IDEAS home Printed from https://ideas.repec.org/a/rom/bemann/v15y2025i3p40-53.html
   My bibliography  Save this article

The Influence Of Ai-Driven Marketing On Customer Engagement And Brand Loyalty: A Pls-Sem Analysis Of Smartphone Consumers In Erbil

Author

Listed:
  • Idrees HASAN

    (Salahaddin University - Erbil, Erbil, Iraq)

  • Saman OTHMAN

    (Soran University, Erbil, Iraq)

Abstract

This research explores the relationships between aspects of AI powered marketing at chatbot interface, personalization, and recommendations and how they impact Xiaomi smartphone users’ perceptions of customer engagement (cognitive, affective, and behavioral), and brand loyalty in the City of Erbil. This relationship has been evaluated using survey data from a heterogeneous sample of consumers utilizing Partial Least Squares Structural Equation Modeling PLS-SEM and found a good model fit. The analysis confirms the significant positive impact of AI powered marketing on customer engagement in each of its three dimensions. Additionally, all three dimensions of engagement were found to be positive significant predictors of brand loyalty with affective engagement being the dimension with the most significant direct effect. The analysis of total effects also reinforced previous research on the role of perceived personalization as a strong predictor of brand loyalty. The findings add to the growing body of research in digital marketing and consumer behavior as well as provide useful managerial recommendations to brand managers competing in the highly competitive, technology driven marketplace.

Suggested Citation

  • Idrees HASAN & Saman OTHMAN, 2025. "The Influence Of Ai-Driven Marketing On Customer Engagement And Brand Loyalty: A Pls-Sem Analysis Of Smartphone Consumers In Erbil," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(3), pages 40-53, September.
  • Handle: RePEc:rom:bemann:v:15:y:2025:i:3:p:40-53
    as

    Download full text from publisher

    File URL: https://beman.ase.ro/no153/3.pdf
    Download Restriction: no
    ---><---

    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:rom:bemann:v:15:y:2025:i:3:p:40-53. 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: Zamfir Andreea (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    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.