Editor’s Choice Articles

Although open innovation is not novel within the business sector, it has recently garnered increasing scholarly interest. However, empirical investigations applying this concept to the tourism industry remain scarce. Despite tourism being one of the most significant contributors to the global economy, it continues to face persistent challenges, including political standpoints. Within this context, implementing open innovation emerges as a potentially transformative strategy. This study examines the application of open innovation to the tourism industry. Drawing upon a detailed analysis of 35 peer-reviewed articles retrieved from the Scopus database, the study adopts the PRISMA methodology to ensure methodological rigor and transparency. Articles were retrieved using a predefined search string: “Open innovation” AND “tourism industry” OR “tourism” OR “hospitality” OR “hotels” OR “leisure”. The selection process followed the PRISMA guidelines and included only peer-reviewed journal articles in English within Business and Economics. The findings reveal that open innovation enables stakeholder collaboration, supports service and experience co-creation, and facilitates digital and organizational transformation across diverse tourism contexts. The analysis shows that recent contributions in this field tend to converge around four key thematic areas: the role of open innovation in enhancing destination branding and experiential value; the importance of stakeholder collaboration and co-creation; the internal dynamics of employee empowerment and innovation culture within tourism firms; and the strategic use of digital technologies to drive transformation and resilience in the face of industry challenges. Full article

Tourist behavior is evolving rapidly, and local restaurants must develop strategies to capture the attention of these changing tourists. This study, conducted in Thailand, investigates the relationships between perceived authenticity, consumer self-expansion, tourists’ preference for local restaurants, positive word-of-mouth (WOM), and intention to visit local eateries. It also examines whether self-expansion mediates the relationship between perceived authenticity and restaurant preference. Data were collected from 497 tourists through self-administered questionnaires distributed on-site and analyzed using structural equation modeling (SEM). The results show that perceived authenticity has a significant positive effect on consumer self-expansion (β = 0.902), which, in turn, strongly predicts preference for local restaurants (β = 0.870). Preference also significantly influences both positive WOM (β = 0.976) and visit intention (β = 0.949). Notably, perceived authenticity does not directly affect restaurant preference, indicating a partial mediation effect through self-expansion. These findings highlight the critical role of self-expansion in enhancing the influence of perceived authenticity on tourist behavior, offering practical insights for hospitality marketers aiming to promote local dining experiences. Full article

Work–family conflict (WFC) is a common issue faced by employees balancing work and family roles, but research exploring individual strategies to reduce its negative effects has been limited. Leaders’ positive humor is a mutually (leader–subordinates) amusing communication tool in the workplace. It has been shown to enhance peer relationships (coworker socializing (CWS)) and may serve as an effective coping mechanism that mitigates the adverse effects of workplace stress (work–family conflict). This study strives to examine the relationship between leaders’ positive humor (LPH) and work–family conflict (WFC), with coworker socializing (CWS) mediating this relationship and sensitivity to favorable interpersonal treatment (SFIT) moderating the relationship between leaders’ positive humor and coworker socializing in the tourism and hospitality industry. The research addresses a significant gap in previous studies by investigating these variables together. A total of 387 valid questionnaires were collected from employees of five-star hotels and tourism organizations in Egypt. This study employed PLS-SEM to analyze the data. The results showed that leaders’ positive humor negatively impacts work–family conflict, positively influences coworker socializing and that coworker socializing negatively affects work–family conflict. Additionally, coworker socializing mediated the association between leaders’ positive humor and work–family conflict, and sensitivity to favorable interpersonal treatment moderated the relationship between leaders’ positive humor and coworker socializing. This study provides theoretical and practical insights by validating the proposed model based on the Stimulus–Organism–Response (S-O-R) framework and the Conservation of Resources (COR) theory. Regarding practical implications, the study recommends leadership training on the effective use of humor to foster follower socialization and promote work–family balance. Full article

In today’s hyperconnected world, disaster announcements—regardless of actual impact—can significantly shape consumer behaviour and brand perception in the hospitality sector. This study investigates how customers respond online to disaster-related signals, focusing on digital marketing activities by luxury hotels in Santorini, Greece. Drawing on a case study of the Santorini Earthquake in February 2025—during which the Greek government declared a state of emergency—we use big data analytics, including web traffic metrics, social media interaction and fuzzy cognitive mapping, to analyse behavioural shifts across platforms. The findings indicate that disaster signals trigger increased engagement, altered sentiment and changes in advertising efficiency. This study provides actionable recommendations for tourism destinations and hospitality brands on how to adapt digital strategies during crisis periods. Full article

Cultural heritage plays a critical role in sustaining community identity, particularly in the face of global economic and cultural shifts. This study explores models of heritage management, focusing on community-based tourism (CBT) as a vehicle for sustainable development. Using qualitative interviews with Lithuanian community representatives and a comparative analysis of global frameworks such as the AHC, ANZECC, and EU models, the paper highlights the importance of community engagement, grassroots initiatives, and collaborative governance. Findings reveal that while community-driven efforts can preserve cultural heritage and stimulate local economies, challenges such as limited funding, regulatory barriers, and stakeholder conflicts persist. Recommendations include formalizing organizational structures, leveraging international best practices, and fostering stronger community–government partnerships to balance cultural preservation and economic benefits. Full article

Rural tourism is growing as travelers seek authentic experiences with local traditions, culture, and heritage. This form of tourism plays a key role in the sustainable development of rural areas by effectively utilizing rural resources. To ensure its continued success, best practices must be adopted to enhance the visitor experience while ensuring long-term viability. Research on rural tourism in the villages of Sremski Karlovci, Irig, and Vrdnik in Fruška Gora (Serbia) and Pienza, Montalcino, and San Gimignano in Tuscany (Italy), involving 357 tourists, identified four key factors influencing their experiences: ‘Organic Heritage’, ‘Authentic Comfort’, ‘Authentic Flavors’, and ‘Warm Farmstead’. These factors show that the motivations driving tourists to rural destinations and village accommodations are universal. However, Tuscan villages attract more tourists due to their superior infrastructure, diversified offerings, and strong international promotion, attracting wealthier tourists who tend to stay longer and spend more. Stakeholder research (58 participants) confirmed that Fruška Gora must improve infrastructure, diversify experiences, and strengthen promotional efforts to enhance sustainability and competitiveness. These changes are essential for the long-term success of rural tourism businesses in the future. Full article

The growing importance of customer experience management (CEM) in the tourism sector has led to a proliferation of research interests in satisfaction enhancement, loyalty, and value co-creation. This study proposes a systematic and exhaustive thematic and bibliometric analysis of 3874 articles on CEM in the tourism industry published in the Scopus database between 1979 and 2024. Following the guidelines of the PRISMA protocol, the study uses Bibliometrix (version 4.4.1) in R and VOSviewer (version 1.6.20) to map publication trends, author networks, thematic and chronological evolution, and influential contributions. A qualitative content analysis of the most cited works, guided by grounded theory, revealed the main antecedents, consequences, mediators, and moderators of customer experience management. This analysis is embodied in the proposal of a conceptual model that illustrates the dynamic relationship between these elements and provides the basis for future research for theoretical enrichment and empirical validation. The results offer actionable insights for academics and industry practitioners alike, with the aim of promoting authentic and memorable tourism experiences. Full article

We propose Phase-Adaptive Federated Learning (PAFL), a novel framework for privacy-preserving personalized travel itinerary generation that dynamically balances privacy and utility through a phase-dependent aggregation mechanism inspired by phase-change materials. (1) PAFL’s primary objective is to dynamically optimize the privacy–utility trade-off in federated travel recommendation systems through phase-adaptive anonymization. The phase parameter φ ∈ [0, 1] operates as a tunable control variable that continuously adjusts the latent space geometry between differentially private (φ→1) and utility-optimized (φ→0) representations via a thermodynamic-inspired transformation. Conventional federated learning approaches often rely on static privacy-preserving techniques, which either degrade recommendation quality or inadequately protect sensitive user data; PAFL addresses this limitation through three key innovations: a latent-space phase transformer, a differential privacy-gradient inverter with mathematically provable reconstruction bounds (εt ≤ 1.0), and a lightweight sequential transformer. (2) PAFL’s core innovation lies in its phase-adaptive mechanism that dynamically balances privacy preservation through differential privacy and utility maintenance via gradient inversion, governed by the tunable phase parameter φ. Experimental results demonstrate statistically significant improvements, with 18.7% higher HR@10 (p < 0.01) and 62% lower membership inference risk compared to state-of-the-art methods, while maintaining εtotal < 2.3 over 100 training rounds. The framework advances federated learning for sensitive recommendation tasks by establishing a new paradigm for adaptive privacy–utility optimization. Full article

The north of Portugal and Porto, a city recognised as a World Heritage Site, stand out for their rich historical trajectory, fostering a continuous increase in tourists over the past decade. This distinction has played a crucial role in acknowledging cultural and landscape heritage while promoting a heightened flow of visitors to the region. Portuguese gastronomy is a key factor in the growth of this tourism industry. It is a living tradition passed down through generations, deeply rooted in regional history and practices, where the residents play a vital role as custodians of these customs and traditions. The primary aim of this article is to analyse residents’ perceptions from the North of Portugal regarding the recognition of gastronomy as a cultural heritage and its role as a tool for tourism development. To achieve this aim, structured questionnaires were distributed to residents using an approach in popular urban tourism areas of Porto between May and October 2022, resulting in 262 valid responses. The findings reveal that participants consider it essential to preserve traditional dishes and ensure their transmission across generations. Regarding tourism, most respondents concur that it positively contributes to the preservation of traditional gastronomy, valuing it as an integral part of cultural heritage. Full article

Gastronomic event tourism is an emerging phenomenon that attracts an increasing number of tourists seeking a memorable gastronomic experience based on its cultural uniqueness, highlighting the need to understand the behavior of this tourism demand. This study proposes a model to determine the importance of food tourism events in developing the cultural identity of tourist destinations by analyzing the tourist experience concerning their motivation, satisfaction, and loyalty, understood as variables of sustainable tourism behavior. The hypotheses in the model have been tested using non-linear structural equations modeling (SEM), estimated with data from the Resident Tourism Survey of the National Statistics Institute (NSI), on domestic demand for value-added gastronomic tourism in Spain. The data analyzed covers the period from January 2019 to December 2022 (n = 3483). The results show a significant relationship between the variables influencing overall tourist satisfaction with gastronomic events and tourist loyalty. This research provides knowledge on the behavior of gastronomically motivated tourists with practical implications for destinations, aimed at improving decision-making in the definition of tourism strategies, focusing on the preservation and enhancement of their gastronomic offer as a cultural identity through the offer of food events. Full article

Economic transformations in emerging countries have resulted in an increase in the volume of international travellers from diverse geographical regions. In the tourism sector, service providers must possess cultural competencies that foster a flexible and appropriate attitude, which in turn affects the perception of service. The present study aims to shed light on the motivational factors and cultural behaviours that influence intercultural empathy among staff working in the tourism sector in Quintana Roo. To this end, a comprehensive literature review has been conducted, during which the variables have been validated, and a quantitative study has been undertaken, employing multivariate analysis through a Multiple Correspondence Analysis and inferential statistics with an Ordinal Logistic Regression. The findings of this study demonstrate a positive correlation between motivation and cultural behaviour, which is contingent on experience and age, and its impact on empathy in understanding and meeting the diverse needs of tourists. Cultural motivation is defined as the interest in learning and interacting in multicultural situations, and its impact on behaviour is reflected in appropriate personal management for effective cultural interactions. The probabilities estimated by ordinal logistic regression models of consistently or predominantly exhibiting intercultural empathy increase with age and experience for the most significant variables obtained by the Multiple Correspondence Analysis. Full article

In an era of increasing global uncertainty, tourism destinations face significant challenges due to political instability and social unrest, which shape travelers’ perceptions and decision making. This study examines the relationship between perceived risk, resilience, and destination choice, focusing on the extent to which political and social conditions influence travel intentions. Using the social amplification of risk framework (SARF) and a quantitative survey, this research identifies key determinants of tourism resilience and risk perception management. Our findings indicate that political instability, safety concerns, and negative media coverage deter travelers, while effective crisis communication, strong governance, and high-quality public services can enhance a destination’s appeal. Based on these findings, the study recommends that destination marketers and tourism policymakers invest in targeted safety communication, service quality improvements, and strategies that address the specific concerns of more risk-sensitive demographics, such as women. The study offers strategic insights for destination marketers, tourism policymakers, and hospitality stakeholders on how to mitigate perceived risks and foster resilience in tourism-dependent economies. Future research could explore cross-cultural traveler behavior and incorporate perspectives from tourism professionals to further inform resilience strategies. By addressing these challenges, destinations can develop sustainable strategies to navigate crises and maintain competitiveness in an unpredictable global landscape. Full article

This study investigates the relationship between demographic factors and travel motivations among Generation Z leisure tourists through the lens of the Travel Career Pattern (TCP) theory. More specifically, the research focuses on how gender, age, and area of residence influence the travel motivations of Generation Z. Using a quantitative approach, data were collected from 303 respondents aged 18 to 28 through an online survey. The questionnaire assessed 14 motivational factors and analyzed them in relation to the participants’ demographic characteristics using linear regression models. Results indicate that gender and age significantly influence travel motivations, with women showing higher interest in personal development and social relationships, while men prioritize nature and adventure. Furthermore, rural residents exhibit greater motivation for autonomy, self-development and self-realization, while urban residents lean towards novelty and social interactions. The findings offer valuable insights for tourism marketers, emphasizing the importance of creating segmented marketing campaigns based on demographic factors. It also contributed to overcoming the lack of studies that specifically cover this interrelation between the motivational factors of Generation Z and the demographic factors of age, gender and area of residence. Nevertheless, this study also has limitations, such as the use of a non-representative sample and the focus on quantitative methods, suggesting that future research should adopt qualitative approaches and examine additional demographic variables to gain deeper insights into youth travel motivations. Full article

This study introduces a novel Recency, Monetary, and Duration (RMD) model for customer classification in the hospitality industry. Using a hybrid approach that integrates data mining with multi-criteria decision-making techniques, this study aims to identify valuable customer segments and optimize marketing strategies. This research applies the K-means clustering algorithm to classify customers from a hotel in Iran based on RMD attributes. Cluster validation is performed using three internal indices, and hidden patterns are extracted through association rule mining. Customer segments are prioritized using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method and Customer Lifetime Value (CLV) analysis. The outcomes revealed six distinct customer clusters, identified as new customers; loyal customers; collective buying customers; potential customers; business customers, and lost customers. This study helps hotels to be aware of different types of customers with particular spending patterns, enabling hotels to tailor services and improve customer retention. It also provides managers with appropriate tools to allocate resources efficiently. This study extends the traditional Recency, Frequency, and Monetary (RFM) model by incorporating duration, an overlooked dimension of customer engagement. It is the first attempt to integrate data mining and multi-criteria decision-making for customer segmentation in Iran’s hospitality 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

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

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 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

This paper aims to analyze the influence of digital marketing in Kosovo’s tourism industry from three key perspectives: consumers, businesses, and industry experts (IEs). The research explores how digital marketing influences the identification of tourist destinations, the promotion of tourism businesses, and sustainable tourism development. The study used semi-structured interviews to collect primary data from twenty-five participants, selected through non-probability and purposive heterogeneous sampling techniques. The data were analyzed qualitatively using a thematic analysis approach, encompassing a multi-step coding process involving data categorization, reduction, and display techniques. The findings reveal that digital marketing significantly impacts Kosovo’s tourism industry. A qualitative analysis of the interviews confirms that digital media is crucial for consumers in identifying tourist destinations. Tourism businesses utilize digital marketing channels to advertise destinations, while IEs recognize digital marketing’s pivotal role in fostering tourism sustainable growth. This study sheds light on how digital marketing not only supports the promotion and identification of tourist destinations but also contributes to long-term tourism development. The study offers practical implications, providing valuable insights for tourists seeking destination information, for businesses in enhancing digital engagement with tourists, and for policymakers aiming to develop targeted, sustainable tourism strategies that leverage digital marketing trends. Full article

Guided by the situational crisis communication theory (SCCT), this study explores how a destination marketing organization (DMO) managed crisis communication during a prolonged low-responsibility crisis. It analyzes the production process of crisis communication, the crisis communication content shared on Facebook to protect the destination’s image during COVID-19, and evaluates which crisis response strategies led to higher audience engagement. This study used a single instrumental case study with an exploratory sequential approach. A semi-structured interview was conducted with Visit Portugal’s Communication and Digital Marketing Director. Then, Facebook content from Visit Portugal, posted between 1 January 2020 and 5 May 2023, was collected and analyzed. By analyzing the DMO’s crisis communication workflow, decision-making processes, and content shared on social media, it was found that secondary response strategies effectively safeguarded and improved the destination’s image, leading to higher audience engagement. This study provides DMOs with valuable insights into the development of effective crisis communication strategies when navigating low-responsibility crises. Full article

This study investigates the attitudes of local communities in Western Serbia toward tourism development, with a focus on the potential for implementing community-based tourism (CBT) as a sustainable model. CBT emphasizes local community involvement in tourism planning and benefits, fostering inclusivity and enhancing socio-economic well-being. By surveying 845 residents in Western Serbia, this research examines their perceptions of tourism’s social, environmental, and economic impacts, as well as their level of support for tourism growth and their sense of attachment to the community. Using statistical methods such as correlation, regression, and descriptive analysis with SPSS 23, this study identifies positive correlations between residents’ attitudes, support for tourism, and attachment to their communities. The findings reveal that local residents generally view tourism growth favorably, with a strong preference for economic benefits over social and environmental ones. Furthermore, community attachment plays a significant role in motivating residents to support future tourism initiatives. These insights suggest that aligning tourism development strategies with the residents’ priorities, particularly economic benefits and community attachment, is essential for promoting sustainable and harmonious tourism growth in Western Serbia. The research highlights the potential of CBT in fostering long-term socio-economic benefits for local communities while minimizing adverse impacts. Full article

Emotional contagion is a common phenomenon among hotel employees, creating an environment of shared emotions that can influence work-related outcomes such as job performance, job satisfaction, and psychological well-being. However, strategies to mitigate or regulate its effects in hotels remain underexplored. This quantitative study used the PLS-SEM data analysis approach to examine the influence of emotional contagion on these outcomes and explores how psychological resilience and leader–member exchange (LMX) can moderate its impact. Specifically, this study examines (1) the direct influence of emotional contagion on job satisfaction, job performance, and psychological well-being; (2) the mediating role of psychological well-being in the links between emotional contagion and both job performance and job satisfaction; and (3) the moderating roles of LMX and psychological resilience on the relationships between emotional contagion, psychological well-being, job satisfaction, and job performance. Drawing upon social and emotional resource theories, this study employs a quantitative approach and uses a structured questionnaire survey administered among frontline employees in hotels in Egypt. Based on the valid responses of 792 participants, the study employed the PLS-SEM data analysis method using Smart PLS 4.0. The findings reveal that emotional contagion significantly directly impacts workplace outcomes and through psychological well-being. Furthermore, high-quality LMX and greater psychological resilience buffer the negative effects of emotional contagion, underscoring their critical roles in the workplace. The study contributes to the organizational behavior literature by highlighting the interplay between emotional and psychological factors in shaping employee performance and satisfaction. Full article

This study explores the influence of social media on tourists’ decision-making processes, focusing on Cape Verde as an emerging tourist destination. The aim is to understand how social media platforms shape tourists’ perceptions and choices and how demographic factors like age and education affect the selection of information sources. A survey was conducted with 259 individuals intending to visit Cape Verde, employing a non-probability convenience sampling method. Data were analysed using chi-square tests to examine associations between age groups, education levels, and the use of social media and information sources. The results reveal significant associations between age and social media platform preference, with older tourists (44–79 years) favouring Facebook and younger tourists (18–29 years) preferring Instagram and TikTok. Additionally, education level influences the choice of information sources; higher-educated individuals are more likely to use social media and conduct independent research, while those with lower education levels tend to rely more on travel agencies and tourism fairs. These findings highlight the importance of tailored marketing strategies that account for demographic differences, offering practical insights for destination marketing organizations (DMOs) to better engage with diverse tourist segments. Full article

The research of revenue management (RM) practices is widespread in the accommodation sector, but not in the restaurant industry. This study aims to ascertain which RM practices are the most used in the restaurant industry, organizing them by clusters, identifying those that imply profit maximization and describing the challenges of their implementation. Mixed methods were used as the methodology through a systematic literature review, which was submitted to a brief descriptive analysis and content analysis. Data were retrieved from the Scopus database, and, using the PRISMA diagram, 70 papers were collected for comprehensive analysis of their content. The results of the studies identified five main areas of RM and 21 practices, some specific to the restaurant industry, with reservations and meal duration management being the most used practices. Reservations have been implemented in many restaurants but are not a reality for all of them. A well-managed meal duration increases restaurant capacity. Furthermore, customer satisfaction implies the success of all other practices since customers must understand and accept the RM practices for their success. As a theoretical implication, this study contributes to the development of research into the RM practices of restaurants, and as practical implications, restaurant managers should implement the following practices: meal duration management, indicators, and table mix. This study contributes to future research, such as analyzing the relationship between sustainability and RM, applying RM to the beverages department, and including RM in consumer behavior in the context of future crises. Full article

AI-controlled chatbots have been used in travel services for some time and range from simple hotel reservations to personalized travel recommendations. However, the acceptance of chatbots compared to human interlocutors has not yet been extensively studied experimentally in the tourism context. In this experimental, randomized, vignette-based, preregistered 2 (agent: AI chatbot/human counterpart) × 3 (situation: positive/neutral/negative) between-subjects design, we hypothesized that booking intention is reduced in chatbots compared to human agents and in situations where the booking can only be made under more negative than the original conditions. Additionally, we hypothesized an interaction effect between agent and situation, presuming that the decrease in booking intention in negative situations would be less strong for human agents than for chatbots. Structural equation modelling of the data indicates strong support for the Technology Acceptance Model in the booking context. As presumed, the booking intention was lower in the negative situation and borderline lower for the chatbot. The interaction effect was shown descriptively in the data. Chatbots are recognized during the booking process and less accepted to support bookings than their human counterparts. Therefore, managers should design chatbots as human-like as possible to avoid losing sales when outsourcing customer contact activities to AI technologies. Full article

Artificial intelligence (AI) stands out as a transformative force in various sectors, offering both new opportunities and challenges. In tourism and music events, AI has proven to be a powerful tool for improving the attendee experience, personalizing artist recommendations, optimizing event logistics in real time, and enhancing audience interaction through virtual assistants and immersive visual effects, thus highlighting its transformative potential. This study aims to analyze the impact of applying AI to the experience of consumers at music festivals. In particular, the research examines the impact of AI on the quality of information delivered, the extent of consumer engagement with brands at the event, and the level of trust in the technology. A quantitative methodology was used, collecting 400 responses from Portuguese consumers who attended music festivals. The results show that the quality of information and the AI positively influence customer engagement with the brand. Greater customer engagement, in turn, increases the willingness to use AI solutions. Trust in AI is significantly shaped by the quality of the information and the reliability of the system, which further promotes electronic word-of-mouth (eWOM) and the willingness to adopt AI. In addition, eWOM plays a key role in encouraging the use of AI technologies. Finally, memorable tourist experiences positively influence the willingness to adopt AI, underlining the importance of experiential factors in promoting adoption. These results highlight the interconnected roles of information quality, trust, involvement, and user experiences in shaping attitudes toward artificial intelligence applications. This study expands the literature by analyzing how AI-driven information quality influences consumer trust and engagement, thus emphasizing the need to optimize these factors for better festival strategies. It highlights the link between trust and positive eWOM, showing that trust based on high-quality information enhances the festival’s reputation and attracts participants. A key contribution is its exploration of how trust and eWOM influence AI adoption at future festivals, which offers insights to boost credibility and acceptance. Lastly, it provides strategic guidelines that improve attendee experience and festival management. Full article

This study explores visitor perceptions and behaviors regarding sustainable tourism in Brighton, focusing on the economic, environmental, and social dimensions of sustainability across key tourism sectors, including Destination Management Organizations (DMOs), Tour Operators (TOs) and Travel Agencies (TAs), and accommodation and transportation sectors. Using the Statistical Framework for Measuring the Sustainability of Tourism this study identifies critical areas for improvement and proposes a comprehensive model to enhance the sustainability and resilience of the city’s tourism supply chain. The findings reveal that certain stakeholders in the tourism supply chain are highly regarded for their community engagement and sustainability efforts, while others are seen as needing more focus on social responsibility and community engagement. Some areas show significant gaps in environmental sustainability, while others excel in economic performance but lack integration of environmental and social considerations. The final model integrates targeted approaches to address sustainability gaps across Statistical Framework for Measuring Sustainability of Tourism (SF-MST) scales. It emphasizes the need for community-focused initiatives and effective visitor management to enhance social and environmental sustainability. Economic aspects are addressed through partnerships aimed at promoting sustainable transport and implementing green certification practices. Additionally, the model highlights the importance of inclusive economic programs and transparency to strengthen the social and economic dimensions of sustainability. The integrated model advocates for a holistic, optimized tourism supply chain management approach, ensuring sustainable practices across all sectors. This research contributes actionable insights for policy and destination management, promoting a balanced approach to economic growth, environmental preservation, and community well-being in Brighton’s tourism landscape Full article

Community-based tourism (CBT) is an innovative and participatory approach that places local communities at the center of tourism development. This model aligns with the United Nations Sustainable Development Goals (SDGs), particularly SDG 1 (No Poverty) and SDG 8 (Decent Work and Economic Growth). Through a synthesis of global case studies from regions such as Nepal, Kenya, Costa Rica, South Korea, and Zimbabwe, this paper examines the transformative potential of CBT in fostering inclusive economic growth, empowering marginalized communities, and promoting cultural and environmental sustainability. Content and comparative analyses reveal how CBT generates sustainable livelihoods, preserves cultural heritage, and addresses governance and dependency challenges. The study highlights interlinkages between SDGs 1 and 8 and provides actionable strategies for stakeholders, including policymakers, residents, tourists, and academics. Recommendations for addressing implementation barriers and future research directions underscore the need for innovative solutions, technological integration, and long-term community resilience planning. This paper affirms CBT’s role as a global model for sustainable tourism and equitable development. Full article

The present study aims to examine the effects of physically and psychologically supportive work environments on innovative work behavior and the effects of innovative work behavior on job performance. This study surveyed 275 hotel employees in Thailand, and a rigorous methodology involving path analysis was employed to scrutinize the proposed hypotheses. The study’s findings illuminate the substantial revelation that supportive work environments and innovative work behavior positively and directly impact the cultivation of job performance. Moreover, physically and psychologically supportive work environments positively and indirectly impact the cultivation of job performance. Additionally, this study thoroughly analyzes the implications for management practices, emphasizing the crucial significance of innovative work behavior in shaping job performance outcomes. Furthermore, it provides actionable recommendations for improving physically supportive work environments, empowering psychologically supportive work environments, and creating healthy, innovative work behavior to support cultivating job performance in Thailand’s hospitality industry. Full article

Traveling to locations featured in anime has become a significant tourism behavior as the number and popularity of Japanese anime works have increased. The widespread phenomenon of anime-induced tourism has called for destination marketing that welcomes anime fans. This study focuses on the dyadic relationship between destination marketers and anime production teams, who hold definitive discretion over copyrights in anime-induced tourism. Using the concept of joint dependence derived from the theoretical assumptions of resource dependency theory, this research investigates how organizations with imbalanced power relations choose to collaborate. By comparing three qualitative cases that distinctly demonstrate temporal structural changes in anime tourism, this study reveals that joint dependence facilitates interorganizational cooperation through domain consensus between destination marketers and anime production teams. The current study makes a significant theoretical contribution to the fields of interorganizational relations, destination marketing studies, and anime-induced tourism research. Additionally, it provides highly practical insights into tourism development strategies for destination marketers and anime production companies. Full article

Skills are one of the main themes in academic and labor environments. Nowadays, digital, green, and social and cultural skills are the key to achieving sustainable practices and sustainable development goals. Therefore, this study aims to characterize the current and future needs of digital, green, and social and cultural skills for the tourism and hospitality sectors. This was a quantitative study, with an online survey applied to students, teachers, and professionals. It was a convenience sample with 150 participants. Data were analyzed statistically with IBM SPSS version 28.0. Our results suggested that students, professionals, and trainers value digital, green, and social and cultural skills. With reference to digital skills, all participants considered themselves having an intermediate or advanced level of proficiency. All the participants considered themselves having an intermediate or advanced level of green skills. Regarding social and cultural skills, all the participants considered themselves having an advanced level of proficiency. Therefore, professionals reported higher levels of proficiency in all skills. In the same way, in the tourism sector, we observed higher proficiency levels of skills. To summarize, educational, sectorial, and entrepreneurial sectors recognize the relevance of digital, green, and social-cultural skills for the tourism and hospitality industry. With these skills, the sector will be more prepared to implement sustainability practices and achieve sustainability goals. Additionally, entrepreneurs should value these skills in professionals, and education institutions should integrate the development of these skills into their curricula. Full article

This study proposes the Tourism Adaptable Digital Marketing Framework (TADMF), a flexible, cyclical model tailored to optimize digital marketing strategies for hotels and destinations. By leveraging data-driven insights and neuromarketing principles, the framework addresses critical gaps in traditional linear models to maximize bookings for hotels and enhance awareness of destinations. The three-stage cyclical process, attraction, engagement, and conversion, ensures continuous feedback and refinement across the customer journey. Hotels benefit from tailored techniques, such as dynamic pricing and personalized recommendations, while destinations focus on storytelling and user-generated content to forge emotional connections. Compared to traditional marketing models, this framework uniquely integrates online and offline interactions to create cohesive customer experiences. Key findings reveal that the TADMF fosters a dynamic interplay between theoretical innovation and practical applicability, demonstrating scalability and adaptability to diverse tourism contexts. The study concludes that the TADMF offers a robust foundation for addressing the evolving challenges of digital marketing in tourism, paving the way for future research into advanced technologies such as AR, VR, and AI. Full article

This paper estimates the contribution of the hotel sector to the main macroeconomic figures of the Greek economy. For this purpose, we use a combination of input-output models as well as survey-based data. The analysis of the intersectoral relationships in the Greek economy indicates that the hotel sector constitutes a key sector of the economy. The total (direct and indirect) contribution of the hotel sector to the gross domestic product of the economy is estimated at 4.8% for the year 2023, whilst its total contribution to employment is estimated at 6.6%. Moreover, from the sectoral decomposition of the cost of the hotel product, it is found that almost 20% of the price of the final hotel product is composed of taxes, a percentage that is almost twice that of the other sectors of the economy. Finally, the evaluation of the results of the current study offers useful insights for policymakers. Full article

Gastronomic tourism has become a dynamic segment within the tourism sector, serving as a vital tool for the economic, cultural, and environmental growth of regions that emphasize culinary experiences. This study examines the motivations of young food-motivated tourists (“foodies”) and their impact on travel choices and destination development. Using a quantitative methodology, data were collected from 170 respondents (131 valid answers) in Portugal. The data were collected through the PTFoodies survey, a tool specifically designed by the authors to analyze tourist motivations and their connections to destination attributes. Principal Component Analysis (PCA) identified five key factors—endogenous products, local gastronomy, quality and innovation, authenticity and tradition, and diversity—revealing a balance between sustainability, local authenticity, and openness to innovation in tourist preferences. Additionally, correlation analysis highlighted significant relationships between motivations, such as the strong association between an interest in culinary routes and event participation and between local product appreciation and the preference for organic food. These findings contribute to both theory and practice by refining motivational theories specific to gastronomic tourism, offering insights into destination development strategies and emphasizing sustainable practices that resonate with tourists’ preferences. The study provides destination managers with actionable strategies to attract food-motivated tourists and foster sustainable community growth through gastronomic tourism. Full article

The study focuses on the challenges that the gig-economy brings to the labour market. Digitalisation is transforming the nature of labour relations, and the ratio of the employed to the self-employed is changing. By expanding the scope of digital technology and the use of digital platforms, changes are affecting all areas, including the tourism industry. The article assesses the relationship between tourism development, digitalisation, and self-employment indicators. The study covers 112 countries for 2021. The paper uses the Travel & Tourism Development Index, Network Readiness Index and the World Bank’s self-employment indicator. The analysis showed that the features of the relationship between tourism development, digitalisation and self-employment vary across the three groups of countries identified as a result of cluster analysis. The study found that there is a positive relationship between the level of tourism sector development and the level of the country’s digitalisation. The relationship between the level of self-employment and tourism development is variable across groups. The relationship between self-employment and digitalisation was confirmed only for the sample as a whole. Full article

The Majapahit House heritage area in Trowulan, Indonesia, represents a significant initiative where local communities, government agencies, and cultural organizations collaborate to preserve traditional architecture while developing cultural tourism. This study examines how these stakeholders interact in implementing heritage tourism governance, focusing on the challenges of coordinating preservation efforts with development objectives. Through semi-structured interviews with key stakeholders and field observations, we analyze how different actors influence program implementation and outcomes. Our analysis employs interest–influence matrices to identify how stakeholders’ varying capabilities affect program success, while actor linkage analysis reveals specific patterns of collaboration and conflict in governance processes. Findings demonstrate how implementation success varies across villages based on local leadership effectiveness, resource coordination, and community engagement levels. This study reveals that successful heritage tourism development requires balancing provincial directives with community initiatives, particularly in aligning preservation requirements with local development needs. This research advances understanding of stakeholder dynamics in heritage tourism by providing a framework for analyzing collaborative governance in cultural contexts while offering practical insights for improving stakeholder coordination. Recommendations focus on strengthening institutional frameworks and enhancing coordination mechanisms between government agencies and community organizations. Full article

Italy’s rural areas provide significant tourism opportunities which support local economies and sustainable development. This study examines the impact of socio-economic, technological, natural–ecological, and political–legal factors on rural tourism across Italy’s 21 regions. Using statistical data and correlation analysis, five macro factors were evaluated to determine their influence on the prevalence of agritourism as a measure of rural tourism development. The methodology involved a correlation analysis, including the assessment of bivariate relationships between variables, supported by robust statistical tests to ensure reliability. Key findings indicate that technological advancements, particularly in farm digitalization and innovation, are closely associated with rural tourism growth, alongside factors like regional GDP and natural–ecological resources. The study reveals that higher levels of farmer education and rich ecological and cultural assets within regions also positively impact rural tourism. These insights provide valuable guidance for policymakers and stakeholders in formulating strategies that promote rural tourism and regional development, emphasizing digitalization, ecological preservation, and education. This research extends our understanding of the factors driving rural tourism in Italy, offering a basis for targeted interventions that enhance economic resilience and support sustainable tourism in rural areas. Full article

Fair Tourism (FT) is an emerging form of tourism in Korea. It serves as a response to the unethical and unsustainable practices of Korean tour operators by incorporating various sustainable tourism practices. Sustainable supply chain management is a vital element in the operationalization of FT, and yet, despite the increasing significance of FT, there is a dearth of research on the phenomenon. This research aims to bridge this gap by examining how practitioners define and implement FT. The current analysis is based on semi-structured interviews with 15 CEOs of FT companies. Through thematic analysis of the interviews, valuable insights into the establishment and execution of FT are uncovered. Tourism operations like FT promote positive outcomes in destination communities. The study defines FT as tourism where travelers contribute to the local economy while also promoting environmental and social sustainability. The study also examines the sustainable supply chain management operations of FT practitioners, using the Supply Chain Operations Reference (SCOR) model as a framework. It is evident that FT practitioners recognize the significance of sustainable supply chain management and strive to foster a culture of mutually respectful relationships, setting them apart from traditional sustainable tourism practices. Furthermore, this article highlights how FT practitioners incorporate sustainable tourism and sustainable supply chain management (SSCM) in their programs. They achieve this by collaborating with local partners, utilizing local resources, and actively engaging with their partners within the destinations in which they operate. Full article

This study investigates the critical factors shaping customer experiences in night markets, emphasizing product preferences, quality of services provided, and accessibility of facilities. As integral hubs of cultural exchange, community engagement, and tourism, night markets contribute significantly to local economies and cultural heritage preservation. However, research on customer experience in these dynamic environments remains limited. Using a structured questionnaire, data were collected from 201 night market visitors through a purposive sampling. The study utilized structural equation modeling (SEM) to assess the interconnections between the primary variables. The findings reveal that product preference has a substantial positive impact on customer experience (β = 0.465, p < 0.001) along with service quality (β = 0.209, p < 0.01) and facility accessibility (β = 0.585, p < 0.001). Both service quality and facilities play pivotal roles in shaping customer satisfaction and experiences, either directly or indirectly. The results underscore the importance of tailored product offerings, consistent service quality, and well-maintained facilities for fostering satisfaction and loyalty. This study provides practical insights for vendors by emphasizing the value of understanding customer preferences, ensuring operational efficiency, and enhancing facility provisions. These findings contribute to theoretical frameworks on customer experience, enrich the knowledge base for night market operations, and offer actionable strategies for sustainable market development and customer engagement. Full article

This study examines how tourists perceive food quality in Berlin using AI-driven sentiment analysis tools. The goal is to understand the factors shaping tourists’ perceptions and provide insights to improve the hospitality industry and customer satisfaction. By analyzing reviews from online platforms, this research identifies key themes and trends in tourists’ feedback. The use of AI, specifically for sentiment analysis, supports efficient and detailed evaluation of customer opinions. This study employed lexicon-based sentiment analysis to evaluate tourists’ feedback on online platforms and compared the sentiment scores of textual feedback with their direct rating scores. The results show that integrating sentiment scores derived from AI tools with tourists’ rating scores provides deeper insights into service quality within the tourism sector. Full article

Creativity is becoming more relevant to increasing destinations’ distinctiveness. While anecdotal evidence suggests that travel to experience any aspect of the agrifood process encompasses key indicators of Creative Tourism (CT), the alignment of agrifood experiences with CT remains unexplored, limiting destinations’ potential to leverage the growing demand for both creative and agrifood experiences. Thus, we assessed the importance of CT indicators across three types of agrifood experiences (agritourism, craft beverages, food) in contrast with beach-going (control) while traveling using hypothetical scenarios. We collected data in 2023 from a non-random panel of 1019 residents across the USA (250 pre-established quotes per travel scenario) using an electronic survey. Results showed that those in the agrifood travel scenarios, notably in agritourism, perceived higher levels of creativity as compared to those in the control group across all creative domains, which supports CT as a suitable scholarly framework to position agrifood travel experiences. Results also indicate that destinations having strong agrifood experiences—and notably agritourism—should build upon their shared creative elements, mainly gravitating around experiencing local livelihoods, to increase their competitiveness. This study’s results can inform destinations seeking to strengthen their distinctiveness by catering to the increasing number of tourists seeking creative food, agricultural, and beverage experiences. Full article

Tourists consistently demonstrate the need to touch wildlife, although policies often deny these experiences because of the psychological and physiological impacts on animals. However, philosophers contend that humans can learn to empathize with animals by feeling their way into the plight of animals through touch. Facing this dilemma, the paper asks if human touch can be ethically experienced in tourist interactions with animals by employing animal health warning labels. Using the case of “holding a panda” at the Chengdu Research Base of Giant Panda Breeding, Sichuan, China, the study investigates this dilemma through Johann Gottfried Herder’s philosophy on empathy and touch against the no-touch policies. A survey containing four scenarios shows that the use of payment can serve as a more effective tool than ethical appeal in reducing people’s decision to hold a panda through its inclusion of additional factors in the decision process. However, ethical touch building on animal health warning labels demands spaces for mutual respect, conservation awareness, and the recognition of health risks through a direct confrontation of the established emotional and sensual aesthetic appeal of cuteness between visitors and the panda. It is found that a combined use of payment and ethical appeal is necessary to restructure visitors’ willingness to hold a panda. Full article

This study aims to find a correlation between tourist motivation and satisfaction to provide several recommendations for developing tourist facilities according to tourist needs. Data mining was conducted in-depth through a phenomenological approach and inductive data analysis. Semi-structured and in-depth interviews are aimed at gathering information related to the motivation for traveling, perceptions and assessments of tourist attractions, activities, tourist expectations, and the attractiveness of cultural tourist attractions. This study found a linear correlation between cultural tourism motivation, tourism assessment, intensity of cultural tourism activities, acquisition of cultural tourism experiences, and tourist satisfaction. Tourism motivation also creates tolerance, fosters understanding and respect between cultures, and lowers expectations of tourism conditions so that tourists quickly get satisfaction. High tourist satisfaction creates a positive image of tourism, which may create loyalty. Tourist satisfaction can build a relative attitude related to repeat purchases, which in the context of tourism is the intention to revisit or recommend a tourist attraction to others. This study shows a tendency for tourist activity patterns based on cultural motivation in tourism practice. Tourism activity patterns, tolerance, and tourist satisfaction information can be essential in cultural tourism development programs. Full article

This study investigates the impact of tourism development on the well-being of impoverished residents in the urban area of La Candelaria, Bogotá, and the rural area of La Macarena, Meta. The participants were recruited using Colombia’s SISBÉN classification system by approaching individuals in public spaces such as bakeries, markets, and restaurants. After confirming their residency, only those classified in categories A (extreme poverty), B (moderate poverty), or C (vulnerable population) were included in the study. Data collection took place in May 2017, resulting in 307 surveys from the participants across both locations. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the findings reveal that economic benefits are the most influential factor, significantly enhancing happiness and life satisfaction. While cultural and environmental benefits are acknowledged, they are less directly linked to personal well-being. The study highlights tourism’s complex role in promoting economic growth and shaping the social, cultural, and environmental aspects of community life. However, it also identifies potential risks, such as environmental degradation and social disruption, particularly in different spatial contexts. The research underscores the need for tourism development to provide tangible, personal benefits that align with residents’ economic and emotional priorities, ensuring sustainable and equitable outcomes, especially considering the spatial disparities between urban and rural areas that influence tourism’s effectiveness in improving well-being and alleviating poverty. Full article

Tourism development has a significant contribution to the sustainable development of countries and regions through job creation, infrastructure development, cultural preservation, community empowerment, and revenue increase. Within this context, digitalization in the different facets of the tourism marketspace is a powerful tool that promotes competitiveness and economic growth, sustainability, innovation, and regional coherence. Digitalization also calls for the industry actors to have meaningful integration of novel technologies and practices in their operations and strategy. Despite the importance of digital technologies as a competitive antecedent for hospitality ventures, the extant research is mainly anchored on digital marketing and its associations with traditional mass tourism activity. Evidence on other facets of digitalization is far less appreciated, especially in the niche segment of the alternative tourism marketspace. Considering the above developments, our research aim is to assess the contribution of a digital business ecosystem, including a wide array of digital applications, to the competitiveness of the hospitality industry in Greece, with a focus on alternative tourism activities. Our research draws on data collected from a sample of local ventures to investigate the impact of digital technologies on tourists’ attraction and company growth. In the main, our findings record the positive impacts of digitalization, with internet-based technologies standing out as the most influential medium to boost growth and hotels’ sustainability. We contribute by showing that in cases where hospitality ventures remain digitally illiterate, they will most probably face severe competition losses. Full article

Smart Heritage, a concept closely linked to Smart Cities and Smart Tourism, is an emerging field focused on enhancing heritage identity, visitor experience, and cultural sustainability. While initial frameworks have been developed, there is a gap in applying Smart Heritage at the precinct level, especially in large-scale heritage sites. This study addresses this gap by examining how open-access data can be utilised in a real-world case study of Chinatown Melbourne, a key urban heritage precinct. Data sources include archival maps, open-access databases, and 3D models provided by the local city council, covering resources such as on-street parking, pedestrian activity, microclimate, and dwelling functionalities. This study employed a structured methodology that transitions from global best practices to local applications, linking these data resources to Smart Heritage applications and identifying opportunities for improving urban management, heritage curation, and the tourism experience within the case study precinct. The findings offer practical insights for researchers and policymakers, demonstrating how data can support the development of culturally sustainable and technologically integrated heritage precincts. Future research should explore additional data types and case studies to further advance the field of Smart Heritage. Full article

The level of success in tourism is gauged by several metrics; however, the most widely used is the level of tourist arrivals. However, this research answered the call for greater investigation of the impacts of qualitative factors and intangible cultural–heritage assets on destination performance. The primary research purpose was to analyze the effect of implementing a local well-being philosophy (Tri Hita Karana) on tourist revisit intentions for Bali and the mediation of destination quality and destination image. A research model was developed to examine the relationships among local wisdom (TKH), destination quality, destination image, and revisit intentions. Data were collected via a survey of 520 digital nomadic tourists and analyzed using SmartPLS 4. The results indicated that the implementation of THK positively and significantly affected revisit intentions, destination image, and destination quality. Destination image and destination quality had positive and significant effects on revisit intentions, and destination image and destination quality also significantly mediated the effect of THK implementation on revisit intentions. The findings suggested that implementing local wisdom values such as THK in the management of a destination makes visitors feel more favorably about the quality and image of the destination and they have the intention to revisit. Full article

Hiking is one of the most popular and significant recreational activities in natural settings, yet hiking tourists are often not distinguished from the broader population of nature-based tourists. This study aimed to identify distinct segments of hiking tourists based on their motivations and to explore the relationship between segmentation, motivations, and their satisfaction with the hiking experience. Using a questionnaire survey of 262 hiking tourists in Taiwan and multivariate statistical techniques, four hiking motives—“relaxation”, “social interaction”, “competence and exploration”, and “mental refreshment”—were identified, and four segments of hiking tourists—“mental refreshment seekers”, “social hikers”, “challenge seekers”, and “general purpose hikers”—were classified, respectively. While all segments reported high levels of satisfaction, their satisfaction was influenced by different motives. This study enhances the theoretical understanding of hiking motives and provides practical recommendations for enhancing hiking experiences and nature conservation. Full article

Traditionally, professionals in the tourism sector have been encouraged to segment their market based on socio-demographic variables. However, the multifaceted nature of tourist activity calls for consideration of psychological factors to effectively shape marketing strategies. This study aims to provide insights for tourism industry practitioners by investigating the roles of tourists’ personalities and travel motivations in shaping their activities and their commitment to sustainability in Cumbria, home to UNESCO World Heritage Sites like the Lake District National Park and Hadrian’s Wall. Data were collected using quantitative methods to identify correlations between personality traits, travel motivations, and tourist activities. Additionally, a qualitative focus group with SME representatives from Cumbria provided insights into their understanding of the model. The findings provide significant insights into how the relationships between personality traits, travel motivations, and tourist activities can benefit tourism SMEs. By comprehending tourists’ behaviour, SMEs can tailor their offerings to appeal to the right audience, mitigating the adverse effects of overtourism, and therefore do more than allude to the concept of sustainability. Using these insights, SMEs could make informed decisions and create more effective marketing strategies, fostering sustainable practices that benefit both their customers and the long-term viability of their businesses and the destination. Full article