Who did what and when? The effect of chatbots’ service recovery on customer satisfaction and revisit intention
Journal of Hospitality and Tourism Technology
ISSN: 1757-9880
Article publication date: 13 April 2023
Issue publication date: 25 April 2023
Abstract
Purpose
This study aims to explore the recovery performances of chatbots (vs human employees) and help firms use chatbots to carry out effective service recovery.
Design/methodology/approach
Two experiments were conducted to test the proposed hypotheses.
Findings
The results show that compared with human employees’ recovery, chatbots’ recovery leads to lower customer satisfaction and revisit intention. This effect is more significant for symbolic recovery instead of economic recovery. Perceived distributive and interactional justice mediate the interaction effect of recovery provider and recovery strategy on recovery performance. Using immediate recovery rather than delayed recovery can attenuate chatbots’ poor performances in symbolic recovery.
Originality/value
This study enriches the chatbot research and the service recovery literature by deploying chatbots into the service recovery setting. Using an integrated theoretical model including recovery strategy and recovery timing, this study provides substantive insight into how firms can enhance chatbots’ recovery performances.
研究目的
本研究旨在探索聊天机器人(与人类员工相比)的服务补救表现, 并帮助公司使用聊天机器人进行有效的服务补救。
研究设计/方法/途径
本研究进行了两个实验来检验提出的理论假设
调查发现
结果表明, 与人类员工的服务补救相比, 聊天机器人的服务补救导致顾客满意度和再惠顾意愿降低。 这种效应对于象征补救而非功利补救更为显著。 分配公平和互动公平在服务补救提供者和补救策略的交互作用对补救表现的影响中起到了中介作用。 使用立即补救而不是延迟补救可以减轻聊天机器人象征补救方面的不良表现。
研究原创性/价值
本研究通过将聊天机器人部署到服务补救环境中丰富了聊天机器人研究和服务补救文献。 本研究通过构建包括服务补救策略和补救时机在内的综合理论模型, 为企业如何提高聊天机器人的服务补救表现提供了实质性的见解。
Keywords
Acknowledgements
This work was supported by the National Natural Science Foundation of China (72002225, 71672203), Ministry of Education of the People’s Republic of China Humanities and Social Sciences Foundation (22YJA630124) and the National Natural Science Foundation of Guangdong Province (2021A1515011899, 2023A1515010573, 2023A1515010782).
Declaration of competing interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Contributions: Yimin Zhu, Jiemin Zhang and Jifei Wu contributed equally to this work and should be considered co-first authors.
Citation
Zhu, Y., Zhang, J. and Wu, J. (2023), "Who did what and when? The effect of chatbots’ service recovery on customer satisfaction and revisit intention", Journal of Hospitality and Tourism Technology, Vol. 14 No. 3, pp. 416-429. https://doi.org/10.1108/JHTT-06-2021-0164
Publisher
:Emerald Publishing Limited
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