IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05221047.html
   My bibliography  Save this paper

Artificial intelligence in support of marketing strategy of cooperatives : challenges and opportunities (A Case study in Tangier)
[L'intelligence artificielle au service de la stratégie marketing des coopératives : défis et opportunités (Etude de Cas à Tanger) Artificial intelligence in support of marketing strategy of cooperatives : challenges and opportunities (A Case study in Tangier)]

Author

Listed:
  • Nomane Chafi

    (FSJES TANGER - faculté des sciences juridiques economiques et sociales de Tanger)

  • Abderrahman Saddiki
  • R’ghioui Noman

Abstract

In a context shaped by the accelerating digitalization of markets and the rapid advancement of technologies, artificial intelligence is emerging as a strategic lever for rethinking marketing approaches. This study adopts an exploratory perspective to assess the impact of AI on marketing strategies within the social and solidarity economy. It examines the transformations driven by AI in segmentation, targeting, personalization, and campaign automation. While large corporations have the technical means to capitalize on these innovations, SSE organizations often struggle to adopt them due to structural, financial, and organizational constraints. Based on a literature review and emerging use cases, the research proposes a conceptual cooperative for integrating AI into marketing strategies in ways that are ethical, inclusive, and tailored to the specificities of the SSE sector. The findings indicate that successful integration relies as much on technology as on capacity building, targeted support mechanisms, and cooperation between public and private actors, paving the way for a sustainable and equitable digital transformation.

Suggested Citation

  • Nomane Chafi & Abderrahman Saddiki & R’ghioui Noman, 2025. "Artificial intelligence in support of marketing strategy of cooperatives : challenges and opportunities (A Case study in Tangier) [L'intelligence artificielle au service de la stratégie marketing d," Post-Print hal-05221047, HAL.
  • Handle: RePEc:hal:journl:hal-05221047
    DOI: 10.5281/zenodo.16896042
    Note: View the original document on HAL open archive server: https://hal.science/hal-05221047v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05221047v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.5281/zenodo.16896042?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

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:hal:journl:hal-05221047. 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.