IDEAS home Printed from https://ideas.repec.org/a/taf/rgfmxx/v15y2024i3p341-356.html
   My bibliography  Save this article

Sustainable style without stigma: Can norms and social reassurance influence secondhand fashion recommendation behavior among Gen Z?

Author

Listed:
  • Sophia Boyer
  • Ziyou Jiang
  • Jewon Lyu

Abstract

Generation Z consumers are interested in sustainability issues, but they often perceive sustainable fashion as expensive, unfashionable, and inaccessible. Previous studies suggest that secondhand fashion can be a cost-effective and attractive sustainable option for Gen Z. However, lingering stigmas associated with secondhand fashion may affect their willingness to disclose and recommend secondhand shopping. By integrating Theory of Planned Behavior, Norm Activation Model, and Social Proof principle, this study identifies factors that may reduce negative perceptions of secondhand fashion. Data were collected using a convenience sample (N = 208), and PLS-SEM was used to analyze the suggested relationships. The findings of the present study expand the literature by confirming the influence of norms and influencer social reassurance on behavioral intentions. In practical terms, practitioners may create campaigns with social media influencers to reduce Gen Z’s lingering stigma toward secondhand shopping.

Suggested Citation

  • Sophia Boyer & Ziyou Jiang & Jewon Lyu, 2024. "Sustainable style without stigma: Can norms and social reassurance influence secondhand fashion recommendation behavior among Gen Z?," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 15(3), pages 341-356, July.
  • Handle: RePEc:taf:rgfmxx:v:15:y:2024:i:3:p:341-356
    DOI: 10.1080/20932685.2024.2317796
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20932685.2024.2317796
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20932685.2024.2317796?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. Zimand-Sheiner, Dorit & Lissitsa, Sabina, 2024. "Generation Z - factors predicting decline in purchase intentions after receiving negative environmental information: Fast fashion brand SHEIN as a case study," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).

    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:taf:rgfmxx:v:15:y:2024:i:3:p:341-356. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rgfm .

    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.