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The purpose of this paper is to identify the attitudes of Bulgarians towards country’s historical monuments, communist heritage, communist heritage tourism and their willingness to participate in communist heritage trips.

The sample includes 359 respondents recruited via an online survey. Mann-Whitney U-test is used to identify the differences in the respondents’ attitudes towards communist heritage tourism in Bulgaria on the basis of their age, gender, frequency of visit to historical monuments, attitudes towards country’s communist past, prior visit to, familiarity with and attitude towards communist monuments and identification of communist monuments with country’s heritage.

The respondents who visited historical monuments more frequently, had more positive attitudes towards communist past of the country and its communist monuments, those who had visited and were very familiar with the communist monuments were more supportive towards donating money for the restoration of communist monuments and their inclusion in tourism supply.

The paper reveals that domestic communist heritage tourism demand exists in Bulgaria and tour operators need to focus on including communist heritage in tourism supply.

Communist heritage is controversial and different social groups perceive it differently, depending on their attitudes towards communism as a political, economic and social system.

The paper compares the attitudes towards historical and communist monuments and revealed that communist monuments received less support for inclusion in tourism supply than historical monuments; the respondents were less inclined to participate in trips to them and to donate money for their restoration.

This paper aims to analyse three decision-making approaches that involve humans and artificial autonomous agents, namely, human “in the loop”, “on the loop” and “out of the loop” and identifies the decision characteristics that determine the choice of a decision-making approach.

This is a conceptual paper that analyses the relationships between the human and the artificial autonomous agents in the decision-making process from the perspectives of the agency theory, sustainability, legislation, economics and operations management.

The paper concludes that the human “out of the loop” approach is most suitable for quick, standardised, frequent decisions with low negative consequences of a wrong decision by the artificial intelligence taken within a well-defined context. Complex decisions with high outcome uncertainty that involve significant ethical issues require human participation in the form of a human “in the loop” or “on the loop” approach. Decisions that require high transparency need to be left to humans.

The paper evaluates the decision-making approaches from the perspectives of the agency theory, sustainability, legislation, economics and operations management and identifies the decision characteristics that determine the choice of a decision-making approach.

Future tourism will take place in a robonomic economy (aka robonomics). The massive introduction of robots, artificial intelligence and automation technologies which will lead to the advent of an economy that will be qualitatively different from the current economy. The robonomic economy will have profound implications on the nature of work, level and sources of incomes, leisure time, politics, international trade and relations, ownership rights, etc., hence leading to major social, economic and political challenges and tension. The purpose of this paper is to elaborate on how tourism will be in a robonomic society.

This is a perspective paper that shows how tourism will be in a robonomic society. This is a conceptual perspective article that shows how tourism will be in a robonomic society.

This paper elaborates on the tourism/hospitality implications of robonomics, the positive and negative impacts of robonomics on tourism and vice versa.

This is one of the first papers to discuss tourism implications of a future automated society.

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.

The purpose of this paper is to discuss how demographic changes in developed countries will continue to drive the tourism and hospitality industries to adopt automation in business operations.

The approach is an analysis of the trends in human reproduction in the developed countries and a discussion of their implications for the travel, tourism and hospitality industries.

There are three major solutions to the demographic problem faced in developed countries and the replacement of human labour with automation is the most practical, immediate and has the fewest risks and negative externalities.

Industry has to adapt to the new demographic reality and embrace automation of services, educate their customers and have policies to deal with the resistance expected by labour.

Society can expect that many of the tasks they commonly expect humans to be involved in will be done by machines and artificial intelligence in the near future, if demographic trends continue and massive immigration into developed countries is not a continuing phenomenon.

This links the relationship between demographic trends to the use of automation in the travel, tourism and hospitality industries.

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 viewpoint is a response to Yeoman's (2022) editorial on Sunderland AFC and the future of tourism. This viewpoint aims to outline the lessons one can learn from Star Wars about the future of tourism.

The paper reviews the live-action movies and series of the Star Wars franchise.

The paper derives specific conclusions in the following directions: the future technology in travel, tourism and hospitality; the tourists' motivation and behaviour; the management of travel, tourism and hospitality companies; destination management; economy and society and lessons from the franchise.

This is one of the first papers to elaborate on the lessons one can learn about the future of tourism from the Star Wars live-action movies and series.

This paper aims to present the findings from a European study on the digital skills gaps in tourism and hospitality companies.

Mixed methods research was adopted. The sample includes 1,668 respondents (1,404 survey respondents and 264 interviewees) in 5 tourism sectors (accommodation establishments, tour operators and travel agents, food and beverage, visitor attractions and destination management organisations) in 8 European countries (UK, Italy, Ireland, Spain, Hungary, Germany, the Netherlands and Bulgaria).

The most important future digital skills include online marketing and communication skills, social media skills, MS Office skills, operating systems use skills and skills to monitor online reviews. The largest gaps between the current and the future skill levels were identified for artificial intelligence and robotics skills and augmented reality and virtual reality skills, but these skills, together with computer programming skills, were considered also as the least important digital skills. Three clusters were identified on the basis of their reported gaps between the current level and the future needs of digital skills. The country of registration, sector and size shape respondents’ answers regarding the current and future skills levels and the skills gap between them.

The paper discusses the digital skills gap of tourism and hospitality employees and identifies the most important digital skills they would need in the future.