Digital transformation of public sector accounting through artificial intelligence to improve financial transparency and accountability
Lentera Negeri October 07, 2026 Volume 7, Number 1 5 authors
Abstract
Artificial Intelligence (AI) has emerged as a transformative technology that reshapes public sector accounting by improving financial management efficiency, transparency, and accountability. This study aims to examine the role of AI in the digital transformation of public sector accounting and its contribution to enhancing public financial governance. Using a narrative literature review approach, the study analyzes relevant books, peer-reviewed journal articles, government reports, and other scholarly publications concerning AI, digital transformation, and public sector accounting. The findings indicate that AI significantly enhances accounting efficiency through process automation, predictive financial analysis, intelligent auditing, and real-time reporting while strengthening financial transparency and institutional accountability. The Technology Acceptance Model (TAM) explains that perceived usefulness and perceived ease of use are critical determinants of successful AI adoption within public organizations. However, organizational readiness, digital infrastructure, data governance, and regulatory support remain essential prerequisites for effective implementation. The study concludes that AI-driven digital transformation provides substantial opportunities for improving public financial governance and offers strategic insights for policymakers seeking sustainable and accountable financial management systems.
Authors
Arthur Reinaldo Tanihatu
Politeknik Negeri Ambon
Nana Adriana
Univeristas Pertiba
Moh. Sholeh
Universitas Trunodjoyo Madura
Sukriyah Sukriyah
Universitas Insan Pembangunan Indonesia
Budiandru Budiandru
FEB Universitas Muhammadiyah Prof Dr Hamka
Keywords
Artificial intelligencePublic sector accountingFinancial transparency and accountability
References
Achara, E. (2026). Industry 4.0: Organizational Readiness and Workforce Transformation With Policy, Regulation, and Governance Framework.
Agostino, D., Lourenço, R., & Jorge, S. (2025). Data science and public sector accounting: Reviewing impacts on reporting, auditing, and accountability practices. Public Money & Management. https://doi.org/10.1080/09540962.2025.2529266
Al-Hashimy, H. N. H., Yao, J., Pitchay, A. A., & Azhar, Z. (2026). Transforming public sector accounting through AI: organisational capabilities, implementation effectiveness, and public value. Future Business Journal, 12, 116. https://doi.org/10.1186/s43093-026-00827-4
Aldemir, C., & 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
Alonso-Morales, N., Saez-Martín, A., Plata-Díaz, A. M., & Lopez-Hernandez, A. M. (2026). Perception of the benefits of artificial intelligence in public auditing and its impact on technology acceptance: empirical evidence from European regional audit institutions. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/JFRA-09-2025-0719
Astika, I. W., Sinarwati, N. K., & Purnamawati, I. G. A. (2026). Artificial Intelligence in Accounting and Financial Reporting: A Systematic Literature Review and Research Agenda. Research Horizon, 6(3), 1399–1414. https://doi.org/10.54518/rh.6.3.2026.1132
Bracci, E., Tallaki, M., & Ebua Otia, J. (2026). Propensity factors of artificial intelligence technology adoption by public sector auditors. Journal of Public Budgeting, Accounting & Financial Management, 38(1), 59–86. https://doi.org/10.1108/JPBAFM-09-2024-0189
Chávez-Díaz, J. M., Aquiño-Perales, L., De-Velazco-Borda, J. L., Villagómez-Chinchay, J. A., & Flores-Sotelo, W. S. (2024). Artificial intelligence in accounting and auditing: bibliometric analysis in Scopus 2020-2023. Indonesian Journal of Electrical Engineering and Computer Science, 36(2), 1319–1328. https://doi.org/10.11591/ijeecs.v36.i2.pp1319-1328
Crescenzi, C. (2025). Integration of IBM Knowledge Catalog into a highly complex analytical workflow and comparison with Data Governance tools for enterprise data management. Politecnico di Torino.
Darmawati, D., Jaafar, N. I., HS, R., Baja, H. K., Purisamya, A. J., Yolanda, A. M. W., Amir, B., & Juanda, M. R. P. (2025). The Role of Artificial Intelligence in Improving the Efficiency and Accuracy of Local Government Financial Reporting: A Systematic Literature Review. Journal of Risk and Financial Management, 18(11), 601–614. https://doi.org/10.3390/jrfm18110601
Deszca, G., Ingols, C., Atanassova, E., & Cawsey, T. F. (2024). Organizational change: An action-oriented toolkit. Sage Publications.
Elhajji, A. A., & Mihai-Yiannaki, S. (2025). Strategic and regulatory challenges of mergers and acquisitions in the Libyan banking sector: a theoretical and practical approach. International Journal of Organizational Analysis.
Elnakeeb, S., & Elawadly, H. S. H. (2025). Automation and artificial intelligence in accounting: a comprehensive bibliometric analysis and future trends. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/JFRA-09-2024-0639
Elsharif, K., & Alrifai, Y. (2025). Risk Mitigation Strategies for Addressing Data Migration, Harmonization, and Consolidation Challenges in Post Acquisition Environments. Journal of Data, Models, and Decision Making for Intelligent Systems and Society, 15(10), 1–15.
Feng, R., & Peng, Y. (2026). Emerging trends in responsible research and innovation: how China is shaping its life and health data governance ecosystem. Journal of Responsible Innovation, 13(1), 2700824.
Hamdy, A., Diab, A., & Eissa, A. M. (2025). Digital Transformation and the Quality of Accounting Information Systems in the Public Sector: Evidence from Developing Countries. International Journal of Financial Studies, 13(1), 30. https://doi.org/10.3390/ijfs13010030
Hernández Aros, L., Bustamante Molano, L. X., Gutierrez-Portela, F., Moreno Hernandez, J. J., & Rodríguez Barrero, M. S. (2024). Financial fraud detection through the application of machine learning techniques: a literature review. Humanities and Social Sciences Communications, 11, 1130. https://doi.org/10.1057/s41599-024-03606-0
Indrayani, I., Sukoharsono, E. G., Djamhuri, A., & Roekhudin, R. (2024). Mapping research landscape of emerging technology in the accounting field: a bibliometric analysis. Cogent Business & Management, 11(1), 2407044. https://doi.org/10.1080/23311975.2024.2407044
Irianti, D. I., Purnamawati, I. G. A., & Dewi, G. A. R. S. (2026). Digitalization of Public Accountability: Integrating Digital Literacy into Public Sector Audit and Accounting Practice. Research Horizon, 6(2), 1051–1062. https://doi.org/10.54518/rh.6.2.2026.1123
Kassar, M., & Jizi, M. (2025). Artificial intelligence and robotic process automation in auditing and accounting: a systematic literature review. Journal of Applied Accounting Research. https://doi.org/10.1108/JAAR-05-2024-0175
Kureljusic, M., & Karger, E. (2023). Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda. Journal of Applied Accounting Research, 25(1), 81–104. https://doi.org/10.1108/JAAR-06-2022-0146
Laksono, J., Bahari, Z., & Kamil, K. (2026). Enhancing Government Financial Transparency through Artificial Intelligence-Based Anomaly Detection in Government Credit Card Transactions. Journal of Accounting, Management, and Economics Research (JAMER), 5(1), 79–90. https://doi.org/10.33476/jamer.v5i1.463
Latupeirissa, J. J. P., Dewi, N. L. Y., Prayana, I. K. R., Srikandi, M. B., Ramadiansyah, S. A., & Pramana, I. B. G. A. Y. (2024). Transforming Public Service Delivery: A Comprehensive Review of Digitization Initiatives. Sustainability, 16(7), 2818. https://doi.org/10.3390/su16072818
Li, L. (2024). Reskilling and upskilling the future-ready workforce for industry 4.0 and beyond. Information Systems Frontiers, 26(5), 1697–1712.
Maczo, L. B., & Quynh, T. Le. (2026). Data governance in post-merger: A multi-method case study.
Paul Armijo, C. R. (2026). Addressing Internal Control and Role Misalignments in the Marine Corps Defense Agencies Initiatie Implementation: A Structural Perspective. Acquisition Research Program.
Popli, M., Raithatha, M., & Gaur, A. (2025). Speed of Institutional Reforms, Competitive Dynamics, and Cross‐border Acquisitions: Evidence from Emerging Economies. British Journal of Management, 36(4), 1816–1834.
Priyadi, U., & Arwani, A. (2024). Digital transformation: Artificial intelligence shaping the future of public sector. New Applied Studies in Management, Economics & Accounting, 7(4), 54–67. https://doi.org/10.22034/nasmea.2024.193544
Reddy, S. (2024). Generative AI in healthcare: an implementation science informed translational path on application, integration and governance. Implementation Science, 19(1), 27.
Spanò, R., Kuruppu, S., Gomes, D., & Iacuzzi, S. (2026). Digital transformations in public sector accounting, auditing and accountability: palliative or panacea? Journal of Public Budgeting, Accounting & Financial Management, 38(1), 1–16. https://doi.org/10.1108/JPBAFM-11-2025-0334
Tahir, M. I., Martini, A., Gunawan, A. A. N., Makbul, Y., Yossa, N., Wiryanto, W., Fahrudin, M., & Ilyas, R. (2025). Can digital transformation improve the transparency and accountability of Indonesian public governance? International Journal of Data and Network Science, 9(3), 689–700. https://doi.org/10.5267/j.ijdns.2025.3.010
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, X., & Cui, H. (2026). Digital empowerment for manufacturing enterprises transformation: an SAO framework analysis of legitimacy, availability and governance mechanisms. Industrial Management & Data Systems, 126(5), 1509–1536.
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Cite this article
Arthur Reinaldo Tanihatu; Nana Adriana; Moh. Sholeh; Sukriyah Sukriyah; Budiandru Budiandru (2026). Digital transformation of public sector accounting through artificial intelligence to improve financial transparency and accountability. Lentera Negeri, 7(1), 2023-2032. https://doi.org/10.29210/993090
Arthur Reinaldo Tanihatu; Nana Adriana; Moh. Sholeh; Sukriyah Sukriyah; Budiandru Budiandru. "Digital transformation of public sector accounting through artificial intelligence to improve financial transparency and accountability." Lentera Negeri 7, no. 1 (2026): 2023-2032. https://doi.org/10.29210/993090
Arthur Reinaldo Tanihatu; Nana Adriana; Moh. Sholeh; Sukriyah Sukriyah; Budiandru Budiandru (2026) 'Digital transformation of public sector accounting through artificial intelligence to improve financial transparency and accountability', Lentera Negeri, 7(1), pp. 2023-2032. https://doi.org/10.29210/993090
Arthur Reinaldo Tanihatu; Nana Adriana; Moh. Sholeh; Sukriyah Sukriyah; Budiandru Budiandru. "Digital transformation of public sector accounting through artificial intelligence to improve financial transparency and accountability." Lentera Negeri, vol. 7, no. 1, 2026, pp. 2023-2032. https://doi.org/10.29210/993090