RISKS WITHIN E-AUDIT AND WAYS TO MINIMIZE THEM

Authors

DOI:

https://doi.org/10.32782/2617-5940.1.2025.1

Keywords:

e-audit, e-audit risks, audit consulting, artificial intelligence in audit, risk classification, digitalization of audit, tax control, risk diagnostics

Abstract

The purpose of the article is to identify the key risks that may arise in the process of implementing electronic audit, and also to formulate the areas of action to minimize their strength or probability of occurrence. The article uses general scientific and special scientific research methods. General scientific methods include deduction, analysis, classification, and others. Special scientific methods include risk mapping, risk scoring, rating, and others. The research methodology consists of working with sources at the first stage with the identification of risks that are characteristic of the electronic audit process when used for tax control purposes. The next step is to classify the existing risks, identify the most significant ones, and conduct a scoring assessment in terms of probability of occurrence, potential impact, and weight. Upon completion of the normalization of the weight of each risk, a rating is performed, and a risk signal map is built to visualize the results. As a result, conclusions are formulated regarding the prioritization of existing risks and threats in the process of implementation and use of electronic audit of the State Tax Service of Ukraine. The paper investigates the risks of electronic audit and ways to minimize them in the context of digitalization of control procedures. The main types of risks are systematized and classified according to various criteria: stages of e-audit, source of occurrence, type of technical problems, interaction with tax authorities, nature of violations detection, e-audit results, human factor impact and information security. The most significant risks have been identified, namely artificial intelligence hallucinations, hacker interference with the system, lack of programming specialists, overdependence on service providers, use of data for illegal purposes, and software incompatibility. The identified risks are assessed in terms of probability and potential impact. The author proposes a set of measures to minimize each of the identified risks aimed at improving the efficiency and security of electronic audit systems. The value of the study is manifested in both practical and theoretical aspects. The practical value lies in the fact that the results obtained allow prioritizing the work with risks when implementing electronic audit, as well as in the further improvement of the mechanism, to maximize the efficiency of the process and minimize the likelihood or severity of destructive phenomena. The theoretical value lies in the further development of the theory of e-audit risk management.

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Indriyanto E. (2023) The role of information technology in increasing audit process efficiency. Jurnal Ekonomi, vol. 7, no. 2, pp. 1441–1446.

Susanto H., et al. (2023) The Influence of Independence, Experience, and Competence on Audit Quality Mediated by the Effectiveness of E-Audit. Research Horizon, vol. 3, no. 1, pp. 348–361.

Zakaria H. (2021) The use of artificial intelligence in e-accounting audit. The fourth industrial revolution: Implementation of artificial intelligence for growing business success, pp. 341–356. DOI: https://doi.org/10.1007/978-3-030-62796-6_20

Published

2025-05-29

How to Cite

Bezverkhyi, K., Parasii-Verhunenko, I., & Hordopolov, V. (2025). RISKS WITHIN E-AUDIT AND WAYS TO MINIMIZE THEM. Збірник наукових праць Державного податкового університету, (1), 3–10. https://doi.org/10.32782/2617-5940.1.2025.1