International Journal of Tourism Research最新文献

This study investigated the importance of information quality of guide robots in the field of airports. Data were collected from 326 travelers who had experience receiving information from service robots at airports. The results indicated that among the four dimensions of information quality, such as contextual quality, accessibility quality, representational quality, and intrinsic quality, accessibility quality and intrinsic quality had a positive influence on the intention to use. In addition, the results showed that there were statistical differences in gender and the level of education in intrinsic quality and contextual quality, with males generally higher than females and high school showing the most substantial differentiation among education levels.

Likability bias leads people to favor likable objects and tolerate their failures. Improving service robot likability is viewed as a promising strategy to combat the inevitable service failure caused by immature robot technology. However, this study argued that such bias does not always hold in robot service failure. From the cognitive appraisal perspective, this study proposed a contingency model of robot likability, examining the interaction of travelers' psychological ownership and failure severity through four experiments using video-vignette and textual scenarios. Results show that travelers' psychological ownership and failure severity weaken the positive effects of robot likability on service failure tolerance. More importantly, robot likability plays a negative role when both factors are high. This study revealed the contingency factors of likability bias in robot service failures that enrich cognitive appraisal theory and psychological ownership theory. It also offers managerial implications for effectively deploying likable robots in tourism and hospitality.

This study examines how Generation Z's terminal and instrumental values, shaped by emotional attachment to nature, influence their environmentally responsible travel behaviors (ERTB) in India. Drawing on the Value-Belief-Norm (VBN) theory and employing the Rokeach Value Survey, the research examines how value orientations and emotional factors, particularly love for nature, motivate sustainable travel choices. Data were collected through an online questionnaire administered in collaboration with two major airlines, yielding 318 valid responses from Gen Z travelers. Structural Equation Modeling (SEM) was used to test the proposed relationships. The findings led to the development of the Gen Z Value–Emotion Travel Model, which extends VBN theory by incorporating emotional dimensions and aligning it with the environmental ethos of Generation Z. The study offers practical insights for the tourism industry, suggesting strategies that resonate with Gen Z's value-driven and emotionally grounded motivations for sustainable travel.

This study examines how features of official destination promotional videos (DPVs) shape customer engagement (CE) on social media. Using 5037 Instagram videos from 54 US national parks, we apply machine learning and computer vision to extract video content, visual features, multimodal cues (text, audio, thumbnails), and post metadata. LightGBM with SHAP analyses shows that thumbnail–video contrasts, color coherence, and emotional cues significantly influence CE. Simpler, familiar content drives passive engagement (likes), whereas emotionally resonant, high-aesthetic content fosters active engagement (comments). Beyond method, this study contributes a dual-pathway theoretical framework that integrates cognitive load, elaboration likelihood, and media richness theories to explain how multimodal features jointly shape CE. Practical implications highlight balancing content simplicity and depth, ensuring visual and emotional consistency, and optimizing posting strategies. Overall, this research advances destination marketing by providing a scalable and theory-informed framework for analyzing social media videos.

This study aims to explore the nature and effectiveness of the virtual experience of restaurant operations for metaverse Roblox users using qualitative research methods. Applying a qualitative phenomenological method, data were collected from 20 participants until the theoretical concept reached saturation. The findings indicate that participants gained immersive insights into restaurant management decision-making and operations through simulated experience. They recognized differences between theory, virtual simulation, and real-world practice. In addition, it was confirmed that the virtual experience of restaurant operations provides indirect and emotional experiences. This study theoretically contributes to hospitality education by revealing how immersive virtual platforms such as the metaverse can shape students' perceptions of decision-making. It extends experiential learning theory by capturing how learners engage with the gap between theoretical instruction and virtual business practice. Practically, it is supporting the integration of simulation-based platforms like Roblox into hospitality curricula as effective tools for fostering management.

Online travel agencies (OTAs) have significantly enhanced the efficiency of online travel services. However, frequent service failures have adversely impacted the reputation and performance of OTAs. Consequently, there is an urgent need for further academic exploration of this issue. This study employed a scenario experimental method to collect data and conduct empirical analysis. The findings indicated that perceived fairness enhances consumer empathy, while perceived risk reduces consumer empathy. Enhanced consumer empathy, in turn, leads to a greater willingness to forgive. Furthermore, negative emotions contagion negatively moderates the relationship between consumer empathy and consumer forgiveness. The mediating effect of consumer empathy was also examined. This study contributed to a deeper understanding of service failure and recovery in the context of OTAs, offering theoretical insights for improving OTA failure management strategies, psychological interventions, risk prevention capabilities, and overall competitiveness.

The pursuit of a health-oriented lifestyle, globally known as seeking wellness, is rapidly growing in all communities. The origins of wellness are ancient, but in terms of tourism studies, research on wellness tourism began in the 1990s. This study aims to make future-oriented research suggestions for the rapidly growing field of wellness tourism. In this study, we propose a conceptual model for interdisciplinary research through a review of the existing literature. Models for wellness tourism research based on interdisciplinary integration can be developed by examining health-related models and theories from various academic fields, incorporating complexity theory and interdisciplinary approach theory. The contribution of this paper is an increased understanding of the concept of interdisciplinary and integrative research, which can make research on wellness tourism more professional.

This study examines the psychological mechanisms through which travel constraints discourage parents of young children from engaging in family tourism. Four types of constraints are examined as triggers of demotivation that foster travel avoidance and suppress intention. To capture both average effects and indispensable prerequisites, Partial Least Squares Structural Equation Modeling (PLS-SEM) and Necessary Condition Analysis (NCA) are used for data analysis. Findings reveal that PLS-SEM and NCA elicit distinct but complementary results, showing constraints as both psychological drivers and non-compensatory prerequisites. These results advance constraint theory by differentiating drivers from gatekeeping prerequisites and highlight the need for targeted strategies that address psychological and relational barriers to restore parental motivation for family travel.

Unlike standardized hotels B&Bs not only provide customers with lodging services but also serve as a space for them to relax or to satisfy their pursuit of emotional experience, and so on. The present study was conducted to more fully understand B&Bs' psychological impact on their attitude and loyalty from the perspective of tourists' image congruity and perceived value. A valid sample of 609 respondents obtained by convenience sampling was analysed using PLS-SEM. The results show that, except for the association between self-image congruity and customer attitude, all hypothesized relationships among the research variables are confirmed. Moreover, the impact of customers' age was verified as moderating the association between customers' image congruity and perceived value. Collectively, a research paradigm for future research is provided and its implications for industry development are fully discussed.