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A fraud detection model: A must for auditors

Author

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  • Maria Krambia‐Kapardis

Abstract

Keywords: Fraud detection, Auditors, Australia, EFD model

Suggested Citation

  • Maria Krambia‐Kapardis, 2002. "A fraud detection model: A must for auditors," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 10(3), pages 266-278, September.
    • Handle: RePEc:eme:jfrcpp:13581980210810256
    DOI: 10.1108/13581980210810256
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    Citations

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    Cited by:

    1. Ayush B. Shrestha & Richard A. Bernardi & Susan M. Bosco, 2013. "The Propensity to Trust Others: Gender and Country Differences," Accounting and Finance Research, Sciedu Press, vol. 2(2), pages 1-69, May.
    2. Prabhat Mittal & Amrita Kaur & Pankaj Kumar Gupta, 2021. "The Mediating Role of Big Data to Influence Practitioners to Use Forensic Accounting for Fraud Detection," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 7(1), pages 47-58.
    3. Noura Metawa & Rhada Boujlil & Saad Alsunbul, 2023. "Fraud-Free Green Finance: Using Deep Learning to Preserve the Integrity of Financial Statements for Enhanced Capital Market Sustainability," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 610-617, November.
    4. Miron Gabriela Monica, 2020. "The Influence of VAT Variation on the Damages Resulting from Fraud in the Romanian Economy," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 30(4), pages 111-131, December.

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