Auditors’ Risk Perception of Process Control Deficiencies: A Discrete Choice Experiment

IF 2 4区 管理学 Q2 BUSINESS, FINANCE
Manal Laghmouch, Sebastien Lizin, Jan Mendling, Benoît Depaire, Mieke Jans
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引用次数: 0

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.
审计员对流程控制缺陷的风险认知:离散选择实验
在基于风险的审计中,数据驱动分析通常用于自动检测流程缺陷。这就带来了一个挑战:缺陷的数量太大,无法进行人工检查。目前应对这一挑战的方法忽视了风险维度的整合,或依赖审计人员手动整合风险维度。本研究旨在通过在提出流程缺陷供进一步检查时纳入风险维度,提高此类数据驱动分析方法的有效性。我们研究了缺陷类型和受影响的控制活动如何与感知风险相关联。我们对 58 名审计人员进行了离散选择实验,以解读发生在采购到付款或订单到现金流程中的缺陷,结果发现:(1)"缺失 "类型的缺陷或与资产缩减活动相关的缺陷被视为风险最高;(2)控制活动占风险感知的 75%;(3)外部和内部审计人员的风险感知相似。
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来源期刊
Journal of Information Systems
Journal of Information Systems BUSINESS, FINANCE-
CiteScore
3.90
自引率
21.10%
发文量
26
期刊介绍: The Journal of Information Systems (JIS) is the academic journal of the Accounting Information Systems (AIS) Section of the American Accounting Association. Its goal is to support, promote, and advance Accounting Information Systems knowledge. The primary criterion for publication in JIS is contribution to the accounting information systems (AIS), accounting and auditing domains by the application or understanding of information technology theory and practice. AIS research draws upon and is informed by research and practice in management information systems, computer science, accounting, auditing as well as cognate disciplines including philosophy, psychology, and management science. JIS welcomes research that employs a wide variety of research methods including qualitative, field study, case study, behavioral, experimental, archival, analytical and markets-based.
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