Predictive Analytics for Accounting Fraud Detection: A Study Based on Integrating Corporate Governance and Underpinning Theories
- DOI
- 10.9734/ajeba/2025/v25i31699
- Published
- 2025-03-01
- Container
- Asian Journal of Economics, Business and Accounting
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.9734/ajeba/2025/v25i31699,
title = {Predictive Analytics for Accounting Fraud Detection: A Study Based on Integrating Corporate Governance and Underpinning Theories},
author = {Muhammed Sameer Uddin and Omaima Eltahir Babikir Mohamed and John Ebert},
year = {2025},
journal = {Asian Journal of Economics, Business and Accounting},
doi = {10.9734/ajeba/2025/v25i31699},
url = {https://doi.org/10.9734/ajeba/2025/v25i31699}
}RIS
TY - JOUR TI - Predictive Analytics for Accounting Fraud Detection: A Study Based on Integrating Corporate Governance and Underpinning Theories AU - Muhammed Sameer Uddin AU - Omaima Eltahir Babikir Mohamed AU - John Ebert PY - 2025 JO - Asian Journal of Economics, Business and Accounting DO - 10.9734/ajeba/2025/v25i31699 UR - https://doi.org/10.9734/ajeba/2025/v25i31699 ER -
APA
Uddin, M. S., Mohamed, O. E. B., & Ebert, J. (2025). Predictive Analytics for Accounting Fraud Detection: A Study Based on Integrating Corporate Governance and Underpinning Theories. Asian Journal of Economics, Business and Accounting. https://doi.org/10.9734/ajeba/2025/v25i31699
Source records
- hal · retrieved 2026-09-26T17:36:10.715Z