A natural apology is sincere: Understanding chatbots' performance in symbolic recovery

自然(考古学) 心理学 社会心理学 业务 法律与经济学 社会学 历史 考古
作者
Jiemin Zhang,Yimin Zhu,Jifei Wu,Grace Fang Yu-Buck
出处
期刊:International Journal of Hospitality Management [Elsevier]
卷期号:108: 103387-103387 被引量:65
标识
DOI:10.1016/j.ijhm.2022.103387
摘要

Although chatbots have been widely used in dealing with service complaints, knowledge about the recovery performance of chatbots is limited. Drawing upon lay belief and emotional competence theory, this research explores symbolic recovery performances of chatbots in two experimental studies. The results show that symbolic recovery from chatbots leads to lower customer satisfaction than symbolic recovery from human employees due to the lay belief that chatbots lack emotional competence. Perceived naturalness and perceived sincerity play a sequential mediating role. Customers perceive chatbots' symbolic recovery to be less natural than that of human employees. Less natural recovery is perceived to be less sincere, thus decreasing customer satisfaction with the recovery. Changing perceived diagnosticity of the lay belief can improve customer satisfaction with chatbots' symbolic recovery. This research enriches theoretical research on symbolic recovery and chatbots, providing information for how companies can effectively use chatbots to make an appropriate recovery. • The study explores the recovery performance of chatbots. • Using chatbots to handle customer complaints leads to lower satisfaction relative to humans usually. • Chatbots' apology is viewed as unnatural and insincere by most customers. • Changing the beliefs that chatbots lack emotional competence can improve customer satisfaction in this area.
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