IDEAS home Printed from https://ideas.repec.org/a/oup/jconrs/v50y2023i4p848-863..html

Understanding and Improving Consumer Reactions to Service Bots

Author

Listed:
  • Noah Castelo
  • Johannes Boegershausen
  • Christian Hildebrand
  • Alexander P Henkel
  • June Cotte
  • Klaus Wertenbroch

Abstract

Many firms are beginning to replace customer service employees with bots, from humanoid service robots to digital chatbots. Using real human–bot interactions in lab and field settings, we study consumers’ evaluations of bot-provided service. We find that service evaluations are more negative when the service provider is a bot versus a human—even when the provided service is identical. This effect is explained by consumers’ belief that service automation is motivated by firm benefits (i.e., cutting costs) at the expense of customer benefits (such as service quality). The effect is eliminated when firms share the economic surplus derived from automation with consumers through price discounts. The effect is reversed when service bots provide unambiguously superior service to human employees—a scenario that may soon become reality. Consumers’ default reactions to service bots are therefore largely negative but can be equal to or better than reactions to human service providers if firms can demonstrate how automation benefits consumers.

Suggested Citation

  • Noah Castelo & Johannes Boegershausen & Christian Hildebrand & Alexander P Henkel & June Cotte & Klaus Wertenbroch, 2023. "Understanding and Improving Consumer Reactions to Service Bots," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 50(4), pages 848-863.
  • Handle: RePEc:oup:jconrs:v:50:y:2023:i:4:p:848-863.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jcr/ucad023
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Zeelenberg, M. & Pieters, R., 2004. "Beyond valence in customer dissatisfaction : A review and new findings on behavioral responses to regret and disappointment in failed services," Other publications TiSEM 7bfb4aa9-cba7-4786-850d-1, Tilburg University, School of Economics and Management.
    2. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    2. Haase, Janina & Wiedmann, Klaus-Peter & Labenz, Franziska, 2022. "Brand hate, rage, anger & co.: Exploring the relevance and characteristics of negative consumer emotions toward brands," Journal of Business Research, Elsevier, vol. 152(C), pages 1-16.
    3. Katharina Klein & Luis F. Martinez, 2023. "The impact of anthropomorphism on customer satisfaction in chatbot commerce: an experimental study in the food sector," Electronic Commerce Research, Springer, vol. 23(4), pages 2789-2825, December.
    4. Aubel Martin & Pikturniene Indre & Joye Yannick, 2022. "Risk Perception and Risk Behavior in Response to Service Robot Anthropomorphism in Banking," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(2), pages 26-42, June.
    5. Cambra-Fierro, Jesus & Melero, Iguacel & Sese, F. Javier, 2015. "Managing Complaints to Improve Customer Profitability," Journal of Retailing, Elsevier, vol. 91(1), pages 109-124.
    6. EuiBeom Jeong & DonHee Lee, 2025. "AI–human collaboration in services: an integrative framework to uncover the key success factors," Service Business, Springer;Pan-Pacific Business Association, vol. 19(3), pages 1-45, September.
    7. Zuwen Huang & Ada Lo, 2025. "Human vs. robot service provider agents in service failures: comparing customer dissatisfaction and the mediating role of forgiveness and service recovery expectation," Information Technology & Tourism, Springer, vol. 27(2), pages 417-448, June.
    8. Nika Meyer (née Mozafari) & Melanie Schwede & Maik Hammerschmidt & Welf Hermann Weiger, 2022. "Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2491-2505, December.
    9. Nur’Hidayah Che Ahmat Author_Email: nurhidayahcheahmat@gmail.com & Salleh Mohd Radzi & Mohd Salehuddin Mohd Zahari & Rosmaliza Muhammad, 2011. "The Effect Of Factors Influencing The Perception Of Price Fairness Towards Customer Response Behaviors," 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding 2011-169, Conference Master Resources.
    10. Yuexian Zhang & XueYing Wang & Xin Zhao, 2025. "Supervising or assisting? The influence of virtual anchor driven by AI–human collaboration on customer engagement in live streaming e-commerce," Electronic Commerce Research, Springer, vol. 25(4), pages 3047-3070, August.
    11. Md Shamim Hossain & Mst Farjana Rahman, 2023. "Customer Sentiment Analysis and Prediction of Insurance Products’ Reviews Using Machine Learning Approaches," FIIB Business Review, , vol. 12(4), pages 386-402, December.
    12. Ivan Barreda-Tarrazona & Ainhoa Jaramillo-Gutierrez & Daniel Navarro-Martinez & Gerardo Sabater-Grande, 2014. "The role of forgone opportunities in decision making under risk," Journal of Risk and Uncertainty, Springer, vol. 49(2), pages 167-188, October.
    13. Lee, K.M.C. & Kraussl, R.G.W. & Paas, L.J., 2009. "The effect of anticipated and experienced regret and pride on investors' future selling decisions," Serie Research Memoranda 0057, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    14. Zhifang Deng & Jinzhe Yan, 2025. "The Effect of Perceived Warmth, Competence, and Social Presence of AI-Driven Chabots on Consumers’ Engagement and Satisfaction," SAGE Open, , vol. 15(3), pages 21582440251, September.
    15. McColl-Kennedy, Janet R. & Patterson, Paul G. & Smith, Amy K. & Brady, Michael K., 2009. "Customer Rage Episodes: Emotions, Expressions and Behaviors," Journal of Retailing, Elsevier, vol. 85(2), pages 222-237.
    16. Song, Mengmeng & Jiang, Wenjing & Xing, Xinyu & Mou, Jian & Duan, Yucong, 2026. "The more human-like the better? Effect of anthropomorphic level on customer intention to participate in AI service recovery," Technology in Society, Elsevier, vol. 84(C).
    17. Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
    18. Zhao, Haichuan & Song, Zisong & Cai, Zhenchuan, 2026. "Should AI or human agents handle customer complaints? Exploring the impact of agent type and complaint response type on recovery outcomes," Journal of Business Research, Elsevier, vol. 202(C).
    19. Jana Holthöwer & Jenny Doorn, 2023. "Robots do not judge: service robots can alleviate embarrassment in service encounters," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 767-784, July.
    20. Zehnle, Meike & Hildebrand, Christian & Valenzuela, Ana, 2025. "Not all AI is created equal: A meta-analysis revealing drivers of AI resistance across markets, methods, and time," International Journal of Research in Marketing, Elsevier, vol. 42(3), pages 729-751.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:jconrs:v:50:y:2023:i:4:p:848-863.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://academic.oup.com/jcr .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.