IDEAS home Printed from https://ideas.repec.org/a/taf/rgfmxx/v5y2014i2p103-121.html
   My bibliography  Save this article

Effect of psychological closeness on consumer attitudes toward fashion blogs: the moderating effect of fashion leadership and interpersonal LOV

Author

Listed:
  • Kim H.Y. Hahn
  • Eun-Jung Lee

Abstract

This study examines the influence of psychological closeness to a personal fashion blogger on individuals' attitude toward a fashion blog and purchase intention toward the fashion products displayed by the blogger, while examining fashion leadership (Gutman & Mills, 1982) and List of Values (LOV; Kahle, 1983) interpersonal values as moderators. A convenience sample of 171 female college students in a US university provided usable responses to the survey. Findings from hierarchical regression analysis show that consumers' perceptions of psychological closeness to a blogger affect their attitude toward the blog and their purchase intentions toward the fashion products displayed by the blogger. Fashion leadership was found to be a critical moderating factor that influences the relationship between consumer connection to a blogger and consumer responses. Implications for both researchers and marketers and suggestions for future studies are discussed.

Suggested Citation

  • Kim H.Y. Hahn & Eun-Jung Lee, 2014. "Effect of psychological closeness on consumer attitudes toward fashion blogs: the moderating effect of fashion leadership and interpersonal LOV," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 5(2), pages 103-121, April.
  • Handle: RePEc:taf:rgfmxx:v:5:y:2014:i:2:p:103-121
    DOI: 10.1080/20932685.2014.881583
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20932685.2014.881583
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20932685.2014.881583?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. Ransome Epie Bawack & Emilie Bonhoure, 2023. "Influencer is the New Recommender: insights for Theorising Social Recommender Systems," Information Systems Frontiers, Springer, vol. 25(1), pages 183-197, February.

    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:2:p:103-121. 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.