IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v81y2024ics096969892400287x.html
   My bibliography  Save this article

Boosting Sports Card Sales: Leveraging Visual Display and Machine Learning in Online Retail

Author

Listed:
  • Yang, Yutao
  • Lan, Tian

Abstract

Trading cards are a fast-growing industry. However, previous research in sports merchandise has largely overlooked the role of cards’ visual appeal in online-commerce. This study addresses this gap by analyzing over 7000 samples from a leading sports card trading platform. Using computer vision algorithms (Mask R–CNN) and a machine learning algorithm (CatBoost), we unveil the importance of 12 image display attributes and their relationship with the card premium rate. Moreover, we identify inverted U-shaped relationships with attributes such as warm hue, saturation, and brightness. The findings offer valuable insights for card dealers to enhance product image display effectiveness.

Suggested Citation

  • Yang, Yutao & Lan, Tian, 2024. "Boosting Sports Card Sales: Leveraging Visual Display and Machine Learning in Online Retail," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:joreco:v:81:y:2024:i:c:s096969892400287x
    DOI: 10.1016/j.jretconser.2024.103991
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096969892400287X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2024.103991?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.

    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:eee:joreco:v:81:y:2024:i:c:s096969892400287x. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.