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Using Artificial Intelligence in the Result-Oriented Budgeting Process

Field of Science:AccountingBusiness and International ManagementBusiness, Management and Accounting (miscellaneous)General Business, Management and AccountingIndustrial RelationsManagement Information SystemsManagement of Technology and InnovationMarketingStrategy and ManagementTourism, Leisure and Hospitality ManagementEconomics and EconometricsEconomics, Econometrics and Finance (miscellaneous)FinanceGeneral Economics, Econometrics and Finance
National field of science (HAC):08.00.00 — Economic sciences05.08.01 — Transport systems of the country, its regions, cities and industrial centers. Transport logistics08.00.01 — Economic theory08.00.02 — Macroeconomics08.00.03 — Industrial economics08.00.04 — Agricultural economics08.00.05 — Service sector economics08.00.06 — Econometrics and statistics08.00.08 — Accounting, economic analysis and audit08.00.09 — World economy08.00.10 — Demography. Labor economics08.00.11 — Marketing08.00.12 — Regional economics08.00.13 — Management08.00.14 — Information systems and technologies in economics08.00.15 — Economics of entrepreneurship and small business08.00.16 — Digital economy and international digital integration08.00.17 — Tourism and hospitality13.00.07 — Educational management08.00.07 — Finance, money circulation and credit
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Scientific electronic journal "Digital Economy"

Scientific electronic journal "Digital Economy"

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ARTICLE ANNOTATION

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This article explores the possibilities of using artificial intelligence (AI) to modify results-oriented budgeting processes. The article systematizes the main directions of artificial intelligence application. It was concluded that artificial intelligence is not only a tool for automation, but also allows for the cognitive enhancement of the analytical abilities of financial bodies, the transition from retrospective control to resource management focused on real results.

AUTHORS

Н.Примова

TOSHKENT DAVLAT IQTISODIYOT UNIVERSITETI

Tags

# artificial intelligence# machine learning# natural language processing# public finance# result-oriented budgeting# forecast analysis# budget efficiency

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Article Identifiers

ROI:

https://eroi.uz/11.142/A026-013042

DOI:

Not Available

References

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