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The purpose of this study is to conduct a thematic content analysis of facial emotion recognition (FER) research within the context of the hospitality and tourism industry. Through this analysis, the study aims to identify key themes, trends and implications of the utilization of FER technology in enhancing customer emotions and experiences within hospitality and tourism settings.

This is qualitative research that utilizes thematic content analysis. The research data were obtained from the Scopus database. A total of 45 articles (titles, abstracts and keywords) were coded into MAXQDA and VOSWiever programs for data analyses and mapping.

Based on the analyses, the predominant term used in titles was emotion, indicating its centrality in the research domain. Moreover, the most prevalent concepts in this field were emotion and experience. Notably, facial emotion recognition emerged as the most frequently utilized term within this context. Within the hospitality and tourism industry, FER was primarily employed within the travel sub-branch. Finally, the research culminated in the visualization of the theoretical framework and conceptual background, offering a comprehensive overview of the field.

There is a growing demand for using FER technology specifically within the hospitality and tourism industry context; therefore, growing scientific research has been conducted on this topic recently. By conducting a thematic content analysis, this study uncovered novel insights into the utilization of this technology to enhance customer emotions and experiences, thereby contributing to a deeper understanding of its potential implications and applications within the hospitality and tourism industry.

Literature shows that the antecedents of eWoM have received limited attention and the present scales used for measuring eWoM in the hospitality and tourism industry are outdated. Therefore, this study aims to construct a new scale for the generation of positive eWoM in the hospitality and tourism industry.

This study developed a novel scale on eWoM based on the four dimensions of the unified theory of acceptance and use of technology.

The exploratory and confirmatory factor analysis confirms the factorial structure of the new scale. The exploratory factor analysis shows that “performance expectancy” has the highest impact on the constitution of positive eWoM with 8 items, followed by “social influence” and “facilitation condition” with 5 items each. The factor “effort expectancy” is found to have the lowest impact on the constitution of positive eWoM in the hospitality and tourism industry with 3 items. The confirmatory factor analysis in terms of the construct reliability, average variance extracted and maximum shared variance tests confirmed the model validity of the new scale.

This study ensures measuring eWoM with the latest norms that will assist in prudent policy formulation. These results insights into policymakers from the hospitality and tourism industry for the generation of positive eWoM towards their business which will help them achieve better customer loyalty.

This study aims to present the evolution of decent work studies. Findings point to several directions for future research efforts, including conceptualizing decent work and the pandemic’s associated impact. Results will help to guide government authorities to promote decent work by delivering fair income, increasing the stability and security of employment and monitoring employees’ work-life balance.

This review consists of knowledge mapping based on keywords from multidisciplinary studies on decent work and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) model on tourism and hospitality studies. First, keyword knowledge mapping was conducted in VOSviewer, resulting in 667 papers. Then, a PRISMA model generated a systematic review of the literature in tourism and hospitality based on 41 papers.

Knowledge mapping revealed six thematic clusters, namely, Labor Rights and Gender Equality, Sustainability and Health, Psychology of Working Theory, Conceptualization of Decent Work, Marginalized Groups and Unemployment and Job Quality. According to the PRISMA model, the conceptual evolution of decent work in tourism and hospitality can be divided into three stages: initial (1999–2008), emerging (2009–2018) and development (2019–present).

Based on the findings, further interdisciplinary research into decent work is recommended. Scholars in the tourism and hospitality sector can incorporate other fields of decent work, such as psychology, to broaden the lens of studies to discover the role of meaning and purpose in the workplace and to promote the concept to its fullest extent. Furthermore, employees’ assessments of decent work might help businesses improve human resources management via corporate social responsibility measures.

To the best of the authors’ knowledge, this study is the first systematic review of decent work in tourism and hospitality. It shows that this notion is in its infancy, as most studies on the topic thus far have been empirical and descriptive. Nonetheless, most findings contribute to knowledge and practice by clarifying industry employment conditions.

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 aims to offer an overview of hospitality and tourism research on artificial intelligence (AI) and its impact on the industry. More specifically, this study examines hospitality and tourism AI research trends in hospitality and tourism customer service experience creation and delivery, service failure and recovery, human resources and organizational behavior. Based on the review, this study identifies the challenges and opportunities and provides directions for future studies.

A narrative synthesis approach was used to review the hospitality and tourism research on AI and its impact on various aspects of the industry.

AI and AI applications in customer service experience creation and delivery and its possible effects on employees and organizations are viewed as a double-edged sword. Although the use of AI and AI applications offers various benefits, there are also serious concerns over the ethical use of AI, the replacement of human employees by AI-powered devices, discomfort among customers and employees and trust toward AI.

The paper offers an updated holistic overview of AI and its implications in different facets of the hospitality and tourism industry. Challenges and opportunities are discussed to foster future discussions on the use of AI among scholars and industry professionals.

The purpose of this study is to develop research questions and explore industry expert perceptions related to the process of transformative changes in post-COVID-19 gastronomy and wine tourism.

To achieve this purpose, the authors applied individual and collective brainwriting techniques using the digital whiteboard, Mural. The research questions were answered within Mural's Sailboat template, which helped industry experts describe four situational areas and their symbolic elements. These included transformative change – the island, strategies – the wind, challenges – the anchors and strengths – the coral. The exploration was conducted across interpersonal, organisational and intra-destination levels.

This study results yielded a know-how framework that synthesised the insights of industry experts. The framework underscores the importance of a sequential approach to embrace transformative change to mindsets, practices and systems. It also advocates strategies (new leadership style, business solutions and community empowerment), potential challenges (self-doubt, established organisational culture and inertia within large systems) and leveraging industry strengths (personality traits, human resources and organisational interdependence) to effectively navigate the evolving gastronomy and wine tourism environment.

This paper represents a pioneering effort in assessing the key areas in the gastronomy and wine business and drawing parallels to the essential levels of transformation required to effectively cope with upcoming uncertainties.

本研究的目的是提出研究问题并探讨行业专家对新冠肺炎 (COVID-19) 后美食和葡萄酒旅游变革过程的看法。

为了实现这一目的, 作者利用数字白板、壁画应用了个人和集体的脑力书写技术。 研究问题在 Mural 的帆船模板中得到了解答, 该模板帮助行业专家描述了四个情景区域及其象征元素。 其中包括变革 – 岛屿、策略 - 风、挑战 - 锚点和优势 - 珊瑚。 探索是在人际、组织和目的地内部层面进行的。

研究结果产生了一个综合了行业专家见解的专业知识框架。 该框架强调了采用顺序方法来拥抱思维方式、实践和系统变革的重要性。 它还倡导战略（新的领导风格、业务解决方案和社区赋权）、潜在的挑战（自我怀疑、既定的组织文化和大型系统内的惰性）, 并利用行业优势（个性特征、人力资源、组织相互依赖）来 有效驾驭不断变化的美食和葡萄酒旅游环境。

本文代表了通过了解有效应对新的不确定性所需的转型水平来评估美食和葡萄酒行业关键形势领域的开创性努力。

La finalidad de este estudio fue desarrollar preguntas de investigación y explorar las percepciones de los expertos de la industria relacionadas con el proceso de cambios transformadores en la gastronomía y el enoturismo post-COVID-19.

Para lograr este objetivo, los autores aplicaron técnicas de escritura de ideas individuales y colectivas utilizando la pizarra digital Mural. Las preguntas de investigación fueron respondidas dentro de la plantilla Sailboat de Mural, que ayudó a los expertos de la industria a describir cuatro áreas situacionales y sus elementos simbólicos. Estos incluían cambios transformadores (la isla), estrategias (el viento), desafíos (las anclas) y fortalezas (el coral). La exploración se llevó a cabo a nivel interpersonal, organizacional e intradestino.

Los resultados de la investigación generaron un marco de conocimientos que sintetizó los conocimientos de los expertos de la industria. El marco subraya la importancia de un enfoque secuencial para adoptar cambios transformadores en mentalidades, prácticas y sistemas. También aboga por estrategias (nuevo estilo de liderazgo, soluciones empresariales y empoderamiento de la comunidad), desafíos potenciales (inseguridad, cultura organizacional establecida e inercia dentro de grandes sistemas) y aprovechar las fortalezas de la industria (rasgos de personalidad, recursos humanos, interdependencia organizacional) para navegar eficazmente en el cambiante entorno de la gastronomía y el enoturismo.

este artículo representa un esfuerzo pionero en la evaluación de áreas situacionales clave en los negocios de la gastronomía y enología al comprender los niveles de transformación necesarios para hacer frente de manera efectiva a las nuevas incertidumbres.

Fuzzy-set qualitative comparative analysis (fsQCA) is explored as a transformative tool rooted in complexity theory, shedding light on uncertainties shaping real-world decisions in tourism, with a focus on its application in the hospitality domain.

This study systematically evaluates fsQCA’s application in hospitality and tourism research, employing bibliometric analysis to scrutinize the published literature since its induction in 2011. The research seeks to understand the evolving usage by qualitatively reviewing impactful studies based on total citations.

The study reveals the ascendancy of fsQCA as a predominant approach in hospitality and tourism studies, particularly in illuminating decision-making paradigms in key sectors like destination and hotel selections and entrepreneurial orientations. However, an absence of fsQCA applications in gastronomy and wine tourism is identified, signaling uncharted territories for future inquiry.

Theoretical implications include paradigm shifts to complexity theory, configural analysis and asymmetric algorithms. Practical implications involve improved decision-making and tailored marketing, benefiting industry practitioners. Limitations include potential academic bias, while future research suggests exploring sub-sectors, sustainability and emerging technologies.

This study identifies gaps in the fsQCA application and pioneers its examination within the hospitality domain, offering a unique perspective on understanding intricate relationships and configurations among variables. The study emphasizes the efficacy of asymmetric methodologies in elucidating behavioral nuances in hospitality and tourism, providing a foundation for future inquiries to expand horizons and unravel the nuanced applications of fsQCA in this research domain.

By adopting a cultural lens, this study aims to conceptualize destination-community hospitality to capture societal hospitality at the destination as an intangible asset. Destination-community hospitality comprises a set of attitudes and traits that are organically conveyed by community members and directly experienced by tourists. The paper contributes to efforts aimed at freeing hospitality from the confines of commercial lodging and food and beverage establishments.

This study proposes an affection–attention–awareness (AAA) framework by drawing on the pertinent literature and leveraging the affective–behavioral–cognitive model of attitudinal change. It focuses on the effects of cognition in conceptualizing destination-community hospitality as the core of the framework. Methodologically, the framework is illustrated with qualitative data including observational fieldwork and interviews conducted in Iran.

Illustration of the AAA framework in the context of Iran highlights how welcoming attitudes are leveraged at a destination as an ingrained community mindset even in the absence of formal initiatives or professional training. It underscores the hospitality advocacy role of local-community members irrespective of public-sector policy and capacity deficiencies.

Destinations that strive to attract tourists should tap into the significant wealth of intuitive hospitality within communities as an intangible resource. The ingenuity should be preserved to sustainably enhance the overall tourist experiences. The framework can serve as a guide to strategically facilitate destination-community hospitality.

Research on community-wide hospitality at destinations, as a major cultural asset in the context of strategic hospitality management, remains underdeveloped. With illustrative evidence, the findings elevate the critical role of community members as innate advocates of hospitality in developing destinations. The proposed framework of destination-community hospitality provides a new perspective and impetus for investigating hospitality beyond commercial domains.

This study aims to examine the impact of COVID-19 on tourism and hospitality small and medium-sized enterprises (SMEs) in an emerging country located in Latin America and identifies service innovation strategies adopted by these firms to survive a prolonged crisis.

A qualitative investigation was conducted drawing on a framework of imposed service innovation. Data were obtained from in-depth interviews with owners/managers of 20 SMEs in the hospitality and tourism sector in Chile.

Findings show that the effect of COVID-19 on SMEs includes a decline in demand due to lockdowns and restrictions, with minimal government support. Tourism and hospitality SMEs developed different service innovation strategies to confront the crisis, and several businesses were even able to exploit new opportunities for future growth.

The effect of COVID-19 and SMEs' service innovation strategies to confront a prolonged crisis is a topic that is largely unexplored, particularly in the tourism and hospitality sector. The findings contribute to the literature on emerging markets, crisis management and SME innovation in tourism and hospitality. The findings provide managerial implications for SME managers, governments and policymakers.

Artificial intelligence is one of the most significant and active fields of study in the last few years. Artificial intelligence-derived robotic technologies known as chatbots are gaining interest from both academic and industry sectors. By analyzing the development and patterns of research on the chatbot phenomena within the tourism field, this study seeks to develop a theoretical framework for the interaction between chatbots and tourism.

The Web of Science (WoS) database’s 33 articles on chatbots related to travel and hospitality were examined between 2019 and 2024 using VOSviewer software for bibliometric and thematic content analysis.

Research on chatbots for tourism and hospitality appears to be in its early stages. The factors influencing tourists' intentions to use chatbots have been thoroughly researched; the attitudes, perceptions and behavioral intentions of destinations, travel agencies and restaurant patrons regarding chatbots were examined, and it was found that the quantitative research approach was dominant. In addition, the majority of the studies are based on a particular theory or model.

This is one of the first attempts to directly comprehend and depict the interconnected structures of studies on the interaction between chatbots and tourism through the use of network analysis. Furthermore, the study’s findings can offer academics a comprehensive viewpoint and a reference manual for more accurate assessment and oversight of the chatbot-tourism interaction. Regarding the lack of research on the topic and the fragmented structure of the studies that exist, it is imperative to provide both a comprehensive overview and a roadmap for future investigations into the usage of chatbots in the travel and hospitality sector.