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With the permeation of artificial intelligence (AI) through the tourism and hospitality industry, a comprehensive understanding of its features and service outcomes is important for both academia and practice. In this study, a meta-analytic framework with 23 constructs from 91 research papers was developed. This analysis indicated that AI features can be categorized as sensory, social or functional; and the relationships among these features were revealed. Additionally, these features lead to positive service outcomes via a process involving customers' cognition, affect and relationships with service providers. The research method, AI type and participants' gender moderate the influence of AI features on service outcomes, but stimulants and prior experience do not. These findings enhance the understanding of AI applications and consequences and have managerial implications. [ABSTRACT FROM AUTHOR]

This research examined the influence of social interactions on tourism fatigue and tourist satisfaction, considering the conditional factors during the trough period of the COVID-19 pandemic. Based on conservation of resources theory and dynamic models of stress and sustained attention, a theoretical model for investigating the relationships among social interactions, tourism fatigue, empathy and tourist satisfaction was proposed. The model was confirmed by two studies with a mixed-method approach, including a survey and a follow-up complementary in-depth interview analysis. The findings indicate that tourists' friendly interactions with unacquainted tourists can significantly reduce tourism fatigue, that affective fatigue and cognitive fatigue partially mediated the relationship between interaction with unacquainted tourists and tourist satisfaction, and that empathy moderated the effect of interaction with familiar companions on tourism fatigue. This study is the first to consider the role of tourism fatigue in the relationship between social interactions and tourist satisfaction and enriches tourist behaviour research during the COVID-19 trough period. [ABSTRACT FROM AUTHOR]

How to arouse tourists' environmentally responsible behavior (ERB)is an important research issue, especially as tourists' mobility accelerates. Based on two emotion theories, this paper explores the role of environmental emotions and environmental values. The result of structural equation model indicates that 1) environmental education has a significant positive impact on environmental emotions and ERB, 2) environmental emotion plays a partially mediating role between environmental education and ERB, and 3) environmental values play a positive moderating role in the relationship between environmental education and tourists' ERB. The findings have important practical implications for the administration of destination environments. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) contactless services thrived during the COVID-19 pandemic, while their consequences remained unclear. Based on media equation theory and means-end chain theory, this study proposed a model explaining the effect of AI contactless services on customers' psychological safety, perceived control, hedonic value, and service quality. Data were collected from hotel customers with an online panel survey and a site survey in Wuhan, China. Chi-square statistics indicated that there were no significant differences between the two datasets. A structural equation modeling analysis of the combined data (n=316) suggested that two dimensions of AI contactless services led to the examined customers' psychological safety, which in turn positively influenced their hedonic value and service quality but negatively affected their perceived control. Additionally, customer psychological safety was found to mediate certain relationships between contactless service attributes and perceived value. The research findings contribute to AI service applications and influence theoretically and practically. [ABSTRACT FROM AUTHOR]

This study investigated the influence of service robot attributes on customers' hospitality experience from the perspective of relationship building. Through literature review and a preliminary study with in-depth interviews, a conceptual framework was developed. A scenario-based experiment and questionnaire survey were designed to test the model. The results indicate that robots' being perceived as humanlike or intelligent positively affects customer-robot rapport building and the hospitality experience. Additionally, customer-employee rapport building was found to mediate the relationship between robot attributes and the hospitality experience, but customer-robot rapport building was not. Based on these findings, theoretical contributions and practical implications were discussed. [ABSTRACT FROM AUTHOR]

Self-drive tourism differs from other types of tourism in many aspects, such as the importance of accessibility by roads and the attractiveness of multiple destinations along the way. Little research has investigated self-drive tourism attributes systematically. Moreover, the consequences of these attributes, namely, tourist satisfaction and post-visit behavioural intentions, have not been examined. This study aims to fill these gaps. The study is based on 377 observations collected in Xinjiang Province, China, which is a popular domestic self-drive tourism destination. Results show that two factors of self-drive tourism attributes explain the data well. Destination characteristics positively affect tourist satisfaction but driving conditions do not. Tourist satisfaction positively leads to the intention to recommend and revisit. This study contributes to the body of knowledge in the area of self-drive tourism and suggests implications to practitioners. [ABSTRACT FROM AUTHOR]

Several studies have examined the use or effectiveness of specific learning methods or tools. However, these studies have failed to assess the usage frequency and effectiveness of a comprehensive list of learning and teaching methods and tools. An evaluation from the perception of students could provide educators with insights into and implications for future pedagogy design and add empirical evidence to the hospitality education literature. Data were collected from 189 hospitality students in Hong Kong to assess the usage frequency and effectiveness of 28 methods and 22 tools. A usage frequency–effectiveness matrix was used to categorize these methods and tools into four quadrants to derive suggestions for learning enhancement strategies. [ABSTRACT FROM AUTHOR]

Customer participation in services has received increasing attention in hospitality research. Despite the growing attention, research on perceived customer participation (PCP) from an employee perspective remains limited. It may be valuable to inspect the service dominant logic from the perspective of employees. Thus, this study attempts to develop a measurement scale for PCP. The effect of PCP on employee innovative behavior (EIB) is also examined from a hospitality context. Both qualitative and quantitative methods are used to address the research problem. Three dimensions of PCP are identified, and the high reliability and validity of the scale are confirmed. The analysis based on the main survey data from 514 restaurant employees also reveals that customer information and emotional participation positively affect EIB, whereas the relationship between behavioral participation and EIB is insignificant. The research findings carry implications for research on PCP and the management of EIB in hospitality firms. [ABSTRACT FROM PUBLISHER]

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Information about the events during the 13th Asia-Pacific Council on Hotel, Restaurant and Institutional Education Conference that was held in Auckland, New Zealand on June 10-13, 2015 is presented. The conference was attended by more than 500 delegates to discuss various tourism and hospitality related topics, such as sustainability in tourism, hospitality marketing, and human resource management. The event featured 172 oral and 40 poster presentations in 10 sessions.