The Impact of Digital Technologies on the Audit Process
DOI:
https://doi.org/10.31150/ajebm.v8i7.3822Keywords:
Audit, Legislation, Digital Technologies, E-Commerce, International Financial Reporting Standards, Artificial IntelligenceAbstract
This article examines the issues of introducing digital technologies into audit practice and their impact on the audit process and methodology. In recent years, digital technologies have significantly reshaped the landscape of financial auditing. The integration of tools such as artificial intelligence (AI), blockchain, data analytics, and robotic process automation (RPA) has allowed auditors to improve the accuracy, efficiency, and timeliness of audit processes. This paper explores the extent to which digital technologies are transforming traditional audit practices, focusing on the opportunities they present as well as the challenges that come with their adoption. Emphasis is placed on how these technologies enhance risk assessment, automate routine tasks, and improve decision-making through real-time data analysis. Moreover, the paper examines the skills gap among auditors and regulatory implications associated with digital auditing. By analyzing recent literature and case studies, this study provides a comprehensive understanding of the evolving audit ecosystem and the strategic role of digital innovation in shaping its future. The findings suggest that while digital technologies can greatly enhance audit quality and efficiency, their implementation must be accompanied by proper training, ethical considerations, and an updated regulatory framework to ensure reliability and transparency.
Downloads
References
[1] E. Brynjolfsson and A. McAfee, The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company, 2014.
[2] KPMG, ‘Digital Transformation in Audit’. KPMG Global, 2021.
[3] M. Alles and G. L. Gray, ‘The impact of technology on auditing: A research synthesis’, J. Account. Lit., vol. 44, pp. 1–34, 2020.
[4] EY, ‘The future of audit is here’. Ernst & Young Global, 2020.
[5] J. Kokina and T. H. Davenport, ‘The role of AI in accounting: A review of current applications and future directions’, J. Emerg. Technol. Account., vol. 19, no. 1, pp. 1–15, 2022.
[6] PwC, ‘The Digital Auditor: Reimagining the future of audit’. PricewaterhouseCoopers, 2023.
[7] IAASB, ‘Technology Working Group Publication: The Impact of Technology in Audit’. International Auditing and Assurance Standards Board, 2020.
[8] N. Sutton, ‘How AI is revolutionising accounting’, Account. Age, 2024.
[9] M. G. Alles, ‘Drivers of the use and facilitators and obstacles of the evolution of Big Data by the audit profession’, Account. Horiz., vol. 29, no. 2, pp. 439–449, 2015.
[10] F. Tang and K. Karim, ‘Blockchain and auditing: A literature review of the current state and future research opportunities’, J. Emerg. Technol. Account., vol. 18, no. 2, pp. 37–59, 2021.
[11] N. V. S. Ratzinger-Sakel and M. Ezzamel, ‘Digital transformation and audit quality: The role of auditor judgment in an AI environment’, Account. Bus. Res., vol. 50, no. 5, pp. 447–469, 2020.
[12] K. Yoon, L. Hoogduin, and L. Zhang, ‘Big Data as complementary audit evidence’, Account. Horiz., vol. 29, no. 2, pp. 431–438, 2015.
[13] D. Appelbaum, A. Kogan, and M. A. Vasarhelyi, ‘Big Data and analytics in the modern audit engagement: Research needs’, Audit. J. Pract. Theory, vol. 36, no. 4, pp. 1–27, 2017.
[14] M. Cao, R. Chychyla, and T. Stewart, ‘Big data and AI in auditing: Opportunities and challenges’, J. Inf. Syst., vol. 35, no. 2, pp. 45–62, 2021.
[15] Deloitte, ‘Tech Solutions for Public Sector Efficiency’. 2021.
[16] H. Issa and A. Kogan, ‘A decision support system for team-based audit review planning using data analytics’, J. Inf. Syst., vol. 33, no. 3, pp. 61–83, 2019.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Muydinov Erkin Dzhamaldinovich

This work is licensed under a Creative Commons Attribution 4.0 International License.