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Using Benford¡¯s Law for Fraud Detection in Accounting Practices

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  • Arben Asllani
  • Manjola Naco

Abstract

This paper offers a template that can be used by practitioners and accounting auditors to identify fraud in accounting practices. The proposed tool is based on the principles of Benford's Law. An actual example from a local Albanian hospital is used to demonstrate the use of the proposed methodology. The results of the investigation lead to some important findings and demonstrate the efficiency of the approach. The paper concludes with several practical recommendations and suggestions which should be considered to avoid any potential weaknesses of the proposed methodology.

Suggested Citation

  • Arben Asllani & Manjola Naco, 2015. "Using Benford¡¯s Law for Fraud Detection in Accounting Practices," Journal of Social Science Studies, Macrothink Institute, vol. 2(1), pages 129-143, January.
  • Handle: RePEc:mth:jsss88:v:2:y:2015:i:1:p:129-143
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    References listed on IDEAS

    as
    1. Kurt Fanning & Kenneth O. Cogger & Rajendra Srivastava, 1995. "Detection of Management Fraud: A Neural Network Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 4(2), pages 113-126, June.
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