An empirical analysis of fraud detection likelihood

Glen D. Moyes (Assistant Professor of Accounting, Howard University, Washington, DC, USA)
Iftekhar Hasan (Associate Professor of Finance, New Jersey Institute of Technology (SIM) and Graduate School, Rutgers University, USA)

Managerial Auditing Journal

ISSN: 0268-6902

Publication date: 1 April 1996

Abstract

Investigates the relative importance of potential factors associated with the likelihood of detecting fraud during the audit of financial statements. Based on a survey of 357 auditors, reveals auditing experience of the auditor and prior success of auditing organization in detecting fraud are constantly significant variables in detecting fraud for each audit cycle and combined cycle estimates. Certified public accountant certification, peer review, and organizational size have impact only on certain specific audit cycles. This study surveyed two types of auditor: first, certified public accountants specialized in auditing publicly held corporations (external); and second, government entities, and internal auditors specialized in auditing publicly held corporations (internal). The respondent auditors evaluated the degree of effectiveness of 218 auditing techniques in detecting fraud. These techniques were associated with four different audit cycles: acquisition and payment, inventory and warehousing, payroll and personnel and sales and collection.

Keywords

Citation

Moyes, G. and Hasan, I. (1996), "An empirical analysis of fraud detection likelihood", Managerial Auditing Journal, Vol. 11 No. 3, pp. 41-46. https://doi.org/10.1108/02686909610115231

Download as .RIS

Publisher

:

MCB UP Ltd

Copyright © 1996, MCB UP Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.