Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/44305
Title: Auditors’ Risk Perception of Process Control Deficiencies: A Discrete Choice Experiment
Authors: LAGHMOUCH, Manal 
LIZIN, Sebastien 
Mendling, Jan
DEPAIRE, Benoit 
JANS, Mieke 
Issue Date: 2024
Publisher: American Accounting Association
Source: Journal of Information Systems, 38 (2) , p. 79 -97
Abstract: In risk-based auditing, data-driven analyses are often used to automatically detect process deficiencies. This introduces a challenge: the number of deficiencies is too large to inspect manually. Current approaches addressing this challenge neglect integrating the risk dimension or rely on auditors to manually integrate it. This study aims to increase the effectiveness of such data-driven analysis approaches by including the risk dimension when presenting process deficiencies for further inspection. We investigate how the deficiency type and the affected control activity are associated with perceived risk. We run a discrete choice experiment with 58 auditors interpreting deficiencies that occur in a procure-to-pay or an order-to-cash process and find that (1) deficiencies of type “missing” or deficiencies related to asset-decrementing activities are perceived as the riskiest, (2) the control activity contributes 75 percent of the risk perception, and (3) external and internal auditors share a similar risk perception.
Keywords: auditing;control deficiency;discrete choice analysis;discrete choice experiment;process deficiency;process deviation;risk assessment;risk perception
Document URI: http://hdl.handle.net/1942/44305
ISSN: 0888-7985
e-ISSN: 1558-7959
DOI: 10.2308/ISYS-2021-039
ISI #: WOS:001267009800008
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
full-text_published_Laghmouch.pdf
  Restricted Access
Published version1.04 MBAdobe PDFView/Open    Request a copy
Manuscript_Author_version_Laghmouch.pdf
  Until 2025-09-24
Peer-reviewed author version420.29 kBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.