IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01075249.html
   My bibliography  Save this paper

La méthodologie de la méta-analyse en marketing

Author

Listed:
  • Patrice Laroche

    (CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Sébastien Soulez

    (Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

Abstract

L'objectif de cet article est de présenter et d'illustrer la démarche méthodologique qu'il convient de suivre lorsque l'on souhaite conduire une méta-analyse en marketing. La méta-analyse est une approche méthodologique consistant à faire la synthèse des résultats d'études empiriques individuelles au moyen de méthodes statistiques appropriées. La méta-analyse offre non seulement la possibilité d'intégrer et de combiner les résultats souvent contradictoires que les chercheurs obtiennent sur des questions de recherche identiques mais aussi d'analyser ces résultats de telle sorte que l'on puisse identifier les éventuelles sources de variation entre les résultats obtenus. Après avoir décrit les principales étapes à suivre pour mener à bien une méta-analyse, deux applications de la méthodologie en marketing sont présentées et des recommandations formulées pour les chercheurs en marketing désirant utiliser cette méthode.

Suggested Citation

  • Patrice Laroche & Sébastien Soulez, 2012. "La méthodologie de la méta-analyse en marketing," Post-Print hal-01075249, HAL.
  • Handle: RePEc:hal:journl:hal-01075249
    DOI: 10.1177/076737011202700104
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    2. Driss El Kadiri Boutchich, 2022. "Human Capital in Public Research Laboratory: Towards an Alternative Evaluation and Prediction Method Based on Hybridization," Annals of Data Science, Springer, vol. 9(6), pages 1181-1200, December.
    3. Olfa Aissa, 2016. "A Meta-Analysis of the Financial Participation Impact on Firm Performance," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(8), pages 186-186, July.

    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:hal:journl:hal-01075249. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.