Artificial Intelligence, Big Data Analytics, and Financial Reporting Quality in Nigeria: The Mediating Role of Transparency

Authors

Ahupa Simon Ekawu

Ph.D., FCA (Nigeria)

Article Information

DOI: 10.47772/IJRISS.2026.100300417

Subject Category: Artificial Intelligence

Volume/Issue: 10/3 | Page No: 5788-5792

Publication Timeline

Submitted: 2026-03-27

Accepted: 2026-04-01

Published: 2026-04-11

Abstract

This study examines the impact of artificial intelligence (AI) and big data analytics (BDA) on financial reporting quality (FRQ) in Nigeria, with particular emphasis on the mediating role of transparency. The increasing adoption of digital technologies in accounting has transformed how financial information is generated, processed, and disclosed. However, empirical evidence on how these technologies influence reporting quality in emerging economies remains limited.
Drawing on Information Asymmetry Theory and the Technology–Organization–Environment (TOE) framework, this study investigates whether AI adoption and big data analytics capability enhance financial reporting quality directly and indirectly through transparency. A quantitative research design was employed using survey data collected from 312 accounting and finance professionals across public and private sector organizations in Nigeria. Structural Equation Modeling (PLS-SEM) was used to test the hypotheses.
The results indicate that artificial intelligence and big data analytics significantly improve financial reporting quality, while transparency plays a partial mediating role. The findings contribute to the literature on digital transformation in accounting and provide practical insights for regulators and organizations in emerging economies.

Keywords

Artificial Intelligence, Big Data Analytics, Financial Reporting Quality, Transparency, Nigeria, Digital Transformation

Downloads

References

1. Appelbaum, D., Kogan, A., & Vasarhelyi, M. (2023). Accounting analytics and the future of auditing. International Journal of Accounting Information Systems, 48. [Google Scholar] [Crossref]

2. Bhimani, A. (2024). Digital transformation and accounting change. Accounting and Business Research. [Google Scholar] [Crossref]

3. Davenport, T. H., & Ronanki, R. (2023). Artificial intelligence for business value. Harvard Business Review. [Google Scholar] [Crossref]

4. Kshetri, N. (2023). Big data analytics in emerging economies. Telecommunications Policy, 47. [Google Scholar] [Crossref]

5. Moffitt, K., & Vasarhelyi, M. (2022). Accounting information systems and big data. Journal of Information Systems. [Google Scholar] [Crossref]

6. Sun, T., & Vasarhelyi, M. (2024). Artificial intelligence in auditing. Accounting Horizons. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles