Artificial intelligence as an enabler of platform-based financial ecosystems: Evidence from commercial and Islamic banks listed on the Amman Stock Exchange

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Type of the article: Research Article

Abstract
The growing use of Artificial Intelligence is revolutionizing bank operations and contributing to the emergence of financial platform ecosystems, especially in economies in transition with digital and regulatory transformation. little empirical research has been conducted on the effects of AI capabilities on the market performance of banks in integrated platform ecosystems, particularly in dual banking systems (commercial and Islamic banks). This study examines the influence of AI-based data analytics, AI-based automation, and AI-based decision-making systems on the market performance of Amman Stock Exchange-listed banks. It also explores the mediation of platform integration capability and the moderation of regulatory readiness. The study used a mixed-method approach with secondary market data from 2014–2025 and primary data from a survey of 368 valid observations of commercial and Islamic banks in Jordan in January-May 2025. The relationships were tested using Partial Least Squares Structural Equation Modeling. The findings indicated a positive impact of AI-powered data analytics (β = 0.29, p < 0.001), smart automation (β = 0.24, p = 0.001), and AI-powered decision support systems (β = 0.21, p = 0.002) on market performance. Digital platform integration capability partially mediated the relationships, while regulatory readiness positively moderated the effect of AI capabilities on market outcomes. It is argued that banks’ market performance can be improved by investing in AI capabilities along with a platform integration capability and regulatory readiness. The study offers insights for managers and policymakers to drive sustainable change in banking.

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    • Table 1. Descriptive statistics
    • Table 2. Measurement model assessment
    • Table 3. Structural model results (direct effects)
    • Table 4. Mediating effects
    • Table 5. Moderating effects (Regulatory readiness)
    • Table 6. Explained variance
    • Table A1. Commercial and Islamic banks listed on the Amman Stock Exchange (ASE)
    • Conceptualization
      Mohammad Mahmoud Saleem Alzubi
    • Data curation
      Mohammad Mahmoud Saleem Alzubi
    • Formal Analysis
      Mohammad Mahmoud Saleem Alzubi
    • Funding acquisition
      Mohammad Mahmoud Saleem Alzubi
    • Investigation
      Mohammad Mahmoud Saleem Alzubi
    • Methodology
      Mohammad Mahmoud Saleem Alzubi
    • Project administration
      Mohammad Mahmoud Saleem Alzubi
    • Resources
      Mohammad Mahmoud Saleem Alzubi
    • Software
      Mohammad Mahmoud Saleem Alzubi
    • Supervision
      Mohammad Mahmoud Saleem Alzubi
    • Validation
      Mohammad Mahmoud Saleem Alzubi
    • Visualization
      Mohammad Mahmoud Saleem Alzubi
    • Writing – original draft
      Mohammad Mahmoud Saleem Alzubi
    • Writing – review & editing
      Mohammad Mahmoud Saleem Alzubi