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 and Lina Herliana
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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

A chapter in Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025), 2026, pp 497-505 from Springer

Abstract: 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.

Keywords: Artificial Intelligence; Islamic Banking; SEM (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-990-2_33

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

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