IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812796622_0018.html
   My bibliography  Save this book chapter

Testing And Validating The Lov Scale Of Values In An Organic-Food-Purchase-Context

In: Marketing Trends For Organic Food In The 21st Century

Author

Listed:
  • GEORGE M. CHRYSSOCHOIDIS

    (Agricultural University of Athens, Greece)

Abstract

The term “value” has been defined as an enduring prescriptive or proscriptive belief. The LOV typology of values has been extensively used in the past and makes a distinction between external (relations-oriented), interpersonal (fun) and internal (self-directed) values. We employ Confirmatory Factor Analysis to test and validate the LOV scale in an organic Greek consumers' context using empirical data. The structure of the LOV scale repeats itself in this context. This happens despite the sample being drawn from Greece which holds a completely different position to that of the US according to Hosftede's dimensions of cultural differences. Nonetheless, the relationship between the value factors reflects these differences.

Suggested Citation

  • George M. Chryssochoidis, 2004. "Testing And Validating The Lov Scale Of Values In An Organic-Food-Purchase-Context," World Scientific Book Chapters, in: George Baourakis (ed.), Marketing Trends For Organic Food In The 21st Century, chapter 18, pages 291-301, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812796622_0018
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812796622_0018
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812796622_0018
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. GwanSeon Kim & Jun Ho Seok & Tyler B. Mark, 2018. "New Market Opportunities and Consumer Heterogeneity in the U.S. Organic Food Market," Sustainability, MDPI, vol. 10(9), pages 1-17, September.

    More about this item

    Keywords

    Market Research; Marketing Strategies; Marketing Mix; Purchasing Behavior; Strategic Marketing;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

    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:9789812796622_0018. 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.