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

Feni Malinda Safitri; Dwi Suhartanto; Setiawan Setiawan; Nova Aulia Khoirunnisa; Lina Herliana

doi:10.2991/978-94-6463-990-2_33

<Previous Article In Volume

Next Article In Volume>

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

Authors

Feni Malinda Safitri¹, Dwi Suhartanto¹, Setiawan Setiawan¹^{, *}, Nova Aulia Khoirunnisa¹, Lina Herliana¹

¹Department of Accounting, Politeknik Negeri Bandung, Bandung, Indonesia

^*Corresponding author. Email: setiawan@polban.ac.id

Corresponding Author

Setiawan Setiawan

Available Online 13 February 2026.

DOI: 10.2991/978-94-6463-990-2_33 How to use a DOI?
Keywords: Artificial Intelligence; Islamic Banking; SEM
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.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume

Next Article In Volume>

Volume Title: Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025)
Series: Advances in Economics, Business and Management Research
Publication Date: 13 February 2026
ISBN: 978-94-6463-990-2
ISSN: 2352-5428
DOI: 10.2991/978-94-6463-990-2_33 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Feni Malinda Safitri
AU  - Dwi Suhartanto
AU  - Setiawan Setiawan
AU  - Nova Aulia Khoirunnisa
AU  - Lina Herliana
PY  - 2026
DA  - 2026/02/13
TI  - Artificial Intelligence as a Strategic Enabler in Islamic Banking Marketing: From Information to Problem-Solving
BT  - Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025)
PB  - Atlantis Press
SP  - 497
EP  - 505
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-990-2_33
DO  - 10.2991/978-94-6463-990-2_33
ID  - Safitri2026
ER  -

download .riscopy to clipboard