The Role of Accounting Automation in Developing Budget Execution Accounting in Russian State Universities: The Moderating Effect of Artificial Intelligence
Abstract
Budget execution is an important stage in the public financial management cycle around the world since it determines the actual delivery of services as well as the achievement of government policy objectives through prudent resource allocation and utilisation. As a result, the goal of this research was to examine how accounting automation effects the growth of budget execution accounting in Russian state institutions, as well as how artificial intelligence (AI) alters this relationship. This study utilised an ex-post facto research design, which is appropriate for examining historical data without changing variables. It focusses on secondary data from Russian State Universities from 2012 until 2023. Using Granger Causality Wald Test analysis, the study discovered that accounting software use significantly predicted short-term changes in BEA. The relationship between AI and accounting software (UASUA) had a considerable impact on BEA, although AI alone and other variables such as system improvements and transaction automation had no direct effect. However, interaction terms indicated complicated causal feedback loops, indicating a larger digital environment that influences financial management outcomes. The study indicated that strategic use of accounting software, aided by AI, is critical to upgrading public financial management systems in Russian universities. It was suggested that governmental organisations prioritise integrated accounting systems with AI capabilities to increase budget execution transparency and efficacy.
Keywords
Accounting automationArtificial intelligenceBudget execution transparency.
References
Abdusalomova, & S. T. Ergasheva (2024), Development of international entrepreneurship based on corporate accounting and reporting according to IFRS (Vol. 33A, pp. 91–98). Emerald Publishing Limited. https://doi.org/10.1108/S1877-63612024000033A011 Abubakar, A. R., Mohamed, A. H. A., Rahman, A. A., & Zainal, R. (2023). The adoption of Industry 4.0 technologies in Malaysian SMEs: A TOE framework approach. Journal of Small Business and Enterprise Development, 30(1), 55–72. AICPA. (2024). Artificial intelligence in accounting: Emerging trends and implications. American Institute of Certified Public Accountants. https://www.aicpa.org Akinadewo, I. S., Dagunduro, M. E., Adebiyi, I. M., Ogundele, O. S., & Akinadewo, J. O. (2023). An Assessment of the impact of disruptive technologies on the efficacy of accounting practices in selected southwestern states, Nigeria. International Business & Economics Studies, 5(3), 1-21. https://doi.org/10.22158/ibes.v5n3p1 Akinadewo, I. S., Dagunduro, M. E., Akinadewo, J. O., Oluwagbade, I. O., & Akpan, J. U. (2024). How does artificial intelligence and accountability optimize energy management and cost reduction in Nigeria’s manufacturing firms? In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG) (pp. 1- 12). IEEE. https://doi.org/10.1109/SEB4SDG60871.2024.10629858 AlBar, A. M., & Hoque, M. R. (2019). Factors affecting cloud ERP adoption in Saudi Arabia: An empirical study. Information Development, 35(1), 150–164. Alizadeh, P., & Gholipour Domyeh, M. (2024). How to optimize government R&D budget allocation? A review of recent studies and research gaps. Journal of Science and Technology Policy Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JSTPM-12-2023-0245 Allen, R., Hemming, R., & Potter, B. H. (2013). The international handbook of public financial management. Palgrave Macmillan. Al-Sharafi, M. A., Saeed, M. A., & Ahmad, M. F. (2023). The role of robotic process automation in transforming accounting tasks. Journal of Accounting and Information Systems, 28(1), 45–57. Amjed, H. M., Kosov, M., Fiume, R., Kuznetsov, N., Vasyunina, M., & Semin, A. (2023). Improving the efficiency of budgeting in industrial enterprise: The case of Russia, Italy, and the Middle East. Emerging Science Journal, 7(1), 177–189. Awa, H. O., Ojiabo, O. U., & Emecheta, B. C. (2017). Integrating TAM and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs. Journal of Science and Technology Policy Management, 8(1), 67–95. Baker, J. (2011). The technology–organization–environment framework. In Y. K. Dwivedi, M. R. Wade, & S. L. Schneberger (Eds.), Information systems theory: Explaining and predicting our digital society (Vol. 1, pp. 231–245). Springer. https://doi.org/10.1007/978-1-4419- 6108-2_12 Baker, J. (2012). The technology–organization–environment framework. In Information systems theory (pp. 231–245). Springer. Busayo, T. O., Igbekoyi, O. E., Oluwagbade, O. I., Adewara, Y. M., Dagunduro, M. E., & Boluwaji, Y. D. (2023). Artificial intelligence and service quality of telecommunication firms in Nigeria. Journal of Economics, Finance and Accounting Studies, 5(3), 203-214. https://doi.org/10.32996/jefas.2023.5.3.16 Capone, C., Talgat, S., Hazir, O., Abdrasheva, K., & Kozhakhmetova, A. (2024). Artificial Intelligence Models for Predicting Budget Expenditures. Eurasian Journal of Economic and Business Studies, 68(1), 32–43. https://doi.org/10.47703/ejebs.v68i1.331 Chen, Y., Li, M., & Zhao, H. (2023). Financial tracking and reporting in project management: Enhancing transparency and control. International Journal of Project Management, 41(2), 125–136. Dagunduro, M. E., Falana, G. A., Adewara, Y. M. & Busayo, T. O. (2023). Application of artificial intelligence and audit quality in Nigeria. Humanities, Management, Arts, Education & the Social Sciences Journal. 11(1), 39-56. https://dx.doi.org/10.22624/AIMS/HUMANITIES/V11N1P4 Dahana, M. A. (2020). Analysis of the budget planning process and budget execution process. European Journal of Business and Management Research, 5(4). https://doi.org/10.24018/ejbmr.2020.5.4.426 Datsenko, H., Kudyrko, O., Krupelnytska, I., Maister, L., Hladii, I., & Kopchykova, I. (2024). Innovative approaches to the use of artificial intelligence in accounting, control, and analytical processes to enhance enterprise competitiveness. Salud, Ciencia y Tecnología - Serie de Conferencias, 3(665), 1. Deloitte. (2023). AI and the future of finance: Transforming accounting through automation. Deloitte Insights. https://www2.deloitte.com Falana, G. A., Igbekoyi, O. E., & Dagunduro, M. E. (2023). Effect of big data on accounting information quality in selected firms in Nigeria. International Journal of Research and Innovation in Social Science, 7(3), 789-806. https://doi.org/10.47772/IJRISS Garcia, R., & Lee, S. (2021). Cost integration in project accounting: A framework for better financial governance. Journal of Accounting and Project Management, 18(3), 220–235. Gupta, A., Singh, R., & Bansal, S. (2023). The role of artificial intelligence in enhancing public financial management. Journal of Public Administration and Governance, 13(1), 112–127. Jere, N. R. (2019). Factors influencing ICT adoption and usage in South African SMEs: A TOE perspective. Journal of African Business, 20(3), 343–361. Klimov, V., & Lebedeva, N. (2020). Budget Execution Challenges in Russian Higher Education Institutions. Journal of Public Administration and Policy Research, 12(3), 45–54. König, A., Schöbel, S., & Vogt, S. (2023). The impact of automation on financial decision-making in public institutions. Journal of Public Sector Management, 39(2), 118–134. Kurniawan, M. A., Nugroho, R. A., & Anshari, M. (2021). Accounting automation adoption in Indonesian SMEs: Opportunities and challenges. Journal of Digital Business and Innovation, 5(3), 112–125. Luo, H., & Luo, H. (2021). RPA and artificial intelligence in budget management based on multiperspective recognition based on network communication integration. Wireless Communications and Mobile Computing, 2021(1), https://doi.org/10.1155/2021/9723379 Malkogianni, I. (2024). Earnings management detection through budget execution: Insights from Greek municipalities. Journal of Public Budgeting, Accounting & Financial Management, 36(3), 320–342. https://doi.org/10.1108/JPBAFM-05-2023-0080 Martynova, T. A., Latukha, M. O., Kucherov, D. G., Smirnova, M. M., Gilenko, E. V., Gavrilova, T. A., ... & Kuropatkina, T. M. (2023). St. Petersburg State University Graduate School of Management Conference, October 3–7th, 2023, St. Petersburg, Russia. Mohammed, K. A., Inuwa, U., & Enemali, V. A. (2024). Influence of digital accounting system on small and medium scale enterprise performance in Plateau State, Nigeria. Journal of Accounting Technology, 18(3), 205–218. Moll, J., & Yigitbasioglu, O. M. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. The British Accounting Review, 51(6), 100833. Nanda, A. S. (2024). AI in treasury management: Enhancing bank’s treasury system for budget execution in the medium term. International Journal of Science and Research (IJSR), 13(3), 1906–1912. https://dx.doi.org/10.21275/SR24712003517 Nwankwo, P. E., Igwe, A. O., & Nnamani, C. O. (2025). Effect of automated accounting software on the efficiency of Nigerian SMEs’ financial operations. Global Journal of Auditing and Finance, 7(1), 1–17. https://doi.org/10.5281/zenodo.15193261 Nwekwo, N. M., Anisiuba, C., Eneh, S. N., Orjiakor, I. P., Chukwuani, V., & Ugwu, N. (2024). Effect of accounting software on the fi
More Articles from JOURNAL OF ACCOUNTING AND FINANCIAL MANAGEMENT
Operational Resilience in Financial Services: An Integrated Risk, Control, and Analytics Framework
Author: Funmilayo Ashore-Onisemo, Uchechi Mary-Linda Unamma
Impact of Data Analytics Adoption on Audit Quality in the Public Sector Accounting Reporting
Author: Ikenna, Ogochukwu Eunice
Cashflow Management and the Performance of Commercial Banks in Nigeria
Author: Jeffrey Ayas Iyakonbogha, Clement E. Ozele
Artificial Intelligence-Driven Internal Control Systems and Cybercrime Prevention in Nigerian Deposit Money Banks
Author: Fasola Job Adedokun, Olojede Samson Olusola FCA
The Nigerian Code of Corporate Governance and Financial Performance of Deposit Money Banks in Nigeria
Author: i, Eneaniofu Daniel Mmaduakonam, ii, Azolike Nkiru Nkechi, iii, Emeter Patrick Okechukwu, iv, Okwor Emmanuel Ejimnkonye