IDEAS home Printed from https://ideas.repec.org/a/sae/fortra/v61y2026i2p139-166.html

Decision-making in Choosing an Effective Celebrity Endorsement Strategy Using Fuzzy Forgotten Effects: A Cross-cultural Study

Author

Listed:
  • Karan Patel
  • Francicso-Javier Arroyo-Cañada
  • Jaime Gil-Lafuente

Abstract

The main purpose of this study is to develop models that illustrate the impact of celebrity endorsement on consumer purchase intention, taking into consideration the important dimension of culture: individualism (Spain) versus collectivism (India). The study utilises the analytical model of the fuzzy forgotten effects theory to build a model for decision-making in choosing an effective parameter that affects consumer purchase intentions with respect to celebrity endorsement across two distinct cultures. These models provide insights into the impact of celebrity endorsement over time and across different stages of the consumer decision-making process. The contributions of this research will help marketers to select appropriate celebrity parameters for celebrity endorsements across varied cultures, which would be fruitful for the brand in the long term. This research will also draft a framework for branding managers that can be adopted by companies to increase profitability. This paper applies the theory of forgotten effects with the analysis of cause and effect in the field of marketing. The main contribution of this article is that it allows the second-generation effects to be considered during the decision-making process, which could go unnoticed by decision-makers at first, thereby reducing the risks associated with decision-making. JEL Codes: M31, C02

Suggested Citation

  • Karan Patel & Francicso-Javier Arroyo-Cañada & Jaime Gil-Lafuente, 2026. "Decision-making in Choosing an Effective Celebrity Endorsement Strategy Using Fuzzy Forgotten Effects: A Cross-cultural Study," Foreign Trade Review, , vol. 61(2), pages 139-166, May.
  • Handle: RePEc:sae:fortra:v:61:y:2026:i:2:p:139-166
    DOI: 10.1177/00157325231214046
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/00157325231214046
    Download Restriction: no

    File URL: https://libkey.io/10.1177/00157325231214046?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

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics

    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:sae:fortra:v:61:y:2026:i:2:p:139-166. 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: SAGE Publications (email available below). General contact details of provider: .

    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.