Author
Listed:
- Adeniran, Olusegun Samson
(Lagos State University, Ojo, Nigeria)
- Ajagun, Olusegun Peter
(Lagos State University, Ojo, Nigeria)
- Kehinde James
(Lagos State University, Ojo, Nigeria)
- Bolarinwa, Abike Sehilat
(Lagos State University, Ojo, Nigeria)
Abstract
This study examines the influence of emerging technologies—Artificial Intelligence (AI), Blockchain, and Data Analytics—on the quality of financial reporting within Fidelity Bank Plc, Lasaco Assurance Plc, and AXA Mansard Insurance Plc. the study seeks to explore how they enhance financial reporting practices and address the shortcomings of traditional methods. The methodology involves a quantitative approach, employing regression analysis to empirically evaluate the impact of AI, Blockchain, and Data Analytics on the quality of financial reporting. Data were collected using primary source via structured questionnaire and analyzed to determine the statistical significance and magnitude of the impact of these technologies. The study concludes that AI, Blockchain, and Data Analytics significantly improve the quality of financial reporting by increasing accuracy, transparency, and efficiency. AI enhances anomaly detection and predictive analytics, The recommendations highlight the necessity for these firms to invest in these technologies and for policymakers to update regulatory frameworks to support their integration. Continuous professional development and training programs are essential to equip financial professionals with the skills required to effectively leverage these technologies. By adopting these recommendations, Fidelity Bank Plc, Lasaco Assurance Plc, and AXA Mansard Insurance Plc can enhance their financial reporting quality, meet stakeholder expectations, and maintain a competitive edge in the evolving financial landscape.
Suggested Citation
Adeniran, Olusegun Samson & Ajagun, Olusegun Peter & Kehinde James & Bolarinwa, Abike Sehilat, 2025.
"Emerging Technologies and Quality of Financial Reporting of Selected Quoted Firms,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 371-388, July.
Handle:
RePEc:bcp:journl:v:9:y:2025:issue-7:p:371-388
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