Tourism and Hospitality

The COVID-19 pandemic severely affected Japan’s tourism-related industries, leading to significant revenue losses in the accommodation, restaurant, and tourist facility sectors. Many businesses experienced difficult situations, resulting in closures and layoffs as a result of the prolonged decline in tourism demand. Focusing on the first half of the pandemic (2020–2021), this study analyzes the loss of sales and the influencing factors among tourism-related businesses in the Nishimikawa region of Aichi Prefecture. A questionnaire survey was conducted in November 2021, and changes in sales from April 2020 to September 2021 were estimated to assess the economic impact across different sectors. A quantitative analysis was also performed to examine the relationship between sales and the state of emergency, the domestic travel subsidy program Go To Travel campaign, and business attributes. The results indicate that COVID-19 severely impacted business sales, especially in the accommodation and food service sectors, while the tourism facility and retail sectors were less affected. In the Nishimikawa region, popular for day trips from nearby areas, the Go To Travel campaign had a limited effect, highlighting the need for region-specific support measures. Full article

This study explores the motivations of students pursuing a university degree in hospitality and tourism and their intention to build a career in the sector. The research focused on students and recent graduates (up to two years post-graduation) from two universities in Portugal’s largest cities, Lisbon and Oporto, offering Hotel/Tourism Management programs. A quantitative study was carried out, and out of 610 questionnaires distributed, 346 valid responses were analysed using the structural equation modelling technique. Findings indicate that personal motivations, as well as macro and micro perspectives, influence the decision to pursue a degree in hospitality and tourism. Younger individuals with no prior industry experience tend to have a more optimistic outlook compared to older students or those with work experience. A key challenge is sustaining this optimism throughout their careers, which can enhance job satisfaction and improve retention in a sector known for high turnover rates. Unlike previous studies, this research links students’ motivations to their “Ikigai”—the pursuit of purpose and fulfilment. The desire to create meaningful experiences for others adds another dimension to understanding students’ motivations, particularly when considering differences in age and work experience. Full article

Through empirical analysis, this paper uses panel data from 30 provinces in China (excluding Hong Kong, Macao, and Taiwan, as well as Tibet) from 2010 to 2022 to explore in-depth and empirically test the relationship between the impact of digitalization technology on tourism economic growth and the intrinsic mechanism of its action. The results found that: first, digital technology has a significant impact on tourism economic growth, and second, digital technology has a significant impact on tourism economic growth. Significant promotional utility and, secondly, tourism industry efficiency, play a partial mediating role in the relationship between digital technology and tourism economic growth, i.e., digital technology can promote tourism economic growth by positively affecting tourism industry efficiency. This paper also reveals the role of digital technology in promoting the efficient development of the tourism industry, including the optimal allocation of resources and the improvement of service efficiency, which in turn promotes the innovative development of the tourism economy. Finally, in response to the challenges posed by digital transformation, suggestions are made to strengthen regulation and standardize the market order to ensure the sustainable and high-quality development of the tourism industry. Full article

This study investigates how workplace stressors influence the intention to quit among male employees working in five-star hotels in Egypt, with a focus on the mediating role of psychological distress and the moderating role of psychological flexibility. A cross-sectional survey was conducted with 334 full-time male hospitality workers. Using partial least squares structural equation modeling (PLS-SEM), the study examined the relationships between workplace stressors, psychological distress, the intention to quit, and psychological flexibility. The results showed that higher levels of workplace stressors were significantly associated with increased psychological distress and a stronger intention to quit. Psychological distress partially explained (mediated) the link between stressors and quitting intentions. Moreover, psychological flexibility acted as a buffer (moderator), reducing the negative impact of workplace stress on distress and, in turn, on quitting intentions. These findings highlight the unique contribution of the study in applying the transactional model of stress and coping within a Middle Eastern hospitality context, focusing exclusively on male workers—an understudied group in the existing literature. To address these challenges, hospitality managers are encouraged to adopt evidence-based interventions such as mindfulness-based stress reduction (MBSR) and acceptance and commitment therapy (ACT) to strengthen employees’ psychological flexibility and reduce the turnover risk. The study offers valuable insights for researchers, organizational leaders, and HR practitioners aiming to improve employee well-being and retention in high-pressure service environments. Full article

This paper explores the energy-saving behavior of hotel guests in the Vietnamese context. We adapted the theory of planned behavior (TPB) and the norm activation model (NAM) to develop a research model with six determinants of energy-saving intention and behavior. A self-administered online survey was implemented to collect data from hotel guests in Hanoi and Quang Ninh provinces. After 4 months, we received 253 valid responses for further analysis. SmartPLS 4.0 software was employed for structured equation model testing. Our findings showed that TPB variables and NAM variables jointly explain the energy-saving intention and energy-saving behavior of Vietnamese hotel guests. Among the three factors of TPB, subjective norms have the most substantial impact on energy-saving intention and a significant direct effect on energy-saving behavior. Meanwhile, awareness of consequences does not significantly affect personal norms, and in turn, personal norms do not directly affect energy-saving behavior. Thus, we proposed several solutions to hotel managers to promote energy-saving initiatives and attract the engagement of their guests in these initiatives. Full article

When the UN Sustainable Development Goals (SDGs) were proposed, they provided a reality check, questioning the ways in which organisations were addressing the needs of society and the planet, across all sectors worldwide. In response, this study contributes to SDG 12, Responsible Production and Consumption, more specifically considering support for restaurant owners as they transition into environmentally focused and sustainable operations, in particular with the proposal of a researched and informed sustainability toolkit. To understand the factors underpinning successful sustainability practices in restaurants, we utilise the motivation, opportunity, and ability (MOA) framework, applying a two-step focus group methodology. The first focus group included restaurant owners/managers who had effectively applied sustainable operational practices. For the second focus group, we utilised MOA factors uncovered in the first group as discussion points to engage with restaurant owners/managers who had yet to embrace environmentally sustainable practices in order to understand the reasons preventing them from applying sustainability practices. Continuous networking and dynamic support were highlighted as crucial elements needed by restaurant owners to enable them to adopt and fruitfully implement sustainable practices. Theoretical contributions include the value of the MOA framework for evaluating sustainability practices, informing the development of a sustainability toolkit, and its suitability as a framework to support non-chain tourism businesses in developing practices to support sustainability, inclusivity, and access. Full article

Motorsports tourism has a significant impact on host communities, especially when they are small communities. This research aims to segment the resident population of a very small rural municipality, Obejo, before the celebration of the Sierra Morena Rally in the province of Cordoba, Spain. The study is based on the principles of social exchange theory (SET) and the triple bottom line (TBL). In addition, it follows calls from the existing academic literature to explore a fourth dimension of impact perception, related to inclusion from the point of view of gender, age, and functional diversity. exploratory factor analysis (EFA) and non-hierarchical cluster analysis were used on a sample of 281 residents. A structure of four dimensions of impact perception is obtained: economic, social, environmental, and inclusive. Together, they explain just over 80% of the total variance. Three population segments are defined: motor enthusiasts, environmentally conscious fans, and admitted critics. This study underlines the need to expand the TBL framework with an inclusive dimension in motorsports tourism, emphasizing gender equality, intergenerational participation and functional diversity to foster more sustainable and socially cohesive events in rural areas. Full article

The study investigates how information asymmetry affects customer satisfaction in the tourism industry by examining trust and perceived value as mediating factors. The research implements an integrated model to test and prove information asymmetry’s direct and mediating effects on customer satisfaction by examining the literature gap. The research used a quantitative approach based on opinion polls distributed to 408 customers of hotels, tourism companies, and travel agencies who were in Egypt. SmartPLS 3 software implemented the data analysis process using partial least squares structural equation modeling (PLS-SEM). Previous studies have developed scales to measure information asymmetry and its related constructs, including customer trust, perceived value, and customer satisfaction. Multiple tests showed that the measurement tools possess both reliability and validity. Results strongly support all hypotheses: information asymmetry demonstrated significant direct negative effects on customer satisfaction (β = −0.187), trust (β = −0.520), and perceived value (β = −0.453). Conversely, customer satisfaction received significant positive direct effects from both trust (β = 0.273) and perceived value (β = 0.263). Importantly, trust (indirect effect β = −0.142) and perceived value (indirect effect β = −0.119) acted as powerful mediators, confirming that information asymmetry diminishes satisfaction largely by eroding these crucial factors. Crucially, the results demonstrate that the negative impact of information asymmetry on customer satisfaction is significantly mediated jointly through two parallel pathways: the erosion of customer trust and the impairment of perceived value. The research adds theoretical support to information asymmetry theory with its findings while also extending trust theory, perceived value theory, and expectancy disconfirmation theory in the field of e-commerce. E-commerce entities must establish clear communication to gain customer trust and create perceived value that helps compensate for information asymmetry to create enhanced customer loyalty and superior market position. Full article

This article analyzes the application of artificial intelligence in the tourism sector in Lithuania, Latvia, and Sweden. This paper aims (1) to identify the benefits of AI-based digital tools for the operations of tourism organizations, and (2) to identify the challenges in using AI-based digital tools in tourism organizations. An analysis of scientific literature has been carried out and the primary data have been obtained from 17 semi-structured interviews conducted in tourism enterprises of three countries. The survey sampling method used is criterion sampling. The data were analyzed using qualitative content analysis, applying a conventional approach to content analysis using an inductive coding process. The main benefits of AI-based digital tools for tourism organization activities are personalization of services, automation and increased operational efficiency of tourism organization activities, etc. Tourism organizations implementing or already using artificial intelligence in their activities are usually faced with the challenge of ensuring data privacy and security, the high costs of implementing artificial intelligence systems, etc. Full article

Seasonality, a defining characteristic of tourism, is recognized as a significant challenge for regional tourism, affecting local economies and limiting sustainable development. Among the various strategies that the literature suggests to alleviate its negative effects, the organization of events stands out. In particular, sport events have gained recognition as an essential element for all-year round tourism development. However, a deeper understanding of how tourism practitioners (those experiencing the personal and financial difficulties of seasonality) perceive the potential of sport events to smooth its challenges has not yet been explored enough. This study aims to fill this gap by examining tourism practitioners’ views on the role of sport events, particularly running ones, in mitigating tourism seasonality. To achieve this, in-depth qualitative interviews were conducted with tourism practitioners from selected regions of Greece who, as active stakeholders, shared their perspectives in the development of regional tourism through the year round. The data gathered from these interviews was analyzed using thematic analysis. The results indicate that most of the respondents recognize seasonality as a significant challenge and they share a common concern regarding its adverse effects on both regional tourism and on their local businesses. Themes of survival and sustainability emerged consistently, emphasizing the need to implement various initiatives, aside from sport events, to mitigate its effects. This study contributes to the ongoing discussion on seasonality, focusing on its economic and social implications, particularly from the perspective of tourism professionals. It also provides practical recommendations for destination managers on utilizing sport events as a tool for promoting tourism during off-season periods. Lastly, the findings highlight the need for localized and collaborative initiatives to address seasonality issues and support sustainable development. Full article

Work-related constraints significantly hinder individuals’ ability to engage in leisure travel, impacting mental health and work–life balance. This study investigates the influence of work-related travel constraints on travel intentions using the Theory of Planned Behavior (TPB) as a framework. By integrating work-related constraints into the TPB model, this study examines how these barriers shape attitudes, subjective norms, and perceived behavioral control, as well as their subsequent impact on travel intentions. Data were collected through an online survey of 274 employed individuals in South Korea and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that work-related travel constraints negatively affect attitudes and perceived behavioral control, which in turn reduce travel intentions. Subjective norms, however, positively influence attitudes and perceived behavioral control, highlighting the critical role of social support in mitigating constraints. Additionally, attitudes mediate the relationship between work-related constraints and travel intentions, as well as between subjective norms and travel intentions. These results emphasize the psychological and structural effects of work-related constraints on leisure travel decisions. The research offers both theoretical and practical insights, advocating for workplace policies and initiatives aimed at enhancing work–life balance and facilitating leisure travel for individuals facing constraints. Full article

Airports are critical global transit points, yet their medical services often overlook emergency dental care—a vital component of comprehensive passenger assistance. This study examines the availability of dental services at 28 European airports accommodating over 20 million passengers annually. Using content analysis of official airport websites, the presence of terms like “dental” and “dentist” was documented. Results reveal that only six airports provide dental services, with Istanbul Airport being the sole facility offering 24/7 emergency care airside. Other airports limit services to landside and operate within standard hours. The lack of widespread dental care in airports highlights a significant gap in passenger health services, with implications for traveler satisfaction, operational efficiency, and overall public health. This analysis underscores the need for broader integration of dental facilities into airport infrastructures to meet the diverse and urgent needs of global travelers and staff. Full article

This study examined the trends and key themes of artificial intelligence in the field of tourism and hospitality research. On 5 March 2025, a search was performed using “artificial intelligence” and related terms in the “Title, Abstract, and Keywords”, focusing on tourism and hospitality journals indexed in Scopus. The identified documents were subjected to performance analysis and science mapping techniques. The search yielded 921 documents, comprising 882 articles and 39 reviews. The number of documents increased from 3 in 1987 to 277 in 2024. R. Law from the University of Macau was the most prolific author, while the Hong Kong Polytechnic University recorded the highest publication count. Chinese researchers produced the most documents, totaling 262 articles and reviews. A keyword co-occurrence analysis revealed four key themes: “machine learning and sentiment analysis of online reviews”, “adoption of AI including robots and ChatGPT in the hospitality industry”, “artificial neural networks for tourism management and demand analysis”, and “random forest models in travel”. Additionally, the study noted a shift in research focus from tourism demand forecasting and sentiment analysis to using service bots and applying artificial intelligence to enhance service quality, with a recent emphasis on generative AI tools like ChatGPT. Full article

This article explores the development process of a sharing platform in the tourism industry, drawing on a longitudinal case study of a sharing-based business in adventure tourism in Sweden. The purpose is to explore how sharing business models emerge through processes of ideological narration—the strategic use of stories to shape and sustain a business. Over a two-year period, empirical data were collected through in-depth interviews, participant observations, and document study. The findings suggest that sharing business models are developed in processes of ideological narration designed to attract labour, capital, and users to a digital platform. Four master narratives are identified—sharing, sustainability, shared identity, and profit-making—narratives grounded in conflicting ideological logics. The dominance of these narratives shifts over time, reflecting different priorities and challenges encountered at various stages of a sharing business model’s development. This dynamic highlights the fluid and multi-faceted nature of narratives in shaping and sustaining sharing businesses in the tourism industry. Full article

It is necessary for the allocation of resources to be more efficient, and making more adequate operational strategies to realize productivity change is contributed to by the kind of output sources in the hotel’s production process. This study tries to propose hotel productivity change models from overall and disaggregate perspectives by using the Luenberger productivity index based on directional distance function. Empirical findings briefly show that the overall productivity change of ITHs in Taiwan has a growing trend and is driven from a technical change rather than an efficiency change. Moreover, the disaggregate hotel productivity growth comes from the service of hotel facilities, but improving the performance of the catering service is more important to a hotel’s overall performance. Individual ITHs can grasp the contribution of disaggregate hotel productivity growth on the overall productivity change, maintaining or developing competitive advantages in the hotel’s operation and management. Therefore, the viewpoint of this study can not only be used to examine the hotel issues but also be applied to other issues in the hospitality and tourism industry that target overall and disaggregate productivity growth. Full article

This study analyses social media networks in tourism using graphs focusing on user influence, hashtag patterns, and engagement. This study aims to reveal the structural function of core users, development of hashtags, and interaction patterns that construct tourism discourses. Using NodeXL 2024 for social network visualization and clustering analysis, this study measures centrality, modularity, and geodesic distances for influential user detection, topical dissemination, and engagement pattern identification. The results uncover bridging nodes between different communities, the proliferation of thematic hashtags related to sustainability and cultural heritage, and the role of emotional and visual storytelling in the use of engagement patterns. The theoretical implications also progress SNA application in tourism studies by illuminating aspects of how online discourses coalesce and the effect of SNA on access. In practical terms, this study indicates that destination marketers must consider leveraging key influencers, using strategic types of hashtags, and by monitoring engagement at key times to maximize effective destination marketing and to enhance crisis communication. These contributions notwithstanding, limitations involve the omission of sentiment analysis and the necessity for longitudinal data. By exploring new emerging platforms like TikTok and Instagram, researchers can begin to understand the more relevant trends of digital engagement. The present research offers a data-driven approach for facilitating the significance of integrating social media strategies with network externalities for tourism operators. Full article

Cruise ship tourism in port cities, while offering opportunities, has brought its own challenges, including overcrowding, disruption to local community mobility, and growing resident concerns, which recently escalated to anti-tourism activities. This article aims to understand the mobility patterns, transportation preferences, and spatial behaviors of cruise ship passengers within the City of Barcelona (Spain). The study is based on a survey conducted with cruise ship tourists visiting the city (n = 793). The key findings reveal the concentration of tourist activity in the old part of the city, and the similarity in spatial behaviors within the city, while the primary mode of exploration is walking, supported by motorized modes of transfer to access distant attractions. Socio-demographic factors and visit characteristics, such as age, group composition, and expenditure levels, are associated with mobility and spatial behavior. This article adds new evidence on the mobility patterns and spatial behaviors of cruise ship tourists visiting a major tourist city. With better knowledge of where cruise ship passengers concentrate, what activity patterns they show, and their preferred modes of transport, policymakers can manage more effectively the influx during peak times and in high-density areas. Strategies to distribute visitors more evenly across the city could be devised to alleviate pressure on heavily frequented zones. Full article

As museums serve as major tourist destinations, ensuring the sustainable presentation of exhibits addressing social justice issues, such as colonial legacies, is increasingly critical. This study examines how one destination museum engaged with its colonial past through a temporary exhibit designed to challenge traditional narratives and amplify marginalized perspectives. The primary objective is to assess whether such temporary interventions foster lasting engagement with colonial histories or risk becoming fleeting gestures that ultimately reinforce hegemonic narratives. Using Gramsci’s theory of hegemony and the concept of moral licensing as analytical frameworks, this research systematically analyzes the content of both original and supplementary exhibit labels to evaluate their impact on visitor engagement with colonial histories. Specifically, this study addresses two key research questions: (RQ1) What new historical narratives and perspectives on colonialism did visitors encounter through the inclusion of supplementary museum labels addressing colonial legacies? (RQ2) What insights can be drawn from the addition and subsequent removal of these labels to inform future strategies for fostering sustained critical engagement with social justice issues, particularly colonial histories, in museum settings? Findings indicate that the addition of supplementary labels provided tourists with a deeper, more critical understanding of the museum’s colonial history and helped disrupt hegemonic narratives. However, as the exhibit was temporary, the removal of these labels revealed the risks of moral licensing, where short-term efforts may justify a return to dominant perspectives. This research contributes to the literature by demonstrating that to effectively and sustainably engage visitors with social justice issues, destination museums must integrate marginalized narratives into permanent or recurring exhibits. While even modest interventions, such as additional museum labels, can challenge established narratives, sustained efforts are essential to ensure that tourists continue engaging with critical social justice issues. Full article

This study examines the main determinants influencing the commitment of tourism village managers and business stakeholders to implement digital transformation. It will test the impact of perceived benefits, attitudes towards change, consumer behavior change, and the technological context on the intentions and commitments of tourism village managers and enterprises in Bogor Regency, Indonesia. The Causal Step multiple linear regression analysis examined 146 respondents selected through saturated sampling. The findings indicated that attitudes towards change, consumer behavior change, and the technological context significantly influenced the commitment to implement a digital transformation, mediated by the intention to implement digital transformation. The intention to implement digital transformation became a perfect part of the technological context of the commitment to implement digital transformation. It became a partial mediator of the influence of digital attitudes towards change and consumer behavior change on the commitment to implement transformation. Perceived benefits only directly affected the commitment to implement digital transformation. This research has at least two novelties, conceptual and contextual novelties. Conceptual novelty is studied in digital transformation, focusing on tourism villages. The contextual novelty is that the findings offer a more thorough understanding of the conditions and stages of technological transformation embraced by stakeholders and managers of tourism villages. Full article