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Technological innovation has been changing the tourism industry precipitously and making the holiday experience more enjoyable and easier than before. The purpose of this study is to identify the current and future changes by the machine learning (ML) system as artificial intelligence in the hospitality industry.

This study has a descriptive research approach because building knowledge on technology and applying this knowledge to a tourism research are still new extensions in social studies, especially in tourism.

This research shows the value of using ML in the quality of data, features and algorithms besides stating the difficulties of data analysis in hospitality. This research also provides a comparison of automated ML techniques and the use of a robot for customer services in the hotel.

This research contributes to the tourism and technology literature by shedding light on the use of ML in tourism advancement to predict future business conditions, revenue, challenges and also to identify the current trend of tourist demand.

This study aims to extend the technology acceptance model (TAM) to examine whether the introduction of robots influences employees’ behavioral intentions to use robots and awareness of robots to promote human–robot collaboration (HRC). Besides, the role of strategic human resource management (HRM) involvement as a moderator in the perception of robots as a team member was investigated.

Data were collected from 500 respondents via the Amazon Mechanical Turk platform. After data cleaning, 329 valid responses were analyzed. Partial least squares structural equation modeling was applied using Smart PLS Ver. 3.0 to test the study’s measurement and proposed research model.

The study results show that robots’ perceived usefulness and ease of use positively influence employees’ behavioral intentions to use robots. In addition, the advantages and disadvantages of robots have a positive impact on robot awareness. Employees’ behavioral intentions and awareness contribute positively to HRC. On the other hand, the moderating role of strategic human resources (HR’s) involvement in the relationships was insignificant.

This study provides an exclusively applied understanding of robot presence and embodiment relevant to real-world HRC. In the travel, tourism and hospitality (TTH) industry, employees’ intention to use robots and robot awareness are significant factors. However, HRM involvement without the acceptance of robots could not enhance HRC.

Based on the literature review, to the best of the authors’ knowledge, this study is one of the first on this topic and extends TAM with new antecedents related to robot use, robot awareness and HRC in the TTH industry. In addition, this model attempts to determine the factors that favor HRC in the industry. This study also assessed the moderating role of strategic HR’s involvement in the behavioral intention of robot use, robot awareness and HRC.

由于高科技领域的快速扩张, 机器人成为旅行、旅游和酒店业的传统。因此, 本文旨在研究是否机器人的采用会影响员工的离职意愿和人机协作和人力资源管理在激励员工与机器人团队合作方面的作用。

本研究采用定量方法。总共 500本研究的数据是通过 MTurk 平台收集, 但其中, （n = 329）是最终确定样本量, 并应用基于偏最小二乘的结构方程模型（PLS-SEM）使用 Smart PLS Ver. 3 检验研究的测量和关系模型

该研究的结果确定了机器人的有用性和易用性人机协作对员工行为意向的积极影响, 除此之外, 机器人的优势和劣势尽管对意识产生积极影响, 但员工的意识不影响人机协作。以及 HRM 战略参与的角色对员工意愿的影响并不充分且积极。

这项研究对员工的机器人的使用意图和人力资源管理在机器人采用和激励决策中的员工进行协作提供了应用性的理解。意识是对员工离职的一项动态担忧; 因此, 人力资源管理应该确保采用机器人对员工有帮助

这是第一项有条不紊地研究人力资源管理在旅行、旅游和酒店研究中的人机协作。这项研究对员工重要性以及先进的旅游技术进行了传播。

Intention to re-participate in co-creation (IRCC) is an essential indication of customers to their deal proneness. Therefore, this study aims to focus on the role of trust in the relationship between tourists’ motivation for IRCC activities and the perceived service outputs in the tourism research.

This study applies a quantitative method approach to achieve perceptions into this unfamiliar phenomenon of IRCC. A total of 305 valid questionnaires were collected from October 10 to October 30, 2020 in Istanbul, then analyzed with covariance-based structural equation modeling using the linear structural relations (LISREL) software package.

The findings of the study showed that the tourists’ IRCC is categorized under four factors: learning benefit, social interaction benefit, hedonic benefit and financial benefit. In the context of IRCC, organizational trust partially mediates the relationship between tourist intention and deal proneness motivation for IRRC.

The scope of research was limited to domestic tourists visiting Istanbul. Research must be conducted on tourists visiting other destinations and who differ in terms of cultural features to make assessments on a larger scale. Furthermore, when considering that co-creation is the consequence of the collaboration between the business and the customers, researching businesses’ initiatives based on promoting the participation in co-creation will make a contribution both for the managers and to the literature to formalize the co-creation process. In addition, social networks are one of the main platforms where tourists motivation to participate in co-creation, but tourists can both create and destroy value on social media regarding the businesses and touristic experience. In this respect, future research should analyze tourists’ motivation elements that urge them to co-create and co-destroy value on social networks, contributing to understanding and evaluating the co-creation process in all aspects.

In contrast with prior research, this study offers a model that integrates the antecedents and consequences of the IRCC process. In this perception, insight tourist motivational factors to IRCC activities provides a path for tourism businesses to strategically manage their activities. This study mostly uncovers the role of organizational trust positively in effect the re-participation.

IRCC is an issue that should be evaluated with its antecedents and outputs. In the literature, several studies evaluate co-creation outputs but research on antecedents promoting IRCC is limited. In this study, the antecedents (motivation to re-participate) and outputs of co-creation (trust and perceived benefit) are evaluated together.

应用量化分析方法研究再参与共创这一不熟悉的现象。2020年10月10日−30日在土耳其搜集了305份调查问卷。使用LISREL软件, 通过协方差结构方程模型（CB-SEM）进行分析。

再参与共创（IRCC）的意向是了解顾客交易倾向的重要标志。本文聚焦信任在游客再参与共创活动的动机与旅游研究方面的服务产出的关系之间所扮演的角色。

研究成果表明游客再参与共创的意向分为四个因素：1. 学习收益; 2. 社会互动收益; 3. 享乐收益 4. 财务收益。组织信任一定程度上调解了对于再参与共创的意向而言游客意向和交易倾向之间的关系。

本研究的范围仅限于访问伊斯坦布尔的国内游客。未来研究需对到访其他目的地、文化特征不同的游客进行研究, 以进行更大范围的评估。此外, 当考虑到共创是企业与客户合作的结果时, 研究企业在促进共创参与的基础上的举措将有助于管理者和学者将共创过程具体化。此外, 社交网络是游客 MPCC 的主要平台之一, 但游客可以在社交媒体上创造和破坏关于商业和旅游体验的价值。在这方面, 未来的研究应该分析游客在社交网络上共创和共毁价值的动机因素, 有助于从各个方面理解和评估共创过程。

不同于以前的研究, 本研究建立了综合再参与共创过程因果关系的模型。洞察游客再参与共创活动动机的因素为旅游业战略管理提供了一个路径。本研究基本上揭示了组织信任角色与再参与正向影响的关系。

再参与共创意向问题应该基于其因果进行评估。以前的研究虽然评估了共创产出, 但是, 对于促进再参与共创原因的研究有局限。本文同时研究了原因（再参与的动机）和共创的结果（信任与收益）

Se aplica una metodología cuantitativa para analizar las percepciones de un nuevo concepto, intención de volver a participar en la co-creación (Intention to Re-participate in Co-Creation, IRCC). Se recogieron un total de 305 cuestionarios válidos, en el período comprendido entre el 10 y 30 de octubre de 2020 en Estambul, y se analizaron con un modelo de ecuaciones estructurales basado en la covarianza (CB-SEM) utilizando el software LISREL.

La intención de volver a participar en la cocreación (IRCC) es un indicador esencial de los clientes para su propensión al trato. Por tanto, la finalidad de este estudio es centrarse en el papel de la confianza en la relación entre la motivación de los turistas para las actividades de IRCC y los resultados percibidos del servicio en la investigación en turismo

Los resultados del estudio mostraron que el IRCC de los turistas se agrupa en cuatro factores: (i) beneficio del aprendizaje, (ii) beneficio de la interacción social, (iii) beneficio hedónico y (iv) beneficio financiero. En el contexto del IRCC, la confianza organizativa media parcialmente en la relación entre la intención del turista y la motivación de propensión al trato para el IRCC.

El alcance de la investigación se limitó a los turistas nacionales que visitan Estambul. Es necesario investigar a los turistas que visitan otros destinos y que difieren en cuanto a sus características culturales para realizar evaluaciones a mayor escala. Además, al considerar que la cocreación es la consecuencia de la colaboración entre la empresa y los clientes, el análisis de las iniciativas de las empresas basadas en la promoción de la participación en la co-creación supondrá una contribución tanto para los gestores como para la literatura para formalizar el proceso de co-creación. Además, las redes sociales son una de las principales plataformas en las que los turistas están motivados para participar en co-creación de valor (MPCC), pero los turistas pueden tanto crear como destruir valor en los medios sociales en relación con las empresas y la experiencia turística. En este sentido, futuras investigaciones, deberían analizar los elementos de motivación de los turistas que les impulsan a co-crear y co-destruir valor en las redes sociales, contribuyendo a la comprensión y evaluación del proceso de co-creación en todos sus aspectos.

A diferencia de las investigaciones anteriores, el estudio ofrece un modelo que integra los antecedentes y las consecuencias del proceso del IRCC. En esta percepción, el conocimiento de los factores de motivación de los turistas hacia las actividades de IRCC proporciona una vía para que las empresas turísticas gestionen estratégicamente sus actividades. Este estudio se centra en el papel de la confianza organizativa en el efecto de la re-participación.

El IRCC es un tema que debe ser evaluado con sus antecedentes y resultados. En la literatura, varios estudios evalúan los resultados de la cocreación, pero la investigación sobre los antecedentes que promueven el IRCC es limitada. En este estudio se evalúan conjuntamente los antecedentes (motivación para volver a participar) y los resultados de la cocreación (confianza y beneficio percibido).

This study aims to investigate tourists’ intentions to use hotel service robots with a focus on safety and hygiene. It examines the impact of perceived safety, health awareness and service assurance on consumer engagement and robot usage.

Survey data from 275 participants with experience in robotic service were analyzed using structural equation modeling (SEM). The study used purposive sampling and collected data via the Prolific platform, using SEM and SmartPLS Ver. 3.0 for analysis.

Results indicate customers prioritize safety and hygiene, valuing effective service responses and cleanliness. Perceived robotic safety and service assurance positively influence personal engagement, with a preference for service robots among female guests.

While emphasizing the importance of safety and service assurance in hotel robotics, the study acknowledges limitations in personalization and conclusive use of service robots.

This research contributes to understanding the role of perceived safety in service robot usage, highlighting the significance of user trust and comfort in human–robot interactions. It also explores the novel connection between service assurance and service robots, offering insights into robotic performance reliability in user-centric contexts.

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.

The hospitality industry in developed countries is under pressure due to labor shortages and it is likely more food and beverage operations will have to be automated in the future. This research investigates the public’s perceptions of the use of robots in food and beverage operations to learn about how the public perceives automation in food and beverage.

Data were collected from a survey disseminated online in 12 languages, resulting in a sample of 1,579 respondents. The data were analyzed using factor analysis and OLS regressions.

The data also reveal that generally positive attitudes toward the use of robots in tourism and hospitality is a strong indicator of positive attitudes toward the use of robots in an F&B setting. The data also illustrate that the public’s perception of appropriateness of the use of robots in F&B operations is positively related to robots’ perceived reliability, functionality and advantages compared to human employees.

The implications illustrate that the public seems to be generally accepting robots in food and beverage operations, even considering the public’s understanding and acceptance of the limitations of such technologies.

The research suggests that a critical element in terms of incorporating automation into future food and beverage operations is encouraging consumers to have generally positive attitudes toward the use of robots in hospitality and tourism industries.

This survey is based upon the data gathered in multiple countries to learn about how individuals perceive the use of robots in food and beverage operations, illustrating the attitudes that will assist or hinder the automation of this service industry.

This study aims to identify articles examining human-robot interaction and the effects of robotic systems on employment.

In this research, electronic searches were performed for articles published between 2000 and 2022 in Emerald, Springer, PubMed, Science Direct, Wiley and Google Scholar. In the searches of robotic systems with keywords such as “motivation, job satisfaction, job loss, performance, job giving,” 5 quantitative and 5 qualitative studies were included in the systematic review. The selected research was conducted using the Johanna Briggs Analytical Cross-Sectional Studies Checklist from the Joanna Briggs Institute (JBI) critical evaluation lists and the JBI Critical Appraisal Checklist for Qualitative Research, depending on their type. The included studies are mostly on employee-robot collaboration.

Although the majority of the articles examined in this study are included in keywords or titles, it is determined that there is a gap in descriptive quantitative studies in the literature on the effects of employee-robot collaboration, robotic systems and robotic systems on variables such as motivation, job satisfaction, job loss, performance and employment, although they do not mention a framework that directly investigates human-robot interaction and the effects of robotic systems on employment.

There are several limitations in this study. One of them is that, although the databases are comprehensively scanned, only studies published in English between 2000 and 2022 are included in the systematic review. Another limitation is the heterogeneity between studies.

As a result of the authors’ findings, the practical effects of the research are reflected as follows: It serves as a guide for future studies to fill the gap in the field, especially for academics and researchers working in the field of social sciences on robotic systems and intelligent automations. In addition to the qualitative studies on this subject, there is a need for the use of robotic systems in the field of human resources and management and quantitative studies with more sample sizes, especially at the corporate (firms) and individual (employees) level. Considering that the number of studies on this subject is very insufficient, this research is important in terms of shedding light on future studies.

The authors believe that the impact of robotic systems on employment is one of the few conceptual articles that systematically examines 6 dimensions (job satisfaction, performance, job loss, employment, motivation, employment).

Many tourism-related industries, such as hotels, use social media as a marketing tool for promotion and distribution. This paper aims to use a model that explores the impact of social media platform image (SMPI) on customers’ visit intention (VI) in a hotel context, using hotel image (HI), motivation (Mot) and anticipated service quality (ASQ) as mediators. The objectives of this study are then: to understand the interactions between the two brand images, to test the mediation effect of HI, Mot and ASQ and to investigate how this interaction contributes to customers’ VI to hotel.

This study used a convenience sampling method that targeted respondents who are willing to book a hotel using a social media platform such as Facebook and a hotel reservation website (Agoda, Airbnb, Booking.com, Hotels.com and Trivago) that have forums that allow customers to share their experiences. The survey was conducted through various social media platforms, with 349 responses being collected.

This study finds that SMPI contributes to Mot largely through HI, Mot partly mediates the relationship between HI and ASQ and Mot contributes to VI mostly through direct impact and a small part through ASQ. The findings also indicate that SMPI is less potent in terms of contributing to the later constructs if HI is low.

This research provides practical implications for marketers serving the hotel industry, and social media sites, and establishes the interrelationship between them. This research also offers insight to the hotel managers for using social media platforms to attract potential visitors because social media platforms in recent years have become significant contributors to customers’ decision-making process of booking and visiting a hotel.

This study provides results on how social media platforms can be caused to become a more effective hotel promotion channel.

This study aims to develop a set of design quality indicators (DQIs) suitable for the design and evaluation of public schools in terms of their technical, functional and behavioral performance.

The methodology entailed the review of literature on the design quality of school buildings to identify potential DQIs. Subsequently, the eighty four DQIs were validated through a three-round Delphi evaluation process, with 35 participants in the first round and 28 participants in the second and third rounds. The participants consisted of architects, facility managers, administrators, teachers and students. The results of the Delphi survey were analyzed based on the relative importance index, which was further rated according to the levels of importance.

The findings from this process revealed that most of the DQIs were categorized as extremely important and very important.

The design quality of school buildings is crucial to the success of a community’s social life and educational process. However, the lack of a set of DQIs has hindered the potential to benchmark similar facilities and derived lesson learned. The value of the DQIs is in its potential application as a design tool for proposed school buildings, as well as for facility audit of existing school buildings.