Customers’ acceptance of AI-powered robot chefs in casual dining restaurants

Purpose This study examines the complex realm of customers’ acceptance of AI-powered robot chefs. It aims to enhance the understanding of customers’ motivational factors that influence their acceptance of AI-powered robots for food preparation in casual-dining restaurants. Design/methodology/approach This research was conducted using a comprehensive approach. Data were collected from 520 participants at casual dining restaurants in Florida, USA. After rigorous data cleaning, 489 valid responses were obtained. The study employed partial least squares structural equation modeling (PLS-SEM) utilizing SmartPLS Ver. 4.0 to examine both the measurement and the proposed research model, ensuring a thorough and robust investigation. Findings The research results show that customers’ motivational factors, such as functionality and hedonic and cognitive innovativeness, positively influence their knowledge and attitude toward accepting robotic chefs in casual-dining restaurants. Social motivation negatively impacts customers’ knowledge, but on the other hand, it positively affects customers’ attitudes. In addition, customer knowledge and attitudes positively influence the acceptance behavior of AI-powered robot chefs. Practical implications This study provides a practical understanding of the presence and embodiment of robot chefs in casual-dining restaurants. In the restaurant industry, customer intention to accept robot chefs is a significant factor, and this study not only sheds light on this crucial aspect but also provides actionable insights for industry professionals and researchers. Originality/value Based on the existing hospitality literature, this study is one of the first to address this issue. It presents the antecedents of motivated customers’ acceptance of robot chefs based on their knowledge and attitudes toward robot chefs. In addition, this research addressed the factors that influence customers’ robot chef acceptance behavior in casual-dining restaurants.

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Publication Details

Journal
Journal of Hospitality and Tourism Insights
Published
2024-12-23
DOI
https://doi.org/10.1108/jhti-04-2024-0347
Citations
10
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
3.47
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article

Customers’ acceptance of AI-powered robot chefs in casual dining restaurants

M. Omar Parvez, Md Sazzad Hossain, Kayode Kolawole Eluwole, Mohammad Shahidul Islam
10 citations
Journal of Hospitality and Tourism Insights
AI in Service Interactions
3.47
article

Customers’ acceptance of AI-powered robot chefs in casual dining restaurants

M. Omar Parvez, Md Sazzad Hossain, Kayode Kolawole Eluwole, Mohammad Shahidul Islam
article en
10 citations

Abstract

Purpose This study examines the complex realm of customers’ acceptance of AI-powered robot chefs. It aims to enhance the understanding of customers’ motivational factors that influence their acceptance of AI-powered robots for food preparation in casual-dining restaurants. Design/methodology/approach This research was conducted using a comprehensive approach. Data were collected from 520 participants at casual dining restaurants in Florida, USA. After rigorous data cleaning, 489 valid responses were obtained. The study employed partial least squares structural equation modeling (PLS-SEM) utilizing SmartPLS Ver. 4.0 to examine both the measurement and the proposed research model, ensuring a thorough and robust investigation. Findings The research results show that customers’ motivational factors, such as functionality and hedonic and cognitive innovativeness, positively influence their knowledge and attitude toward accepting robotic chefs in casual-dining restaurants. Social motivation negatively impacts customers’ knowledge, but on the other hand, it positively affects customers’ attitudes. In addition, customer knowledge and attitudes positively influence the acceptance behavior of AI-powered robot chefs. Practical implications This study provides a practical understanding of the presence and embodiment of robot chefs in casual-dining restaurants. In the restaurant industry, customer intention to accept robot chefs is a significant factor, and this study not only sheds light on this crucial aspect but also provides actionable insights for industry professionals and researchers. Originality/value Based on the existing hospitality literature, this study is one of the first to address this issue. It presents the antecedents of motivated customers’ acceptance of robot chefs based on their knowledge and attitudes toward robot chefs. In addition, this research addressed the factors that influence customers’ robot chef acceptance behavior in casual-dining restaurants.

Journal of Hospitality and Tourism InsightsVol. 8(4)
Florida State University (US), Masaryk University (CZ), BRAC University (BD), University of Tabuk (SA)
Openalex Percentile: Top 6%
AI in Service Interactions
3.47
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