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This study aims to investigate the perceptions of tourist guides in Türkiye regarding the role of technology in the tourist guiding profession.

This research adopted an exploratory qualitative case study approach, conducting semi-structured interviews with 29 professional tourist guides actively working in different regions of Türkiye.

The findings reveal the dual roles of technology in tourist guiding. While it can facilitate service quality and enhance experiences, technologies such as robot tourist guides, augmented reality and virtual reality are perceived as disruptive and potentially damaging service quality and tourist experiences.

The research offers unique insights into the facilitative and disruptive aspects of technological tools in the tourism industry. These findings have direct implications for destination managers, travel agencies and tourist guides worldwide, equipping them with a comprehensive understanding of the role of technology in tourist guiding and guiding their future actions, strategies and policies.

This research investigates the impacts, compatibility and suitability of robot chefs in a restaurant context from the perspective of human chefs.

Based on a qualitative research approach, semi-structured interviews were conducted with 27 chefs working in restaurants in Türkiye.

The study revealed the positive and negative impacts of robot chefs in restaurants, spanning aspects such as competitiveness, labour/human resources, financial, service quality, creativity and innovativeness and sustainability. The findings also shed light on the lack of necessary humanoid chef competencies of robot chefs and the suitability of restaurant concepts for their use.

Although previous research has explored the integration of automation and robotics in hospitality experiences and the perceptions of guests towards robot chefs, a significant gap exists in understanding the viewpoints of human chefs. This study makes a novel contribution to the theoretical and practical understanding of the use of robot chefs in the kitchen and the dynamics of their interaction with human chefs.

This study aims to investigate the relationship between the dimensions of motivation, perceived authenticity and satisfaction of tourists visiting the Mor Hananyo Monastery as a heritage site.

The quantitative research method was implemented to test the proposed structural model. Accordingly, a self-administered questionnaire was applied to 341 tourists visiting the monastery of Mor Hananyo between April and May 2019. First, confirmatory factor analysis was performed to ensure the scales’ construct validity; then, the covariance-based structural equation model was established to test the research hypothesis with the help of path analysis.

The results showed that all motivation dimensions influence the objective authenticity perception of tourists. Heritage and ancestral motivations influence the constructive authenticity perception of tourists. However, the effect of educational motivation on the same variable was insignificant. Furthermore, only heritage motivation affects the existential authenticity perception of tourists.

The results of this study demonstrate that tourist satisfaction has causal relationships with travel motivations and authenticity perceptions. Additionally, although tourist satisfaction has been accepted as an essential and extensively discussed subject in the tourism literature, this study is the first to examine the structural relationships of travel motivations (ancestral, heritage and educational motivations), authenticity perceptions (objective, constructive and existential authenticity) and tourist satisfaction in the monastery context.

The main aim of the present research is to investigate the tea and coffee experience of travellers around the world and clutch the dimensions of tea and coffee museum experience.

Travellers who had experienced tea and coffee museums were purposefully selected as a sample group for the study. As tea and coffee museums that are benefiting from user-generated content (UGC) are limited, a qualitative multiple case study method has been chosen to enrich more comments and obtain more data. For the data gathering, as a UGC platform, TripAdvisor was benefited.

According to an inductive content analysis of reviews, the model of dimensions of tea and coffee museum experience that consist of nine main categories revealed: educational experience, authentic experience, memorable experience, participatory experience, shopping experience, atmosphere, facilities, employees and tour guides and negative experiences (negative staff attitudes and skills, lack of foreign language explanations and cleanliness).

To the best of the authors’ knowledge, this study is the first to examine the tea and coffee museum experience of travellers around the world. It contributes to the gastronomy literature by providing the dimensions of the tea and coffee museum experience.

This research aims to explore the role of technology in the future of restaurant labor. It focused on the opinions of restaurant employees, including managers, regarding technological trends such as service robots, self-service kiosks, robot chefs and automated cooking systems and how these may affect the future of restaurant labor.

A qualitative research approach was adopted, and interviews were conducted with restaurant employees in the USA.

The findings uncovered that the benefits, impacts and shortcomings of technological trends in the restaurant industry differ depending on employees’ perspectives. Also, the findings of the shortcomings of each technological trend support the need for human labor as some aspects of technological trends cannot address the requirements of some tasks.

This research proposed a conceptual framework explaining the role of technological trends in the future of restaurant labor. It is one of the first studies to examine the role of technology in the future of hospitality labor, specifically restaurant labor, after the pandemic.

本研究旨在探讨技术在餐厅劳动力未来中的角色。研究聚焦于餐厅员工（包括管理人员）对服务机器人、自助服务终端、机器人厨师和自动烹饪系统等技术趋势的看法, 以及这些趋势可能对餐厅劳动力未来产生的影响。

本研究采用定性研究方法, 在美国对餐厅员工进行了访谈。

研究发现, 不同技术趋势在餐饮行业中的优点、影响及局限性因员工视角而异。此外, 各技术趋势的局限性也表明, 某些任务的需求无法完全由技术解决, 仍然需要人力参与。

本研究提出了一个概念框架, 用以解释技术趋势在餐厅劳动力未来中的作用。这是疫情后首批专门研究技术在酒店业劳动力（尤其是餐厅劳动力）未来角色的研究之一。

By focusing on Sustainable Development Goal 12 (SDG 12) and tourism automation, this perspective paper aims to investigate how tourism and automation will work to create a world in which tourism has more sustainable production and consumption patterns.

This perspective paper reviews the past developments of automation in tourism in the context of sustainable production and consumption patterns, the lessons learned from the COVID-19 pandemic and looks at the future of tourism and how automation will help it be more sustainable in terms of consumption and production patterns.

The insights from this analysis suggest that automation technologies will play a major role in both the supply and demand sides of the tourism and hospitality industry, encouraging increased tourism sustainability. While automation technologies will have the greatest impact on the supply side in the near future, as such technologies will be used to minimise waste and energy usage, creating large gains for environmental protection, the technologies will also benefit responsible consumption. Big data and analytical technologies will work in ways to ensure that consumers are nudged into consumer practices that are increasingly sustainable.

This perspective paper synthesises the literature on the subjects, namely, automation and SDG 12 in tourism, and points to important new future research agenda. This is one of the first papers in tourism to blend automation and SDG 12 literature to shed light on the use of automation in sustainable consumption and production in tourism.

通过聚焦于可持续发展目标12和旅游自动化, 本前瞻性文章旨在探讨旅游业和自动化如何共同创造一个让旅游产业拥有更可持续的生产和消费模式的世界。

本文回顾了旅游自动化在可持续生产和消费模式背景下的发展, 从COVID-19大流行中学到的教训, 并展望旅游业的未来以及自动化如何帮助其在消费和生产模式方面变得更加可持续。

根据分析, 自动化技术将在旅游和酒店业的供求两侧发挥重要作用, 促进旅游业的可持续性发展。虽然自动化技术在近期内将对供应侧产生最大影响, 因为这些技术将被用来最小化废物和能源使用, 为环境保护创造巨大收益, 但这些技术也将惠及负责任消费。大数据和分析技术将以确保消费者被引导向越来越可持续的消费实践。

本前瞻性论文综合了关于旅游中的自动化和可持续发展目标12的文献, 并指出了重要的新的未来研究议程。这是旅游业中第一批结合自动化和可持终发展目标12文献以阐明旅游中可持续消费和生产的自动化使用的论文之一。

Al centrarse en el ODS12 y la automatización del turismo, este artículo de perspectiva pretende investigar cómo el turismo y la automatización trabajarán para crear un mundo en el que el turismo tenga unos patrones de producción y consumo más sostenibles.

Este artículo de perspectiva revisa los desarrollos pasados de la automatización en el turismo en el contexto de los patrones de producción y consumo sostenibles, las lecciones aprendidas de la pandemia COVID-19, y examina el futuro del turismo y cómo la automatización le ayudará a ser más sostenible en términos de patrones de consumo y producción.

Las conclusiones de este análisis sugieren que las tecnologías de automatización desempeñarán un papel importante tanto en la oferta como en la demanda de la industria del turismo y la hotelería, fomentando una mayor sostenibilidad del turismo. Mientras que las tecnologías de automatización tendrán el mayor impacto en el lado de la oferta en un futuro próximo, ya que dichas tecnologías se utilizarán para minimizar los residuos y el uso de energía, creando grandes ganancias para la protección del medio ambiente, las tecnologías también beneficiarán al consumo responsable. Los macrodatos y las tecnologías analíticas funcionarán de manera que se incite a los consumidores a adoptar prácticas de consumo cada vez más sostenibles.

Este documento de perspectiva sintetiza la bibliografía sobre los temas, a saber, la automatización y el ODS12 en el turismo, y apunta a una nueva e importante agenda de investigación futura. Se trata de uno de los primeros trabajos sobre turismo que combina la literatura sobre automatización y ODS12 para arrojar luz sobre el uso de la automatización en el consumo y la producción sostenibles en el turismo.

This paper aims to explore the determinants and implications of travel motivations of international tourists visiting the Cappadocia destination.

The quantitative research method focusing on numerical data was used to test the proposed hypotheses, and the survey technique has been used to collect data. The research participants consisted of 363 international tourists visiting the Cappadocia region/Turkey and spending at least one night there. Confirmatory factor analysis was performed using the AMOS 22 package program to ensure the scales’ construct validity. Then, the structural equation model was established to test the study’s hypothesis, and these hypotheses were tested with the help of path analysis.

As determinants of travel motivations, while electronic word of mouth (eWOM) has a positive effect on travel motivation dimensions, the impact of travel risk perception is negative. Moreover, from the dimensions of travel motivations, novelty/learning and socialization positively affect destination loyalty. However, the influences of escape and relaxation and self-development are meaningless. Besides that, travel risk perception strongly impacts eWOM.

Destination managers and practitioners must maintain a higher level of tourist motivation and reduce tourists’ travel risk perception levels to improve destination competitiveness by constituting a more loyal customer profile. Moreover, eWOM platforms should be used efficiently.

This study points to a functional multidimensional model that contributes to the literature and guides destination managers and practitioners. The proposed framework of determinants and consequences of tourists’ travel motivation can also be applied in other service contexts.

The purpose of this study is to investigate the robotic restaurant experience of travellers around the world and understand the components of robotic restaurant experience.

Travellers who had experienced a robotic restaurant were purposefully selected as a sample group for the study. As the robotic restaurants are limited around the world, multiple case study method has been chosen to gather richer data. A user-generated content technique which is a form of qualitative case study method has been benefited to gather data from travellers’ reviews.

The results reveal a model of components of robotic restaurant experience that include six main themes: attraction for kids, robotic system, memorable experience, ambience related attributes, food related attributes (economic value and gastronomic aspects) and deficiencies (in robotic system, in ambience related attributes and in food related attributes).

This paper is one of the first to investigate the robotic restaurant experience of travellers around the world. Moreover, it contributes to the research on restaurant experience and offers a model of components of the robotic restaurant experience.

This study was designed to contribute to the extant literature by discovering the perceptions of restaurant employees and managers toward equal opportunities in restaurant labor and working in a diversity-rich restaurant work environment.

A qualitative research approach was utilized. Through in-depth interviews, data were collected purposefully from restaurant workers in different positions (e.g. managers, servers, chefs and cooks) in the USA.

As a result of content analysis, different perspectives emerged on equal employment opportunity and diversity in restaurant labor. While some employees and managers believe that restaurant labor has equal employment opportunities, others think there is a lack of equal employment opportunity and partial equal employment opportunity in the industry. Most participants perceive working in a diversity-rich restaurant work environment as beneficial (an opportunity to learn about different cultures and an opportunity to learn different experiences and approaches).

To the best of our knowledge, this is the first paper to explore employees' and managers' perceptions of equal employment opportunity and diversity in the hospitality labor context, specifically restaurant labor. Therefore, the research findings will create value for scholars to understand the view on equal employment opportunity and diversity in restaurant labor. Further, it will assist practitioners in designing their labor structure regarding equal employment opportunity and diversity management for the future.

The purpose of this paper is to understand how chefs working at five star hotels perceive the menu planning process.

Case studies were used to deeply investigate the menu planning process of five star hotels. Data were drawn from in situ interviews and documentation, which were examined via content analysis. After the coding process, themes and categories were extracted and corroborated by direct quotations.

The findings revealed that the menu planning process can be classified into five major categories. The first category consists of the prerequisites of planning a menu. The second category is “key issues” and encapsulates the managerial, consumer, gastronomic, marketing and external aspects of menu planning. The third category highlights key actors’ responsibilities in the menu planning process, while the fourth category, “trial and improvement,” elaborates on the iterative process of menu design and the key players and issues involved with it. Finally, the last category outlines the difficulties of menu planning.

In the existing academic literature, most research conducted about menu planning only provides conceptual framework while empirical information remains unexamined. However, this qualitative study aims to clarify the components of menu planning in more detail in terms of five star hotel firms that offer various food and beverage operations. The present study is an attempt to fill a gap in the existing literature on the subject.