IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812778666_0005.html
   My bibliography  Save this book chapter

An Examination Of Determinants Of Likelihood Of Consideration Of Counterfeit Luxury Branded Products

In: Advances In Doctoral Research In Management

Author

Listed:
  • Xuemei Bian

    (University of Hull, UK)

Abstract

This study examines the determinants of likelihood of consideration of counterfeit branded luxury handbags in the context of nondeceptive counterfeiting. The effects of consumer-perceived brand personality, benefits, product attributes, perceived risks, and consumer demographic variables are anticipated and explored. Focus groups are used to generate criteria which consumers used to evaluate studied brands, and an interview survey is used to collect data for the main study. SPSS and R software are used to analyze data. Generalised linear model analyses reveal that the brand personality is the dominant factor in determining the likelihood of the consideration of the counterfeit branded luxury products. In general, the perceived risks and the demographic variables do not appear to be significantly influential on the formation of the consideration set in the context of nondeceptive counterfeiting. In addition, factor analysis results provide empirical evidence on Plummer's (2000, 1985). Brand image components notion and further suggest that the perceived risks shall not be regarded as part of the benefit/consequence component of brand image concept.

Suggested Citation

  • Xuemei Bian, 2008. "An Examination Of Determinants Of Likelihood Of Consideration Of Counterfeit Luxury Branded Products," World Scientific Book Chapters, in: Luiz Moutinho & Kun-Huang Huarng (ed.), Advances In Doctoral Research In Management, chapter 5, pages 77-102, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812778666_0005
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812778666_0005
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812778666_0005
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Doctoral; Research; Management Methodology; Data; Analysis; Paradigm; Modeling; International; Management Theory; Statistics; Market Survey;
    All these keywords.

    JEL classification:

    • F1 - International Economics - - Trade

    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:wsi:wschap:9789812778666_0005. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.