Service robot acceptance: agenda for tourism and hospitality research

Purpose This study aims to provide insights and guidance for future research on service robot acceptance in the tourism and hospitality (T&H) domain through a comprehensive literature review. Design/methodology/approach A total of 249 journal articles, retrieved from the Scopus and Web of Science databases, were reviewed using an inductive analysis method. Findings Since its emergence in 2008, the topic of robot acceptance has gained significant attention, especially after 2019. The research assesses the current state of research, methodologies used, theoretical foundations and antecedents influencing acceptance. Five categories of antecedents affecting acceptance were systematically identified: robot design factors, individual/organisational factors, situational factors, appraisal factors and affective factors. Originality/value This study provides a comprehensive overview of the current landscape of service robot acceptance research. It offers insights and theoretical directions to advance research in the T&H domain.

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Publication Details

Journal
Tourism Review
Published
2024-11-06
DOI
https://doi.org/10.1108/tr-03-2024-0159
Citations
11
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
3.82
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article

Service robot acceptance: agenda for tourism and hospitality research

Meng Miao, Dan Huang, Qiurong Chen
11 citations
Tourism Review
AI in Service Interactions
3.82
article

Service robot acceptance: agenda for tourism and hospitality research

Meng Miao, Dan Huang, Qiurong Chen
article en
11 citations

Abstract

Purpose This study aims to provide insights and guidance for future research on service robot acceptance in the tourism and hospitality (T&H) domain through a comprehensive literature review. Design/methodology/approach A total of 249 journal articles, retrieved from the Scopus and Web of Science databases, were reviewed using an inductive analysis method. Findings Since its emergence in 2008, the topic of robot acceptance has gained significant attention, especially after 2019. The research assesses the current state of research, methodologies used, theoretical foundations and antecedents influencing acceptance. Five categories of antecedents affecting acceptance were systematically identified: robot design factors, individual/organisational factors, situational factors, appraisal factors and affective factors. Originality/value This study provides a comprehensive overview of the current landscape of service robot acceptance research. It offers insights and theoretical directions to advance research in the T&H domain.

Tourism ReviewVol. 80(4)
Sichuan University (CN), Sichuan Tourism University (CN)
Decent work and economic growth
Openalex Percentile: Top 6%
AI in Service Interactions
3.82
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