International Journal of Academic Research in Business and Social Sciences

search-icon

Strengthening Digital Audit in the Public Sector: A Governance and Capability Framework for Government Audit Transformation

Open access

Nur Aima Shafie, Zuraidah Mohd Sanusi, Yusarina Mat Isa, Fazlida Mohd Razali, Aziatul Waznah Ghazali, Mohd Daniel Mohd Nassir, Firdaus Amyar

Pages 717-730 Received: 30 May, 2026 Revised: 22 Jun, 2026 Published Online: 17 Jul, 2026

http://dx.doi.org/10.46886/IJARBSS/v16-i7/21786
Digital transformation has changed the way governments process transactions, manage records, monitor controls and demonstrate accountability. As public financial management becomes increasingly data-driven, audit functions must move beyond manual, periodic and sample-based approaches towards more integrated, risk-based and technology-enabled assurance. This conceptual paper examines how digital audit can be strengthened in the public sector through a governance and capability perspective. Drawing on literature in public sector accountability, audit quality, digital government, data analytics and information security, the paper identifies key challenges affecting digital audit implementation, including fragmented systems, weak data quality, limited analytical competency, cybersecurity risk, disconnected audit methodology and resistance to change. The paper proposes a six-dimensional framework consisting of governance, data infrastructure, audit analytics, human capability, cybersecurity and privacy, and continuous improvement. The framework positions digital audit not merely as a software adoption exercise, but as an institutional reform agenda that can improve audit evidence, timeliness, follow-up and public value. The paper contributes to academic and policy discussion by offering a practical structure for government agencies to assess digital audit readiness and plan sustainable transformation.
Abdelwahed, A. S., Abu-Musa, A. A., Badawy, H. A., & Moubarak, H. (2024). Investigating the impact of adopting big data and data analytics on enhancing audit quality. Journal of Financial Reporting and Accounting, 23(2), 472–495. https://doi.org/10.1108/JFRA-12-2023-0724
Adekoya, O. A., Atlam, H. F., & Lallie, H. S. (2025). Quantifying the multidimensional impact of cyber attacks in digital financial services: A systematic literature review. Sensors, 25(14), 4345. https://doi.org/10.3390/s25144345
Bracci, E. (2023). The loopholes of algorithmic public services: An “intelligent” accountability research agenda. Accounting, Auditing & Accountability Journal, 36(2), 739–763. https://doi.org/10.1108/AAAJ-06-2022-5856
Figueredo, E., & Silva, L. C. S. (2026). Challenges of digital services in public administration in the era of digital transformation: A systematic literature review. Journal of the Knowledge Economy. Advance online publication. https://doi.org/10.1007/s13132-026-03277-z
Godz, M. (2025). Artificial intelligence and public sector auditing: Challenges and opportunities for supreme audit institutions. World, 6(2), 78. https://doi.org/10.3390/world6020078
Ismail, I. H. M., & Abdul Hamid, F. Z. (2024). A systematic literature review of the role of big data analysis in financial auditing. Management and Accounting Review, 23(2), Article 14. https://doi.org/10.24191/MAR.V23i02-14
Janssen, M., & van der Voort, H. (2016). Adaptive governance: Towards a stable, accountable and responsive government. Government Information Quarterly, 33(1), 1-5.
Kay Abdullah, S. N. A., Syed Mustapha Nazri, S. N. F., Zolkaflil, S., Shafie, N. A., Mohd Noor, R., & Wulandari, P. P. (2025). The influence of digitalization of internal audit efficacy in the Malaysian public sector. Asia-Pacific Management Accounting Journal, 20(3), 231–272.
Kumari, R., & Sur, J. K. (2025). New development: Real-time audit in the public sector—benefits, challenges and a roadmap. Public Money & Management, 45(6). https://doi.org/10.1080/09540962.2024.2448437
Maulana Saud, I., Sofyani, H., Utami, T. P., Haq, M. M., & Fathmaningrum, E. S. (2025). Big data analytics-based auditing adoption in public sector: Indonesian evidence. Cogent Business & Management, 12(1), 2454320. https://doi.org/10.1080/23311975.2025.2454320
Mökander, J., Schuett, J., Kirk, H. R., & Floridi, L. (2024). Auditing large language models: A three-layered approach. AI and Ethics, 4(4), 1085–1115. https://doi.org/10.1007/s43681-023-00289-2
Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209–234. https://doi.org/10.1007/s10551-019-04407-1
Novy Silvia Dewi, Sharifah Nazatul Faiza, Said, J., & Julian, L. (2025). Influence of big data competencies and self-efficacy on detection of financial statement fraud on internal auditors in Indonesia. Management & Accounting Review, 24(1), 353–381.
Organisation for Economic Co-operation and Development. (2020). The OECD digital government policy framework: Six dimensions of a digital government. OECD Publishing.
Polizzi, S., & Scannella, E. (2023). Continuous auditing in public sector and central banks: A framework to tackle implementation challenges. Journal of Financial Regulation and Compliance, 31(1), 40–59. https://doi.org/10.1108/JFRC-02-2022-0011
Power, M. (2021). Modelling the microfoundations of the audit society: Organizations and the logic of the audit trail. Academy of Management Review, 46(1), 6-32.
Pramiudi, U., Mat Isa, Y., Mohd Sanusi, Z., Subowo, H., & Silahtaroglu, G. (2025). Auditors’ ethical judgment in fraud investigation: The roles of emotional intelligence, moral courage and competency. Asia-Pacific Management Accounting Journal, 20(3), 273–302.
Sofyani, H., Amalia, R., Abu Hasan, H., & Saleh, Z. (2025). Big data analytics in enhancing public sector auditing: Drivers, benefits and the moderating role of auditor certification. Journal of Accounting in Emerging Economies, 16(1), 31–50. https://doi.org/10.1108/JAEE-12-2024-0538
The Institute of Internal Auditors. (2024). Global internal audit standards. The Institute of Internal Auditors.
Uçma Uysal, T. (2025). Artificial intelligence for financial accountability and governance in the public sector: Strategic opportunities and challenges. Administrative Sciences, 15(2), 58. https://doi.org/10.3390/admsci15020058
Volodina, T., & Grossi, G. (2025). Digital transformation in public sector auditing: Between hope and fear. Public Management Review, 27(5), 1444–1468. https://doi.org/10.1080/14719037.2024.2402346
Wang, W., & Vasarhelyi, M. A. (2024). The application of continuous audit and monitoring methodology: A government medication procurement case. International Journal of Accounting Information Systems, 55, 100713. https://doi.org/10.1016/j.accinf.2024.100713
Werner, M., & Dayeh, J. (2025). A comprehensive review of factors limiting auditors’ adoption of advanced audit data analytics. Auditing: A Journal of Practice & Theory. Advance online publication. https://doi.org/10.2308/AJPT-2023-032
Shafie, N. A., Sanusi, Z. M., Isa, Y. M., Razali, F. M., Ghazali, A. W., Nassir, M. D. M., & Amyar, F. (2026). Strengthening Digital Audit in the Public Sector: A Governance and Capability Framework for Government Audit Transformation. International Journal of Academic Research in Business and Social Sciences, 16(7), 717–730.