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This study aims to deepen the understanding of consumer engagement and satisfaction within the health and wellness tourism sector, a rapidly growing niche in the global tourism industry. It focuses on identifying key elements that influence consumer perceptions and experiences in this domain.

Employing a quantitative approach, this research utilizes Dynamic Correlated Topic Models (DCTM) and sentiment analysis techniques to analyze user-generated content from TripAdvisor. The methodology involves parsing through extensive online reviews to extract thematic patterns and emotional sentiments related to various wellness tourism experiences.

The findings reveal that wellness and relaxation, spa and therapy services, and cultural immersion are significant factors influencing consumer satisfaction in health and wellness tourism. These elements contribute to a more profound and emotionally satisfying tourist experience, highlighting the shift from traditional tourism to more holistic, wellness-focused travel.

The study is limited by its focus on user-generated content from a single platform, which may not fully represent the diverse range of consumer experiences in health and wellness tourism. Future research could expand to include other platforms and cross-reference with qualitative data.

The study offers valuable implications for destination managers and marketers in the health and wellness tourism industry, suggesting that enhancing and promoting wellness-centric experiences can significantly improve consumer satisfaction and engagement.

The research underscores the growing importance of health and wellness in societal values, reflecting a shift in consumer preferences towards travel experiences that offer mental, physical, and spiritual benefits. This has broader implications for how destinations can cater to the evolving demands of socially conscious travelers.

This research contributes original insights into the evolving field of health and wellness tourism by integrating advanced text mining techniques to analyze consumer feedback, offering a novel perspective on what drives engagement and satisfaction in this sector.

This study aims to identify motivations for visiting Kyoto's prominent religious attractions using latent Dirichlet allocation (LDA) text analysis of online reviews; establish linkages between push motivational factors and pull factors of the religious sites, forming distinct tourist typologies; and suggest strategies for Kyoto's destination marketing based on the findings.

This study analyzed 37,772 TripAdvisor reviews for Kyoto's top 25 religious sites from the pre-pandemic period (March 2020). LDA topic modeling extracts 18 underlying thematic dimensions from the review texts. Axial coding of these dimensions revealed five distinct tourist motivation typologies.

Five motivation typologies emerged: cultural seekers drawn to Japan's unique heritage, nature lovers attracted by scenic landscapes, chrono-seasonal experiencers seeking distinct seasonal views, crowd-avoiders prioritizing less congested visits and city wanderers engaging in local activities.

The findings offer valuable guidance for destination marketers and managers in Kyoto, enabling the development of targeted strategies to enhance visitor experiences and manage overcrowding at popular religious sites.

This research provides novel insights into nonreligious tourists' motivations for visiting religious sites in a crowded destination. By identifying distinct motivation-based tourist typologies, the study informs strategies for enhancing visitor experiences tailored to diverse needs, contributing to tourism literature and practical destination management.

The hospitality and tourism industry is strongly influenced by new and immersive technologies, such as augmented reality (AR), to enhance customer experiences across a diverse set of touchpoints throughout the visitor journey. This paper aims to provide a holistic understanding of AR marketing for this industry context, present a number of fundamental premises of AR marketing within it and establish an agenda for future AR research.

This study reviews current literature on AR marketing, hospitality and tourism and industry use cases for the creation of a proposed conceptual framework to guide scholars and managers. Based on that, the authors propose fundamental premises.

The three fundamental premises of AR marketing presented are the need to clearly differentiate between AR and virtual reality within hospitality and tourism; the use of AR for the on-trip experience; and the combined focus on content, context, customer and computing devices for a successful strategic implementation of AR.

This study serves as a first point of reference for the strategic integration of AR into hospitality and tourism marketing, both from an industry and academic point of view.

The authors provide a number of managerial recommendations based on our three fundamental premises.

To the best of the authors’ knowledge, this study is one of the first to holistically characterize AR marketing in the hospitality and tourism context. It also highlights the fundamental premises of successful AR marketing and future directions of AR research today and in a spatial computing future.

This study aims to examine the use of the metaverse in tourism and hospitality to comprehend better how the technology might shape customer journey management, especially relative to information provision, experiences and customer benefits.

This explanatory research used a two-stage approach of media analysis and practitioner interviews to analyse the interactions among tourism information provision, customer experiences and customer benefits in the metaverse. It conceptualized and mapped the consumer journey of the emerging metaverse experience, focusing on the ideas and practices of metaverse design pioneers in tourism and hospitality.

Based on the media analysis and interviews with 27 designers, the metaverse – information – experiences – benefits (MIEB) model was proposed, containing three parts (information characteristics, customer experiences and customer benefits) and 31 supporting items grouped into nine components.

One of the unique contributions of this research is the MIEB model for applying the metaverse in customer journey management (pre-, during- and post-trip). The findings contribute to the current literature with this model based on the practical perspectives of metaverse designers and provide insights on how to incorporate the MIEB model in applying the metaverse in tourism and hospitality management. The findings also address existing literature gaps of insufficient research on metaverse management and design through all stages of the customer travel journey and by paying attention to stakeholders’ viewpoints, including the media and designers of metaverse applications. Engaging in semi-structured interviews with pioneers of the metaverse to gain insights into the design of tourism experiences was also different from other metaverse tourism research, although this is not claimed as a significant point of innovation.

“Omotenashi” has become a buzzword denoting the Japanese ethic for excellence in customer care. However, while there is an emerging body of research on the spirit of the provider side, nevertheless, the customer care experiences from the beneficiary perspective – especially the dynamics that manifest when such care fails – remain undercommented. Thus, the purpose of this paper is to identify critical dynamics of how unexpected thorny disharmony might manifest in instances of customer care failure, with a focus on customer service and intercultural lived experiences. In doing so it challenges a prevailing and dominant view of flawless Japanese customer care – Omotenashi.

Drawing on a multi-disciplinary approach the current research proposes a conceptual model and uses autoethnography to offer insights at the individual level unit of analysis.

The findings break ground towards innovative understanding of customer care failure dynamics, by considering intercultural situations.

By express design and paradigm, the research is limited to subjective interpretivism. The paper offers important implications for understanding customer beneficiary experience, especially to nuance and challenge the current hegemonic view of the positive nature of Japanese “Omotenashi” customer care in extant literature.

The findings have important practical implications for customer care managers. The paper aims to prompt a pause for thought, a warning of a drift towards organizational self-satisfaction and back slapping in relation to customer care and makes a call for a return to consider the holistic customer experience in the Japanese and inter-cultural contexts.

It can be argued that there appears to be a tendency in some quarters to massage and manipulate broader society by pointing to the positive. However, marketing scholars are aware that raising customer expectations in this way can magnify backlash when disconfirmation occurs. This study lends support to the notion that there may be a need to temper expectations and hype in customer relation contexts. This is predicated on the observation that individual – and, therefore, beneficiary – experience is unique, that uniqueness may be accentuated in intercultural situations.

The paper nuances the general positively portrayed aspects of Omotenashi by curating insights into when care fails. It addresses the paucity of lived experience accounts of the beneficiary experience of Japanese Omotenashi care in intercultural situations.

The purpose of this study is to explore the paranormal tourist experience on ghost tours, taking into account the participants’ perceptions and their prior knowledge of the paranormal, in order to determine the principal components of the future of paranormal tourist experience.

The study is divided into two phases. The first phase is based on participant observation during a ghost tour. The second phase is based on a previously published framework for paranormal tourism. It introduces a qualitative adaptation of the orchestra model to look in-depth at how experiences with paranormal tours might shape the future of tourism as a major subtype.

Paranormal tourism has external (situational-enchantment, historical, mystical, ghostly and unsolved mysteries) and internal (affective, cognitive, sensory, behavior and relationship) components that are inter-linked. Future paranormal tourist experiences (FPTEs) must be focused on enhancing these aspects in order to offer an immersive experience.

Consequently, this paper proposes the FPTE model.

Building upon the cognition-affect-behavior (CAB) model and script theory, this research aims to enrich the existing literature on historic town tourism consumption by offering empirical evidence of how the cognitive and affective images of historic towns contributes to tourists' memorable tourism experiences (MTE) and revisit intention, while identifying the cognitive image dimensions that are relevant for evaluating historic towns.

An on-site survey was conducted with 486 local tourists who visited the historic towns in Chengdu. partial least squares-structural equation modeling (PLS-SEM) was utilized to assess both the measurement and structural models.

(1) Cognitive image emerged as a significant predictor of affective image; (2) Both cognitive image and affective image had a positive influence on MTE, in which cognitive image played a more dominant role in shaping MTE; (3) MTE was found to strongly predict revisit intention among tourists; (4) MTE and affective image mediated the relationship between cognitive image and revisit intention.

This research highlights the value of incorporating cognitive and affective constructs in predicting MTE, and the proposed integrated framework of the CAB model and script theory exhibits superior predictive power in understanding tourists' revisit intention.

This research provides empirical insights about how historic towns improve their marketing strategies as short day-trip destinations.

This research provides a novel insight on the applicability of an integrated model combining the CAB model and script theory in explaining the revisit behavior of local tourists within the context of historic towns.

The Metaverse is rapidly reshaping the understanding of tourism, yet the public perception of this new domain remains largely uncharted empirically. This paper aims to build on the technology acceptance model (TAM) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors.

Using a big-data approach, the authors applied machine learning to scrape comments made by social media users on recent popular posts or videos related to tourism in the Metaverse from three prominent social media platforms. The cleaning process narrowed down 15,461 comments to 2,650, which were then analysed using thematic, emotion and sentiment analysis techniques.

The thematic analysis revealed that virtual tourism evokes a complex range of public beliefs. While many express awe and excitement toward its immersive capabilities, others remain sceptical about authenticity compared to physical travel. Additional themes show people draw comparisons to real-world tourism, discuss technology’s role and note educational value and novelty. However, some comments raise concerns about potential societal harms, exploitation and mental health impacts. Sentiment analysis found over half of the comments positive, though some were negative. Emotion analysis showed contentment, happiness and excitement as most frequent, though sadness, worry and loneliness also featured. Overall, perceptions of Metaverse tourism encompass enthusiasm yet substantial ambivalence.

To the best of the authors’ knowledge, this study is one of the first to comprehensively analyse public discussions on Metaverse tourism. It takes TAM and Rogers’s DIT a step further and provides fresh insights into how these theories can be employed in the emerging field of Metaverse tourism. The themes revealed new conceptual insights into multidimensional factors shaping public beliefs about Metaverse tourism and thus informing scholarly research on virtual interaction and technology acceptance regarding Metaverse tourism. In addition, the results can help tourism providers, platforms and marketers address salient public beliefs and sentiments/attitudes in developing marketing offerings, experiences and communications. Over time, this analysis methodology can be used to track the evolving public perceptions of Metaverse tourism.

This paper aims to investigate the relationships between key mediators, namely, Muslim-friendly context and the intention of tourists to revisit edu-tourism destinations in Terengganu.

The study engages tourists and visitors who have explored seven distinct edu-tourism destinations, with a total sample size of 384 participants. Data analysis is conducted using the Statistical Package for the Social Sciences and Analysis of Moment Structures for structural equation modeling.

Findings indicate that Muslim-friendly does not mediate the relationship between tourism operators, events and investment concerning tourists revisiting Terengganu. However, it plays a significant mediating role between local communities, educational institutions and tourism organizations.

Despite valuable insights, limitations arose due to a lack of Terengganu-specific literature on Muslim-friendliness in edu-tourism, leading to reliance on studies about Sharia-compliant hotels, the broader tourism industry and Islamic tourism.

The thriving halal tourism industry’s growth has heightened awareness of Muslim-friendly destinations, like Terengganu. The state actively promotes diverse halal services for Muslim travelers, encouraging operators to prioritize Sharia-compliant facilities. Strategic marketing and government support for Sharia-compliant edu-tourism investments aim at fostering economic growth and ensuring sustainability.

Social implications stress the need for inclusivity and cultural sensitivity in Terengganu’s tourism. Prioritizing Muslim-friendly services not only boosts economic growth but also fosters an inclusive and welcoming environment for diverse travelers. Government support for Sharia-compliant edu-tourism investments aligns development with cultural and religious values, promoting a harmonious and inclusive society.

This research explores Terengganu’s innovative edu-tourism approach, prioritizing Muslim-friendly services for diverse travelers. By emphasizing Sharia-compliant facilities and investments, the region aims to foster economic growth and create an inclusive cultural environment.

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

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

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

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

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