IS BENFORD’S LAW EFFECTIVE IN FRAUD DETECTION FOR EXPENSE CYCLE?
Öz
Anahtar Kelimeler
Kaynakça
- ACFE (2020). Report to the Nations: 2020 Global Study on Occupational Fraud and Abuse. Austin, USA: Association of Certified Fraud Examiners. Retrieved from https://acfepublic.s3-us-west-2.amazonaws.com/2020-Report-to-the-Nations.pdf
- BAMEY, B.B., Schulzke, K.S. (2016). Moderating “Cry Wolf ” events with excess MAD in Benford’s law research and practice, Journal of Forensic Accounting Research, 1(1): A66–A90. https://doi.org/10.2308/jfar-51622
- BEARDSLEY, E.L., Lassila, D.R., Omer, T.C. (2018). How Do Audit Offices Respond to Audit Fee Pressure? Evidence of Increased Focus on Nonaudit Services and their Impact on Audit Quality, Contemporary Accounting Research, 36(2): 999-1.027. https://doi.org/10.1111/1911-3846.12440
- BELLA, B., Eloff, J.H., Olivier, M.S. (2009). A fraud management system architecture for next-generation networks, Forensic Science International, 185(1): 51-58. DOI:10.1016/j.forsciint.2008.12.013
- BENFORD, F. (1938). The law of anomalous numbers, Proceedings of the American Philosophical Society, 78(4): 551-572.
- Bhattacharya, S., Xu, D., Kumar, K. (2011). An ANN-based auditor decision support system using Benford’s law, Decision Support Systems, 50(3): 576–584. DOI:10.1016/j.dss.2010.08.011
- Busta, B., Weinberg, R. (1998). Using Benford’s law and neural networks as a review procedure, Managerial Auditing Journal, 13(6): 356-366. https://doi.org/10.1108/026.869.09810222375
- Carslaw, C. (1988). Anomalies in income numbers: Evidence of goal oriented behavior, The Accounting Review, 63(2): 321-327.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yazarlar
Emre Ergin
*
Bu kişi benim
0000-0001-5619-165X
Türkiye
İlkay Ejder Erturan
Bu kişi benim
0000-0003-2478-5634
Türkiye
Yayımlanma Tarihi
31 Aralık 2020
Gönderilme Tarihi
30 Temmuz 2020
Kabul Tarihi
29 Kasım 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 42 Sayı: 2
