Emerging Technologies and Quality of Financial Reporting of Selected Quoted Firms

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.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.90700028
Primary Topic
Business and Economic Development
Type
article
Field-Weighted Citation Impact
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article

Emerging Technologies and Quality of Financial Reporting of Selected Quoted Firms

Kehinde James, Olusegun Peter Ajagun, Olusegun Samson Adeniran, Abike Sehilat Bolarinwa
International Journal of Research and Innovation in Social Science
Business and Economic Development
article

Emerging Technologies and Quality of Financial Reporting of Selected Quoted Firms

Kehinde James, Olusegun Peter Ajagun, Olusegun Samson Adeniran, Abike Sehilat Bolarinwa
article en

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.

International Journal of Research and Innovation in Social ScienceVol. IX(VII)
Openalex Percentile: Top 74%
Business and Economic Development
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