Audit evidences and modelling audit risk using goal programming


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Int.J.AppliedDecisionSciences

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Int. J. Applied Decision Sciences, Vol. 11, No. 1, 2018

 

 



 

 

 

 



 

Copyright © 2018 Inderscience Enterprises Ltd. 

 

 

 



 

 

 



 

 

 



 

 

 



 

 

 



 

 

 



 

 

 



 

 

 

 



 

 

Audit evidences and modelling audit risk using goal 



programming 

Saeed Askary* 

College of Business Administration, 

Gulf University for Science and Technology (GUST), 

P.O. Box 7207 Hawally, 32093, Kuwait 

Email: askary.s@gust.edu.kw 

*Corresponding author 

Jean-Paul M. Arnaout 

Business Administration Department, 

Gulf University for Science and Technology (GUST) 

P.O. Box 7207 Hawally, 32093, Kuwait 

Email: arnaout.j@gust.edu.kw 

Naser M. Abughazaleh 

College of Business Administration, 

Gulf University for Science and Technology (GUST), 

P.O. Box 7207 Hawally, 32093, Kuwait 

Email: AbuGhazaleh.N@gust.edu.kw 

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. 


Keywords: audit risk model; ARM; audit evidence; control risk; detection risk; 

goal programming; GP. 



Reference to this paper should be made as follows: Askary, S., Arnaout, J-P.M. 

and Abughazaleh, N.M. (2018) ‘Audit evidences and modelling audit risk using 

goal  programming’,  Int. J. Applied Decision Sciences,  Vol.  11,  No.  1,  

pp.18–35. 




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