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Drawing on the theory of memory-dominant logic, this study aims to examine how the substantive staging of the servicescape, experience co-creation, experiential satisfaction and experience intensification affect experience memorability and hedonic well-being in the case of unmanned smart hotels.

An online survey was used, with the target respondents being hotel guests people aged 18 years and older who had been recent guests of the FlyZoo Hotel in Hangzhou, China. Data were collected online from 429 guests who had stayed in the hotel between April and June 2023. Data analysis was undertaken using structural equation modelling.

The results suggest that all the proposed four constructs are positive drivers of a memorable unmanned smart hotel experience. The relationship between the memorability of the hotel experience and hedonic well-being was found to be significant and positive.

Unmanned smart hotels should ensure that all smart technologies function effectively and dependably and offer highly personalised services to guests, allowing them to co-create their experiences. This will lead to the guest receiving a satisfying and memorable experience. To enable experience co-creation using smart technologies, unmanned smart hotels could provide short instructional videos for guests, as well as work closely with manufacturers and suppliers to ensure that smart technology systems are regularly updated.

This study investigates the antecedents and outcomes of a novel phenomenon and extends the concept of memorable tourism experiences to the context of unmanned smart hotels.

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.

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.

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.

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.

The purpose of the present research is to address the issue by conceptualizing artificial intelligence (AI) experience quality and its dimensions, and furthermore, to empirically test the relationships among AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention.

The data were collected from an AI community canteen in Shanghai. They were also analyzed using exploratory and confirmatory factor analyses (EFA and CFA) and structural equation modeling (SEM).

Four primary dimensions and 15 sub-dimensions of AI experience quality for community canteens were identified. The hypothesized paths between the higher-order constructs – AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention – were confirmed as well.

This is the first study to synthesize AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention in an AI restaurant setting.

The purpose of this paper is to address the research question of how human actors and technology interact together in practices in the context of a sharing economy. The theoretical foundation of this paper is based on the existing literature about the sharing economy and studies that have been carried out examining value co-creation and sociomateriality.

This paper adopts a qualitative case study method for the empirical investigation. Using theoretical sampling, Xbed, an internet, unmanned and self-service hotel platform based in Guangzhou, China, was chosen for the empirical investigation. The case was built on multiple sources of data, including archival materials, on-site fieldwork and in-depth interviews. Then, the case was interpreted based on a number of theoretical concepts, with a particular emphasis on the sociomaterial perspective.

This paper shows how human actors and technology interact with one another in a number of interrelated ways, which collectively result in the value co-creation necessary for creating a sharing economy. The authors have found that various forms of sociomateriality (the intersection between technology, work and organization) play a key role in co-creation and that interactions between these sociomaterial assemblages (assemblage-to-assemblage (A2A)) drive the development of a sharing economy. These sociomaterial assemblages have dynamic and evolving characteristics.

The authors argue that the key to the success of a sharing economy lies in how to engage participating actors with material entities (e.g. technology applications) to form action-enabling sociomaterial assemblages, as well as in determining how these assemblages can be systematically arranged to collectively form a larger assemblage. We suggest that managers need to conceive how relations between the social and the material realms can be structured by adopting a service logic that aims to help the beneficiary function better. The authors also suggest that managers have to consider what assemblages are necessary and how they are connected, to construct a full access-based service.

This paper conceptualizes the sharing economy as a system of value co-creation practices and empirically examines such practices from a sociomaterial perspective. This paper adopts the concept of sociomaterial assemblages to investigate sharing practices, through which the knowledge of the role of technology in the development of a sharing economy is enhanced. This paper also expands the knowledge of service-dominant logic by using a microfoundation perspective to look at the value co-creation that emerges as a result of the interaction between sociomaterial assemblages. These assemblages also act as constitutive elements of a service ecosystem.

This study used an integrated framework that incorporates the technology acceptance model (TAM) (Davis, 1989), the theory of planned behavior (TPB) (Ajzen, 1991) and trust to examine factors that mainly influence consumers' intention towards the use of smart technologies in tourism and hospitality (T&H) industry. The Internet of things (IoT), artificial intelligence (AI), virtual reality systems, augmented reality systems, etc. are the Smart 4.0 technologies generally used in T&H industry these days.

Convenience sampling approach was employed in this study. Data were collected over the Internet using a survey instrument by posting the questionnaire link on social network web pages of travel agencies from November 10, 2021, to December 30, 2021. In the opening statement of the questionnaire, we have explained about the Smart 4.0 technologies so that every respondent could understand what we mean by Smart 4.0 technologies.

The findings show that conjoining the TAM and the TPB with trust resulted in a robust model for explaining customers' intention toward using smart technologies in the T&H industry.

Smart technologies have become one of the most profitable e-commerce applications. This study examines and integrates the various advantages of smart technologies for the consumers in T&H industry, as well as providing insight into the intentions of Indian consumers. Hence, this study gives significant information to IT companies, online travel agencies, tour operators, travel agents, T&H planners and other stakeholders on Indian consumers' behavioral intentions (BIs).

This study tested the utility of the extended model in predicting consumers' intention towards the use of smart technologies in T&H industry. As far as the authors' knowledge is concerned, this is the first study that predicted intention of Indian consumers towards the use of smart technologies in T&H industry by integrating TAM, TPB and trust.

Through critically reflecting on existing research on information and communication technology (ICT) in hospitality, the purpose of this study is to propose recommendations for future research to further narrow the theory-practice gap.

Personal experiences along with evidence from the literature provide a foundation for discussion, which is further enriched by integrating industry practitioners’ points of view.

Single-perspective and technology adoption studies have dominated ICT research in the hospitality literature. Technology effectiveness has often been measured indirectly. Oversimplifying technological issues has limited the generalizability of research findings.

Future studies are suggested to go beyond examining technology adoption, embrace multi-perspective approaches and incorporate a wider range of situational and contextual factors.

Through a unique perspective, this study highlights the limitations of previous ICT research in the hospitality literature and provides suggestions for future research to better meet the needs of practitioners. The arguments presented are not purely from an academic standpoint, as they have been endorsed by senior industry executives.

This paper aims to explore and discuss the impact of digital innovations from a business eco-systemic perspective. Key smart technology application themes in the cruise industry are extracted and synthesised in a “Smart Cruise Ecosystem” (SCE) framework.

Information communication technologies (ICTs) advancements and smart tools revolutionise interactions and affect all transactions, transforming the cruise experience. Gradually a Smart Cruise Ecosystem emerges by incorporating all technologies available and involving cruise passengers, who as smart actors interact dynamically with stakeholders, creating value before, during and after the cruising experience. The COVID-19 pandemic outbreak stressed the need for touchless and digital interactions as well as real-time information, fast-tracking the deployment of smart technologies. The diffusion of ICTs in the cruise industry is multi-faceted and dynamic, resulting in a number of smart-technology use-cases.

Smart technology constitutes a comprehensive smart ecosystem to manage all actors, controls, devises and systems to optimise ship operations and management, while co-creating value for guests and crew in an effective way. The multiplex SCE proposed is enabled by digital technologies collecting, storing, accessing and processing big data dynamically, including: object detection, Internet of Things, Internet of Everything, satellite communications, Big Data, automation, robotics, Artificial Intelligence and Machine Learnin, Cloud Computing, Augmented, Virtual and Mixed Reality. A range of interoperable and interconnected supporting systems form the basis of the smart ecosystem.

The proposed framework offers a holistic perspective of the smart-cruising domain, highlighting innovations, interfaces, dependencies, along with the corresponding key limitations and challenges. The synthesis and conceptual structure provided serves as a topology for guiding and connecting further research in smart cruising.

本文从商业生态系统的角度探索和讨论了数字创新的影响。在“智能邮轮生态系统”框架中提取和综合邮轮行业的关键智能技术应用主题

信息通信技术 (ICT) 的进步和智能工具彻底改变了交互并影响所有交易, 从而改变了邮轮体验。通过整合所有可用技术并让邮轮乘客参与其中, 智能邮轮生态系统逐渐出现, 他们作为聪明的参与者与利益相关者动态互动, 在巡航体验之前、期间和之后创造价值。 COVID19 大流行的爆发强调了对非接触式和数字化交互以及实时信息的需求, 以快速跟踪智能技术的部署。信息通信技术在邮轮行业的传播是多方面的和动态的, 产生了许多智能技术用例

智能技术构成了一个全面的智能生态系统, 用于管理所有参与者、控制、设计和系统, 以优化船舶运营和管理, 同时以有效的方式与用户和船员共同创造价值。提出的多元智能巡航生态系统（SCE）由数字技术实现, 包括物体检测、物联网、卫星通信、大数据、自动化、机器人、人工智能、云计算、AR、VR, 动态收集、访问和处理大数据。一系列可互操作和互连的支持系统构成了智能生态系统的基础。

本研究提议的理论框架提供了智能巡航领域的整体视角, 突出了创新、接口和依赖关系, 以及相应的关键限制和挑战。所提供的综合和概念结构用于指导和连接智能领域的进一步研究提供划分类型。