Abstract
The integration of Artificial Intelligence (AI) in the FinTech industry has significantly\r\nreshaped operational workflows, product innovation, and risk management, all of which are pivotal\r\nto company valuation. This study investigates the impact of AI-enhanced multilayer networks on\r\nFinTech valuation, introducing a novel, scalable multilayer network model with AI-driven Copula\r\nNodes that serve as connectors across operational layers. By incorporating AI, the research unveils\r\na dynamic and interconnected approach to FinTech valuation, revealing new pathways for value\r\nco-creation through real-time adjustments and predictive capabilities. The research reveals that\r\nwhile operational efficiency is a major driver of market value, a balanced integration of AI across\r\nrisk management, product innovation, and market perception is essential for maximizing value.\r\nAdditionally, the findings highlight the importance of managing AI-driven risks such as algorithmic\r\nbias and regulatory challenges. This comprehensive framework offers critical insights for FinTechs,\r\ninvestors, and regulators seeking to understand the complex role of AI in enhancing valuation within the evolving financial services landscape.
| Original language | English |
|---|---|
| Pages (from-to) | 479-495 |
| Number of pages | 17 |
| Journal | FinTech |
| Volume | 3 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
- Economics, Econometrics and Finance (miscellaneous)
Keywords
- AI-driven operational efficiency
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