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The purpose of this study is to explore how past and future temporal focus of CEOs in the hospitality industry influence their intention to invest in metaverse technology and the underlying mechanism under boundary conditions of perceived competitive pressure.

This multi-informant study collected data over three waves from a sample of 235 CEOs and their subordinates in India’s hospitality industry. A PLS-SEM was applied to the study data. Further, the study also used phenomenological interviews to capture CEOs’ perspectives on the study’s conceptual model.

Findings suggest that the past temporal focus of CEOs decreases technology orientation, and future temporal focus increases the technology orientation of firms, consequently impacting the intention to invest in the metaverse. CEOs’ perceived competitive pressure moderates the mediating relationship, such that the negative impact of past temporal focus on technology orientation is decreased and that of future temporal focus on the CEO is increased.

By exploring the role of a CEO’s past and future temporal focus on influencing technology orientation and, hence, adoption of new technology, the study extends upper-echelon theory to the field of metaverse adoption in the hospitality industry and responds to scholars’ calls to explore the industry’s technology adoption from the lens of the upper echelon.

The study has significant implications for the success of the adoption of metaverse technology in the hospitality industry. Findings imply that the board members should encourage CEOs to have future temporal focus.

The study provides novel insights into the adoption of metaverse technology by the hospitality industry, where CEO attributes such as their temporal focus influence intention to invest in metaverse.

Because of the COVID-19, the digital transformation of global hospitality and tourism speeds up. This paper aims to provide comprehensive frame of the digital transformation for further hospitality and tourism research.

Through conducting a critical review of the impact of COVID-19, the current situation about the application of digital technology and digital transformation in hospitality and travel, this study used a qualitative approach to present the viewpoints.

This research presents a theoretical research framework for the hospitality and tourism about digital transformation, including possible directions, contexts and methods. It highlights the importance of digital transformation, and further proposing specific research topics.

This research brings valuable implications and guidance for future research from the aspects of key research streams, research context and methodological approaches in hospitality and tourism about digital transformation.

This paper supplies existing critical reviewed research through paying attention to the digital transformation approach in hospitality and tourism, providing research guidance technically to the industry of hotels and travel.

The purpose of this study is, first, to determine which developments have shaped official hotel classification systems over recent years (including the impact of guest-review platforms) and second to establish the future of those systems through the eyes of the people who are actually in charge of operating them.

Semi-structured interviews were chosen as the most suitable method for approaching hotel classification system administrators. This method is in line with previous research on approaching key informants in their respective fields. Sixteen people representing 12 different official national hotel classification systems from across the world as well as one commercial hotel star rating system participated in the online interviews.

The first main conclusion is that hotel classification systems – especially voluntary ones – would not have survived the enormous impact of guest-review platforms without quickly adjusting to the ever-changing hotel industry landscape. The frequent review of classification criteria and procedures has become the main survival strategy of classification systems. The second conclusion is that system operators are strongly optimistic about the future outlook of hotel classification based on their proven flexibility to swiftly adapt to new market conditions.

Research about hotel classification systems is usually based on the views of the systems' users, i.e. hotels or hotel guests, whereas the present paper reflects the perspective of the systems' operators, an angle rarely analyzed in the literature.

The purpose of this paper is to better understand the future of hotel chains by exploring the evolving expectations of guests, potential innovations, emerging opportunities, and likely future scenarios.

A literature review consisting of current events, industry reports, and recent trends is utilized to summarize and categorize the challenges and opportunities facing hotel chains.

The future of hotel chains will be driven by the convergence of an increasingly competitive landscape, along with a diverse evolving customer base seeking out unique and individualized experiences. In order to survive in the future hotel chains will have to: listen to and learn from guests incorporating big data insights, go beyond segments to provide personalized services, continuously develop the brand through signature experiences, utilize collaboration and open innovation to maintain an edge in technology and service, and through total revenue management generate ancillary revenues and maximize guest spend.

This paper provides a comprehensive set of recommendations to hotel chains highlighting opportunities related to: financing, revenue generation, personalization, and co-creation.

The main purpose of the study is to reveal the hotel managers' perspectives strategies, and predictions on smart technologies, and their expectations for current staff and potential staff to be employed in the future.

A qualitative research approach was used to reveal the internal perspectives of managers to determine their Smart Tourism (ST) perspectives. With the snowball sampling method, face-to-face interviews were conducted with 16 senior hotel managers working in a 5-star hotel in Antalya. The data obtained were carried out with inductive content analysis and descriptive analysis from qualitative research analysis methods.

In this study, hotel managers' broad perspectives on ST were discussed in depth and presented comprehensively. Managers' perceptions of smart technologies are classified in terms of aggregate dimensions and themes. Among the most important findings, rapidity/quickness, managing/holistic assessment, standardization, harmony/integration-coordination and experience-memory, defined as the crossroads of total dimensions or the heart of smart technologies, were identified as the most important themes. In addition, Stylos et al. (2021), another important finding is the classification of technologies used in top-quality hotels, based on the conceptual framework for smart technologies presented in the literature.

The effective and efficient use of technology, its internalization and openness to technology provides important advantages in hotels such as increasing revisits and satisfaction, providing loyalty and reducing costs. Thus, the perceptions, practices, strategies and prediction of senior managers working in high-level hotels about ST provide valuable data to other hotels that want to survive in the competition.

From a theoretical point of view, this study is valuable in that it deals with the ST perceptions of senior managers with an exploratory research approach. Managerially, the research findings offer valuable contribution about the attitudes, trends, forecasts and expectations of senior managers working in high-level hotels towards ST.

Using the Delphi technique, this paper aims to investigate how human resource experts perceive service robots will impact leadership and human resource management in the hospitality industry.

A three-stage Delphi study with hotel industry human resource experts was conducted to identify the key trends and major challenges that will emerge in the next ten years and how leaders should deal with the challenges brought about by service robot technologies.

The results show that while service robots are anticipated to increase efficiency and productivity of hotel activities, they may also pose challenges such as high costs, skill deficits and significant changes to the organizational structure and culture of hotels. Therefore, the anticipated applications and integration of robotic technology will require leaders of the future to carefully consider the balance between the roles of service robots and human employees in the guest experience and to nurture a work environment that embraces open-mindedness and change.

This is the first type of study to examine hospitality leadership and human resource management in the context of robotized hotels. This study has taken an important step to understand the leadership role in robotized hotels from a human resource perspective and brings clarity as to how robotic technology can influence leadership in the future workplace.

This study aims to provide a comprehensive review of hotel demand forecasting to identify its key fundamentals and evolution and future research directions and trends to advance the field.

Articles on hotel demand modeling and forecasting were identified and rigorously selected using transparent inclusion and exclusion criteria. A final sample of 85 empirical studies was obtained for comprehensive analysis through content analysis.

Synthesis of the literature highlights that hotel forecasting based on historical demand data dominates the research, and reservation/cancellation data and combined data gradually attracted research attention in recent years. In terms of model evolution, time series and AI-based models are the most popular models for hotel demand forecasting. Review results show that numerous studies focused on hybrid models and AI-based models.

To the best of the authors’ knowledge, this study is the first systematic review of the literature on hotel demand forecasting from the perspective of data source and methodological development and indicates future research directions.

本研究旨在对酒店需求预测进行全面回顾, 以确定其关键基础和演变以及未来的研究方向和趋势, 以推动该领域的发展。

使用严格和透明的纳入和排除的标准对酒店需求建模和预测的文章进行识别和选择。通过内容分析, 最终有 85个实证研究作为综合分析的样本。

综合文献发现, 基于历史需求数据的酒店预测在研究中占主导地位, 近年来预订/取消数据和组合数据逐渐引起研究关注。在模型演化方面, 时间序列和基于人工智能的模型是最受欢迎的酒店需求预测模型。审查结果表明, 许多研究都集中在混合模型和基于 AI 的模型上。

本研究是第一次从数据源和方法发展的角度对酒店需求预测文献进行系统回顾, 并指出未来的研究方向。

Este estudio tiene como objetivo proporcionar una revisión amplia de la previsión sobre la demanda hotelera a la hora de identificar sus fundamentos clave, la evolución y las direcciones y tendencias de investigación futuras para avanzar en el campo de estudio.

Se identificaron y seleccionaron de forma rigurosa artículos sobre modelado y previsión de la demanda hotelera utilizando criterios transparentes de inclusión y exclusión. Se obtuvo una muestra final de 85 estudios empíricos para su análisis integral a través del análisis de contenido.

La síntesis de la literatura destaca que la previsión hotelera basada en datos históricos de demanda ha dominado la investigación, y los datos de reserva/cancelación, así como los datos combinados han atraído gradualmente en los últimos años la atención de la investigación. En términos de evolución del modelo, las series temporales y los modelos basados en IA son los modelos más populares para la previsión de la demanda hotelera. Los resultados de la revisión muestran que numerosos estudios se han centrado en modelos híbridos y basados en IA.

Este estudio es la primera revisión sistemática de la literatura sobre la previsión de la demanda hotelera desde la perspectiva de la fuente de datos y el desarrollo metodológico e indica futuras líneas de investigación.

The purpose of this paper is to provide an insight in the future of hotel rating. It reviews the impact of social media, technology that provides integration of data for the consumer and the hotels, and the way that rating bodies may respond to the changing environment on how hotels are selected and reviewed.

By reviewing current trends, practices and technological possibilities, the impact of online reviews on conventional hotel rating systems is projected into the future.

The paper predicts a full integration of conventional rating systems with online guest reviews from the different guest review platforms leading to greater transparency for the consumer and better positioning opportunities for innovative hotels. It is further predicted that those conventional rating systems that do not seek integration and alignment will see a continued drop in hotel participation and will cease to exist.

Little research has been done on the relation between online guest reviews and conventional hotel rating systems. The paper presents new insights into how current and future trends influence the way in which consumers select hotels and how this influences the way that hotels are rated.

Academic research on customer experience (CX) in the hospitality industry has recently experienced vast growth as managers have increasingly focused on delivering distinctive experiences to their guests. Despite the relevance of this topic, studies conducted in this area within the hotel context are scarce and dispersed. This paper aims to classify the main academic studies and to present a definition of hotel CX, a conceptual model, emerging trends and future research gaps.

A systematic literature review (SLR) was selected as the research methodology. Adapted from preferred reporting items of SLR and meta-analysis statements, this study entailed an in-depth review of 46 articles published in English between 2006 and 2021. The articles were compiled using keyword searches in Scopus and Web of Science.

This study facilitates an understanding of the hotel CX. The conceptual framework derived from the SLR includes the entire set of antecedents, consequences, mediators and moderators of this concept. The results also illustrate the topic’s academic evolution and expose major guidelines that can help determine areas for future research.

This study adds value to the hospitality research literature via SLR. The framework of CX in the hotel industry synthesizes the existing knowledge on this topic and identifies research gaps. The proposed framework allows for the improvement of future hotel CX studies.

Many researchers have attempted to outline the effects of the coronavirus (COVID-19) pandemic on the growth of economies across the world. Few researchers consider addressing the COVID-19 pandemic as a crisis that needs effective crisis management measures. In particular, there is a gap in research that maps a way forward that managers can use as a guide to recover and revive the hospitality industry after the pandemic. This paper aims to fill this gap.

Data were collected through interviews with 26 hoteliers managing 4- and 5-star hotels in the city of Beirut. Data were analyzed using thematic analysis.

Findings show that the level of preparedness toward dealing with such a pandemic had been low. Hotels have been focused on ensuring transparency with the employees, providing adequate information and decentralizing power to the departmental levels to deal with the impacts of COVID-19. Operationally, hotel managers are shifting focus toward more safety-conscious operations across all departments; emphasizing the importance of local tourists rather than complete dependence on foreigners as a source of revenue; increasing flexibility in bookings and cancellations to incentivize customers. Shifts are expected to be made, making operations in hotels more technologically-aligned and focused.

The aim of this study is to address the managerial reactions of the hotel industry during the COVID-19 pandemic crisis and the potential strategic approaches that hotels might adopt in the future. A focus on the Lebanese context can provide scholars with a new model and inform managers on how to approach a crisis of such nature and magnitude, especially in a country that is facing its worst political and economic crisis. The main challenge of this paper is that it examines the hotel industry only in the Lebanese context. The development of the hospitality sector cannot be studied outside the institutional context in which it operates.

This paper fulfills an identified need to study to which extent hotel managers were prepared to deal with a crisis the size of a global pandemic, what shifts in strategies were implemented and what is the future of the hospitality industry?