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This study examined the antecedents of technostressors as well as how customers' perceived convenience and technostressors of using a check-in/out kiosk influence their behavioral intention in a full-service hotel setting.

Using survey data collected from 630 hotel customers, hypotheses were tested via structural equation modeling and multi-group analysis.

The results showed that perceived usefulness of a check-in/out kiosk had direct effects on both technostressors (i.e. work overload and role ambiguity), and that perceived ease-of-use had indirect effects on the technostressors, via perceived usefulness. The findings showed that both role ambiguity and perceived convenience significantly influenced intention to use a check-in/out kiosk. Intention to use was positively associated with intention to revisit a hotel providing the kiosk. These findings were equivalent across the younger and older groups.

Based on the findings, hotels can implement effective strategies to reduce technostressors associated with a check-in/out kiosk and focus on enhancing the factors that influence customer acceptance of the system. This is especially important given the increased emphasis on self-service technology since the onset of the COVID-19 pandemic.

This research contributed to the relevant literature by developing a check-in/out kiosk acceptance model using a multi-theoretical approach, and empirically testing it within the full-service hotel domain. It fills the knowledge gap regarding the antecedents and outcomes of technostressors in the hospitality research literature by providing empirical evidence.

This study aims to explain how hotel guests form attitudes toward facial recognition technology in Singapore by integrating technology acceptance model (TAM), privacy calculus theory and personal innovativeness.

A self-administered online questionnaire was developed with measurements adopted from past research. Guests who stayed in four- or five-star hotels in Singapore were recruited via systematic random sampling. Structural equation modeling was conducted to examine the proposed integrated models.

Results showed that hotel guests performed calculative cognitive processes, weighing the benefits and risks of using facial recognition check-in system. Contradictory to the past research which suggested that trust activates both perceived risk and benefits, this study demonstrated that trust independently directed consumer attention on the benefits gained while risk perception was triggered by privacy concern. Furthermore, the current study revealed that the ease of use of facial recognition check-in system could possibly backfire.

The research indicates that the effort to adopt new technology in the hotel industry is promising in view of the growing millennials and Generation Z population who are digital natives. Furthermore, the current study highlights ways to elevate institutional trust and divert consumers’ attention from risk perception to enhance their positive attitude and behavior toward accepting facial recognition check-in system.

This study integrated TAM with privacy calculus theory and personal innovativeness in examining the acceptance of facial recognition check-in system in the hotel industry in Singapore. This study is also the first, to the best of the authors’ knowledge, to investigate the relationships among privacy concern, perceived risk, institutional trust and perceived benefits, as well as their effects on consumers’ attitudes and behavior toward the biometric system.

Inspired by the concept of the moment of truth, this study aims to examine how service interactions between hotel front-desk staff and a first-time check-in guest affect the guest’s brand satisfaction and brand attitudes, considering the moderating effect of welcome hospitality.

This study employs a between-subjects 2 (check-in service with high-service interaction vs low-service interaction) × 2 (with welcome hospitality vs without welcome hospitality) experimental method to investigate the mechanism of building brand attitudes towards a hotel during the check-in process.

The results of Study 1 showed that participants in the high-service interaction group reported higher brand satisfaction and brand attitudes than the low-service interaction group. It also confirmed that brand satisfaction fully mediates the relationship between service interactions and brand attributes. The results of Study 2 demonstrated the moderating effect of welcome hospitality. When service interaction is low, welcome hospitality can effectively improve brand satisfaction, but when service interaction is high, the improvement in brand satisfaction is smaller.

This research contributes to the literature on service interactions by potentially first experimentally examining the impact of first-time employee-customer interactions within a hotel setting. Recommendations were provided to hotel operators on how hotel staff can improve their service interactions.

Purpose: This paper presents a review of the current state and potential capabilities for application of robots, artificial intelligence and automated services (RAISA) in hotel companies.

Design/methodology/approach: A two-step approach was applied in this study. First, the authors make a theoretical overview of the robots, artificial intelligence and service automation (RAISA) in hotels. Second, the authors make a detailed overview of various case studies from global hotel practice.

Findings: The application of RAISA in hotel companies is examined in connection with the impact that technology has on guest experience during each of the five stages of the guest cycle: pre-arrival, arrival, stay, departure, assessment.

Research implications: Its implications can be searched with respect to future research. It deals with topics such as how different generations (guests and employees) perceive RAISA in the hotel industry and what is the attitude of guests in different categories of hotels (luxury and economy) towards the use of RAISA. It also shows what is the attitude of different types of tourists (holiday, business, health, cultural, etc.) and what kinds of robots (androids or machines) are more appropriate for different types of hotel operations.

Practical implications: The implications are related to the improvement of operations and operational management, marketing and sales, enhancement of customer experience and service innovation, training and management.

Originality/value: This book chapter complements and expands research on the role of RAISA in the hotel industry and makes some projections about the use of technologies in the future.

Along with the development of the robotics industry, service robots have been gradually used in the hospitality industry. Nevertheless, service robot categorization and the fulfillment of the cognitive and emotional needs of consumers by hotel service robots have yet to be fully explored. Hence, the purpose of this study are to categorize hotel service robots, to explore consumers’ robot hotel experience, to identify the consumers’ preference of hotel service robot in general, to reveal consumers’ preference for hotel service robots based on their fulfillment of emotional needs and to examine the completion of cognitive–analytical and emotional–social tasks.

Through in-depth interviews with technology managers and questionnaire survey among consumers who have and have not had robot hotel stay experience to achieve the aforementioned research objectives.

Findings of in-depth interviews show that service robots can be categorized as check-in/out robots, artificial intelligence (AI) robots and service delivery robots. Results of questionnaire survey indicate that consumers prefer non-humanoid robots (n = 213, p = 47.87%) among check-in/out robots, the Xiaodu Smart Display (n = 163, p = 36. 63%) among the AI robots and the machine-shaped robot porter (I) (n = 178, p = 40.00%) among the service delivery robots.

This study provides implications, such as the adoption of robot-shaped AI with a screen display, to hotel managers to meet the needs of consumers regarding the completion of cognitive–analytical and emotional–social tasks of robots.

This study extends uncanny valley theory by identifying preference for the shape and functions of different categories of service robots and contributes to the limited literature on hotel robots.

Prior studies of how service quality evolves during the service delivery process have used aggregate case data in retrospect or have not obtained objective measures of the actual dimensions of the service encounter on an individual basis. Reports on a study of an actual hotel service delivery process partitioned into five distinct service encounters; check‐in, the room, the restaurant, the breakfast and check‐out. The aim was to investigate how quality factors were related to their respective encounters and how cumulative satisfaction levels impact on each other and over time. Average satisfaction levels for each of the five encounters were found to be significantly different. Moreover, there was a clear trend in the cumulative satisfaction results. Check‐in resulted in high satisfaction, the room was not so satisfying and the restaurant rated the worst. Satisfaction scores rose after the breakfast experience and rose again after check‐out. A factor analysis of all the questions, for a hypothesized five‐factor solution, explained 78 per cent of the variation. All the first four encounters loaded highly and collectively on four distinct factors. The fifth factor largely comprised correct check‐in booking and a correct bill on check‐out. Finally, a logistic regression model was used to rank the importance of the quality factors on their respective encounters. This information can be used to assist with the quality improvement of each encounter.

Presently, loyalty programs often offer preferential treatment to the firm’s best customers, and recently, service firms started to incorporate corporate social responsibility (CSR) initiatives into the loyalty reward programs (e.g. Starwood’s “Make A Green Choice”). However, academic research advancing the understanding of the effectiveness of CSR-focused loyalty programs is lacking. To bridge that gap, this paper aims to examine the influence of a “green” loyalty program on members’ and bystanders’ service encounter satisfaction in light of preferential treatment. Furthermore, this paper investigates the psychological mechanisms (prosociality perceptions and status perceptions) that underlie these effects.

This study used a 2 (loyalty program: green vs standard) × 2 (customer type: member vs bystander) × 2 (observability of preferential treatment: low vs high) between-subjects experimental design. Respondents were asked to read a hotel check-in scenario and then completed scales that measured their perceptions and evaluations of the service encounter.

Results from this study suggest that a green loyalty program can buffer the negative effect of preferential treatment on bystanders’ service encounter satisfaction. An examination of the underlying mechanism reveals that prosociality perceptions of the firm mediate the impact of loyalty programs on bystanders’ satisfaction. As expected, the results show that a green loyalty program is as effective as a standard program in elevating members’ satisfaction. Furthermore, findings from a moderated mediation analysis indicate that status perceptions mediate the impact of customer type on satisfaction. However, status perceptions have a greater leveraging power in satisfaction when observability of preferential treatment is high.

The results of this study have significant implications for service firms with loyalty programs and customer prioritization practices. By incorporating CSR into their loyalty programs, firms may be able to mitigate the negative bystander effect while maintaining the positive effects of preferential treatment on members’ service encounter satisfaction.

This study aims to explore the attraction, influence and persuasive effect of advertising (with or without metaphor) across different types of hotels (luxury vs. budget hotels).

Two independent variables – namely, the hotel category (luxury versus budget) and the use of rhetorical figures (text with metaphors versus text without metaphors) – serve as the basis for the investigation. The research design is a 2 × 2 within-subjects construct based on eye-tracking methodology complemented by questionnaire-based data collection. Participants were engaged with hotel advertisements under four specific conditions, each reflecting a distinct combination of the two independent variables.

The findings reveal the augmented attention-grabbing prowess of advertisements that use metaphors compared to those that do not. Furthermore, the study findings reveal that the hotel category significantly influences the efficacy of advertising; advertisements promoting luxury hotels were found to stimulate superior impression recall, garner higher customer affinity and prompt a more potent intention to patronize the hotel. Finally, the study shows that neither congruent nor incongruent pairings of visual (budget or luxury hotel) and verbal elements (with or without metaphor) yield additional advertising benefits.

This research addresses the limited empirical guidance available for hotel operators at various levels regarding the design of advertisements incorporating rhetorical devices. It highlights the potential benefits of using figurative rhetoric, especially metaphors, in advertising for both budget and luxury hotels. The study reveals a notable correlation between hotel category, particularly luxury offerings, and customer attention, retention, preference and intention to visit. Furthermore, it encourages hotel operators, regardless of their hotel’s ranking, to incorporate metaphorical language into their advertising designs, underscoring the need for strategic integration in overall advertisement planning.

Using high-resolution online eye-tracking technology, this study innovatively examines the influence of hotel category and rhetorical devices on the effectiveness and attention-grabbing potential of advertisements. Through this approach, the study seeks to offer valuable managerial and advertising insights for those involved in hotel marketing.

This study aimed to identify distinctive characteristics of hotel guests and understand their perception of guestroom technologies (GRTs) in hotels by utilizing the theory of consumer innovativeness and the social influence theory.

The data were collected from 268 hotel guests. The K-means clustering algorithm was employed to identify participants based on their views on the significance of technologies provided in guest rooms. A multivariate analysis of variance was applied to investigate if there were significant differences among clusters regarding social influence on hotel bookings, technology innovativeness and technology expertise and knowledge.

Two clusters were identified: technology compassionates and casual users of technology. Findings revealed that technology compassionates are more influenced by their friends when booking a hotel compared to casual users of technology. The ability to link up multiple wireless mobile devices, accessible outlets and mobile websites were the most critical GRTs for technology compassionates.

Technology should be considered a crucial part of the hotel guest experience. Hoteliers ought to continue investing in smart technologies to improve their guests' experiences. GRTs can reduce overhead staff costs while giving guests more control over their stay by utilizing everyday items like smartphones and offering them more power over their lodging experience.

This study advances the existing literature on GRTs by identifying which GRTs produce the most customer satisfaction. Moreover, this study explores the impact of social influence, innovativeness as a personality trait and having expert knowledge of technologies on preferences for GRTs.

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.