IDEAS home Printed from https://ideas.repec.org/a/ucp/jacres/doi10.1086-714503.html
   My bibliography  Save this article

Does Consumer Promiscuity Influence Purchase Intent? The Role of Artificial Intelligence (AI), Change Seeking, and Pride

Author

Listed:
  • Patrick van Esch
  • Yuanyuan (Gina) Cui

Abstract

Literature has examined sexual promiscuity as a maladaptive outcome. In this research, we investigate promiscuity vis-à-vis choice of checkout mode (type) and purchase intent. In a retail setting, across two field studies and one online experiment, we find that retail checkouts enabled with artificial intelligence (AI) stimulate higher purchase intent but only for low promiscuous consumers (Study 1). This effect is driven by change-seeking motivation for this specific segment of consumers (Study 2). We further determine that this unintended effect of promiscuity and checkout mode is present for low promiscuous consumers experiencing a low level of pride at the checkout but not for those possessing a high level of pride (Study 3). The article concludes with contributions to and implications for theory and practice and a research agenda to guide future inquiries in this underresearched area.

Suggested Citation

  • Patrick van Esch & Yuanyuan (Gina) Cui, 2021. "Does Consumer Promiscuity Influence Purchase Intent? The Role of Artificial Intelligence (AI), Change Seeking, and Pride," Journal of the Association for Consumer Research, University of Chicago Press, vol. 6(3), pages 394-401.
  • Handle: RePEc:ucp:jacres:doi:10.1086/714503
    DOI: 10.1086/714503
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/714503
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/714503
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/714503?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.

    Citations

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


    Cited by:

    1. Rahman, Muhammad Sabbir & Bag, Surajit & Hossain, Md Afnan & Abdel Fattah, Fadi Abdel Muniem & Gani, Mohammad Osman & Rana, Nripendra P., 2023. "The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    2. Sestino, Andrea & Peluso, Alessandro M. & Amatulli, Cesare & Guido, Gianluigi, 2022. "Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars," Technology in Society, Elsevier, vol. 70(C).
    3. Cui, Yuanyuan (Gina) & van Esch, Patrick & Das, Gopal & Jain, Shailendra, 2022. "“Surge price precision and political ideology”," Journal of Business Research, Elsevier, vol. 143(C), pages 214-224.
    4. Yuanyuan Zhou & Zhuoying Fei & Yuanqiong He & Zhilin Yang, 2022. "How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment," Journal of Business Ethics, Springer, vol. 178(3), pages 849-865, July.

    More about this item

    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:ucp:jacres:doi:10.1086/714503. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JACR .

    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.