Anthropomorphic robotic chef in quick-service restaurants: analysis of customers’ behavioral intentions

Purpose The hospitality sector has undergone a significant transformation due to the integration of robotics. Drawing on anthropomorphism theory and cue utilization theory, this study aims to focus on a particularly unique aspect of the effect of anthropomorphic robotic chefs on customers’ behavioral intentions at quick-service restaurants. Design/methodology/approach The study employs partial least squares structural equation modeling (PLS-SEM) to test hypotheses using data from 487 samples from three quick-service chain restaurants in the USA. Findings The research results indicate that anthropomorphic robotic chefs positively influenced customers’ perceived advantages (cleanliness and food quality). Customers’ hygiene concerns moderated the relationship between anthropomorphic robotic chefs and perceived cleanliness. Originality/value This research enhances the knowledge of robotic chefs and contributes to understanding the role of perceived advantages in robot chef usage. Importantly, it highlights the significant role of customers’ trust and comfort in advanced technological services, such as those provided by robotic chefs, in shaping customers’ behavioral intentions and the overall dining experience.

Institutions

Publication Details

Journal
Journal of Hospitality and Tourism Technology
Published
2025-10-09
DOI
https://doi.org/10.1108/jhtt-03-2025-0180
Citations
4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
9.92
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article

Anthropomorphic robotic chef in quick-service restaurants: analysis of customers’ behavioral intentions

4 citations
Journal of Hospitality and Tourism Technology
AI in Service Interactions
9.92
article

Anthropomorphic robotic chef in quick-service restaurants: analysis of customers’ behavioral intentions

article en
4 citations

Abstract

Purpose The hospitality sector has undergone a significant transformation due to the integration of robotics. Drawing on anthropomorphism theory and cue utilization theory, this study aims to focus on a particularly unique aspect of the effect of anthropomorphic robotic chefs on customers’ behavioral intentions at quick-service restaurants. Design/methodology/approach The study employs partial least squares structural equation modeling (PLS-SEM) to test hypotheses using data from 487 samples from three quick-service chain restaurants in the USA. Findings The research results indicate that anthropomorphic robotic chefs positively influenced customers’ perceived advantages (cleanliness and food quality). Customers’ hygiene concerns moderated the relationship between anthropomorphic robotic chefs and perceived cleanliness. Originality/value This research enhances the knowledge of robotic chefs and contributes to understanding the role of perceived advantages in robot chef usage. Importantly, it highlights the significant role of customers’ trust and comfort in advanced technological services, such as those provided by robotic chefs, in shaping customers’ behavioral intentions and the overall dining experience.

Journal of Hospitality and Tourism TechnologyVol. 17(1)
Florida State University (US), South Carolina State University (US), Florida International University (US), College of Tourism (BG), Higher Institute for Tourism, Hotels and Computer (EG), University of South Florida Sarasota–Manatee (US), Alexandria University (EG)
Openalex Percentile: Top 2%
AI in Service Interactions
9.92
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