fraud and anomaly detection research: a bibliometric study
Author:
Publisher
Apex Publishing
Link
https://aapc.khu.ac.ir/article-1-1165-en.pdf
Reference47 articles.
1. Abdullahi, R., & Mansor, N. 2018. Fraud prevention initiatives in the Nigerian public sector: understanding the relationship of fraud incidences and the elements of fraud triangle theory. Journal of Financial Crime, 25(2), 527-544.
2. Agustí, M. A., and M. Orta-Pérez. 2022. Big data and artificial intelligence in the fields of accounting and auditing: a bibliometric analysis. Spanish Journal of Finance and Accounting/Revista Española de Financiación y Contabilidad, 1–27.
3. Ahuja, D., Bhardwaj, P., & Madan, P. 2023. Money Laundering: A Bibliometric Review of Three Decades from 1990 to 2021. Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy, 55-72.
4. Alzamil, Z. S., D. Appelbaum, W. Glasgall, and M. A. Vasarhelyi. 2021. Applications of Data Analytics: Cluster Analysis of Not-for-Profit Data. Journal of Information Systems 35 (3) :199–221.
5. Association of Certified Fraud Examiners. 2022. Report to the Nations 2022. Retrieved from: https://legacy.acfe.com/report-to-the-nations/2022/
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