IDEAS home Printed from https://ideas.repec.org/a/vrs/econom/v5y2017i1p125-136n7.html
   My bibliography  Save this article

Model of Consumer Behaviour - Feminine Hygiene

Author

Listed:
  • Rihtaršič Tanja

    (Gea College Faculty of Entrepreneurship, Ljubljana, Slovenia)

  • Rihtaršič Matjaž

    (Gea College – Centre of Higher Vocational Schools, Ljubljana, Slovenia)

Abstract

This article starts with a review of different recent theoretical views and positions on culture, menstruation taboos, and ethical consumer behaviour. We performed a quantitative research in England, Germany, Slovenia and Sweden on 1,081 responding female students about the effect of cultural and sociological factors on female consumer behaviour when buying feminine hygiene products. Countries were selected depending on different cultures, religions and consumer behaviour. Based on the acquired results, we established a structural model of female consumer behaviour in the selected countries. This model showed a spiral transfer of cultural limitations and prejudices to the respondent students through the environment.

Suggested Citation

  • Rihtaršič Tanja & Rihtaršič Matjaž, 2017. "Model of Consumer Behaviour - Feminine Hygiene," Economics, Sciendo, vol. 5(1), pages 125-136, June.
  • Handle: RePEc:vrs:econom:v:5:y:2017:i:1:p:125-136:n:7
    DOI: 10.1515/eoik-2017-0015
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/eoik-2017-0015
    Download Restriction: no

    File URL: https://libkey.io/10.1515/eoik-2017-0015?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
    ---><---

    More about this item

    Keywords

    model of consumer behaviour; ethical consumerism; culture; taboo; feminine hygiene;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    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:vrs:econom:v:5:y:2017:i:1:p:125-136:n:7. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.