Editor’s Choice Articles

Wellness tourism represents a significant growth sector within the global tourism industry; however, empirical research examining development determinants in resource-constrained, emerging African destinations remains limited. This study investigates the structural relationships among infrastructure development, community involvement, marketing and promotion, and visitor expectations/service quality in advancing wellness tourism at Allelobad Hot Spring in Ethiopia’s Afar Region. Using a quantitative methodology, structured questionnaires were administered to 210 respondents (visitors, local community members, and tourism stakeholders), resulting in 186 valid responses. Data were analyzed through Confirmatory Factor Analysis (CFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM). Results demonstrate that all four determinants exert statistically significant positive effects on wellness tourism development (p < 0.001), with visitor expectations and service quality emerging as the strongest predictor (β = 0.35), followed by infrastructure development (β = 0.32), marketing and promotion (β = 0.30), and community involvement (β = 0.27). The structural model explains 68% of the variance in wellness tourism development, indicating substantial explanatory power. These findings underscore that sustainable wellness tourism growth in emerging destinations necessitates integrated, multidimensional strategies that simultaneously address physical infrastructure, stakeholder engagement, strategic positioning, and experiential excellence, rather than isolated sector-specific interventions. Full article

Carnival, as an expression of intangible cultural heritage, plays a significant role in shaping collective identity and tourism dynamics across diverse regions. In Spain, the antruejos of León constitute one of the most distinctive manifestations of traditional carnival, characterized by ancestral masquerades, archetypal characters, and rituals of symbolic inversion. This article examines the relationship between tourism and the safeguarding of antruejos. It situates these celebrations within the framework of Cultural Heritage Assets (Bienes de Interés Cultural, BIC) and analyses their impact on the revaluation and reinterpretation of festive heritage. Drawing on an anthropological approach and ethnographic fieldwork conducted in several localities of León, the study analyses how tourism shapes the continuity, transformation, and commodification of these carnivals, as well as the tensions between authenticity, revitalization, and spectacularization. The study provides a critical assessment of the role of antruejos in cultural tourism and of their contribution to the long-term sustainability of intangible heritage. Full article

Experiential and transformative travel are increasingly central in tourism scholarship and “life-changing” marketing, yet the proliferation of these labels has produced conceptual drift and persistent accountability gaps. This paper presents a narrated critical integrative review that distinguishes experiential travel from transformative travel and synthesizes how value, meaning-making, impact and methods are theorized across stakeholders and time. Searches of Scopus and the Web of Science Core Collection, supplemented by citation chasing, yielded 1284 records; screening produced 168 tourism-focused and 103 foundational sources (271 total). Iterative coding indicates that experiential research commonly foregrounds experience design and short-horizon valuation, whereas transformative research emphasizes change-over-time yet often relies on tourist self-narratives. Across both streams, valuation expands from transactional utility to affective, existential and ethical registers but remains frequently tourist-centred; meaning-making is patterned by narrative scripts and platform mediation; and impacts are distributed and ambivalent across tourists, hosts/communities, environments and institutions. Methodologically, claims about durability and justice are often unsupported by designs that assess persistence, comparison and distribution. This state-of-the-art review paper contributes working definitions and boundary conditions, an integrative framework linking antecedents, encounter mechanisms, valuation and multi-stakeholder impacts, and a method-specified research agenda with minimum reporting standards to support accountable research and practice. Full article

This study aims to examine how e-servicescape dimensions, demographic characteristics and user experience influence consumer perception of Peer-to-Peer (P2P) online platforms. The literature review is focused on servicescape, e-servicescape, and peer-to-peer (P2P) platforms in the hospitality sector. A relevant research model and hypothesis were established. For the empirical study, a questionnaire was developed and conducted on 135 users of P2P online platforms in the hospitality sector. Reliability analysis and hypothesis tests were identified through SPSSv31. Study results and implications were discussed and suggested. The results showed that all six subdimensions such as aesthetics, social presence, perceived personalization, perceived trust and safety, perceived interactivity and superior functionality, overall, create a positive perception in P2P users. While demographic characteristics showed no significant impact on consumer perception of the six e-servicescape dimensions, the user experience (frequency of use) confirmed that individuals that more frequently use P2P online platforms have a more positive perception of the e-servicescape. This study identified the importance of the dimensions of e-servicescape in P2P platforms in the hospitality sector and how they influence consumers’ perceptions, addressing a research gap caused by the limited empirical evidence on the role of demographic characteristics in the e-servicescape within hospitality in the sharing economy. Full article

Online guided tours have become an essential form of non-contact tourism, yet the experiential attributes shaping participants’ digital tour experiences remain underexplored. This study aims to identify the core experiential dimensions of online guided tours by analyzing user-generated review data and interpreting the findings through the experience economy framework. A dataset of 1506 participant reviews was collected from major online guided tour platforms and analyzed using text mining techniques, including TF-IDF and Latent Dirichlet Allocation (LDA). The results reveal the following seven experiential attributes: entertainment, education, esthetics, escapism, presence, interactivity, and digital environment. These findings indicate that online guided tours extend beyond traditional 4E experience dimensions, incorporating digitally mediated elements such as real-time communication and platform-driven immersion. The proposed “4E + 3D Model” captures the hybrid nature of digital tourism experiences, combining classic experiential factors with technology-enabled components. This study contributes to tourism experience research by empirically validating an expanded experiential structure suitable for digital contexts. It also demonstrates the value of user-generated review analysis for deriving authentic experiential insights. The results provide practical implications for enhancing online guided tour design, emphasizing real-time interactivity, digital esthetics, and system stability to improve participant experiences in virtual tourism settings. Full article

This study examines how community-based tourism (CBT) supports sustainable livelihoods by clarifying the mediating roles of community participation and tourism-related employment. Drawing on the Sustainable Livelihood Framework, Community Participation Theory, and the community development and empowerment approach, survey data were collected from 320 CBT-involved residents in three Vietnamese CBT settings (Ba Vì–Hà Nội, Lào Cai, and Lâm Đồng) during April–June 2025. Using PLS-SEM with bootstrapping and IPMA, the findings show that community participation and tourism-related employment are pivotal pathways through which livelihood assets translate into sustainable livelihood outcomes. Indigenous cultural values and policy commitment enhance livelihoods mainly by stimulating employment generation, whereas community awareness, human resource capacity, and access to financial capital operate primarily by strengthening community participation. IPMA indicates that participation and employment represent the most actionable leverage points for interventions. This study’s novelty lies in providing a mechanism-based explanation of CBT’s livelihood effects and converting SEM evidence into practical prioritization. Policy and managerial implications emphasize strengthening inclusive participation mechanisms, expanding and upgrading local employment (skills development, job stability, and market linkages), and reinforcing enabling institutional support that safeguards indigenous cultural values while improving household livelihood resilience in CBT contexts. Full article

The hotel sector is widely perceived as offering poor working conditions, contributing to persistent labor shortages within the industry. Transforming management practices in line with humanistic management principles has been suggested as one way to address these challenges. However, limited research has examined how hotel employees themselves perceive humanistic management relative to more traditional managerial practices and other approaches used to attract and motivate staff. This scoping study addresses this gap by surveying hotel employees in Austria, a tourism-intensive economy, to assess the perceived value of humanistic management practices. The findings show that although adopting humanistic management alone cannot fully resolve issues related to employee attraction and retention, it nonetheless has a significant positive effect on employees’ perceptions of employer attractiveness. Several humanistic practices valued by employees can be implemented without substantial increases in operational costs. These results suggest that hotel managers, even in data-driven decision environments, should integrate humanistic management practices while maintaining competitive remuneration. For policymakers in tourism-dependent destinations, the findings highlight the need to strengthen regulations that encourage more humanistic working conditions in hotels, thereby improving the overall quality of employment and enhancing the sector’s long-term attractiveness. Full article

Background: Influencer marketing has become one of the most effective strategies in digital communication due to its capacity to generate trust, credibility and endorsement within segmented online communities. Within the tourism sector, travel influencers have been progressively integrated as key agents in destination and brand promotion, contributing to both the construction of tourism-related perceptions and travel decision-making. This study aims to analyse how travel influencers communicate and promote tourist destinations, focusing on their profiles, content formats, commercial transparency and audience engagement. Methods: The research is based on a quantitative content analysis of publications by leading Spanish travel influencers identified through the Forbes Best Content Creators 2025 ranking. The observation period covered March to July 2025. Analysis was structured around four analytical blocks comprising 17 variables related to influencer profile, format and content, commercial transparency and ethics, and interaction. Results: The results reveal consistent behavioural patterns associated with gender, destination type and narrative style. Male influencers are more frequently linked to adventure-oriented storytelling and natural landscapes, whereas female influencers tend to emphasise urban and cultural experiences. Short-form video emerges as the dominant format, generating higher interaction levels, while engagement proves to be a more informative indicator of effectiveness than follower count. Conclusions: The findings underscore the importance of prioritising specialisation, narrative coherence, authenticity and transparency when integrating influencers into their communication strategies. Full article

This study examines how travelers alleviate anxiety during trips through real-time self-disclosure on social media. Based on the Transactional Theory of Stress and Coping and Social Penetration Theory, this study explores a process model in which travel anxiety triggers self-disclosure, which subsequently strengthens perceived social connectedness and psychological comfort. Survey data from 240 Korean travelers who shared content during their trip were analyzed using partial least squares structural equation modeling (PLS-SEM), which is suitable to this research in terms of estimating complex, theory-building models with multiple latent constructs. Results show that psychological comfort predicts travel satisfaction and fully mediates the effect of social connectedness on satisfaction. By reframing social media use as a real-time coping mechanism rather than post-experience sharing, and positioning psychological comfort as a distinct low-arousal emotional mediator, this study extends tourism research on on-site digital coping and tourist experience management. Full article

The Meetings, Incentives, Conventions, and Exhibitions (MICE) sector has become a strategic driver of regional economic development, yet secondary cities often lack the structural, governance, and experiential capacities required for competitive MICE positioning. This study proposes and empirically validates a triangulated analytical framework that integrates structural readiness, stakeholder governance capacity, and tourist perceptions to capture systemic misalignments in emerging MICE destinations, going beyond conventional applied readiness assessments. This study evaluates the preparedness of Nakhon Si Thammarat, Thailand, to develop as a sustainable MICE destination using a triangulated mixed-methods design comprising (1) a city readiness assessment based on TCEB’s eight criteria, (2) a survey of 400 tourists and MICE visitors, and (3) in-depth interviews with 20 key stakeholders. The weighted assessment indicated a moderate overall readiness score (3.48/5), with strengths in environmental management, safety, supporting activities, and accommodation. However, MICE venue capacity and city image remained notably weak. Tourists consistently perceived high readiness across most areas, whereas stakeholders highlighted major systemic issues, including fragmented governance, inconsistent MICE service quality, limited capacity for large events, and inadequate transportation integration. Triangulating these viewpoints reveals three analytically distinct preparation gaps—structural, policy implementation, and experience expectations—demonstrating a fundamental misalignment between experiential appeal and institutional capabilities. This study conceptualizes preparedness as a relational outcome impacted by infrastructure, governance procedures, and market perceptions, adding to the MICE destination and governance literature. The methodology can be used to examine comparable misalignments in other emerging or secondary MICE destinations. The findings guide governance-driven MICE city development plans for sustainability and competitiveness. Full article

The urgency of research into innovation and digital marketing is driven by growing competition within the tourism industry, which demands greater destination visibility (DV) and tourist engagement (TE). At the same time, Areia Branca Beach, a prominent destination in Timor-Leste, has not been managed optimally to support sustainable tourism. Furthermore, the utilisation of governance innovation and digital marketing—particularly the integration of content marketing (CM), immersive technology (IT), and digital data analytics (DDA)—remains limited and has yet to be substantiated by robust empirical evidence at the scale of a developing destination. This study aims to investigate the role of DDA in the causality between CM and IT in influencing DV and TE. A quantitative approach was employed, using moderated regression analysis (MRA) to test the empirical relationships between the variables. Primary data were collected through face-to-face field surveys of tourists who had visited Areia Branca Beach, located northeast of Dili, Timor-Leste, on at least two occasions. The study adopted simple random sampling (SRS) with a finite population correction (FPC). A total of 364 tourists were selected to assess their perceptions using a structured questionnaire. The study reveals four main findings. First, CM significantly affects DDA and DV. Second, IT influences DDA, but not TE. Third, DDA significantly affects both DV and TE. Fourth, DDA moderates the effect of CM on DV and the effect of IT on TE. The findings underscore that the collaborative governance concept, through governance and marketing innovations, is not yet optimal for shaping sustainable tourism. Finally, future academic and practical policy implications require more in-depth exploration to emphasise the enhancement of resource management capacity genuinely needed in the subjects studied, beyond governance and digital marketing innovations within the sustainable tourism framework. Full article

This study examines how Generation Z’s digital practices on TikTok and Instagram shape their music festival experiences, focusing on event perception, engagement, and the development of collective identity. The aim is to identify key factors connecting online and offline aspects of festival participation. The research adopts a quantitative approach based on an online survey of 248 respondents born between 1995 and 2010 from various regions of Serbia. Data were analyzed in SPSS 26.0 using Spearman correlation, quantile regression, and the Mann–Whitney test. Given the exploratory nature of the study, the findings should be interpreted accordingly. Findings show that frequent social media use has a positive but limited effect on how important these platforms are perceived for the festival experience. However, user-generated content created by attendees plays a more significant role in shaping engagement and attitudes than influencer content. Influencer credibility also influences how festivals are interpreted digitally. The interplay between online interaction and offline participation motivates content sharing and reinforces a sense of community. Overall, the study concludes that social media and digital narratives are central to Generation Z’s festival experience. Authentic, attendee-created content strongly contributes to collective identity, helping bridge digital and physical dimensions—insights valuable for festival organizers, influencers, and cultural tourism. Full article

Marine ecotourism and Small–Medium Enterprise (SME) digitalization are increasingly seen as key drivers for coastal community welfare, yet their combined impact, particularly through local economic empowerment, remains underexplored. This study aims to examine whether marine ecotourism (ME) and SME digitalization (SD) influence local community welfare (LCW), mediated by SME empowerment (SE), and moderated by government support (GS). A quantitative, cross-sectional survey was conducted with 312 marine tourism entrepreneurs in North Minahasa, Indonesia, and data were analyzed using Partial Least Squares Structural Equation Modeling. The results show that ME and SD have a significant positive effect on SE and LCW. However, ME and SD were found to be insignificant on LCW. Crucially, SE fully mediates the relationship between both ME and SD on LCW, indicating that empowerment is the primary mechanism for welfare improvement. Furthermore, GS was found to significantly strengthen the positive relationship between SE and LCW. This study concludes that empowering local SMEs is the critical bridge for transforming ecotourism and digitalization into tangible community welfare, and this process is significantly amplified by a supportive institutional environment provided by the government. Full article

Grounded in the Stimulus–Organism–Response (SOR) framework, this study examines how tourists’ in-trip use of ChatGPT shapes satisfaction during leisure travel. Survey data from 502 Indonesian travellers were analysed using PLS-SEM. Information diagnosticity, task efficiency, and perceived social support significantly strengthen travellers’ confidence in on-site choices, with social support emerging as the strongest predictor. Greater confidence elevates positive destination emotion, which in turn enhances tourist satisfaction, supporting a sequential cognition–affect mechanism. The study extends SOR to the during-trip stage by conceptualising ChatGPT as a real-time, dialogic stimulus that influences experience formation. Practically, destination and tourism firms can deploy ChatGPT at key on-site touchpoints and prioritise reassuring, effort-reducing guidance, supported by reliable local information and clear escalation to human assistance for higher-stakes needs. Full article

The present study employs cluster analysis to segment Bulgarian domestic tourists based on microdata from a nationally representative survey (n = 1003) of summer holidaymakers on the Black Sea coast destinations. The primary objective is to identify homogeneous groups of tourists with similar demographic and behavioural characteristics, thereby enabling the development of more targeted tourism policies and marketing strategies. The methodological framework includes both hierarchical and non-hierarchical (k-means) clustering, applied to standardized variables such as age, household size, satisfaction with various aspects of the tourist experience, and behavioural intentions. The analysis reveals four distinct tourist profiles, each characterized by specific patterns of evaluation and travel behaviour—retirement age loyalists, middle-aged sceptics, younger moderate enthusiasts and young high loyalists. The findings reveal the heterogeneity of the domestic tourism market in Bulgaria and provide a data-driven foundation for enhancing the effectiveness of tourism management and promotional efforts. Full article

Participation in running events has expanded worldwide, consolidating itself as a form of active leisure and a driver of social and tourism engagement. Although runners’ motivations have been extensively studied, perceived inclusivity, understood as motivation derived from the event’s promotion of equitable participation across gender, age and functional ability, has rarely been examined as a distinct motivational dimension within structural models. This study analyses the motivational structure of participants in the Elche Half Marathon (Spain) and assesses the incremental contribution of inclusivity to traditional motivational frameworks. Based on a sample of 1053 valid responses, a two-stage psychometric and segmentation approach was applied. Exploratory and confirmatory factor analyses (EFA and CFA) were conducted to compare a four-factor model (sport-related hedonism, competition, socialization and digital socialization) with an extended five-factor model incorporating inclusivity. Subsequently, cluster analyses were performed using factor scores derived from each model. The results show that the inclusion of inclusivity improves model fit and increases explained variance, while also generating a more differentiated segmentation structure. The extended model revealed six motivational profiles, some of which displayed continuity with the classical solution, while others were reconfigured when inclusivity was introduced. Overall, the findings indicate that inclusivity functions as a complementary and context-dependent motivational dimension that refines the understanding of participation heterogeneity in running events. Rather than replacing traditional motives, inclusivity contributes incremental explanatory value and enhances the identification of motivational profiles, offering relevant insights for the design and management of mass-participation sporting events. Full article

To avoid tourism market failure caused by inappropriate development strategies, a study was conducted on the travel preferences of Generation Z, the future tourism market. The study found that tourism has shifted from comfortable, tranquil, and easily accessible areas to areas with unique views, extreme topography, proximity to nature, and instagrammable features. This shift reflects tourists’ responses and motivations. This study used a mixed-methods approach, involving 28 tourism managers and 147 Generation Z tourists. Quantitative methods, such as questionnaires, examined tourism motivations through push and pull factors, while in-depth interviews, a qualitative method, examined shifts in the tourism space. The results of this study demonstrate a shift away from the classical view that younger generations’ tourism behavior is predominantly hedonistic and consumptive toward an experience-oriented, nature-connected orientation, aligned with the concept of eco-experiential tourism. Rather than indicating a uniform or definitive shift in reflection, this tendency highlights the growing importance of experiential, cultural, and digital values in Generation Z’s travel preferences. Theoretically, the study contributes to refining existing perspectives by emphasizing the social, technological, and ecological dimensions shaping these preferences. In practice, the findings underscore the need for tourism policies that integrate nature conservation, digital innovation, and the strengthening of local culture to support sustainable destinations. Full article

This study investigates the deep-seated impacts of the COVID-19 pandemic on Macao, a mono-economy extremely dependent on the single factor of “tourism mobility”. We investigate a counter-intuitive phenomenon observed during the 2020–2022 shock: the Herfindahl–Hirschman Index (HHI) declined significantly, suggesting “apparent diversification”. Using counterfactual simulations and a Two-Way Fixed Effects (TWFE) model, we quantitatively deconstruct this “resilience illusion”. The results confirm that the decline in the HHI was driven entirely by the “denominator effect” triggered by the collapse of the dominant industry’s (gaming) GVA; if the impact of this recession is excluded, the Counterfactual HHI was even higher than pre-pandemic levels, indicating that the structure did not undergo substantive optimization. Furthermore, inferential statistical tests confirmed the existence of significant “structural lag” in the labor market. This study further reveals a dual divergence mechanism based on “skill specificity”: in sectors with high skill universality (e.g., transport and catering), a structural shift toward “workforce casualization” occurred, manifested by a significant decline in the full-time ratio; conversely, in sectors with strong skill specificity (e.g., gaming and hospitality), firms tended toward “labor hoarding”. This study exposes the macro-indicator trap faced by tourism mono-economies under extreme shocks and provides new micro-evidence for understanding the heterogeneous scars in the service labor market. Full article

Road running tourism events continue to grow worldwide and are increasingly leveraged by destinations seeking diversification and seasonality reduction. This study examines the motivational structure of participants in the 2025 Half Marathon Magaluf (Mallorca, Spain)—a mature Mediterranean resort undergoing tourism repositioning—and analyses how motivation-based segments relate to socio-demographic, sporting and tourism behaviours. Data were collected through a self-administered online survey (N = 306). An Exploratory Factor Analysis (EFA), followed by a Confirmatory Factor Analysis (CFA), validated a five-factor motivational structure: sport-related hedonism, socialisation, personal challenge, inclusiveness and digital interaction. A k-means cluster analysis identified five distinct segments—Digital Enthusiasts, Inclusive Enjoyers, Socializers, Hedonic Achievers and Inclusivists—each exhibiting differentiated patterns in Experience-Use History (EUH), origin, gender, and running-club membership. Notably, Socializers recorded the longest stays, Inclusive Enjoyers were overrepresented among first-time visitors, and Digital Enthusiasts and Hedonic Achievers included a higher share of international runners. These findings expand traditional motivational models by incorporating inclusiveness and digital interaction as emerging drivers and offer actionable recommendations for event organisers and destination managers seeking to enhance overnight stays and support destination repositioning strategies. Full article

The rapid integration of artificial intelligence (AI) and smart technologies is transforming hospitality operations, yet guest acceptance remains uneven, shaped by utilitarian, experiential, ethical, and cultural evaluations. This study develops and empirically tests a multicomponent framework to explain how these factors jointly influence two behavioral outcomes: whether AI-enabled features affect hotel choice and whether guests are willing to pay a premium. A cross-sectional survey of 689 hotel guests in Tirana, Albania, an emerging hospitality market and rapidly growing tourist destination in the Western Balkans, was analyzed using cumulative link models, partial proportional-odds models, nonlinear and interaction extensions, and binary robustness checks. Results show that prior experience with smart or AI-enabled hotels, higher awareness, and trust in AI, especially trust in responsible data handling, consistently increase both acceptance and willingness to pay. Perceived value, operationalized through the breadth of identified benefits and desired features, also exhibits robust positive effects. In contrast, privacy concerns selectively suppress strong acceptance, particularly financial willingness, while cultural–linguistic fit and support for human–AI collaboration contribute positively but modestly. Interaction analyses indicate that trust can mitigate concerns about reduced personal touch. Open-ended responses reinforce these patterns, highlighting the importance of privacy, human interaction, and staff–AI coexistence. Overall, findings underscore that successful AI adoption in hospitality requires aligning technological innovation with ethical transparency, experiential familiarity, and cultural adaptation. Full article

This study moves beyond the static view prevalent in hospitality loyalty research by developing and longitudinally testing a process-oriented model of loyalty formation. Recognizing that loyalty is a dynamic outcome, we employ a three-wave panel design with a three-month lag, surveying 562 customers of organic restaurants within green-certified hotels. Data are analyzed using a Cross-Lagged Panel Model (CLPM) to meticulously map the temporal interplay among key antecedents, controlling for autoregressive effects and covariates. The findings provide robust evidence for a specific cognitive-to-affective sequence: perceptions of food quality at one time point shape subsequent judgments of perceived value, which in turn drive customer satisfaction, ultimately fostering loyalty in a succeeding period. Crucially, the CLPM also reveals that food quality and price fairness exert significant, direct time-lagged effects on loyalty, suggesting the presence of dual psychological pathways. By establishing temporal precedence and mapping sequential mediation, this study offers a more causally robust and managerially actionable understanding of how customer loyalty evolves. Full article

This study develops and empirically validates a theoretical model designed to assess the performance of tourism innovation ecosystems by integrating the dimensions of innovation, technology, and sustainability—dimensions that have typically been examined in isolation within the literature. The empirical investigation was conducted at two major tourism destinations: a pilot phase in Las Vegas, followed by the main study in Orlando, USA. Data collection was facilitated via the Amazon Mechanical Turk (MTurk) platform, and analysis was conducted using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), enabling the examination of eight hypotheses across seven constructs. The findings provided evidence of both convergent and discriminant validity and supported five of the eight proposed hypotheses. Specifically, the study confirmed significant relationships among technology acceptance and adoption, adoption and innovation generation, innovation and both sustainability and overall ecosystem performance, and adoption and sustainability. Conversely, collaboration and actor-integration barriers did not exhibit significant effects in Orlando, which is consistent with its mature institutional environment. Innovation emerged as a mediating variable linking technology and sustainability, exerting a substantial influence on overall ecosystem performance. This research advances the theoretical consolidation of the tourism innovation ecosystem concept and offers actionable insights for destination managers aiming to foster innovation, facilitate the adoption of connective technologies, and implement sustainable strategies. The proposed model demonstrates empirical robustness and practical relevance, providing a comprehensive framework for analyzing and enhancing smart, resilient tourism destinations. Full article

This study examines the adoption of artificial intelligence (AI) among micro and small hospitality enterprises in Slovenia, a small EU economy where digital transformation remains limited. It explores how organisational characteristics and managers’ attitudes toward AI are related to its adoption and firms’ operating revenues. Data were collected from 286 accommodation and food-and-beverage enterprises through a structured questionnaire completed by managers or owner–managers, complemented by secondary official financial data. Using ordinary least squares regression, the analysis examined associations among organisational characteristics, managerial attitudes, AI use intention and adoption, and financial performance. The results indicate that firm size and structural features alone are not closely linked to digital transformation. AI adoption shows stronger associations with managers’ positive attitudes and with factors such as non-family ownership and smaller firm size. The overall General Attitudes toward AI Scale (GAAIS) score showed no direct relationship with revenue, but two specific items—enthusiasm for AI and recognition of business opportunities—were positively associated with higher revenues. Among AI tools, only smart text editors and CRM systems were statistically associated with revenues, suggesting that better-performing firms are more likely to use simpler, more affordable technologies. The study provides contextual evidence on behavioural and organisational dimensions of AI adoption in resource-constrained hospitality SMEs. Full article

The contemporary digital landscape overwhelms visitors with fragmented and dynamic information, complicating travel planning and often leading to decision paralysis. This paper presents a real-world case study on the design and deployment of an intelligent tourism assistant for Valencia, Spain, built upon a Retrieval-Augmented Generation (RAG) architecture. To address the complexity of integrating static attraction data, live events, and geospatial context, we implemented a multi-agent system orchestrated via the ReAct (Reason + Act) paradigm, comprising specialized Retrieval, Events, and Geospatial Agents. Powered by a large language model, the system unifies heterogeneous data sources—including official tourism repositories and OpenStreetMap—within a single conversational interface. Our contribution centers on practical insights and engineering lessons from developing RAG in an operational urban tourism environment. We outline data preprocessing strategies, such as coreference resolution, to improve contextual consistency and reduce hallucinations. System performance is evaluated using Retrieval Augmented Generation Assessment (RAGAS) metrics, yielding quantitative results that assess both retrieval efficiency and generation quality, with the Mistral Small 3.1 model achieving an Answer Relevancy score of 0.897. Overall, this work highlights both the challenges and advantages of using agent-based RAG to manage urban-scale information complexity, providing guidance for developers aiming to build trustworthy, context-aware AI systems for smart destination management. Full article

Wine tourism has become a key element for the economic and cultural development of Spanish rural areas, traditionally excluded from major tourist flows. This study analyzes the motivations of wine tourists in Spain and their influence on perceived value while also considering the moderating role of perceptions generated during the visit. A total of 357 valid questionnaires were collected between October and December 2022 and analyzed using structural equation modelling (PLS-SEM). Of the two hypotheses proposed, the positive influence of motivations on perceived value was confirmed, while the expected influence of perceptions on perceived value was not supported. The results highlight the importance of motivations as a determining factor for enhancing tourists’ perceived value and, therefore, their satisfaction and loyalty. These findings can be of great help to cooperatives and small wineries when designing wine tourism strategies and wine festivals that enrich the tourist experience and strengthen the positioning of destinations in the Spanish wine sector. Full article

This study aims to identify and critically compare multi-stakeholder frameworks and collaborative approaches for sustainable destination development. A comprehensive literature review was carried out, examining the most relevant frameworks published between 2014 and mid-2025. This study compares frameworks and collaborative approaches grounded in a real-life context, examining their operational mechanisms, foundational principles, and the adaptive perspectives tailored to specific destinations. The research questions were developed using the SPIDER tool, and the literature review was conducted using sources from various databases. Seventy-eight articles were included and typologically classified as applied, conceptual, and empirical. To deepen comparison, six focal cases were assessed in a five-criterion matrix. Three typical destination settings were presented and describe how frameworks are configured across contexts. The findings reflect a maturity scale, with empirical cases presenting a more comprehensive overview in relation to the criteria of the matrix. The discussion takes place through the identification of barriers and challenges of frameworks’ implementation and the introduction of two practical design levers, as an interpretive contribution, that are identified as mechanisms that go beyond the framework for upgrading the quality of implementation. The study contributes to the broader discussion on sustainable development and offers useful recommendations for future research in destination management. Full article

This paper studies the connection between the 4As factors and tourist satisfaction and evaluates the impact of digital interaction that can either strengthen or weaken the effect of these factors. The study has been conducted in five major tourist destinations in Serbia with 577 tourists as the sample, who used high category hotels. Bayesian statistics allowed a specific evaluation of the effects of predictors and the effects of moderation. The findings reveal that all the 4As determinants are important predictors of tourist satisfaction with attractions and amenities playing the strongest roles. Digital interaction: Digital interactions will become a major mediator of its presence, with an amplification of the effect of ancillary services and accessibility in the case of attractions and amenities, and a dependent effect on the perceptions of authenticity and technological literacy by the tourists. The research is relevant to the theoretical discussion on the impact of digitalization in tourism because it extends the concept of the 4As framework by providing it with a digital aspect. Practical implications show that there is a necessity to introduce a balance between digital and physical aspects of the tourist experience to maximize visitor satisfaction. Full article

The aviation sector faces increasing pressure to address climate change as its contribution to global CO₂ emissions continues to rise. This study investigates how passengers’ awareness of environmental issues and perceptions of sustainable airline practices affect their Green Air Travel Behavior (GTB). Drawing upon the Theory of Planned Behavior (TPB) and extending it with constructs such as Environmental Awareness (EA), Perceived Service Quality (PSQ), and Green Trust (GT), the research examines their impact on GTB. Using a quantitative design, data were collected from 300 airline passengers and analyzed with Structural Equation Modeling (SEM). Results reveal that EA strongly influences PSQ, GT, Attitude (ATT), and Intention (ITN), highlighting its role as a key antecedent. PSQ significantly enhances GT, while both GT and ATT directly predict GTB. However, the effect of ITN on GTB was not significant, indicating an intention–behavior gap. The findings underscore the importance of awareness, trust, and service quality in promoting sustainable air travel, while also pointing to barriers that hinder intentions from becoming actions. Theoretically, the study extends TPB within green aviation, and practically, it provides guidance for airlines and policymakers seeking to advance SDG 13: Climate Action through sustainable air travel strategies. Full article

As service robots become more prevalent in hospitality settings, understanding what shapes employees’ trust in these technologies is essential for fostering effective human–robot collaboration. Despite extensive research on customer trust and robot-related attributes, employee perspectives have received limited and fragmented attention. The aim of this study is to examine how human, robot, and organizational factors collectively influence employees’ trust in service robots, thereby offering a more comprehensive understanding of trust formation in hospitality contexts. To address this aim, this study adopts a three-dimensional trust framework (human, robot, and organizational factors) and provides the first comprehensive empirical test in the hospitality sector. Drawing on survey data from 301 frontline hospitality workers in the United States, we investigated how various human-, robot-, and organization-related factors influence employees’ trust in service robots using bootstrap multiple regression analysis. The results reveal that human factors, particularly employees’ attitudes toward and comfort with robots, emerged as dominant trust predictors. Surprisingly, organizational factors showed minimal direct impact, suggesting complex trust dynamics unique to hospitality contexts. These findings significantly expand existing human–robot interaction (HRI) theory and offer critical practical insights for hospitality managers integrating robots into frontline service. Full article

Sustainability has become a significant concern in the tourism and hospitality industries. There is an increasing emphasis on how a company’s operations and employees influence customer experiences and value. This study employed the Social Exchange Theory to investigate the impact of sustainability-oriented practices on customer-perceived values, with pro-environmental work behavior serving as a mediator. Data obtained from employees in the tourism and hospitality sector in Ghana were analyzed using Harman’s single factor test in SPSS version 24 and partial least squares structural equation model in SMARTPLS version 4. The study revealed that sustainability-oriented practices significantly enhance both perceived customer values and pro-environmental work behavior. Further, pro-environmental work behavior was found to have a significant influence on customer-perceived values. Finally, the study revealed that pro-environmental work behavior partially mediated the positive relationship between sustainability-oriented practices and customer-perceived values. These findings underscore the importance of incorporating employee-driven environmental behaviors into sustainability initiatives, offering both theoretical insights through the Social Exchange Theory and practical guidance for enhancing customer value in the hospitality industry. Full article

Community-based tourism (CBT) is deemed a powerful means for enhancing community well-being and ethnic cultural preservation (CP). However, its sustainability has been challenged by resource scarcity, environmental pollution and funding instability in Vietnam. This study investigates young tourists’ perceptions of and financial contributions to community-based tourism associated with cultural preservation (CBT-CP) at Lac Village, a key White Thai ethnic site in Phu Tho province. Specifically, the contingent valuation method (CVM) coupled with an interval regression model was used to analyze the data obtained from 275 respondents during December 2024 to estimate the willingness to pay (WTP) for CBT-CP and identify influencing factors. We found that nearly 50% of the respondents are willing to contribute financially, with an average of roughly USD 4.45 per visit. This leads to total contributions of USD 2413 for all respondents and USD 1541 for respondents with a high certainty level of commitment. Additionally, we found that key barriers to WTP for CBT-CP are fiscal transparency concerns, personal financial limitations, and individual determinants. These findings offer many policy implications for mobilizing young tourists’ untapped funding, strengthening local management capacity, and advocating for enhanced transparency to improve CBT-CP in the study area and beyond. Full article

This study investigates how multidimensional value and experience quality shape satisfaction and loyalty in shopping tourism. We extend the QVSL tradition by (i) specifying three hedonic value dimensions (entertainment, exploration, escapism), (ii) differentiating functional value into performance-oriented and money-saving facets, and (iii) incorporating epistemic value and experience quality as additional antecedents. We also model immediate behavioral outcomes (i.e., money spent and time spent) and test involvement as a moderating condition. Using path analysis on data from 413 mainland Chinese tourists in Japan, findings confirm that entertainment, functional value (for performance and money), epistemic value, and experience quality enhance shopping satisfaction. Functional values, epistemic value, and satisfaction drive destination loyalty. Money and time spent are additional outcomes of satisfaction. Involvement moderates the link between satisfaction and money spent. These insights offer strategic implications for Destination Marketing Organizations (DMOs) and retailers to optimize shopping environments and employee services, increasing tourist satisfaction, loyalty, and both time and money spent in the competitive shopping tourism market. Limitations include the cross-sectional design and the use of composite-indicator path analysis; future research could apply longitudinal or full SEM approaches, broaden contexts, and test additional constructs. Full article

The hospitality industry’s rapid adoption of AI service robots has revealed significant variability in consumer acceptance, highlighting the need for personality-based implementation strategies rather than one-size-fits-all approaches. This study extended the AIDUA (Artificial Intelligence Device Use Acceptance) model by integrating Big Five personality traits and robot design characteristics to understand AI service robot acceptance among South African hospitality consumers. A convergent mixed-methods design combined structural equation modeling of survey data (n = 301) with natural language processing analysis of qualitative responses to examine personality-acceptance pathways and consumer concern themes. Results demonstrated that neuroticism negatively influenced performance expectancy (β = −0.284, p < 0.001), while openness enhanced hedonic motivation and preference for humanoid robots (β = 0.347, p < 0.001). Privacy concerns partially mediated the neuroticism-rejection relationship, while transparency interventions significantly improved acceptance among high-neuroticism consumers (effect size d = 0.98). Four distinct consumer segments emerged: Tech Innovators (23.1%), Pragmatic Adopters (31.7%), Cautious Sceptics (28.4%), and Social Moderates (16.8%), each requiring tailored robot deployment strategies. The extended AIDUA framework explained 68.4% of variance in acceptance intentions, providing hospitality operators with empirically validated guidelines for matching robot types to guest personality profiles, optimizing guest satisfaction while minimizing resistance through culturally sensitive implementation strategies. Full article

The awareness of tourism’s environmental impact has increased interest in sustainable alternatives such as green hotels, yet tourists often fail to translate pro-environmental attitudes into action, reflecting the attitude–behavior gap. This study extends the Theory of Planned Behavior (TPB) by incorporating Environmental Knowledge and Climate Change-Related Risk Perceptions (CC-RRPs) as background factors and testing their effects on Green Hotel Purchase Intentions (GHPIs) among Spanish travelers. Data from 1442 respondents were analyzed using covariance-based Structural Equation Modeling (SEM) with bootstrapped mediation testing. Results show that In-Group Norms are the strongest predictor of GHPIs, followed by Eco-Hotel Attitudes, while Perceived Behavioral Control (PBC) has a weaker but significant effect. Environmental Knowledge predicts all three mediators, and CC-RRPs predict Attitudes and Norms but not PBC. Crucially, both antecedents affect GHPIs only indirectly, supporting a mediation-based framework. These findings clarify the distinct roles of Environmental Knowledge as a cognitive antecedent and CC-RRPs as cognitive–affective evaluations that motivate attitudes and norms, while also highlighting the centrality of social influence in a Southern European context. Beyond theoretical contributions, the results underscore the importance of trust and authenticity: addressing greenwashing through transparent communication and credible certification frameworks is essential to ensure sustainable hospitality choices. Full article

Community-Based Tourism (CBT) is increasingly pivotal for sustainable rural development in emerging economies, particularly in culturally rich nations like Indonesia. The vulnerability of tourism-dependent communities, starkly exposed by the COVID-19 pandemic, underscores the urgent need to understand how CBT can foster socio-economic resilience—the capacity to withstand, adapt to, and recover from shocks. This study aims to investigate the relationship between CBT governance models and socio-economic resilience in rural Indonesia, identifying the critical factors that enable communities to thrive amidst adversity. A comparative qualitative case study design was employed, focusing on three tourism villages in Yogyakarta (Nglanggeran) and Bali (Penglipuran, Jasri). Data were collected through semi-structured interviews, focus group discussions, and participant observation conducted from June to August 2024. The findings reveal that villages with inclusive participation, strong local leadership, and equitable benefit-sharing mechanisms (e.g., Nglanggeran) demonstrate higher resilience, characterized by economic diversification, robust social capital, and strong adaptive capacity. In contrast, top-down governance (Penglipuran) or entrepreneurial but fragmented initiatives (Jasri) can limit inclusivity and adaptability, constraining resilience. This research contributes to the CBT literature by providing a comparative analysis of resilience outcomes across different governance contexts in Indonesia. It offers a refined framework for understanding how local institutions and community agency interact to build resilience. The study provides practical insights for policymakers and community leaders, highlighting the importance of fostering inclusive governance, strategic partnerships, and economic diversification to enhance the long-term sustainability and resilience of tourism-dependent communities. Full article

This study examines the intention of Greek tourists who visit national touristic destinations to adopt Artificial Intelligence (AI) chatbots in the tourism sector. Using the UTAUT2 model as a framework, data were collected through a closed-ended questionnaire and analyzed with correlation and regression methods to identify the main drivers and barriers to this adoption. Results show that specific factors such as performance expectancy, hedonic motivation, and perceived innovativeness significantly and positively influence chatbot usage, emphasizing the role of usefulness, enjoyment, and innovation in shaping user acceptance. Conversely, factors such as inconvenience, habit, and difficulty of use negatively affect adoption, indicating the importance of overcoming usability challenges and resistance to change. These findings highlight the need for the development of accessible and engaging chatbot systems and underscore the value of continuous technological improvements. The study concludes that adopting AI-driven solutions can help tourism providers personalize services, improve operational efficiency, and enhance customer satisfaction, fostering sustainable competitiveness in the sector. Full article

Traditional food products (TFPs) hold a significant place in the cultural and gastronomic identity of Vojvodina, and consumer interest in these products is continuously growing, positioning them among the most relevant research topics in the fields of hospitality and consumer behavior. The aim of this study was to examine how consumers’ socio-demographic characteristics influence their attitudes and perception of the quality and attributes of TFPs on hospitality and tourism market. The research was conducted on a sample of 507 adult respondents from the territory of the Autonomous Province of Vojvodina. Data were analyzed using descriptive statistics, nonparametric tests (Mann–Whitney U and Kruskal–Wallis) and ordinal logistic regression. The results indicate that age, gender, education level and place of residence significantly affect attitudes toward the quality, price, availability, and advantages of TFPs compared to industrial or imported products. Respondents from rural areas, those with lower education levels and lower incomes, show a greater tendency to consume traditional products. The main barriers to consumption were identified as high prices and insufficient information. The regression results showed that gender and place of residence were significant predictors of consumers’ tendency to choose dishes prepared with TFPs in hospitality establishments. The study highlights the need for tailored marketing and educational strategies to improve the accessibility, diversity, and visibility of TFPs on the market, with particular attention to their integration into the hospitality sector. However, the study is limited to the region of Vojvodina and relies on self-reported data, which may introduce response bias. Future research could explore comparative analyses across different regions or include qualitative insights into consumer motivations. Full article

This study examines community-based wellness tourism (CBWT) in Ubud, Bali, focusing on ownership structures, community participation, and the role of local traditions. Using a qualitative design, the data were collected through semi-structured interviews with wellness stakeholders and field observations of spas and yoga centers. The findings reveal that spas are predominantly locally owned and staffed, ensuring value retention and skill development, while flagship yoga and retreat centers are dominated by non-local actors, creating risks of economic leakage and weaker cultural stewardship. Community involvement is strong in operations but limited in planning and governance, highlighting a policy–practice gap. Integrating Balinese traditions, such as Usada Bali and Melukat, could enhance authenticity but requires careful protection against commodification. The findings reveal that locally owned spas contribute to SDG 1 (No Poverty) and SDG 8 (Decent Work and Economic Growth) through local value retention, employment creation, and skill development, while non-local dominance of yoga and retreat centers risks economic leakage and weakened cultural guardianship. The study also identifies gaps in governance and planning, underscoring the need for inclusive participation and capacity building to align with SDG 11 (Sustainable Cities and Communities). Integrating Balinese traditions, such as Usada Bali and Melukat, highlights the opportunities for safeguarding cultural heritage, provided that protocols against commodification are enforced. To address these challenges, the study proposes a strategic framework emphasizing governance reform through a quadruple-helix model, shared-equity ownership, standardized human capital development, and protocol-based cultural guardianship. Despite the limitations of this being a single-case, cross-sectional study, the findings contribute to wellness tourism research by shifting attention from visitor demands to governance and equity. The study offers practical strategies for institutionalizing CBWT in Ubud while providing a transferable model for destinations seeking to balance growth with tradition. Full article

This study investigates hotel employees’ perceptions of AI-driven human resource (HR) management systems within the Accor Group’s properties across three major European cities: Paris, Berlin, and Amsterdam. These diverse urban contexts, spanning a broad portfolio of hotel brands from luxury to economy, provide a rich setting for exploring how AI integration affects employee attitudes and work–life balance. A total of 437 employees participated in the survey, offering a robust dataset for structural equation modeling (SEM) analysis. Exploratory factor analysis identified two primary factors shaping perceptions: AI Perceptions, which encompasses employee views on AI’s impact on job performance, communication, recognition, and retention, and balanced management, reflecting attitudes toward fairness, personal consideration, productivity, and skill development in AI-managed environments. The results reveal a complex but optimistic view, where employees acknowledge AI’s potential to enhance operational efficiency and career optimism but also express concerns about flexibility loss and the need for human oversight. The findings underscore the importance of transparent communication, contextual sensitivity, and continuous training in implementing AI systems that support both organizational goals and employee well-being. This study contributes valuable insights to hospitality management by highlighting the relational and ethical dimensions of algorithmic HR systems across varied organizational and cultural settings. Full article

We propose an edge-enhanced federated learning framework for real-time itinerary optimization in elderly oriented adventure tourism, addressing the critical need for adaptive scheduling that balances activity intensity with health constraints. The system integrates lightweight convolutional neural networks with a priority-based scheduling algorithm, processing participant profiles and real-time biometric data through a decentralized computation model to enable dynamic adjustments. A modified Hungarian algorithm incorporates physical exertion scores, temporal proximity weights, and health risk factors, then optimizes activity assignments while respecting physiological recovery requirements. The federated learning architecture operates across distributed edge nodes, preserving data privacy through localized model training and periodic global aggregation. Furthermore, the framework interfaces with transportation systems and medical monitoring infrastructure, automatically triggering itinerary modifications when vital sign anomalies exceed adaptive thresholds. Implemented on NVIDIA Jetson AGX Orin modules, the system achieves 300 ms end-to-end latency for real-time schedule updates, meeting stringent safety requirements for elderly participants. The proposed method demonstrates significant improvements over conventional itinerary planners through its edge computing efficiency and personalized adaptation capabilities, particularly in handling the latency-sensitive demands of intensive tourism scenarios. Experimental results show robust performance across diverse participant profiles and activity types, confirming the system’s practical viability for real-world deployment in elderly adventure tourism operations. Full article

In the tourism industry, loyalty is a crucial factor that can significantly impact a business’s success and survival. In niche markets such as wine and beer, it is even more relevant, as in Mexico, most businesses are small and medium-sized enterprises. This study aimed to compare the influence of experience and price on tourist loyalty between wine and beer, using a sample of 245 adult tourists in Baja California, Mexico. Structural equation modeling using partial least squares (PLS) was employed for data analysis, utilizing an embedded two-stage approach. It was found that there is no significant difference in the influence of experience and price on loyalty, regardless of the type of beverage being consumed. In both cases, price is the variable that most influences tourist loyalty, although the influence of experience on loyalty is also significant but only for beer. These results enable the development of targeted marketing strategies for regions that focus on gastronomic tourism centered on these types of beverages. In addition to practitioners concentrating on developing a sensory, affective, and behavioral experience for tourists, it is also essential to set an attractive price for the consumer. Full article

Cultural heritage tourism is a vital part of Malaysia’s tourism sector, attracting visitors to iconic UNESCO sites like George Town and Melaka. However, these heritage sites face growing challenges from overcrowding and environmental degradation, which accelerate the deterioration of historic architecture and cultural artifacts. Preservation efforts often require site closures, which negatively impact tourist experiences and satisfaction. Thus, augmented reality (AR) offers a solution by supporting heritage management and preservation, allowing visitors to engage with virtual representations via mobile AR apps, thereby enhancing visitor engagement and travel experience. Despite global adoption, mobile AR apps often suffer from low user retention, with many users abandoning them shortly after downloading them. Understanding what drives continued usage is crucial for successful AR implementation. This study integrates the expectation confirmation model (ECM) and the unified theory of acceptance and use of technology 2 (UTAUT2) to examine the determinants affecting user’s experiential satisfaction and continued usage intention of mobile AR apps. An online survey of 450 domestic tourists in George Town and Melaka was conducted. Data analysis using structural equation modeling with SmartPLS 4.0 revealed that the integrated model offers a stronger predictive power and significantly outperforms ECM and UTAUT2 individually. The findings contribute valuable insights for researchers, app developers, tourism stakeholders, and policymakers. Full article

The present study explores the determinants of tourist satisfaction within the context of wellness tourism in Greece, an emerging segment of the tourism industry that emphasizes holistic well-being. The aim was to assess the overall satisfaction of wellness tourists, identify the relative importance and performance of satisfaction dimensions, and offer insights for service improvement. A structured questionnaire was administered to 487 wellness tourists during the summer of 2024, and the data were analyzed using descriptive statistics and the Multicriteria Satisfaction Analysis (MUSA) method. The results revealed a high overall satisfaction level (90.4%), with physical and spiritual well-being activities contributing most significantly to the satisfaction structure. In contrast, mind well-being activities scored the lowest in satisfaction, despite being rated highly in importance, suggesting a service gap. Improvement analysis indicated that mental and spiritual well-being activities are high-impact, low-effort areas for enhancement. Demographic data further highlighted that wellness tourists are typically young, educated and economically active women. The findings suggest the need for more personalized, holistic offerings and point to the potential integration of wellness and medical tourism services. The study offers practical implications for wellness providers and destination managers and identifies future research directions related to satisfaction dynamics and health-oriented tourism strategies. Full article

In the context of the high development of mobile internet and social media, the social clocking and photographing function of tourism applications has become a key factor to enhance user experience and enhance product competitiveness. Citywalk, as a new way of exploring cities, emphasizes individuality and social interaction by providing a walking experience of the city’s history and culture. This study is based on the Technology Acceptance Model, combined with the Use and Gratification Theory, to systematically explore the core mechanisms that influence user acceptance and continued use of the social check-in and photo-taking function in Citywalk-related applications (app). Firstly, this article analyzes the impact of perceived usefulness and perceived ease of use on user technology adoption through a technology acceptance model. At the same time, the five major needs of use and satisfaction theory (information needs, entertainment needs, social interaction needs, identity confirmation needs, and escapism needs) are introduced as external influencing variables to construct an optimized technology acceptance model. Secondly, based on this theoretical framework, this article proposes relevant research hypotheses and designs a questionnaire for empirical analysis. Reliability analysis, validity analysis, and regression analysis are used to verify the relationship between influencing factors and user behavior. The research results reveal relevant research questions, namely, the core factors influencing users’ use of social check-in and photo-taking functions (RQ1), elucidating the mechanism of technology perception on user satisfaction and willingness to continue using (RQ2), and identifying the acceptance gap between user needs and actual experience in existing feature designs (RQ3). At the same time, this article provides optimization strategies for the Citywalker App (Version 1.0) and similar products to enhance user experience, strengthen social communication effects, and promote market promotion. Ultimately, this study aims to provide theoretical support and practical guidance for the design of tourism social media functions and promote innovative development in related fields. Full article

This study examines the relationships among motivation, satisfaction, place attachment, and revisit intention in the context of ecotourism in the Ayabaca Moorlands, a biodiverse Andean ecosystem of high cultural significance in northern Peru. Using a non-experimental quantitative design, data were collected from 350 national and international visitors and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that while motivation does not directly influence place attachment, it significantly affects satisfaction and revisit intention. Results provide empirical evidence that satisfying experiences foster enduring emotional bonds with environmentally sensitive destinations. The study underscores the importance of tourism management strategies that cultivate emotional connections and visitor loyalty while integrating cultural and contextual factors to ensure the long-term sustainability of high-mountain ecotourism. Full article

Aim: This study extends existing research by focusing specifically on the perceptions of hotel employees, a crucial yet often overlooked group of stakeholders in the adoption of new technologies within the hotel sector. The objective of this research is to investigate the perceptions of hotel employees in Hong Kong regarding the implementation of Metaverse hotels. This study emphasizes their evaluations of the strengths, weaknesses, opportunities, and threats associated with these establishments through a SWOT analysis. Ultimately, the study aims to provide recommendations for addressing technological challenges, supporting employees during the transition, and facilitating adaptation across the industry. Design/Methodology/Approach: A convenience and purposive sampling method is employed to investigate 20 participants, comprising hotel staff from various departments in the Metaverse hotel in Hong Kong. This study adopts a qualitative research design, utilizing semi-structured interviews to gather in-depth insights into the perceptions of the Metaverse hotel among these employees. Purposive sampling ensures that participants have relevant experience and familiarity with VR/AR technologies. Interviews, each lasting 45–60 min, were conducted in person, with informed consent obtained beforehand. Findings: The exploration of hotel employees’ perceptions of Metaverse hotels in Hong Kong underscores the innovative potential of these establishments to enhance operational efficiency and guest engagement, while also offering new training opportunities and streamlining daily tasks. However, employees express concerns about the potential erosion of personal interactions, which are crucial to the hospitality experience, and foresee significant technical and integration challenges. Despite these drawbacks, Metaverse hotels present distinctive opportunities for market differentiation, appealing to tech-savvy guests and generating new revenue streams that contribute to industry growth. Nonetheless, potential threats such as guest skepticism and challenges in industry adaptation highlight the necessity for cautious implementation and robust privacy measures. Balancing these aspects—strengths, weaknesses, opportunities, and threats—will be pivotal for the successful integration of Metaverse technologies into the hotel industry. Theoretical/Practical Implications: Participants recognized that the Metaverse hotel could offer various potential benefits for both employees and businesses, such as enhanced operational efficiencies and new opportunities for guest engagement. Understanding the perceptions of hotel staff towards the Metaverse carries significant real-world implications for shaping policies, practices, and technologies that facilitate its operational success and market acceptance. Leveraging these insights enables the optimization of Metaverse’s advantages while mitigating associated risks and drawbacks. This study advances existing research by focusing specifically on the perceptions of hotel employees, a crucial yet often neglected group of stakeholders in the adoption of new technologies within the hospitality sector. By understanding the perspectives of hotel employees, this research provides valuable insights into the practical challenges and benefits of implementing Metaverse technologies in the hotel industry. Originality/Value: The Metaverse hotel is still relatively new and evolving, making it crucial to conduct research to understand how hotel staff perceive it. However, there is limited research specifically focusing on the perceptions of hotel employees regarding Metaverse hotels. This gap highlights the need for a comprehensive investigation into how employees perceive the strengths, weaknesses, opportunities, and threats of implementing the Metaverse in hotels. Full article

From the 17th century, European leisure travellers sought novel experiences, places and landscapes; they explored them within the context of contemporary, but temporally changing, social norms. Amongst travellers’ earliest motivations were reportage, curiosity and recuperation in managed landscapes. From the late 18th century, images in art galleries and then guidebooks directed leisure travellers into ‘wild’ places. Supporting and part-driving these developments were travel and antiquarian publications. That normalisation of ‘wild places’ exploration coincided with natural history’s popularisation. From the early 19th century, geosites were recognised, scientifically described, and popularised through a range of publications; this marked the beginning of geotourism. This can be contextualised within the rise in resort-based coastal tourism. These various themes are explored in relation to ‘Coastal Southern England’, an important tourism region from the early-18th century. By the Great War’s (1914–1918) close, its tourism patterns and nature, recognisable in present-day offerings, were established. Its development as a geotourism region can be conceptualised through the ‘travellers’ gaze’ and ‘adapted comfort zone’ models. Early geotourism literature and artistic representations, along with their creators’ biographies, could underpin modern geo-interpretation, of which some exemplars are given. General conclusions are drawn and future research suggested. Full article

In response to increasing global sustainability demands, this study examines how green dynamic capabilities influence business performance in Bali Island’s tour and travel SMEs, with green service innovation as a mediating mechanism. Drawing on the resource-based view (RBV) and dynamic capability theory, the research adopts a quantitative approach using survey data from 387 SMEs and employs structural equation modeling (SEM) to analyze the relationships among green dynamic capabilities, green service innovation, and business performance. Findings reveal that green dynamic capabilities significantly enhance both green service innovation and business performance. Notably, green service innovation partially mediates this relationship, underscoring its pivotal role in transforming internal sustainability-oriented capabilities into tangible performance outcomes. The key contribution of this study lies in extending RBV by integrating green service innovation as a strategic conduit that links eco-centric capabilities to competitive advantage in a tourism SME context—a perspective that remains underexplored in emerging economies. Practically, the study provides actionable insights for SME owners and policymakers to prioritize innovation in service design and delivery as a pathway to sustainable tourism performance. Full article

This study examines the determinants of environmentally responsible behavior among tourists in the heritage villages of Paveh County, Iran, through an integrated theoretical framework that synthesizes place-related psychological constructs with the Theory of Planned Behavior (TPB). Employing structural equation modeling on data collected from 443 tourists across three heritage villages (July–November 2024), the investigation tested comparative theoretical models with differing explanatory capacities. The baseline TPB model confirmed significant positive effects of environmental attitudes (β = 0.388), environmental norms (β = 0.398), and perceived behavioral control (β = 0.547) on behavioral intentions, which subsequently influenced environmental behavior (β = 0.561). The extended model incorporating place-related variables demonstrated enhanced explanatory power, with the R² values increasing from 48.2% to 52.7% for behavioral intentions and from 49.2% to 54.7% for actual behavior. Notably, place identity exhibited dual psychological functions: moderating the intention–behavior relationship (β = 0.155) and mediating between place attachment and environmental behavior (β = 0.163). These findings advance sustainable tourism theory by illuminating the complex pathways through which place-based psychological connections influence environmental behavior formation in heritage contexts, suggesting that more sophisticated theoretical frameworks are required for understanding and promoting sustainable practices in culturally significant destinations. Full article

This study integrates Expectation–Confirmation Theory (ECT) and the existing literature on service failure to propose a novel service gaps model. This model categorizes service gaps into three dimensions: Gap 1—the service delivery system gap; Gap 2—the customer needs and requests gap; and Gap 3—the unprompted and unsolicited service behaviors gap. This study examines the effects of these service gaps and recovery satisfaction on repurchase intention, as well as the moderating role of service recovery in the relationship between recovery satisfaction and repurchase intention. Based on the findings, this study offers practical recommendations to address service gaps, enhance recovery satisfaction, and ultimately improve customers’ repurchase intentions in the restaurant industry. Full article