IDEAS home Printed from https://ideas.repec.org/a/kap/mktlet/v33y2022i1d10.1007_s11002-021-09587-3.html
   My bibliography  Save this article

Anthropomorphized artificial intelligence, attachment, and consumer behavior

Author

Listed:
  • Erik Hermann

    (IHP - Leibniz-Institut für innovative Mikroelektronik)

Abstract

The increasing humanization and emotional intelligence of AI applications have the potential to induce consumers’ attachment to AI and to transform human-to-AI interactions into human-to-human-like interactions. In turn, consumer behavior as well as consumers’ individual and social lives can be affected in various ways. Following this reasoning, I illustrate the implications and research opportunities related to consumers’ (potential) attachment to humanized AI applications along the stages of the consumption process.

Suggested Citation

  • Erik Hermann, 2022. "Anthropomorphized artificial intelligence, attachment, and consumer behavior," Marketing Letters, Springer, vol. 33(1), pages 157-162, March.
  • Handle: RePEc:kap:mktlet:v:33:y:2022:i:1:d:10.1007_s11002-021-09587-3
    DOI: 10.1007/s11002-021-09587-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11002-021-09587-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11002-021-09587-3?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. Rik Pieters, 2013. "Bidirectional Dynamics of Materialism and Loneliness: Not Just a Vicious Cycle," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(4), pages 615-631.
    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.
    3. 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.
    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. Kim, Jungkeun & Kim, Jeong Hyun & Kim, Changju & Park, Jooyoung, 2023. "Decisions with ChatGPT: Reexamining choice overload in ChatGPT recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Kang, Weiyao & Shao, Bingjia & Du, Shan & Chen, Hongquan & Zhang, Yong, 2024. "How to improve voice assistant evaluations: Understanding the role of attachment with a socio-technical systems perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. Gustavo Vicencio-Ríos & Andrés Rubio & Luis Araya-Castillo & Hugo Moraga-Flores, 2022. "Scientometric Analysis of Brand Personality," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    4. Aparna A. Labroo & Natalie Mizik & Russell Winer, 2022. "Sparking conversations: Editors’ Pick with commentaries and thematic article compilations," Marketing Letters, Springer, vol. 33(1), pages 1-4, March.

    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. 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).
    2. 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.
    3. Stephanie M. Noble & Martin Mende, 2023. "The future of artificial intelligence and robotics in the retail and service sector: Sketching the field of consumer-robot-experiences," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 747-756, July.
    4. Hu, Peng & Gong, Yeming & Lu, Yaobin & Ding, Amy Wenxuan, 2023. "Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 109-127.
    5. 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.
    6. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    7. Stefano Bartolini & Francesco Sarracino, 2021. "Happier and Sustainable. Possibilities for a post-growth society," Department of Economics University of Siena 855, Department of Economics, University of Siena.
    8. 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.
    9. Zhao, Taiyang & Lu, Yan & Lynette Wang, Valerie & Wu, Banggang & Chen, Zhi & Song, Wei & Zhou, Liying, 2023. "Shared but unhappy? Detrimental effects of using shared products on psychological ownership and consumer happiness," Journal of Business Research, Elsevier, vol. 169(C).
    10. 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.
    11. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    12. Blut, Markus & Ghiassaleh, Arezou & Wang, Cheng, 2023. "Testing the performance of online recommendation agents: A meta-analysis," Journal of Retailing, Elsevier, vol. 99(3), pages 440-459.
    13. Ding, Bin & Li, Yameng & Miah, Shah & Liu, Wei, 2024. "Customer acceptance of frontline social robots—Human-robot interaction as boundary condition," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    14. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    15. Rob Kim Marjerison & Youran Zhang & Hanyi Zheng, 2022. "AI in E-Commerce: Application of the Use and Gratification Model to The Acceptance of Chatbots," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    16. Poushneh, Atieh & Vasquez-Parraga, Arturo & Gearhart, Richard S., 2024. "The effect of empathetic response and consumers’ narcissism in voice-based artificial intelligence," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    17. Mengjun Li & Ayoung Suh, 2022. "Anthropomorphism in AI-enabled technology: A literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2245-2275, December.
    18. Mari, Alex & Mandelli, Andreina & Algesheimer, René, 2024. "Empathic voice assistants: Enhancing consumer responses in voice commerce," Journal of Business Research, Elsevier, vol. 175(C).
    19. 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).
    20. Lars Meyer-Waarden & Julien Cloarec, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Post-Print hal-03385891, HAL.

    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:kap:mktlet:v:33:y:2022:i:1:d:10.1007_s11002-021-09587-3. 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.