聊天机器人
期望理论
背景(考古学)
愤怒
责备
服务(商务)
顾客满意度
心理学
集合(抽象数据类型)
客户服务
业务
营销
计算机科学
社会心理学
万维网
古生物学
程序设计语言
生物
作者
Cammy Crolic,Felipe Thomaz,Rhonda Hadi,Andrew T. Stephen
标识
DOI:10.1177/00222429211045687
摘要
Chatbots have become common in digital customer service contexts across many industries. While many companies choose to humanize their customer service chatbots (e.g., giving them names and avatars), little is known about how anthropomorphism influences customer responses to chatbots in service settings. Across five studies, including an analysis of a large real-world data set from an international telecommunications company and four experiments, the authors find that when customers enter a chatbot-led service interaction in an angry emotional state, chatbot anthropomorphism has a negative effect on customer satisfaction, overall firm evaluation, and subsequent purchase intentions. However, this is not the case for customers in nonangry emotional states. The authors uncover the underlying mechanism driving this negative effect (expectancy violations caused by inflated pre-encounter expectations of chatbot efficacy) and offer practical implications for managers. These findings suggest that it is important to both carefully design chatbots and consider the emotional context in which they are used, particularly in customer service interactions that involve resolving problems or handling complaints.
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