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AI micro-decisions in FinTechs: a mixed method research design

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  • Helmi Issa

    (BSB - Burgundy School of Business (BSB) - ESC Dijon-Bourgogne, CEREN - Centre de Recherche sur les Entreprises - BSB - Burgundy School of Business (BSB) - ESC Dijon-Bourgogne)

  • Rachid Jabbouri
  • Rock-Antoine Mehanna

Abstract

The exponential growth of artificial intelligence (AI) technologies, coupled with advanced algorithms and increased computational capacity, has facilitated their widespread adoption in various industries. Among these, the financial technology (FinTech) sector has been significantly impacted by AI-based decision-making systems. Nevertheless, a knowledge gap remains regarding the intricate mechanisms behind the micro-decision-making process employed by AI algorithms. This paper aims to discuss the aforementioned issue.

Suggested Citation

  • Helmi Issa & Rachid Jabbouri & Rock-Antoine Mehanna, 2023. "AI micro-decisions in FinTechs: a mixed method research design," Post-Print hal-05846003, HAL.
    • Handle: RePEc:hal:journl:hal-05846003
    DOI: 10.1108/MD-10-2022-1336
    as

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