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This study aims to simultaneously examine the influence of demographic, psychographic and situational factors on consumers’ willingness to pay a price premium (WTPp) for robotic restaurants and to profile market segments based on consumers’ WTPp levels (positive, neutral and negative).

Using an online survey, the data were gathered from a sample of 897 Thai consumers who had dined at a robotic restaurant in the past 12 months. Structural equation modeling, chi-square tests and the one-way analysis of variance were used for data analysis.

Demographic (gender, age, income and marital status), psychographic (perceived advantages/disadvantages, personal innovativeness and personality traits) and situational factors (perceived health risk and self-protection behavior) significantly influence consumers’ WTPp for robotic restaurants. The positive price premium group differs significantly from the neutral and negative price premium groups in terms of demographic, psychographic and situational profiles.

The findings of this study help restaurateurs target the correct customers and set up appropriate price fences to safeguard profits and maximize return on investment.

This study contributes to the literature on technology-based services and hospitality by heeding the calls made by Ivanov and Webster (2021) and providing much-needed empirical evidence of possible changes in consumers’ WTPp for robot-delivered services in restaurants due to COVID-19.

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.

Taking a mixed-method approach, this research developed and validated a novel, value-centric experience framework delineating robotic involvement in the service encounter and its subsequent impact on customers' experiences.

Focused on robotic restaurant businesses where robots are mainly involved in food production processes, this research utilized online customer review data and a multistage, mixed-method design for empirical examination. Automated thematic analysis was first adopted to facilitate a comprehensive understanding of the empirical reality as reflected in online customer reviews. Following an analytic induction process, a theoretical framework was developed integrating prior literature with the empirical reality to uncover the relationships across robotic involvement, experiential values and evaluative outcomes. A theory-driven, dictionary-based content analysis together with path analysis further enabled empirical validation of the developed theoretical framework.

The current research developed and validated a value-centric experience framework to theorize robotic involvement in the service encounter and its downstream impact on customers' experiences. Specifically, this framework conceptualizes robotic involvement as a five-dimensional composition of robotic visibility, competency, performanism, co-creativity and prominence. In addition, the framework specifies seven dimensions of experiential values revolving around high-tech–high-touch robotic service encounters, namely sensorial, utilitarian, hedonic, social, agentic, epistemic and aesthetic values. Following empirical validation, this framework sheds light on robotic involvement and experience design for high-tech–high-touch service businesses aiming to incorporate robots in their service encounters.

Drawing on classic service role theory and consumption value theory, this research developed and validated a novel theoretical model connecting robotic involvement dimensions with experiential consumption values and downstream customer evaluative outcomes. This research and theoretical framework open an exciting avenue for future research in robotic services and customer experiences.

The purpose of this paper is to investigate travellers’ behaviour and examine their reactions to high-tech hotels offering robotic services to customers.

Data were gathered from user-generated content within the context of a qualitative research method by analysing the online narratives of travellers at TripAdvisor who visited robotic hotels. Data analysis was realised through content analysis, which revealed various themes and categories of traveller behaviour and reactions to technology.

Results show that robotic services significantly improve the quality of service offered to travellers, while positively affecting travellers’ intention to revisit robotic hotels within the context of customer engagement behaviours.

The results of the present research reveal that the introduction of new technologies in the service industry, such as the robotic butler, can have considerable effects on guest behaviour and attitudes. This field has emerged as a new sub-dimension of customer engagement.

The use of robots will most likely enhance experiences through interaction between customers and robots. Additionally, in cases where social distancing is required, the use of robots in the hospitality and tourism industry may increase the mobility of people wishing to travel by applying social distancing through use of robots in services.

The study contributes to the extant literature by identifying the concept of adoption as a sub-dimension deriving from human–robot interaction, thus generating the novelty of the research.

本论文旨在研究游客行为以及检验其对高科技酒店提供机器人服务给客人的反应。

本论文采用定性分析手段, 采集样本为TripAdvisor游客光顾机器人酒店的在线叙述文本, 即用户生成内容（UGC）。本论文采用文本分析法, 以确定多种游客行为和对科技的反应等多个主题和范畴。

研究结果表明, 机器人服务大大提高游客服务质量, 同时也积极影响游客再光顾机器人酒店的意向, 在顾客参与行为（CEBs）的研究背景下。

本论文研究结果表明, 服务产业的新科技引用, 比如机器人服务员, 能够对顾客行为和态度产生显著的影响。这一研究领域作为顾客参与（CE）的新维度正在兴起。

新技术的引用将提高顾客的服务质量, 从而促成顾客的价值共创。此外, 还可以帮助消除游客对受到健康相关危机影响的担忧; 从业人员应该考虑在其公司、企业、或者机构中采用机器人服务。

机器人的使用将很有可能通过机器人与顾客的交互而提高顾客体验。此外, 在被要求社交隔离的情况下, 在酒店和旅游业中使用机器人将增加人们旅游的流动性。

本论文补充了现有文献, 确立了机器人接纳作为人机交互的第二维度, 从而证实了本文的新颖性。

Using cognitive appraisal theory, this study aims to propose and test an integrated framework – comprising robotic service quality, robotic service authenticity, customer existential authenticity and customer revisit intention – on diners with experience using robotic technology in restaurants. The moderating role of robotic appearance is in the hypothesised relationship.

Data was gathered through a Web-based survey delivered to 428 diners who had experience using robotic services in restaurants in China. The hypotheses were analysed using a structural equation model and multi-group analysis was used to analyse the moderating effect.

The findings indicate that functional service quality positively influences robotic service authenticity and existential authenticity. However, technical service quality only affects existential authenticity, which leads to revisit intention. Robotic appearance moderated the relationship between functional service quality and service authenticity.

Restaurateurs should enhance robotic service authenticity, existential authenticity and revisit intention by improving robotic technical service collaborating with robot manufacturers and operators.

Focusing on cognitive appraisal theory, the findings serve as a starting point for investigating robotic service quality and authenticity in robotic service settings theoretically and empirically.

This paper aims to investigate potential consumers’ willingness to pay for robot-delivered services in travel, tourism and hospitality, and the factors that shape their willingness to pay.

An online survey yielded a sample of 1,573 respondents from 99 countries. Independent samples t-test, Analysis of variance (ANOVA), cluster, factor and regression analyses were used.

Respondents expected to pay less for robot-delivered services than human-delivered services. Two clusters were identified: one cluster willing to pay nearly the same price for robotic services as for human-delivered services, whilst the other expected deep discounts for robotic services. The willingness-to-pay was positively associated with the attitudes towards robots in tourism, robotic service experience expectations, men and household size. It was negatively associated to travel frequency, age and education.

The paper’s main limitation is its exploratory nature and the use of a hypothetical scenario in measuring respondents’ willingness to pay. The data were gathered prior to the COVID-19 pandemic and do not reflect the potential changes in perceptions of robots due to the pandemic.

Practitioners need to focus on improving the attitudes towards robots in tourism because they are strongly and positively related to the willingness to pay. The marketing messages need to form positive expectations about robotic services.

This is one of the first papers to investigate consumers’ willingness to pay for robot-delivered services in travel, tourism and hospitality and factors that shape their willingness to pay.

The purpose of this paper is to investigate the influencing factors of generation Z (Gen Z) consumers’ revisit intentions to robotic restaurants in the post-pandemic times.

Using a sample of Gen Z consumers with dining experiences in an Indian restaurant using service robots, the study empirically tests a research framework based on stimulus–organism–response theory.

The study explains how Gen Z consumer’s perceptions of functional attributes (i.e. perceived usefulness and perceived ease of use), socio-emotional attribute (i.e. perceived safety) and relational attribute (i.e. trust) shape their attitude, which in turn leads to their evaluations of performance outcomes and intention to revisit the robotic restaurants. The findings also indicate that perceived risk reduction of viral infection moderates the impact of performance outcomes on revisit intention.

Due to the outbreak of COVID-19 pandemic, the changing preferences of consumers have resulted in an increase in demand for restaurants offering robotic services. To support the long-term viability of service robots in restaurant services, the current study investigates what elements of service robots can determine consumers’ intentions to revisit the robotic restaurants during post-pandemic times.

This study aims to apply the elaboration likelihood model to explore when, how and why robotic services increase customer engagement.

A field survey and two experiments were conducted to examine the proposed theoretical framework.

The robots’ proactive behavior encouraged customers to trust and engage with them. The influence of this behavior on customer engagement increased for highly interaction-oriented customers or when the reputations of companies were poor.

The findings can inform the efficient management of customer–robot interactions and thus support firms’ relationship marketing objectives.

The literature on robotic services has recognized that robots should be proactive to ensure positive customer experiences, but few studies have explored the relational outcomes of proactive robotic services. The authors’ in-depth empirical examination thus extends research into the role these services can play in fostering customer engagement.

Since the market penetrations of service robots are only successful to a limited types of services, the purpose of the paper is to look into the reasons why the market penetrations are lagged from both technical and nontechnical perspectives. Automatic robotic recharging services, especially robotic refueling systems, are used as the case study for the investigation.

This paper surveyed the relevant technologies and products and conducted the feasibility study and risk management for new development of automated robotic refueling systems. This paper developed a cost model for the evaluation of robotic refueling systems.

There are no major technical barriers that exist for the development of robotic refueling systems, but two main risks of developing new robotic refueling systems are interference of existing patents and the extreme effort to further reduce the development cost of automated refueling systems. The recommendations have been made to new developers of service robots.

The suggestions are made for further development on service robots, in general; however, this paper does not cover the physical development of service robots.

This study was actually conducted for a client company who has a strong interest in developing new products for automatic robotic refueling systems. The reported work has great significance for new comers in this area to understand the state of the art, technological challenges and some potential risks in the field.

To the best of authors’ knowledge, it will be the first academic paper to summarize the research and development effort on automatic recharging business. The targeted field is very typical in promoting robots in services. Even robotic refueling was proposed at very early stage of robotic application, the market penetration of refueling robots the market penetration is very limited, not because the technology readiness but some other factors. This work has its significance to identify technical and nontechnical challenges to promote robots in services.

The purpose of this paper is to apply the concept of consumer innovativeness to the robotic restaurants field.

A research model including 13 hypotheses is examined using a sample of 409 subjects gathered.

The results indicate that four underlying dimensions of consumer innovativeness have a positive effect on overall image, which, in turn, increases desire. In addition, desire aids to enhance the two dimensions of behavior intentions.

Robotic restaurant managers are required to focus more on quality experience-seeking, hedonic experience-seeking, venturesomeness and social distinctiveness using automated systems, which aid to enhance the image of robotic restaurants.

Consumer innovativeness is regarded as a significant concept in the domain of a novel technology-based product and service, but it has not been explored in the restaurant context. Thus, this study tried to apply consumer innovativeness to the robotic restaurant industry for the first time and explained how to form consumer behavioral intentions based on the concept.