IDEAS home Printed from https://ideas.repec.org/a/taf/rgfmxx/v5y2014i1p60-73.html
   My bibliography  Save this article

Young consumers and retail borrowing: application of the theory of planned behavior

Author

Listed:
  • Jung Mee Mun
  • Hae Won Ju
  • Kim K.P. Johnson

Abstract

Retail borrowing entails customers violating retailers' return policies by purchasing goods with the intention of using and then returning them. Our research purpose was to investigate consumer motivations that may underlie their attitude toward retail borrowing and to test the underlying mechanism of borrowing intention by utilizing the theory of planned behavior. Data were collected through an online survey of 276 female undergraduates. Past retail borrowing experience and the perception that retail borrowing had no negative impact on retailers were significantly related to participants' attitude toward retail borrowing. Attitude, subjective norm, and perceived behavioral control contributed significantly to retail borrowing intention, with subjective norm exerting the greatest influence. In addition, two additional paths were tested that significantly improved the explanatory power of the theory of planned behavior and prediction of retail borrowing intention. Implications of these findings concerning retail borrowing behavior are discussed and suggestions for future research are provided.

Suggested Citation

  • Jung Mee Mun & Hae Won Ju & Kim K.P. Johnson, 2014. "Young consumers and retail borrowing: application of the theory of planned behavior," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 5(1), pages 60-73, January.
  • Handle: RePEc:taf:rgfmxx:v:5:y:2014:i:1:p:60-73
    DOI: 10.1080/20932685.2013.860731
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20932685.2013.860731
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20932685.2013.860731?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. Huixin Liu & Feng Du, 2023. "Research on E-Commerce Platforms’ Return Policies Considering Consumers Abusing Return Policies," Sustainability, MDPI, vol. 15(18), pages 1-19, September.

    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:5:y:2014:i:1:p:60-73. 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.