IDEAS home Printed from https://ideas.repec.org/a/spr/joamsc/v51y2023i4d10.1007_s11747-022-00862-x.html
   My bibliography  Save this article

Robots do not judge: service robots can alleviate embarrassment in service encounters

Author

Listed:
  • Jana Holthöwer

    (University of Groningen)

  • Jenny Doorn

    (University of Groningen)

Abstract

Although robots are increasingly used in service provision, research cautions that consumers are reluctant to accept service robots. Five lab, field, and online studies reveal an important boundary condition to earlier work and demonstrate that consumers perceive robots less negatively when human social presence is the source of discomfort. We show that consumers feel less judged by a robot (vs. a human) when having to engage in an embarrassing service encounter, such as when acquiring medication to treat a sexually transmitted disease or being confronted with one’s own mistakes by a frontline employee. As a consequence, consumers prefer being served by a robot instead of a human when having to acquire an embarrassing product, and a robot helps consumers to overcome their reluctance to accept the service provider’s offering when the situation becomes embarrassing. However, robot anthropomorphism moderates the effect as consumers ascribe a higher automated social presence to a highly human-like robot (vs. machine-like robot), making consumers feel more socially judged.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:joamsc:v:51:y:2023:i:4:d:10.1007_s11747-022-00862-x
    DOI: 10.1007/s11747-022-00862-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11747-022-00862-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11747-022-00862-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jennifer J. Argo & Darren W. Dahl & Rajesh V. Manchanda, 2005. "The Influence of a Mere Social Presence in a Retail Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 207-212, September.
    2. Daniella Kupor & Kristin Laurin & Chris Janiszewski & J Jeffrey Inman, 2020. "Probable Cause: The Influence of Prior Probabilities on Forecasts and Perceptions of Magnitude [Perceived Intent Motivates People to Magnify Observed Harms]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(5), pages 833-852.
    3. 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.
    4. Dahl, Darren W & Manchanda, Rajesh V & Argo, Jennifer J, 2001. "Embarrassment in Consumer Purchase: The Roles of Social Presence and Purchase Familiarity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 473-481, December.
    5. Dhruv Grewal & Stephanie M. Noble & Anne L. Roggeveen & Jens Nordfalt, 2020. "The future of in-store technology," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 96-113, January.
    6. Seo Young Kim & Bernd H. Schmitt & Nadia M. Thalmann, 2019. "Eliza in the uncanny valley: anthropomorphizing consumer robots increases their perceived warmth but decreases liking," Marketing Letters, Springer, vol. 30(1), pages 1-12, March.
    7. Habel, Johannes & Alavi, Sascha & Pick, Doreén, 2017. "When serving customers includes correcting them: Understanding the ambivalent effects of enforcing service rules," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 919-941.
    8. Sean Blair & Neal J. Roese, 2013. "Balancing the Basket: The Role of Shopping Basket Composition in Embarrassment," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(4), pages 676-691.
    9. He, Yi & Chen, Qimei & Alden, Dana L., 2012. "Consumption in the public eye: The influence of social presence on service experience," Journal of Business Research, Elsevier, vol. 65(3), pages 302-310.
    10. Grace, Debra, 2009. "An examination of consumer embarrassment and repatronage intentions in the context of emotional service encounters," Journal of Retailing and Consumer Services, Elsevier, vol. 16(1), pages 1-9.
    11. 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.
    12. Esmark Jones, Carol L. & Barney, Christian & Farmer, Adam, 2018. "Appreciating Anonymity: An Exploration of Embarrassing Products and the Power of Blending In," Journal of Retailing, Elsevier, vol. 94(2), pages 186-202.
    13. 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.
    14. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    15. V. Kumar & Ashutosh Dixit & Rajshekar (Raj) G. Javalgi & Mayukh Dass, 2016. "Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 24-45, January.
    16. Pankaj Aggarwal & Ann L. Mcgill, 2012. "When Brands Seem Human, Do Humans Act Like Brands? Automatic Behavioral Priming Effects of Brand Anthropomorphism," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(2), pages 307-323.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hermann, Erik & Puntoni, Stefano, 2024. "Artificial intelligence and consumer behavior: From predictive to generative AI," Journal of Business Research, Elsevier, vol. 180(C).
    2. Erik Hermann & Gizem Yalcin Williams & Stefano Puntoni, 2024. "Deploying artificial intelligence in services to AID vulnerable consumers," Journal of the Academy of Marketing Science, Springer, vol. 52(5), pages 1431-1451, October.
    3. Yang, Yikai & Zheng, Jiehui & Yu, Yining & Qiu, Yiling & Wang, Lei, 2024. "The role of recommendation sources and attribute framing in online product recommendations," Journal of Business Research, Elsevier, vol. 174(C).
    4. Flavián, Carlos & Belk, Russell W. & Belanche, Daniel & Casaló, Luis V., 2024. "Automated social presence in AI: Avoiding consumer psychological tensions to improve service value," Journal of Business Research, Elsevier, vol. 175(C).
    5. Mourelatos, Evangelos & Zervas, Panagiotis & Lagios, Dimitris & Tzimas, Giannis, 2024. "Can AI Bridge the Gender Gap in Competitiveness?," GLO Discussion Paper Series 1404, Global Labor Organization (GLO).

    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. Mari, Alex & Mandelli, Andreina & Algesheimer, René, 2024. "Empathic voice assistants: Enhancing consumer responses in voice commerce," Journal of Business Research, Elsevier, vol. 175(C).
    2. Zhang, Yaqiong & Wang, Shifu, 2023. "The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    3. Barney, Christian & Jones, Carol L. Esmark & Farmer, Adam, 2020. "Approacher be-wear? Increasing shopper approach intentions through employee apparel," Journal of Business Research, Elsevier, vol. 108(C), pages 401-416.
    4. Park, Yookyung & Yi, Youjae, 2022. "Is a gift on sale “heart-discounted†? Givers’ misprediction on the value of discounted gifts and the influence of service robots," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    5. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
    6. Uhrich, Sebastian & Tombs, Alastair, 2014. "Retail customers' self-awareness: The deindividuation effects of others," Journal of Business Research, Elsevier, vol. 67(7), pages 1439-1446.
    7. Ziegler, Alexander H. & Allen, Alexis M. & Peloza, John & Ian Norris, J., 2022. "The nature of vicarious embarrassment," Journal of Business Research, Elsevier, vol. 153(C), pages 355-364.
    8. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
    9. Yuping Liu-Thompkins & Shintaro Okazaki & Hairong Li, 2022. "Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1198-1218, November.
    10. Jordan W. Moffett & Judith Anne Garretson Folse & Robert W. Palmatier, 2021. "A theory of multiformat communication: mechanisms, dynamics, and strategies," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 441-461, May.
    11. 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.
    12. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    13. Pappas, Alec & Fumagalli, Elena & Rouziou, Maria & Bolander, Willy, 2023. "More than Machines: The Role of the Future Retail Salesperson in Enhancing the Customer Experience," Journal of Retailing, Elsevier, vol. 99(4), pages 518-531.
    14. Roggeveen, Anne L. & Grewal, Dhruv & Karsberg, John & Noble, Stephanie M. & Nordfält, Jens & Patrick, Vanessa M. & Schweiger, Elisa & Soysal, Gonca & Dillard, Annemarie & Cooper, Nora & Olson, Richard, 2021. "Forging meaningful consumer-brand relationships through creative merchandise offerings and innovative merchandising strategies," Journal of Retailing, Elsevier, vol. 97(1), pages 81-98.
    15. Peng, Leiqing & Luo, Mengting & Guo, Yulang, 2023. "Deposit AI as the “invisible hand†to make the resale easier: A moderated mediation model," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    16. Yang, Yikai & Zheng, Jiehui & Yu, Yining & Qiu, Yiling & Wang, Lei, 2024. "The role of recommendation sources and attribute framing in online product recommendations," Journal of Business Research, Elsevier, vol. 174(C).
    17. Guha, Abhijit & Grewal, Dhruv & Kopalle, Praveen K. & Haenlein, Michael & Schneider, Matthew J. & Jung, Hyunseok & Moustafa, Rida & Hegde, Dinesh R. & Hawkins, Gary, 2021. "How artificial intelligence will affect the future of retailing," Journal of Retailing, Elsevier, vol. 97(1), pages 28-41.
    18. Yao, Qi & Hu, Chao & Zhou, Wenkai, 2024. "The impact of customer privacy concerns on service robot adoption intentions: A credence/experience service typology perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    19. Roshni Raveendhran & Nathanael J. Fast, 2024. "When and why consumers prefer human-free behavior tracking products," Marketing Letters, Springer, vol. 35(3), pages 395-408, September.
    20. Alabed, Amani & Javornik, Ana & Gregory-Smith, Diana, 2022. "AI anthropomorphism and its effect on users' self-congruence and self–AI integration: A theoretical framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    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:spr:joamsc:v:51:y:2023:i:4:d:10.1007_s11747-022-00862-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.