Impact of Artificial Intelligence on Effective Decision Making in Corporate Financial Entities in Nigeria (A Case Study of Fidelity Bank)

Osita Amaugo
Additional contact information
Osita Amaugo: Portharcourt-Old Gra, Rivers, Nigeria

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 5, 2407-2416

Abstract: This study examines the impact of artificial intelligence on strategic decision making in Nigerian financial institutions. It adopted Fidelity Bank as a case study. The study employed a descriptive-quantitative design. A questionnaire was administered to a stratified sample drawn from a population of 3,063 employees. The purpose of the study was to determine whether the integration of AI into competitive processes significantly improves decision-making, strengthens risk management strategies, and ultimately improves financial performance. Using multiple regression analyses, the results show that AI implementation has a strong and statistically significant impact on decision-making processes as well as risk management and costs. Studies have shown that the integration of multiple sources of information with AI enables timely and accurate decision-making, ensuring better operational efficiency and better detection. This paper contributes to the broader discourse on digital transformation in corporate finance and highlights the need for modern financial institutions to leverage AI-powered tools. The evidence presented here encourages the wider integration of AI as an effective tool to improve corporate governance, risk reduction, and financial performance, ushering in a new era in corporate decision-making.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... ssue-5/2407-2416.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... dy-of-fidelity-bank/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:issue-5:p:2407-2416

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().