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Sustainability entails promoting social development and meeting current needs without jeopardizing future life on Earth. It encompasses responsible resource stewardship and a consideration of environmental, social, and economic impacts. Sustainable tourism, as defined by the World Tourism Organization (WTO), addresses these impacts and balances economic prosperity, social well-being, and environmental preservation. Despite the tourism industry’s growth, its carbon-intensive nature significantly contributes to climate change, necessitating the adoption of sustainable practices. The global carbon footprint from tourism has risen, projecting to reach 6.5 GtCO₂e by 2025, further stressing the environment. Sustainable tourism aligns with the United Nations’ Sustainable Development Goals, particularly SDG 8 and SDG 12, which emphasize inclusive and sustainable economic growth, and responsible consumption and production patterns. Technological advancements, such as AI and the Internet of Things, offer innovative data-driven solutions that not only revolutionize the tourism ecosystem but also mitigate its environmental impact. These technologies can help monitor and manage resource use in real time, promote renewable energy, and facilitate eco-friendly tourism practices. Embracing Industry 5.0, which integrates human capabilities with intelligent machines, the tourism sector can achieve human-centric, resilient, and sustainable growth. Future research should explore technology’s role in sustainable tourism, focusing on its environmental benefits and alignment with sustainability goals.

This study aims to examine the association between mobile payment usage and financial anxiety and explore the mediating role of financial behavior. Moreover, this research also compares the moderating effects of financial education and financial knowledge.

A sample of 18,584 consumers from the 2021 National Financial Capability Study in the USA was analyzed. Structural equation modeling (SEM) was employed to explore indirect associations between mobile payment usage and financial anxiety. Two undesirable financial behaviors, overspending and overindebtedness, were used as mediators between mobile payment and financial anxiety. Moreover, multi-group analyses were conducted for two financial knowledge groups and two financial education groups to examine the heterogeneity. A robustness test is employed to ensure the reliability of the results.

The SEM results showed that the positive association between mobile payment and financial anxiety was mediated by overspending and overindebtedness in a parallel multiple mediation relationship. In addition, financial knowledge moderated the relationships between financial behaviors (overspending or overborrowing) and financial anxiety, while financial education moderated the associations between mobile payment use and overspending and between overspending and financial anxiety.

This study is limited by its use of cross-sectional data, which restricts conclusions on causality and temporal dynamics. Additionally, the study does not account for the potential bidirectional relationship between financial anxiety and mobile payment usage, which warrants further exploration. The mediating variables examination focus mainly on overspending and overindebtedness, suggesting the need to explore other factors like budgeting and saving. Finally, the study’s findings may not generalize to other populations, highlighting the need for research in diverse cultural contexts.

Consumers should be cautious of increased financial anxiety linked to overspending and debt. Platforms can help by enabling spending limits, sending alerts and providing detailed expenditure analysis. Stricter controls on loans and government regulations may also be needed to curb overindebtedness. Additionally, financial knowledge does not mitigate these risks, so even knowledgeable users should be cautious. Financial education programs should address debt management alongside overspending to provide a more comprehensive understanding of financial well-being.

This study explored the association between mobile payment use and financial anxiety and how undesirable financial behaviors like overspending and overindebtedness mediate this process. Furthermore, multi-group analyses were employed in financial education subsamples and financial knowledge subsamples. Based on the findings, implications were discussed for individual users, government regulation and education programs of mobile payment.

This study evaluates the knowledge structure of medical tourism within the geographical context of South East Asia. This region is one of the growing economic powerhouses in the world, and tourism activities have contributed a lot to its advancement.

Applying a science mapping technique using bibliometric analysis, the current and emerging themes and future trends are analyzed using bibliographic coupling and co-word analysis.

Findings show that current trends produced four themes: Fundamentals of medical tourism in Southeast Asia, determinants of tourist medical tourism visits, quality of medical and health service in Southeast Asia and impact of medical tourism on national economic growth. The future trends also produced four themes related to navigating excellence in medical tourism, medical tourism and economic growth, service quality in medical tourism services and accredited destinations in the globalized era of medical tourism.

This study is relevant to all stakeholders, operators and local communities in Southeast Asia tourism destinations to provide the best medical tourism with the best quality service and technologies.

This study fills the gap by performing a bibliometric approach to reviewing medical tourism in Southeast Asia using a science mapping technique. Crucial themes are produced through topological and temporal streams that provide critical insight for future developments in medical tourism in the region.

The thriving global tourism industry is a pivotal player in the global economy. It significantly contributes to a substantial carbon footprint through emissions from transportation, lodging, and infrastructure. In this study we have conducted a critical analysis of carbon emissions within the tourism industry using previous academic literature and institutional databases. Addressing the importance of measuring carbon footprints, the study delves into the definition of the carbon footprint in this sector, emphasizing the urgent need to comprehend and address its effects. This investigation also centers on the aspect of transportation, which is contributing to carbon emissions in the tourism industry. It explores variations based on transportation modes and discusses mitigation strategies, such as green transit. It also concentrates on accommodation, scrutinizing its environmental impact by evaluating carbon emissions from energy consumption, water usage, and waste generation in hotels and resorts. Emphasis is placed on promoting sustainable and green lodging facilities. Furthermore, this study examines the environmental impact of the tourism industry. Specifically, it examines the carbon footprint associated with infrastructure development. The analysis includes the impact of construction and development, resource consumption, and the role of communities and stakeholders in sustainable tourism planning. Furthermore, an assessment is conducted to examine the obstacles associated with adopting sustainable practices and assess the effectiveness of implemented mitigation strategies within the tourism industry. The concluding section outlines future perspectives and recommendations for research.

Digital voice assistants (DVAs) are revolutionising consumers’ interactions with technology and businesses. Whilst research on the adoption of these devices is rapidly expanding, few have explored post-adoption behaviour. To fill this gap, we investigate how functionality and human-like features shape customers’ emotions, engagement and loyalty towards DVAs.

The data were collected through a self-administered online survey from 509 DVA users. Structural equation modelling was employed for data analysis.

The results reveal that distinct human-like and functional factors of DVA independently explain customers’ positive emotions and engagement with DVAs. Positive emotions and engagement significantly impact customer loyalty to DVAs. The study shows that localisation of DVAs has a significant positive moderating influence on the service experience-customer engagement relationship but a negative moderating influence on the anthropomorphism-customer engagement relationship.

Unlike previous research, this study contributes to the literature by delving into post-adoption phenomena. It explains how DVAs’ human-like and functional attributes drive customers’ positive emotional responses, engagement and loyalty towards DVAs. The findings not only unveil new insights into the moderating role of localisation but also provide a crucial understanding regarding the boundary conditions of the influence of anthropomorphism and service experience on customer engagement.

This study aims to focus on how smartphone addiction impacts young consumer behavior related to mobile technology (i.e. the compulsive app downloading tendency). After a thorough literature review and following the risk and protective factors framework, this study explores factors that could mitigate its effects (resilience, family harmony, perceived social support and social capital).

The study used the covariance-based structural equation modeling approach to analyze data collected from 275 Generation Z (Gen Z) smartphone users in Spain.

Results suggest that resilience is a critical factor in preventing smartphone addiction, and smartphone addiction boosts the compulsive app downloading tendency, a relevant downside for younger Gen Z consumers.

Through the lens of the risk and protective factors framework, this study focuses on protective factors to prevent smartphone addiction and its negative side effects on app consumption. It also offers evidence of younger consumers’ vulnerability to smartphone addiction, not because of the device itself but because of app-consumption-related behaviors.

The purpose of this paper is to fill low content of silica to improve the wear resistance of graphite/polytetrafluoroethylene (PTFE) composites, and to discuss the effect of low content of silica on the morphology of terrace-like transfer film.

The tribological properties of silica/graphite/PTFE composites were tested by rotating pin-on-disk friction and wear tester, and the morphology of terrace-like transfer film was observed by 3D laser scanning microscope and quantitatively analyzed through the multi-Gaussian function linear combination model.

The results showed that adding 3 wt.% silica in graphite/PTFE composites can reduce the wear rate by 87%. More importantly, the morphology of terrace-like transfer film changed significantly after filling a small amount of silica, including the increase of the number of layers and the coverage rate of transfer film.

This work is of great significance for further understanding the transfer film and achieving its morphology control to optimize the wear of high performance PTFE composites.

This paper aims to examine the mediating role of occupational stress in addressing the missing link between organisational intelligence (OI) traits and digital government service quality and propose relevant strategies in sustaining the digital government service quality whilst enhancing the psychological well-being of the service providers.

This paper utilises a triangulation design approach to interpret the findings of the study and propose pertinent strategies. Firstly, we examined the mediating role of occupational stress in addressing the link between OI traits, and digital government service quality. Next, we examined the priority factors of OI traits and occupational stress to sustain the quality of digital government services via the Importance-Performance Map Analysis (IPMA). These findings were cross-examined with the code’s percentage generated from participants’ open-ended survey feedback on aspects that requires improvement in sustaining service quality.

In principle, occupational stress mediates the relationship between OI traits at the third-order component level and digital service quality. Analysis at the lower component level shows that the mediation effect of occupational stress is only significant in the presence of employee-oriented OI traits and “Alignment and Congruence”. Accordingly, the IPMA exhibited the importance of “Job engagement”, “Alignment and Congruence” and “Occupational Stress” in sustaining service quality. Conversely, code’s percentage analysis demonstrated the role of other insignificant traits such as “Leadership” and Appetite for Change and Knowledge Deployment’ in ensuring the sustainability of digital service quality.

By integrating the Organisational Model of Stress with Public Service-Dominant Logic, this paper rejuvenates the stressors utilised in a traditional work setup and widens the perspective of individual job performance to organisational level performance, to reflect the context of today’s public service delivery. We triangulated the outcome from mediation analysis, IPMA as well as open-ended feedback analysis and propose prioritisation on the aspects of “Employee-oriented traits”, “Psychological Well-being”, “Alignment and Congruence”, “Leadership” and “Appetite for Change and Knowledge Deployment” aspects for sustaining digital government service quality. Considering the significance of occupational stress in sustaining service quality in both quantitative and qualitative analysis, this paper also takes the approach of proposing a stress intervention program at the individual and organisational levels to manage the psychological well-being of the service providers.

This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.

This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.

The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.

As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.

This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.

Based on integrating social exchange theory and input-mediator-output-input model, the current study proposes a model to explore the relationship between benevolent leadership and creative work behavior of Vietnamese university staffs.

A printed questionnaire was developed and directly distributed to 503 Vietnamese university staffs from 1st to 27th October in 2023 using the quota sampling method. After removing 61 missing data and outlier cases, a total of 442 valuable cases were used for further investigation. SPSS 22 and SMARTPLS version 3.2.2 was employed for data analysis.

Our study found the positive relationship between benevolent leadership and creative work behavior through the mediation of innovative climate and fear of failure. The findings also indicated that benevolent leadership fosters an innovative climate and reduces subordinates’ fear of failure, then increases subordinates’ creative work behavior.

The present study explored mechanisms of benevolent leadership effect on creative work behavior of university staff. From that, contributing several practical implications for university leaders and educators in fostering university staff’s creative work behavior. This research contributed to the knowledge domain of leadership and creative work behavior of employees in higher education.