AI and FinTech adoption in Jordanian banking: Toward inclusive and culturally aligned innovation
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DOIhttp://dx.doi.org/10.21511/bbs.20(4).2025.05
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Article InfoVolume 20 2025, Issue #4, pp. 45-59
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Type of the article: Research Article
Abstract
The study examines the Jordanian banking environment against the backdrop of rapid digital advances and whether applying Artificial Intelligence, Financial Technology solutions, and hybrid platforms that combine new and traditional technologies is gaining traction. It surveyed 460 respondents, including 280 bank officials and decision-makers, 140 active Financial Technology practitioners, and 40 regulators and policymakers. These groups were deliberately selected to include different views of operation, usage, and regulation. The questionnaire took place between September and December of 2024, a time in which Jordan itself began an electronic transformation project as a result of the previous pandemic outbreak. Institutional Review Board approval from the Middle East University, as well as consent from online volunteers, preceded this study.
Quantitative analysis demonstrates good readiness to adopt Artificial Intelligence (mean value 4.3) and hybrid integration (mean value 4.2). Application Programming Interface integration was indicated as a chief enabler of Artificial Intelligence adoption (0.78, 0.020), which enabled real-time risk analysis (0.70) and customer satisfaction (0.62). These, in turn, enhanced regulatory compliance (0.57), infrastructure buildup (0.54), and tech capacity development (0.49). The study illustrates the interconnected correlation between infrastructural backup, rule compliance, and technological readiness in ensuring the success of digital transformation processes. By integrating empirically derived data and situational analysis, this work provides a new depth of understanding of the feasibility of restructuring financial services provision in new economies such as Jordan. The study illustrates the possibilities and constraints of Financial Technology and Artificial Intelligence applications, with special emphasis on culturally compliant and morality-inclined innovation.
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JEL Classification (Paper profile tab)G21, O33, G28, P43
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References56
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Tables8
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Figures0
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- Table 1. Demographics of the sample
- Table 2. Descriptive analysis
- Table 3. Reliability analysis
- Table 4. Fornell-Larcker criterion
- Table 5. HTMT ratios
- Table 6. Model fit indices
- Table 7. Variance inflation factor (VIF)
- Table 8. Path coefficients and significance
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