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Audit Evidence and Modelling Audit Risk Using Goal Programming

Authors: Saeed Askary; Jean Paul M. Arnaout; Naser M. Abughazaleh;

Audit Evidence and Modelling Audit Risk Using Goal Programming

Abstract

Managing audit risk and allocating auditing resources are among the major problems faced by external auditors. To address this problem, this paper introduces external auditors to goal programming (GP), an innovative technique that can be used in audit risk models (ARM). The value of an audit report depends on the audit risk: the lower the audit risk, the higher the quality of the audit report. Using GP when calculating audit risk enhances audit quality by helping auditors to manage the multi-choice decision making. However, to date there has been no consideration of GP in ARM. This research provides insights that can be used by audit firms of any size, including those in the Big 4.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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