INFORMATION TECHNOLOGY AS A TOOL FOR IMPLEMENTING ECONOMIC AND MATHEMATICAL MODELS

DOI: 10.31673/2415-8089.2025.043808

Authors

  • Л. О. Терещенко, (Tereshchenko L. O.) Ukrainian Institute of Arts and Sciences image/svg+xml

DOI:

https://doi.org/10.31673/2415-8089.2025.043808

Abstract

The article examines the
role of modern information technologies as an effective tool for the implementation, optimization,
and adaptation of economic-mathematical models in contemporary economic systems. Particular
attention is paid to the transformation of analytical and decision-making processes under the
influence of digital technologies such as cloud computing, big data analytics, artificial intelligence,
and advanced simulation tools. The study emphasizes that economic-mathematical modeling
increasingly relies on high-performance computing environments, integrated information systems,
and digital platforms that ensure operational accuracy, scalability, and rapid processing of large
datasets.
The research reveals that the integration of information technologies significantly expands the
functional capabilities of economic-mathematical models by enhancing the precision of forecasting,
enabling real-time monitoring of economic processes, and supporting adaptive management under
uncertainty. The article also outlines methodological approaches to constructing and validating
models using software packages, specialized analytical platforms, and algorithmic modeling
environments. The advantages of digital tools for solving optimization, simulation, econometric, and
multi-criteria decision-making problems are systematically analyzed.
In addition, the study identifies key challenges associated with the technological implementation of
economic-mathematical models, including issues of data quality, system interoperability,
cybersecurity risks, and the need for highly qualified personnel. A comparative analysis of traditional
and digitally enhanced modeling approaches demonstrates that the use of IT tools substantially
improves computational efficiency, reduces the time needed for analytical procedures, and facilitates
the transition from descriptive to predictive and prescriptive analytics.
The findings confirm that information technologies not only serve as auxiliary instruments but act as
strategic enablers of innovative modeling solutions within economic research and practical
management. The paper substantiates that the synergistic interaction between economicmathematical modeling and digital technologies forms a methodological foundation for evidencebased decision-making, contributing to the stability, efficiency, and competitiveness of enterprises in
conditions of market volatility and digital transformation.
Keywords: information technologies, economic and mathematical models, digital tools, optimization,
forecasting, modelling.

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Published

2026-01-06

Issue

Section

Articles