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

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  • 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
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    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.
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