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The purpose of this study is to provide an overview of the research conducted on hospitality and tourism articles published in Q1 category journals from 1990 to 2023. This study also aims to measure the topic prevalence in selected journals throughout the years, their change over time and similarities of journals.

Latent dirichlet allocation algorithm is used as a topic modeling method to identify and analyze topics in hospitality and tourism research over the past 30 years.

The results of the study indicate that hospitality and tourism research has recently focused on topics such as employee behavior, customer satisfaction, online reviews, medical tourism and tourist experience. However, the results also indicate a negative trend in topics such as hotel management, sustainability, profession, economic growth and tourist destination.

This study can be used to examine the evolution of research patterns over time, find hot and cold themes and uncover untapped or understudied areas. This can aid academics in their investigations and practitioners in making sound strategic decisions.

This study contributes to the existing literature by providing a new approach and comprehensive analysis of hospitality and tourism research topics. It delineates an overview of the progression of hospitality and tourism research over the past 30 years, identifies the trending topics and explores the potential impacts that these identified topics may have on future studies.

This study examines the mediating role of motivation on outdoor recreation on the attitude–behavior and social marketing–behavior linkages. The paper scrutinizes the moderating impact of coronavirus disease 2019 (COVID-19) risk perception in transforming individual motivation on nature-based outdoor recreation into environmentally responsible behavior.

Data were collected and conducted in Vietnamese National Parks. The dataset consists of 900 valid responses by domestic travelers. The research was operationalized using empirical data and employed structural equation modeling (SEM) and SPSS PROCESS analysis.

First, this study confirms that outdoor recreation activities and business's marketing on social networks tend to transform into support for individual behavior in terms of protecting environment and having responsibility for environment. Second, the current paper also represents the academic efforts to contribute to outdoor recreation literature by explaining the current global problem that has caused serious upheaval in global society as well as individual life. The findings not only confirmed the mediating role of nature-based outdoor recreation motivation between attitude and behavior, but also examined the moderating effect of COVID-19 risk perception in the relationship between motivation and behavior.

The findings indicate the significant association of social marketing, environment attitudes, outdoor recreation motivation and environmentally responsible behavior. The findings not only confirmed the mediating role of nature-based outdoor recreation motivation between attitude and behavior, but also examined the moderating effect of COVID-19 risk perception in the relationship between motivation and behavior. These results provide key insights about examining visitors' behavior for environment protection during future infectious disease outbreaks.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

Hotel servicescapes have been extensively examined in the literature; however, there has been less attention on green servicescapes that attract consumers to visit green hotels. This model explores the relationship among green servicescapes – green items, green surfaces, natural environment, green consumerism and their outcomes, including intentions to return and green evangelism with a moderating role of green perceived quality.

The multi-wave method was utilized to gather data from China's major cities, Beijing and Shanghai. A total of 462 responses were received over three waves. Subsequently, the data were analyzed employing structural equation modeling (SEM) in Smart PLS 4.

The findings indicated that green servicescape – green items, green surfaces and natural environment – have a positive impact on green consumerism. The authors have discovered that green consumerism leads to positive intentions among consumers to return and engage in green evangelism. Green perceived quality significantly moderated the relationship between green servicescape and green consumerism.

The study offers insightful contributions to academia and managerial fields, encompassing consumer psychology, consumer behaviour, the stimulus-organism-response (SOR) framework and servicescapes. Additionally, it assists hotel managers in addressing challenges stemming from the competitive environment and creating a more environmentally friendly atmosphere.

The research focused on the innovative reflective model of green consumerism model and adopted a pioneering approach to examine green servicescapes within the hotel industry. This study enhances understanding of consumer intentions to return and the influence of green consumerism on green evangelism, while also quantifying the significance of green perceived quality.

The paper has a twofold purpose: (1) to test the application of means-end theory to providers of hospitality goods and services, and (2) to explore this question in the context of winery tasting rooms when they had a unique opportunity to restructure their hospitality experience due to government restrictions in response to COVID.

A qualitative approach was adopted, and a convenience sample was used to conduct semi-structured laddering interviews. Forty interview transcripts were coded as means-end ladders, which were analyzed using a custom computer program to develop the implication matrix and the hierarchical value map.

This paper demonstrates that means-end is a useful approach to investigate the values and behaviors of the producer, specifically hospitality hosts. It finds that the principal goal of tasting rooms is to generate sales, and offering a compelling guest experience is the characteristic that contributes the most to achieving that goal. The staff and the atmosphere created for the guests are the two factors with the greatest influence on the guest experience.

This is the first paper to use means-end theory to study the hospitality host, or the producer of goods and services in general, and the first to study winery hospitality primarily through the lens of means-end theory. The study also helps fill a gap in research on tasting room sales focused on the winery’s goals.

The purpose of this paper is to investigate the opportunities of development of the accommodation establishments by accepting the current shifting in travellers' needs and the possibilities of reducing the impact on nature.

The Drucker's approach is used to investigate the opportunities of development for the accommodation establishments. The case study method is used to confirm the possibility to develop hospitality in a discovered way.

Accommodation establishments located in the natural space can supply the nature-based accommodation services simultaneously providing the eco-friendly activities. On the other side, the accommodation establishment that is not located in the natural space can also accept the provision of nature-based accommodation services as an opportunity for development.

The current shift in the guests' needs prompts accommodation establishments to enlarge supplying of the nature-based services. However, if these services are supplied by hospitality facilities located in natural space, the threats to nature also grow. On the other hand, if the hospitality infrastructure is not located in natural space, hoteliers accept current needs of guests as threats to their business. The paper presents the possibility of solution of this contradiction and shows the opportunities for moving forward in the field of environmental sustainability in the hospitality industry.

The focus of this research is to investigate if user-generated content (UGC) generated in the Booking platform can support quality management improvement within the hospitality industry by increasing customer satisfaction and eliminating defects more efficiently. Hence, it contributes to understanding how data-driven companies can rely on customer data to focus on innovation and performance improvement to meet customer requirements, eliminate defects and increase customer satisfaction.

Following the literature review, information was collected from the digital platform Booking, encompassing 15 hotel industry companies in Portugal Porto and Braga regions, selected due to their high number of customer reviews. This data was organized and categorized, eliminating all unnecessary information for the research and building an Excel database. The database was subsequently analysed with SPSS and Voyant software, performing statistical analysis, hypothesis testing and text-mining techniques to analyse the comments. After these analyses, applying quality tools allowed for more in-depth conclusions.

The research results highlight that customers' most relevant requirements in the Portuguese hospitality industry are breakfast, parking and a swimming pool. It was also possible to realize that the location is an attractive requirement, the bathroom is a must-be requirement and breakfast is a performance requirement. The results also allowed us to answer the most critical research question: “Is user-generated content a valuable aid to quality?” the answer is yes since it was possible to use the data to find improvements and faults/failures in the services.

The results of this study represent an essential step towards a complete understanding of how to take advantage of UGC within the hospitality industry by establishing a solid base of techniques, methods and quality tools for UGC analysis that can be applied in future research on different industry sectors.

This study aimed to identify both visitors’ and residents’ general wine consumer typology as well as their typology specific to a wine destination, Florida, and investigated the influences of these typologies on consumer motivation to visit a winery in Florida and their motivations’ influences on their satisfaction with the winery visit and loyalty in the way of likelihood to revisit.

Two studies were conducted to identify the wine consumer typology and its influences, one with residents of a wine destination and one with its visitors. In both studies, the same cross-sectional survey design was conducted. The survey was designed using the survey design tools of Qualtrics.

Study results showed similar general wine consumer typology for both visitors and residents but slight differences in the destination-specific wine consumer typology. Results also revealed differences in the influences of these typologies on motivation, with different influences on satisfaction and loyalty for the two segments.

Even though consumer typologies have been discussed in tourism destination decision-making and choice, consumer typology in wine destination consumption has been lacking in the literature. To the best of the authors’ knowledge, this is the first study to identify both visitors’ and residents’ general wine consumer typology as well as their typology specific to a wine destination, Florida, and to investigate the influences of these typologies on consumer motivation to visit a winery in Florida and their motivations’ influences on their satisfaction with the winery visit and likelihood to revisit.

此文章通过两项研究来探讨葡萄酒消费者类型及其影响, 一项针对葡萄酒目的地的居民, 另一项针对其游客。这两项研究采用了设计相同的调查问卷, 该调查问卷的设计使用了 Qualtrics 的调查设计工具。

该研究旨在归纳游客和居民的葡萄酒消费者类型以及他们在佛罗里达州葡萄酒目的地的特定类型, 并调查了这些类型对消费者参观佛罗里达州酒庄的动机的影响以及他们的动机对其满意度和再次参观酒庄意愿的影响。

研究结果显示, 游客和居民的葡萄酒消费者类型相似, 但特定目的地的葡萄酒消费者类型略有不同。 结果还揭示了这些类型对动机的影响存在差异, 对游客和居民的满意度和忠诚度的影响也不同。

尽管文献已经讨论了旅游目的地决策和选择背景下的消费者类型, 有关葡萄酒目的地消费的消费者类型的研究却相对缺乏。此文章旨在发掘游客和居民的葡萄酒消费者类型以及佛罗里达州葡萄酒目的地特有的消费者类型, 并调查这些类型对消费者参观佛罗里达州酒庄动机的影响以及此动机对酒庄参观的满意度和再次参观的可能性的影响。

Se realizaron dos estudios para identificar la Tipología del Consumidor de Vino y sus influencias, uno con residentes de un destino enoturístico y otro con sus visitantes. En ambos estudios se llevó a cabo el mismo diseño de encuesta transversal. La encuesta se diseñó utilizando las herramientas de diseño de encuestas de Qualtrics.

El estudio identificó la tipología general del consumidor de vino tanto de los visitantes, como de los residentes, así como su tipología específica para un destino vinícola, como el de Florida, e investigó las influencias de estas tipologías en la motivación del consumidor para visitar una bodega en Florida y las influencias de sus motivaciones en su satisfacción con la visita a la bodega y la probabilidad de volver a visitarla

Los resultados del estudio mostraron una tipología general del consumidor de vino similar tanto para los visitantes, como para los residentes, pero ligeras diferencias en la tipología del consumidor de vino específica del destino. Los resultados también revelaron diferencias en las influencias de estas tipologías sobre la motivación, con distintas influencias sobre la satisfacción y la fidelidad para los dos segmentos.

Aunque se ha hablado de tipologías de consumidores en la toma de decisiones y la elección de destinos turísticos, la tipología de consumidores en el consumo de destinos vinícolas ha estado ausente en la literatura. Éste es el primer estudio que identifica tanto la tipología general del consumidor de vino de los visitantes y residentes como su tipología específica para un destino vinícola como el de Florida, e investiga las influencias de estas tipologías en la motivación del consumidor para visitar una bodega en Florida y las influencias de sus motivaciones en su satisfacción con la visita a la bodega y la probabilidad de volver a visitarla.

This study aims to discuss the current context, scope and impacts of a metaverse in the hospitality and tourism industry. Although existing literature discussed the potentials of the metaverse in this context, the ways the metaverse work is still being defined and accessing a complete metaverse is still not yet possible. This existing knowledge will become increasingly sophisticated and complex as developments in the metaverse continue, eventually contributing to a knowledge gap in knowledge, and its implications in shaping how the future digital environment should take form.

This work is based on a critical reflection of the existing developments and applications of the metaverse. Drawing from authors’ experiences, and synthesis of existing works and narratives, this work discusses the applications of the metaverse, critical factors for considerations and applications of the metaverse and proposes the way forward for potential users.

The metaverse provides new opportunities for the hospitality and tourism industry but the impact of the technology may not be felt immediately. The real challenge lies in developing a responsible digital environment for users and suppliers. Although the aspects to be considered are many, a lack of preparedness is a great obstacle.

This paper provides a comprehensive evaluation of how the metaverse can be applied in the hospitality and tourism sector aiming to provide diverse stakeholders insights into the associated opportunities and pitfalls.

To the best of the authors’ knowledge, this paper is among the first attempts to critically reflect on the possibilities of the metaverse, and contributes to the discussion on the attributes of the metaverse for tourism and hospitality (e.g. SSIs, decentralization) and includes discussion on special needs users, sustainable usage and climate change, and presents several agendas for further actions.

Past research often relies on linear relationship assumptions from the perspective of managers when studying the relationship between attribute performance and satisfaction. However, this study extracts tourists’ online reviews to explore asymmetric relationships and identifies island tourism satisfiers, hybrids and dissatisfiers.

The research uses 3,523 reviews from Tripadvisor to examine Langkawi Island’s tourist satisfaction. Latent Dirichlet allocation (LDA) machine-learning approach, penalty–reward contrast analysis and asymmetric impact-performance analysis (AIPA) were employed to extract and analyse the data.

Langkawi’s dissatisfiers included “hotel and restaurant”, “beach leisure”, “water sport”, “snorkelling”, “commanding view”, “waterfall”, “sky bridge walk”, “animal show”, “animal feeding”, “history culture”, “village activity” and “duty-free mall”. Amongst these, five were low performers. Hybrids encompassed “ticket purchasing”, “amenity” “traditional food market” and “gift and souvenir”, all of which were low performers. Only one attribute was categorised as a satisfier: “nature view” which performed exceptionally well.

This study provides recommendations to enhance tourist satisfaction and address tourist dissatisfaction. The elements requiring immediate attention for enhancement are the five low-performance dissatisfiers, as they represent tourists’ fundamental expectations. Conversely, the satisfier or excitement factor (i.e. nature views – mangroves and wildlife) could be prominently featured in promotional materials.

This research constitutes an early endeavour to categorise attributes of island tourism into groups of satisfaction, hybrid or dissatisfaction based on user-generated data. It is underpinned by two-factor and three-factor theories.