Advancing Financial Stability and Performance Through AI and Digital Transformation

Dear Colleagues,

New technology, digital transformation, and artificial intelligence (AI) contribute to operational efficiency through automation and predictive analytics, improving profitability and decision-making (Zhai et al., 2021). Studies have also shown that AI-driven solutions have been employed in fraud detection and cybersecurity thus enhancing the overall stability of financial institutions by reducing their vulnerability to threats. AI is currently utilized in classification tasks and early warning systems to identify credit risks and fraudulent activities while providing real-time monitoring of the performance of firms or banks (Bahoo et al., 2024). Additionally, new technology in risk management, such as machine learning algorithms, allows for the faster and more accurate detection of financial risks than traditional methods (Butaru et al., 2016).

Positioned within the growing literature on digital transformation, this Issue addresses a critical gap by linking technological innovation directly to financial stability and performance, providing valuable insights for academics, industry professionals, and policymakers.

This Special Issue focuses on the integration of new technology, especially artificial intelligence (AI) within the firm performance, exploring its impact on operational efficiency and financial stability.

References

Bahoo, Salman, Marco Cucculelli, Xhoana Goga, and Jasmine Mondolo. 2024. Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis. SN Business & Economics 4(2): 23. https://doi.org/10.1007/s43546-023-00618-x

Butaru, Florentin, Qingqing Chen, Brian Clark, Sanmay Das, Andrew W. Lo, and Akhtar Siddique. 2016. Risk and risk management in the credit card industry. Journal of Banking & Finance 72: 218–239. https://doi.org/10.1016/j.jbankfin.2016.07.015

Zhai, Huayun, Min Yang, and Kam C. Chan. 2021. Does digital transformation enhance a firm’s performance? Evidence from China. Technology in Society 68: 101841. https://doi.org/10.1016/j.techsoc.2021.101841

Prof. Dr. Hassan Obeid
Guest Editor

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• artificial intelligence and financial performance
• financial regulation and technology adaptation
• digital banking transformation
• cybersecurity in finance
• machine learning in finance
• big data analytics in finance
• financial technology adoption
• financial inclusion through technology
• sustainability in financial services