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Artificial intelligence, ERP and firm performance: econometric evidence from Ukrainian industry

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Category: Content №3 2026

Last Updated on 26 June 2026

Published on 30 November -0001

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Authors:

I. M. Trunina, orcid.org/0000-0002-7416-1830, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail This email address is being protected from spambots. You need JavaScript enabled to view it.

O. V. Moroz, orcid.org/0000-0003-4383-1544, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail This email address is being protected from spambots. You need JavaScript enabled to view it.

M. Yu. Bilyk*, orcid.org/0000-0002-9660-3708, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2026, (3): 254 - 261

https://doi.org/10.33271/nvngu/2026-3/254

Abstract:

Purpose. To quantitatively determine the impact of digital technology implementation on the economic performance of industrial enterprises and to justify digital development priorities in the context of structural and military challenges.

Methodology. The study is based on a quantitative approach using correlation and regression analysis. The model parameters were estimated using the least squares method with subsequent verification of the statistical significance of the coefficients using Student’s t-test. Additionally, coefficients of determination and elasticity were calculated to determine the intensity of the impact of factor variables. The information base consists of official industry data on the use of digital solutions and profitability indicators for 2021–2025.

Findings. It has been determined that the impact of intelligent technologies is stronger compared to basic information systems. The growing role of smart solutions in ensuring the resilience of enterprises in the context of military operations and macroeconomic shocks has been confirmed. A significant gap between national and European digital maturity indicators has been identified.

Originality. It consists in developing an approach to measuring the effectiveness of digital transformation based on comparing the marginal returns of different classes of technologies and proving the predominant role of artificial intelligence-based solutions in shaping competitive advantages in countries undergoing catch-up modernisation.

Practical value. The conclusions obtained can be used by enterprise management to prioritise investments in digital solutions, and by government authorities in forming policies to stimulate innovation and integration into the European digital space.

Keywords: digital transformation, industrial enterprises, artificial intelligence, ERP systems, competitiveness

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