Registration Number
0226U004050,
(0125U003619)
, R & D reports
Title
Digitalization of financial, credit and accounting activities in Ukraine.
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Диджиталізація фінансово-кредитної та облікової діяльності України.
Head
Oleksii Y. Mints, Доктор економічних наук
Registration Date
24-06-2026
Organization
State Higher Educational Institution "Azov State Technical University"
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Clarification of certain areas of digitalization of financial, credit and accounting activities in Ukraine.
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The object of the research is the financial and credit sphere and accounting activities of Ukraine under the conditions of digital transformation, wartime challenges, European integration changes, and the needs of post-war economic recovery.
The aim of the work is to provide a comprehensive analysis of the processes, challenges, opportunities, and prospects of digitalization in the financial, credit, and accounting activities of Ukraine, as well as to determine its impact on economic security, management transparency, the sustainability of public finances, and the quality of financial information.
The research applies a set of general scientific and special methods, including system analysis to study the interconnections between the elements of the financial, credit, and accounting sphere; statistical and comparative analysis to assess financial, banking, budgetary, and accounting indicators; time series analysis and modelling methods to forecast product sales; analysis and synthesis to summarize the results; economic interpretation, as well as analysis of regulatory sources and scientific publications to formulate conclusions.
The research paper summarizes the key areas of digitalization in the financial, credit, and accounting activities of Ukraine. The use of SMA, CSD, SARIMA, and SARIMAX models for forecasting sales of metal products in local markets is examined. It is established that taking seasonality and exogenous factors into account increases forecasting accuracy and may be used to strengthen the economic security of enterprises.
The study considers methods of proactive fraud prevention in digital payment systems. An approach to detecting phishing website clones is proposed, based on the analysis of domain variations, visual similarity, certificates, content, behavioral indicators, and external threat intelligence data.
Product Description
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Mints Oleksii Yu.
Oskoma Olena V.
Bessonova Svitlana I.
Остапенко Тетяна Миколаївна
Olena V. Khadzhynova
Kubetska Olha M.
Tymoshenko Maryna V.
Mavrina Maryna I.
Sidelov Pavlo A.
Oleksandr V. Shchepka
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2026-06-24
