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Chatbots and service failure: When does it lead to customer aggression

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  • Huang, Yu-Shan (Sandy)
  • Dootson, Paula

Abstract

Artificial intelligence technology is changing the way services are delivered and introducing opportunities for new sources of service failure. The purpose of this paper is to examine how customers might respond (emotion- or problem-focused coping) to service failure of a chatbot when there is an option to interact with a human employee. Using data from 145 participants, we found that in a chatbot service failure context, telling a customer late in the service interaction that a human employee is available to help leads customers to engage in emotion-focused coping, resulting in customer aggression. The positive relationship between late disclosure and emotion-focused coping occurs with those who perceive low customer participation whereby they do not believe they are overly involved in co-producing and co-delivering the service. This research demonstrates how chatbot service failure in a service encounter can produce different effects on customers’ intention to engage in aggression.

Suggested Citation

  • Huang, Yu-Shan (Sandy) & Dootson, Paula, 2022. "Chatbots and service failure: When does it lead to customer aggression," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:joreco:v:68:y:2022:i:c:s0969698922001370
    DOI: 10.1016/j.jretconser.2022.103044
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    as
    1. Baek, Eunsoo & Huang, Zhihong & Hwan (Mark) Lee, Seung, 2021. "More than what meets the eye: Understanding the effects of poly-contextual cues in online fashion retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    2. McLean, Graeme & Osei-Frimpong, Kofi, 2019. "Chat now… Examining the variables influencing the use of online live chat," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 55-67.
    3. Prentice, Catherine & Nguyen, Mai, 2020. "Engaging and retaining customers with AI and employee service," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    4. Bateson, John E G & Hui, Michael K, 1992. "The Ecological Validity of Photographic Slides and Videotapes in Simulating the Service Setting," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(2), pages 271-281, September.
    5. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    6. Chung, Minjee & Ko, Eunju & Joung, Heerim & Kim, Sang Jin, 2020. "Chatbot e-service and customer satisfaction regarding luxury brands," Journal of Business Research, Elsevier, vol. 117(C), pages 587-595.
    7. Bagherzadeh, Ramin & Rawal, Monika & Wei, Shuqin & Saavedra Torres, Jose Luis, 2020. "The journey from customer participation in service failure to co-creation in service recovery," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    8. Ming-Hui Huang & Roland T. Rust, 2017. "Technology-driven service strategy," Journal of the Academy of Marketing Science, Springer, vol. 45(6), pages 906-924, November.
    9. Przegalinska, Aleksandra & Ciechanowski, Leon & Stroz, Anna & Gloor, Peter & Mazurek, Grzegorz, 2019. "In bot we trust: A new methodology of chatbot performance measures," Business Horizons, Elsevier, vol. 62(6), pages 785-797.
    10. Sheehan, Ben & Jin, Hyun Seung & Gottlieb, Udo, 2020. "Customer service chatbots: Anthropomorphism and adoption," Journal of Business Research, Elsevier, vol. 115(C), pages 14-24.
    11. Soderlund, Magnus & Oikarinen, Eeva-Liisa & Tan, Teck Ming, 2021. "The happy virtual agent and its impact on the human customer in the service encounter," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    12. Khantimirov, Denis & Karande, Kiran & Ford, John, 2020. "Dissatisfaction after service failures as a realized transaction risk: Customer opportunism as a function of external and internal rewards," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    13. Harun, Ahasan & Rokonuzzaman, Md, 2021. "Pursuit of loyalty in service recovery: The roles of brand equity and cognitive reappraisal as moderators," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    14. Yu-Shan (Sandy) Huang & Wei-Kang Kao, 2021. "Chatbot service usage during a pandemic: fear and social distancing," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 964-984, October.
    15. Martin Adam & Michael Wessel & Alexander Benlian, 2021. "AI-based chatbots in customer service and their effects on user compliance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 427-445, June.
    16. Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    17. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    18. Fullerton, R. A. & Punj, G., 2004. "Repercussions of promoting an ideology of consumption: consumer misbehavior," Journal of Business Research, Elsevier, vol. 57(11), pages 1239-1249, November.
    19. Robinson, Stacey & Orsingher, Chiara & Alkire, Linda & De Keyser, Arne & Giebelhausen, Michael & Papamichail, K. Nadia & Shams, Poja & Temerak, Mohamed Sobhy, 2020. "Frontline encounters of the AI kind: An evolved service encounter framework," Journal of Business Research, Elsevier, vol. 116(C), pages 366-376.
    20. De Keyser, Arne & Schepers, Jeroen & Konuş, Umut, 2015. "Multichannel customer segmentation: Does the after-sales channel matter? A replication and extension," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 453-456.
    21. Elizabeth Gelfand Miller & Barbara E. Kahn & Mary Frances Luce, 2008. "Consumer Wait Management Strategies for Negative Service Events: A Coping Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(5), pages 635-648, August.
    22. Luo, Anqi & Ye, Tian & Xue, Xunyue & Mattila, Anna S., 2021. "Appreciation vs. apology: When and why does face covering requirement increase revisit intention?," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    23. Chong, Terrence & Yu, Ting & Keeling, Debbie Isobel & de Ruyter, Ko, 2021. "AI-chatbots on the services frontline addressing the challenges and opportunities of agency," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    24. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    25. Bandyopadhyay, Argho & Septianto, Felix & Nallaperuma, Kaushalya, 2021. "How scolding can encourage consumer engagement with plastic waste issue? The moderating role of consumers’ mindset," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    26. Laroche, Michel & Li, Rong & Richard, Marie-Odile & Zhou, Mi, 2022. "An investigation into online atmospherics: The effect of animated images on emotions, cognition, and purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    27. Carlson, Jay P. & Paul, Iman, 2022. "Pick a card: Price ranges and gift card choice," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    28. Reynolds, Kate L. & Harris, Lloyd C., 2009. "Dysfunctional Customer Behavior Severity: An Empirical Examination," Journal of Retailing, Elsevier, vol. 85(3), pages 321-335.
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    Cited by:

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    2. Shang, Dawei & Wu, Weiwei & Schroeder, Daniel, 2023. "Exploring determinants of the green smart technology product adoption from a sustainability adapted value-belief-norm perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    3. Song, Mengmeng & Zhang, Huixian & Xing, Xinyu & Duan, Yucong, 2023. "Appreciation vs. apology: Research on the influence mechanism of chatbot service recovery based on politeness theory," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    4. Xu, Ying & Niu, Nan & Zhao, Zixiang, 2023. "Dissecting the mixed effects of human-customer service chatbot interaction on customer satisfaction: An explanation from temporal and conversational cues," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    5. Aslam, Usman, 2023. "Understanding the usability of retail fashion brand chatbots: Evidence from customer expectations and experiences," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    6. Mortimer, Gary & Wang, Shasha & Osorio Andrade, María Lucila, 2023. "Measuring customer aggression: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Li, Meichan & Wang, Rui, 2023. "Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).

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