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The Effect of Big Data Analytic Capabilities Upon Bank Performance via FinTech Innovation: UAE Evidence

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  • Ahmed Al-Dmour

    (Al-Ahliyya Amman University, Jordan)

  • Rand H. Al-Dmour

    (The University of Jordan, Jordan)

  • Hani H. Al-Dmour

    (The University of Jordan, Jordan)

  • Eatadal Basheer Ahmadamin

    (The University of Jordan, Jordan)

Abstract

This study aims to examine and validate the impact of big data analytical capabilities (individual, organizational, and technological) on bank performance via the mediating role of Fintech innovation in commercial banks operating in the United Arab Emirates (UAE). Based on a literature review, resource-based theory, and financial innovation theory, an integrated conceptual framework was developed to guide the study. A quantitative survey approach was used, and the data was collected from 236 banks' senior managers (IT, financial, and marketers). Amos 21 structural equation modeling (SEM) was used to analyze and verify the study variables. The main findings revealed that big data analytical capabilities had a significant positive influence on bank performance. Fintech innovation acted as partial mediators in this relationship.

Suggested Citation

  • Ahmed Al-Dmour & Rand H. Al-Dmour & Hani H. Al-Dmour & Eatadal Basheer Ahmadamin, 2021. "The Effect of Big Data Analytic Capabilities Upon Bank Performance via FinTech Innovation: UAE Evidence," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 13(4), pages 62-87, October.
    • Handle: RePEc:igg:jisss0:v:13:y:2021:i:4:p:62-87
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    Cited by:

    1. Tang, Mengxuan & Hu, Yang & Corbet, Shaen & Hou, Yang (Greg) & Oxley, Les, 2024. "Fintech, bank diversification and liquidity: Evidence from China," Research in International Business and Finance, Elsevier, vol. 67(PA).

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