IDEAS home Printed from https://ideas.repec.org/a/taf/ragrxx/v56y2017i2p173-190.html
   My bibliography  Save this article

The effect of emotions on purchase behaviour towards novel foods. An application of Means–End chain methodology

Author

Listed:
  • Ramo Barrena
  • Teresa García
  • Mercedes Sánchez

Abstract

This study performs an a priori segmentation of shoppers based on their emotions with respect to two novel food items, one functional the other conventional. Both food types appear to evoke positive emotions in a majority segment of consumers and negative emotions in a minority segment. An analysis of the purchase decision structures of these segments using means–end chain methodology reveals the importance of hedonistic and nutritional qualities in food consumption decisions. In addition, brand emerges as a key factor in the purchase choices of satisfied consumers while quality search and control are key issues for concerned shoppers.

Suggested Citation

  • Ramo Barrena & Teresa García & Mercedes Sánchez, 2017. "The effect of emotions on purchase behaviour towards novel foods. An application of Means–End chain methodology," Agrekon, Taylor & Francis Journals, vol. 56(2), pages 173-190, April.
  • Handle: RePEc:taf:ragrxx:v:56:y:2017:i:2:p:173-190
    DOI: 10.1080/03031853.2017.1307119
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03031853.2017.1307119
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03031853.2017.1307119?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. Valor, Carmen & Antonetti, Paolo & Crisafulli, Benedetta, 2022. "Emotions and consumers’ adoption of innovations: An integrative review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    2. Pauline Dorothea Braun & Andrew Knight, 2023. "Appetite or Distaste for Cell-Based Seafood? An Examination of Japanese Consumer Attitudes," Commodities, MDPI, vol. 2(4), pages 1-26, October.
    3. Diedericks, Lizette & Erasmus, Alet C. & Donoghue, Suné, 2020. "Now is the time to embrace interactive electronic applications of Association Pattern Technique," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).

    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:ragrxx:v:56:y:2017:i:2:p:173-190. 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/ragr20 .

    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.