When traditional restaurants meet service robots: Consumption rituals, authenticity and brand trust

No Thumbnail Available
File version
Author(s)
Cheng, Lulu
Li, Xi
Liu, Biqiang
Cheng, Lili
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2026
Size
File type(s)
Location
License
Abstract

As robotic technology reshapes dining experiences, few studies have explored the efficacy of service robots in traditional restaurants where consumption rituals are deeply embedded. Drawing on sense-making theory, this research aims to critically examine how service provider type (human vs. robot) interacts with consumption rituals (present vs. absent) to shape brand trust in traditional restaurants. Through three controlled experiments, the findings reveal a matching effect that human servers enhance brand trust when consumption rituals are present, whereas robot servers are more effective in non-ritualistic settings. These effects are mediated by distinct authenticity perceptions: human servers strengthen moral authenticity, while robot servers enhance food authenticity. By uncovering the nuanced sense-making process underlying human-robot interactions, this research advances knowledge by identifying authenticity as a dual-pathway mechanism in ritualistic dining contexts. Practically, this research provides insights into optimizing service automation in traditional restaurants, balancing technological innovation with cultural preservation to enhance brand trust.

Journal Title

International Journal of Hospitality Management

Conference Title
Book Title
Edition
Volume

134

Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation

Cheng, L; Li, X; Liu, B; Cheng, L, When traditional restaurants meet service robots: Consumption rituals, authenticity and brand trust, International Journal of Hospitality Management, 2026, 134, pp. 104579

Collections