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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received limited attention and the present scales used for measuring eWoM in the hospitality and tourism industry are outdated.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.

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.

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.

Considering the transition of communicational channels from physical to digital spaces, this study aims to provide a theoretical foundation for understanding engagement in electronic word of mouth (eWoM) among managers and customers in the hospitality and tourism industry.

This study uses the four aggregate dimensions, namely, performance expectancy, efforts expectancy, social influence and facilitations condition. Further, this paper uses the 14 second-order themes of the Unified Theory of Acceptance and Use of Technology with a data set that represents elements that can trigger eWoM, both from managers’ and customers’ perspectives. The process of data structuration follows thematic analysis and axial coding techniques.

The results of this study show that performance expectancy, facilitation conditions, social influence and effort expectancy all trigger positive eWoM generation in the hospitality and tourism industry indicating customers’ and managers’ perspectives.

This novel study provides a theoretical foundation and novel propositions for future research work on the role of novel antecedents that can trigger eWoM in the hospitality and tourism industry. This paper also provides a benchmark for practitioners and policymakers in their strategic decisions-making towards improving business performance through positive eWoM.

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.

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 technology acceptance model (TAM) is a widely used framework explaining why users accept new technologies. Still, its relevance is questioned because of evolving consumer behavior, demographics and technology. Contrary to a research paper or systematic literature review, the purpose of this critical reflection paper is to discuss TAM's relevance and limitations in hospitality and tourism research.

This paper uses a critical reflective approach, enabling a comprehensive review and synthesis of recent academic literature on TAM. The critical evaluation encompasses its historical trajectory, evolutionary growth, identified limitations and, more specifically, its relevance in the context of hospitality and tourism research.

TAM's limitations within the hospitality and tourism context revolve around its individual-centric perspective, limited scope, static nature, cultural applicability and reliance on self-reported measures.

To optimize TAM's efficacy, the authors propose several strategic recommendations. These include embedding TAM within the specific context of the industry, delving into TAM-driven artificial intelligence adoption, integrating industry-specific factors, acknowledging cultural nuances and using comprehensive research methods, such as mixed methods approach. It is imperative for researchers to critically assess TAM's suitability for their studies and be open to exploring alternative models or methods that can adeptly navigate the distinctive dynamics of the industry.

This critical reflection paper prompts a profound exploration of technology adoption within the dynamic hospitality and tourism sector, makes insightful inquiries into TAM's future potential and presents recommendations.

The Arab world has witnessed a remarkable surge in the growth of its tourism and hospitality (T&H) industry, positioning it as a vital cornerstone for sustainable development. However, an exclusive bibliometric analysis of T&H research contributed by the Arab world has not yet been conducted in the past 30 years, that is, 1993–2022. Therefore, the purpose of this study is to provide a first-of-its-kind bibliometric assessment and visualization of T&H research produced by the Arab world spanning from 1993 to 2022.

A comprehensive collection of 1,327 scientific publications related to T&H research contributed by the Arab world was acquired from the Web of Science Core Collection database. To perform a large-scale bibliometric analysis, encompassing performance analysis, science mapping and network analysis, this study used state-of-the-art analytical tools, namely, Bibliometrix package of R Studio and VOSviewer.

The findings of this study show that the Arab world’s research on T&H has significantly surged since COVID-19, contributing nearly half (50.56%) of the total literature in the T&H domain between 2020 and 2022. Elshaer IA (Suez Canal University, Egypt) emerged as the most productive author, while Nusair K (Sultan Qaboos University, Oman) was identified as the most impactful author in the T&H domain in the Arab world. The most productive journal was found to be Sustainability (MDPI), while Tourism Management (Elsevier) was identified as the most impactful journal in the field of T&H. Furthermore, the thematic analysis highlights that research themes in T&H are not static but rather constantly evolving in response to dynamic changes in the industry, such as emerging trends, shifts in tourist preferences and the impact of global events like the COVID-19 pandemic.

To the best of the authors’ knowledge, this is the first bibliometric analysis of T&H research contributed by the Arab world, specifically covering the period from 1993 to 2022. This study's findings can inform the development of strategies and policies for the sustainable and competitive growth of the T&H industry in the Arab world. This study highlights the importance of continued research and collaboration among industry professionals, academics and policymakers to promote innovation and drive positive change in the T&H sector in the Arab world.

阿拉伯世界已经目睹了其旅游和酒店（T&H）行业增长的显著激增, 将其定位为可持续发展的重要基石。然而, 在过去30年中, 即1993年至2022年, 尚未进行关于阿拉伯世界贡献的T&H研究的专属文献计量分析。因此, 这项研究代表了提供阿拉伯世界自1993年至2022年间T&H研究的首创性文献计量评估和可视化的先驱努力。

从Web of Science核心合集数据库收集了1327篇与阿拉伯世界贡献的T&H研究相关的科研论文。为进行大规模的计量分析, 包括性能分析、科学映射和网络分析, 我们采用了先进的分析工具, 即R Studio的Bibliometrix软件包和VOSviewer。

研究结果显示, 自COVID-19以来, 阿拉伯世界对T&H的研究显著增加, 占2020年至2022年期间发表文献总数的近一半（50.56%）。关键词分析揭示了阿拉伯世界T&H领域的当前研究热点, 包括“旅游”、 “影响”、“满意度”、“管理”、“酒店业”、“绩效”、“决定因素”、“感知”、“忠诚度”、“质量”和“顾客满意度”。然而, 阿拉伯世界的T&H学者和从业者需要进一步研究一些研究空白, 包括“器官移植旅游”、“伦理领导”、“消费者感知”、“生态足迹”、“员工参与”、“爱彼迎”、“目的地营销”、“顾客不文明行为”、“可持续旅游发展”和“环境可持续性”等主题。主题分析突显了T&H领域的研究主题不断随行业动态变化而不断演化, 如新兴趋势、游客偏好变化以及全球事件如COVID-19大流行的影响。

据我们所知, 这是首次对阿拉伯世界贡献的T&H研究进行的计量分析, 特别涵盖了1993年至2022年的时期。研究结果可为阿拉伯世界T&H行业可持续和竞争性增长的战略和政策提供信息。这项研究强调了继续研究和行业专业人员、学者和政策制定者之间的合作的重要性, 以促进创新并推动阿拉伯世界T&H行业的积极变革。

El mundo árabe ha presenciado un notable aumento en el crecimiento de su industria de turismo y hostelería (T&H), posicionándola como una piedra angular vital para el desarrollo sostenible. Sin embargo, aún no se ha realizado un análisis bibliométrico exclusivo de la investigación en T&H realizada por el mundo árabe en los últimos 30 años, es decir, de 1993 a 2022. Por lo tanto, este estudio se erige como el esfuerzo pionero en proporcionar una evaluación bibliométrica y visualización sin precedentes de la investigación en T&H producida por el mundo árabe desde 1993 hasta 2022.

Se recogieron 1327 publicaciones científicas relativas a la investigación en T&H elaboradas por el mundo árabe, a partir de la base de datos Web of Science Core Collection. Para llevar a cabo un análisis bibliométrico a gran escala que abarcara el análisis de rendimiento, el mapeo científico y el análisis de redes, se emplearon herramientas analíticas de última generación, como el paquete Bibliometrix de R Studio y VOSviewer.

Los resultados muestran que la investigación del mundo árabe en T&H ha aumentado significativamente desde la COVID-19, representando casi la mitad (50.56%) de la literatura total publicada entre 2020 y 2022. El análisis de palabras clave reveló que “turismo,” “impacto,” “satisfacción,” “gestion,” “hospitalidad,” “rendimiento,” “determinantes,” “percepción,” “lealtad,” “calidad” y “satisfacción del cliente” son los temas de investigación actuales más destacados en T&H en el mundo árabe. Sin embargo, existen varias lagunas de investigación que requieren una investigación adicional por parte de académicos y profesionales de T&H en el mundo árabe, incluyendo temas como “turismo de trasplante,” “liderazgo ético,” “percepción del consumidor,” “huella ecológica,” “compromiso de los empleados,” “Airbnb,” “marketing de destinos,” “incivilidad del cliente,” “desarrollo de turismo sostenible,” y “sostenibilidad ambiental.” El análisis temático destaca que los temas de investigación en T&H evolucionan constantemente en respuesta a cambios dinámicos en la industria, como tendencias emergentes, cambios en las preferencias de los turistas y el impacto de eventos globales como la pandemia de COVID-19.

Hasta dónde llega nuestro conocimiento, este es el primer estudio bibliométrico de la investigación en T&H realizada por el mundo árabe, cubriendo específicamente el período de 1993 a 2022. Los hallazgos del estudio pueden desplegar el desarrollo de estrategias y políticas para el crecimiento sostenible y competitivo de la industria de T&H en el mundo árabe. Este estudio resalta la importancia de la investigación continua y la colaboración entre profesionales de la industria, académicos y responsables políticos para promover la innovación y generar un cambio positivo en el sector de T&H en el mundo árabe.

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.