礼貌
聊天机器人
礼貌理论
机制(生物学)
服务(商务)
心理学
服务补救
能力(人力资源)
面子(社会学概念)
知识管理
语言学
业务
社会心理学
互联网隐私
万维网
计算机科学
认识论
营销
哲学
政治学
服务质量
法学
作者
Mengmeng Song,Huixian Zhang,Xinyu Xing,Yucong Duan
标识
DOI:10.1016/j.jretconser.2023.103323
摘要
Failures in human-chatbot interactions are becoming inevitable such as failure of chatbots to maintain contextual awareness. Thus, an effective service recovery strategy is essential for e-commerce enterprises to restore customers and resolve their complaints. Therefore, based on politeness theory, this study explores the fundamental mechanism and boundary conditions for a chatbot politeness strategy (appreciation vs. apology) on consumers' post-recovery satisfaction using four scenario-based experiments. The results indicate that establishing a good human-chatbot relationship (appreciation) is a more effective recovery strategy than admitting the chatbot's limited competence (apology) in redressing service failures; face concern mediates the effect of the politeness strategy on post-recovery satisfaction; and time pressure plays a moderating role in the effect of the politeness strategy on face concern and post-recovery satisfaction. This study extends the research of politeness theory and face concern in the field of chatbot marketing, and provide practical guidance for e-commerce enterprises to deal effectively with chatbot failure.
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