Digital Transformation in Accounting: Challenges, Risks, and Financial Reporting Quality

Artikel Jul 8, 2026
Abstract

Purpose: This study investigates the challenges and risks associated with digital transformation in the accounting profession and evaluates its effect on the reliability of financial statements and the quality of accounting reports.


Methodology: A descriptive analytical approach was employed, synthesizing peer reviewed literature, professional body publications, and comparative empirical evidence on artificial intelligence, blockchain, cloud computing, and cybersecurity in accounting contexts across developed and emerging economies.


Results: Digital transformation improves data accuracy, processing speed, and audit efficiency, yet simultaneously introduces cybersecurity exposure, a persistent digital skills gap, legacy system integration difficulties, and regulatory uncertainty that jointly moderate these benefits. Two comparative tables
synthesizing technology adoption rates and reported outcome metrics illustrate that benefits are unevenly distributed across firm size and technology type.


Conclusions: Digital transformation exerts a statistically supported positive influence on financial statement reliability and accounting report quality, although this influence is meaningfully constrained
by cybersecurity threats, workforce readiness, and regulatory lag, confirming that technology adoption alone cannot guarantee improved reporting outcomes without complementary organizational investment.


Limitations: The analysis relies on secondary literature rather than newly collected primary data, and the pace of technological change means some findings may evolve rapidly.


Contributions: The study integrates fragmented strands of accounting technology research into a single moderating framework and offers clear, practical guidance for organizations, accountants, and regulators navigating digital transformation.

Keywords
Accounting Quality Cybersecurity Risk Digital Transformation Financial Statement Reliability Regulatory Framework
References
1
Adjei, J. K., Adams, S., & Mamattah, L. (2021). Cloud computing adoption in Ghana: Accounting for institutional factors. Technology in Society, 65, 101583. https://doi.org/10.1016/j.techsoc.2021.101583
2
Al-Htaybat, K., & von Alberti-Alhtaybat, L. (2017). Big Data and corporate reporting: Impacts and paradoxes. Accounting, Auditing & Accountability Journal, 30(4), 850–873. https://doi.org/10.1108/AAAJ-07-2015-2139
3
Al-Htaybat, K., von Alberti-Alhtaybat, L., & Alhatabat, Z. (2019). Educating digital natives for the future: Accounting educators’ evaluation of the accounting curriculum. Accounting Education, 27(4), 333–357. https://doi.org/10.1080/09639284.2018.1437758
4
Aldasoro, I., Gambacorta, L., Giudici, P., & Leach, T. (2022). The drivers of cyber risk. Journal of Financial Stability, 60, 100989. https://doi.org/10.1016/j.jfs.2022.100989
5
Alles, M. G. (2015). Drivers of the use and facilitators and obstacles of the evolution of Big Data by the audit profession. Accounting Horizons, 29(2), 439–449. https://doi.org/10.2308/acch-51067
6
Bakumenko, A., & Elragal, A. (2022). Detecting anomalies in financial data using machine learning algorithms. Systems, 10(5), 130. https://doi.org/10.3390/systems10050130
7
Bhimani, A., & Willcocks, L. (2014). Digitisation, “Big Data” and the transformation of accounting information. Accounting and Business Research, 44(4), 469–490. https://doi.org/10.1080/00014788.2014.910051
8
Bonsón, E., & Bednárová, M. (2019). Blockchain and its implications for accounting and auditing. Meditari Accountancy Research, 27(5), 725–740. https://doi.org/10.1108/MEDAR-11-2018-0406
9
Brown-Liburd, H., Issa, H., & Lombardi, D. (2015). Behavioral implications of Big Data’s impact on audit judgment and decision making and future research directions. Accounting Horizons, 29(2), 451–468. https://doi.org/10.2308/acch-51023
10
Cao, M., Chychyla, R., & Stewart, T. (2015). Big Data analytics in financial statement audits. Accounting Horizons, 29(2), 423–429. https://doi.org/10.2308/acch-51068
11
Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of Information Systems, 31(3), 5–21. https://doi.org/10.2308/isys-51804
12
Fedyk, A., Hodson, J., Khimich, N., & Fedyk, T. (2022). Is artificial intelligence improving the audit process? Review of Accounting Studies, 27, 938–985. https://doi.org/10.1007/s11142-022-09697-x
13
Gepp, A., Linnenluecke, M. K., O’Neill, T. J., & Smith, T. (2018). Big data techniques in auditing research and practice: Current trends and future opportunities. Journal of Accounting Literature, 40, 102–115. https://doi.org/10.1016/j.acclit.2017.05.003
14
Gonçalves, M. J. A., da Silva, A. C. F., & Ferreira, C. G. (2022). The future of accounting: How will digital transformation impact the sector? Informatics, 9(1), 19. https://doi.org/10.3390/informatics9010019
15
Hamundu, F. M., Husin, M. H., Baharudin, A. S., & Khaleel, M. (2020). Intention to adopt cloud accounting: A conceptual model from Indonesian MSMEs’ perspectives. Journal of Asian Finance, Economics and Business, 7(12), 749–759. https://doi.org/10.13106/jafeb.2020.vol7.no12.749
16
Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial intelligence: A literature review. International Journal of Accounting Information Systems, 48, 100598. https://doi.org/10.1016/j.accinf.2023.100598
17
Jiang, H., & Kim, J. B. (2021). Cyber risk and the U.S. financial system: A pre-mortem analysis. Journal of Financial Economics, 145(3), 802–826. https://doi.org/10.1016/j.jfineco.2021.10.007
18
Kend, M., & Nguyen, L. (2022). The emergence of audit data analytics in existing audit spaces: Findings from three technologically advanced audit and assurance service markets. Qualitative Research in Accounting & Management, 19(5), 540–563. https://doi.org/10.1108/QRAM-01-2021-0005
19
Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115–122. https://doi.org/10.2308/jeta-51730
20
Krahel, J. P., & Titera, W. R. (2015). Consequences of Big Data and formalization on accounting and auditing standards. Accounting Horizons, 29(2), 409–422. https://doi.org/10.2308/acch-51065
21
Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews, P., Mädche, A., Urbach, N., & Ahlemann, F. (2017). Digitalization: Opportunity and challenge for the business and information systems engineering community. Business & Information Systems Engineering, 59(4), 301–308. https://doi.org/10.1007/s12599-017-0484-2
22
Li, L., Su, F., Zhang, W., & Mao, J. Y. (2018). Digital transformation by SME entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157. https://doi.org/10.1111/isj.12153
23
Maelah, R., Lami, M., & Ghassan, G. (2020). Management accounting information usefulness and cloud computing qualities among small and medium enterprises. International Journal of Management Studies, 26(1), 1–27. https://doi.org/10.32890/ijms.26.1.2019.10511
24
Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. British Accounting Review, 51(6), 100833. https://doi.org/10.1016/j.bar.2019.04.002
25
Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167, 209–234. https://doi.org/10.1007/s10551-019-04407-1
26
Noordin, N. A., Hussainey, K., & Hayek, A. F. (2022). The use of artificial intelligence and audit quality: An analysis from the perspectives of external auditors in the UAE. Journal of Risk and Financial Management, 15(8), 339. https://doi.org/10.3390/jrfm15080339
27
Peng, Y., Ahmad, S. F., Ahmad, A. Y. A. B., Al Shaikh, M. S., Daoud, M. K., & Alhamdi, F. M. H. (2023). Riding the waves of artificial intelligence in advancing accounting and its implications for sustainable development goals. Sustainability, 15(19), 14165. https://doi.org/10.3390/su151914165
28
Richins, G., Stapleton, A., Stratopoulos, T. C., & Wong, C. (2017). Big Data analytics: Opportunity or threat for the accounting profession? Journal of Information Systems, 31(3), 63–79. https://doi.org/10.2308/isys-51805
29
Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29, 37–58. https://doi.org/10.1016/j.accinf.2018.03.001
30
Salijeni, G., Samsonova-Taddei, A., & Turley, S. (2019). Big Data and changes in audit technology: Contemplating a research agenda. Accounting and Business Research, 49(1), 95–119. https://doi.org/10.1080/00014788.2018.1459458
31
Schmitz, J., & Leoni, G. (2019). Accounting and auditing at the time of blockchain technology: A research agenda. Australian Accounting Review, 29(2), 331–342. https://doi.org/10.1111/auar.12286
32
Sutton, S. G., Holt, M., & Arnold, V. (2016). “The reports of my death are greatly exaggerated”: Artificial intelligence research in accounting. International Journal of Accounting Information Systems, 22, 60–73. https://doi.org/10.1016/j.accinf.2016.07.005
33
Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big Data in accounting: An overview. Accounting Horizons, 29(2), 381–396. https://doi.org/10.2308/acch-51071
34
Yoon, K., Hoogduin, L., & Zhang, L. (2015). Big Data as complementary audit evidence. Accounting Horizons, 29(2), 431–438. https://doi.org/10.2308/acch-51076
How to Cite
Oleiwi, W. D. (2026). Digital Transformations in the Accounting Profession: An Analytical Study of the Challenges and Risks Arising from Electronic Work and Its Impact on the Reliability of Financial Statements and the Quality of Accounting Reports. Studi Akuntansi Dan Bisnis Indonesia, 2(3), 163–176. https://doi.org/10.61401/sabi.v2i3.582
Section
Artikel
Authors
W
Waad Dhahir Oleiwi
University of Kirkuk, Kirkuk, Iraq
Published
Published Jul 8, 2026
Issue
Vol. 2 No. 3 (2026): July
Section: Artikel