IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-990-2_33.html

Artificial Intelligence as a Strategic Enabler in Islamic Banking Marketing: From Information to Problem-Solving

In: Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025)

Author

Listed:
  • Feni Malinda Safitri

    (Department of Accounting)

  • Dwi Suhartanto

    (Department of Accounting)

  • Setiawan Setiawan

    (Department of Accounting)

  • Nova Aulia Khoirunnisa

    (Department of Accounting)

  • Lina Herliana

    (Department of Accounting)

Abstract

The advancement of artificial intelligence (AI) technology has driven the digital transformation of Islamic banking. This study aims to analyze six dimensions of AI-based marketing strategies, namely information, interaction, responsiveness, customization, accessibility, and problem-solving. Using a quantitative approach, data were collected through a survey of more than 500 Islamic bank customers in West Java and analyzed using Structural Equation Modeling (SEM). The findings indicate that the dimensions of information, customization, accessibility, and problem-solving significantly influence the effectiveness of AI marketing, whereas interaction and responsiveness are not significant. These results highlight the importance of strengthening information delivery, personalization, and problem-solving capabilities in the implementation of AI marketing to support digital marketing strategies for Islamic banks that are adaptive, efficient, and aligned with sharia principles.

Suggested Citation

  • Feni Malinda Safitri & Dwi Suhartanto & Setiawan Setiawan & Nova Aulia Khoirunnisa & Lina Herliana, 2026. "Artificial Intelligence as a Strategic Enabler in Islamic Banking Marketing: From Information to Problem-Solving," Advances in Economics, Business and Management Research, in: Jessica Olifia & Dewi Junita & Aprizal Putra & Susi Lestari & Sarah Ulfah Al Amany & Syafri Naldi (ed.), Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025), pages 497-505, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-990-2_33
    DOI: 10.2991/978-94-6463-990-2_33
    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
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-990-2_33. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.