage was also found to have a significant positive effect on differentiation competitive advantage.

This study is perhaps one of the first empirical attempts to examine the relationship between organisational culture, supply chain collaboration and competitive advantage in the garment industry in Vietnam. Moreover, this study extends the application of the relational view and organisational culture theories in explaining these relationships in a new research context.

This study aims to assess the nexus among output growth, renewable energy consumption, financial development and environmental quality (EQ) in the presence of non-renewable energy consumption for India using annual time series data for the period 1980–2021.

To conduct an econometric analysis, this study uses the augmented autoregressive distributed lag (AARDL) model, which offers the benefit of simultaneously estimating both long-run and short-run estimators. Furthermore, this study uses the Toda-Yamamoto (1995) test and the Breitung and Candelon (2006) test to explore causal relationships in both time and frequency domains (FDs), aiming to understand the dynamic associations between variables.

Using the AARDL model, the authors found that initially, with an increase in output growth, EQ deteriorates, but once output growth reaches a threshold level, EQ improves. Likewise, this study found that financial development enhances EQ. Furthermore, the authors found a unidirectional causality from the load capacity factor (LCF) to output growth, renewable energy consumption and non-renewable energy consumption in the case of time domain analysis, and no feedback causality was documented. In the FD causality approach, this study reveals a causality nexus from LCF to output growth, financial development and renewable energy consumption at low, middle and high frequencies.

The findings highlight the need for targeted policies to balance economic growth and environmental sustainability in India. Policymakers should promote green technologies and enhance renewable energy use to mitigate the initial negative impact of output growth on EQ. The positive role of financial development suggests that encouraging green financing and sustainable investments can further improve environmental outcomes. The Indian economy needs to prioritise sustainable growth in its financial sector by aligning it with ongoing transformative processes for sustainable development. To achieve the sustainable development goals pertaining to EQ, the Indian economy must diminish its reliance on fossil fuels. In addition, the government of India must provide financial assistance to environmental organisations to foster the LCF.

To the best of the authors’ knowledge, this is the first study to investigate the dynamic nexus among financial development, output growth, renewable energy consumption and EQ proxied by LCF within the Indian context in the presence of non-renewable energy consumption. Likewise, this study uses the LCF to assess environmental sustainability in India, offering a comprehensive evaluation by integrating both supply and demand dimensions. From a policy perspective, this study highlights the significance of fostering sustainable economic growth, implementing environmentally conscious banking policies, and adopting diversified and ecologically friendly strategies. These policy directions are essential for conserving ecological resources and fostering a more sustainable and resilient development trajectory for India.

This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study investigates the moderation of top management support (TMS) to strengthen the mediation of specific constructs; GM, GDC, green value co-creation (GVC) and green innovation (GI).

In total, 337 respondents (executive level/chief executive officer (CEO)) of service organizations were approached using a convenience sampling technique to collect the data through the survey method. Of these, 294 (87% response rate) duly filled responses were used in the final data analysis. In SPSS (Statistical Package for Social Sciences) v-23, the Process Macro-Hayes was used to evaluate the study's conceptual framework empirically.

The study revealed that TMS strengthened the mediation framework of GM, GDC, GVC and GI. Moreover, all hypotheses related to direct and indirect associations of specific constructs used in the theoretical framework were statistically significant and proved.

The comprehensive framework for GI of service organizations, primarily in the context of developing countries like Pakistan, is deficient in literature. This study helps service organizations by providing a comprehensive GI model to put a central focus on the transformation of management philosophy and working approach for achieving GI in the services structure.