BUDGETING INSTRUMENTS IN THE DIGITAL ECONOMY: A METHODOLOGICAL TRANSFORMATION
Abstract
The article presents a comprehensive study of the transformation of budgeting instruments in the context of the emergence of the digital economy and substantiates the objective necessity of transitioning from traditional, static approaches to adaptive models of financial management. The key factors driving the paradigm shift in budgeting are identified, including the digitalization of business processes, the increasing level of environmental uncertainty, the acceleration of information flows, and the growing requirements for the responsiveness of managerial decision-making. Particular attention is paid to the analysis of the limitations of classical budgeting systems, notably their inertia, low flexibility, and limited capacity to account for dynamic changes in the economic environment. The methodological foundations for modernizing the budgeting process through the integration of digital technologies—such as Big Data, business intelligence (BI), artificial intelligence (AI), and decision support systems—are elaborated. It is argued that the use of digital tools enhances forecasting accuracy, enables the processing of large-scale data in real time, and supports the development of well-grounded financial scenarios for enterprise development. The study systematizes contemporary approaches to budgeting transformation, taking into account their adaptation to the conditions of the digital environment. An adaptive budgeting system is proposed, combining tools of predictive analytics, scenario modeling, dynamic resource reallocation, and continuous financial planning. Its key elements and implementation mechanisms within the corporate environment are defined. Special attention is given to the role of integrated information systems and digital platforms. It is demonstrated that the implementation of digital budgeting instruments contributes to enhancing the financial resilience of enterprises, increasing their adaptability to external shocks, and improving the quality of managerial decision-making. It is substantiated that digital budgeting serves as an important tool for ensuring sustainable enterprise development, strengthening competitiveness, and enabling effective performance under conditions of turbulence and strategic uncertainty in the economic environment.
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Libby, T., Lindsay, R. M. (2010). Beyond Budgeting or Budgeting Reconsidered? A Survey of North-American Budgeting Practice. Management Accounting Research, 21(1), 56–75. DOI: https://doi.org/10.1016/j.mar.2009.10.003
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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. DOI: https://doi.org/10.1016/j.bar.2019.04.002
Appio, F. P., et al. (2021). The Evolution of Big Data and Learning Analytics in Organizations: A Review and Research Agenda. Journal of Business Research, 136, 534–548. DOI: https://doi.org/10.24059/olj.v16i3.267
Valle-Cruz, D., Criado, J. I., & Sandoval-Almazán, R. (2022). From E-budgeting to smart budgeting: Exploring the potential of artificial intelligence in government decision-making for resource allocation. International Journal of Accounting Information Systems, 46, 100619. DOI: https://doi.org/10.1016/j.accinf.2022.100619
Bukh, P. N., & Malmi, T. (2025). Moving beyond Beyond Budgeting: A case study of the dynamic interrelationships between budgets and forecasts. Accounting, Organizations and Society, (in press / online 2024). DOI: https://doi.org/10.1080/09638180.2024.2362681
Nielsen, S. (2022). Management accounting and artificial intelligence: A review and research agenda. Journal of Management Accounting Research, 34(2), 97–116. DOI: https://doi.org/10.1016/j.bar.2025.101551
Baferani, F. A., et al. (2026). Shaping new horizons in management accounting with artificial intelligence: an exploration of information networks. International Journal of Accounting Information Systems. DOI: https://doi.org/10.1016/j.accinf.2026.100171
OECD. Digital Economy Outlook 2020. Paris: OECD Publishing, 2020. 332 p.
IMF. World Economic Outlook 2023. Washington, DC: International Monetary Fund, 2023. – 280 p.
KPMG. Digital Finance Report. 2022. 45 p.
Teece, D. J., Pisano, G., Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. DOI: https://doi.org/10.1002/(SICI)1097-0266(199708)18:73.0.CO;2-Z
Holling, C. S. (1978). Adaptive environmental assessment and management. Wiley.
Davenport, T. H., Harris, J. G. (2007). Competing on analytics: The new science of winning. Harvard Business School Press.
Walker, B., Salt, D. (2006). Resilience thinking. Island Press.

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