聊天机器人
移情
阿凡达
无礼
心理学
服务(商务)
计算机科学
客户关系管理
社会心理学
恐怖谷理论
调解
客户服务
脚本语言
社会化媒体
知识管理
人际交往
应用心理学
移情关怀
情商
客户的声音
作者
Vida Siahtiri,Achini Adikari,Damminda Alahakoon
出处
期刊:Internet Research
[Emerald Publishing Limited]
日期:2026-09-25
卷期号:36 (7): 199-220
标识
DOI:10.1108/intr-12-2025-2020
摘要
Purpose This study examines how chatbot capability failures lead to customers' incivility in AI-enabled service delivery through customers' emotional responses. It also investigates whether chatbot-expressed empathy, as a recovery-oriented capability, weakens or intensifies the relationship between customers' negative emotions and incivility. Design/methodology/approach Drawing on social response theory, we analyzed 32,586 text conversations from a university library chatbot using a framework that combines natural language processing and supervised machine learning to extract the constructs of interest. We then estimated a moderated mediation model using PROCESS to examine the proposed relationships. Findings The study identified chatbot capability failures and empathy, customer digital incivility and customer emotional profiles. The findings showed that technical and functional chatbot capability failures elicited negative customer emotions, and that these negative emotions fully mediated the relationship between chatbot capability failures and customer incivility behaviors. Although we anticipated that chatbot empathy, as a recovery-oriented capability, would mitigate the effect of negative emotions on incivility, the findings revealed the opposite: empathy strengthened rather than attenuated this effect. We termed this paradox the “empathy backfire,” indicating that empathic expressions alone were insufficient and could even intensify customer incivility when they were not matched by adequate chatbot capability. Originality/value The study advances social response theory by revealing a counterintuitive empathy backfire effect in which chatbot empathy intensifies, rather than mitigates, customer incivility behaviors. Although empathy often helps mitigate the negative effects of service failure on customer behavior in human interactions, managers should not assume that empathetic language embedded in chatbot scripts will produce comparable benefits.
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