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When Guests Abuse Service Robots: Employees’ Intervention and Retaliation Intentions
Journal article   Open access   Peer reviewed

When Guests Abuse Service Robots: Employees’ Intervention and Retaliation Intentions

Erin Chao Ling, Hongbo (Daisy) Liu, Shi (Tracy) Xu and Zhiwei (CJ) Lin
Cornell Hospitality Quarterly, Vol.Onlinefirst(Onlinefirst)
26/10/2026

Abstract

employee responses hospitality intervention retaliation robot abuse service robot
Service robots in hospitality face increasing abuse, yet employee responses to such incidents remain underexamined. Using an experimental design approach, this study explores how abuse type (verbal vs. physical) and perpetrator type (child vs. adult) jointly affect intervention and retaliation intentions of employees. The results revealed that verbal abuse by children elicited stronger intervention and retaliation intentions in hospitality employees, with their sympathy toward the robot mediating this effect. This study contributes to deontic justice theory by extending its application from human victims to non-human agents (e.g., service robots), and by demonstrating that justice-related responses are jointly shaped by both the severity of the abusive act and the social identity of the perpetrator. Practically, this research yields practical guidance for hospitality workplaces on service robot abuse incidents, including training employees to work alongside service robots, the design of robot responses, and organizational policy.
url
https://doi.org/10.1177/19389655261496888View
Published (Version of record) Open CC BY-NC V4.0

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