Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/45632
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Arzhenovskiy, S. V. | - |
dc.contributor.author | Bakhteev, Andrey Vladimirovich | - |
dc.contributor.author | Sinyavskaya, T. G. | - |
dc.contributor.author | Hahonova, N. N. | - |
dc.date.accessioned | 2019-08-16T08:50:41Z | - |
dc.date.available | 2019-08-16T08:50:41Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Arzhenovskiy, S. V., Bakhteev, A. V., Sinyavskaya, T. G., & Hahonova, N. N. (2019). Audit risk assessment model. International Journal of Economics & Business Administration, 7(1), 74-85. | en_GB |
dc.identifier.issn | 22414754 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/45632 | - |
dc.description.abstract | Purpose: The purpose of this study is the development of an audit risk model based on the decomposition of classical Audit Risk Model (ARM) with the addition of elements to assess the risks associated with various aspects of the task. Design/Methodology/Approach: The classical ARM is the basis of our model. The factors of the first and second order in the proposed model are the same as in the classical ARM, namely, the risk of significant distortion and the risk of non-detection. The risk of material misstatement is disaggregated into inherent and control risks. We included in the list of second-order factors that affect the value of risk of significant distortion, the risk of material misstatement of financial statements due to unfair acts. Findings: The paper contains the classic ARM's development analysis and the current researches in audit risk modeling review. We formulated the requirements to desired ARM's characteristics based on analysis we made. The ARM modification by classical conceptual model decomposition to the level of simple binary statements is presented. We describe the main structural elements of the developed model and their interrelations. Practical Implications. The presented disaggregated ARM can be used as a methodological basis for assessing audit risk in the course of fulfilling assignments for the audit of financial statements. Originality/Value: The classical ARM author's modification has been developed with the aim to its adapting to a practical risk assessment through logical-probabilistic modeling. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Eleftherios Thalassinos | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Auditing -- Case studies | en_GB |
dc.subject | Risk assessment -- Case studies | en_GB |
dc.title | Audit risk assessment model | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.publication.title | International Journal of Economics & Business Administration | en_GB |
Appears in Collections: | IJEBA, Volume 7, Special Issue 1 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Audit_risk_assessment_model.pdf | 337.21 kB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.