THE IMPACT OF ARTIFICIAL INTELLIGENCE AND MODERN DIGITAL TECHNOLOGIES ON THE CAPITALISATION OF ENTERPRISES: A REGRESSION ANALYSIS

Authors

  • O.M. Levchenko 1Vynnychenko Central Ukrainian State University, Ministry of Education and Science of Ukraine, Department of Management and Entrepreneurship, Shevchenko Str., 1, Kropyvnytskyi, 25006, Ukraine https://orcid.org/0000-0001-5452-7420
  • Y.O. Dovhenko 2Vynnychenko Central Ukrainian State University, Ministry of Education and Science of Ukraine, Department of Management and Entrepreneurship, Shevchenko Str., 1, Kropyvnytskyi, 25006, Ukraine https://orcid.org/0000-0002-3254-8746
  • D.V. Zamurenko 3A company of RBC Group, м. Kropyvnytskyi, 25006, Ukraine https://orcid.org/0009-0008-4011-4674

DOI:

https://doi.org/10.15330/apred.2.21.344-359

Keywords:

artificial intelligence, digital transformation, enterprise capitalisation, econometric modelling, S&P 500 index, regression analysis, digital maturity, innovation activity

Abstract

The article quantifies the impact of investments in artificial intelligence, digital maturity, level of automation, profitability and revenues on the market capitalisation of enterprises using the tools of regression analysis. On the basis of a sample of 44 innovatively active companies, an econometric model is built to identify the degree of determination of capitalisation by key technological and financial parameters. The modeling results show a high explanatory power of the model, which indicates a significant impact of the selected factors on the value of enterprises. Profit, AI investments, automation level, and revenue were identified as statistically significant predictors of capitalisation, while digital maturity (DIGMAT) did not show a significant effect.

To achieve this goal, the authors used the regression analysis method, in particular, they built a model that assesses the relationship between company capitalisation and digital indicators. The study used data from open sources, including financial statements of companies included in the S&P 500 index. The main findings of the analysis indicate that digitalisation and, in particular, investments in AI have a statistically significant positive impact on the capitalisation of enterprises. It was found that each additional billion dollars of investment in AI can increase the market value of a company by an average of $1-1.4 billion.

The study develops and tests an econometric model that quantifies the impact of certain technological factors on the market capitalisation of enterprises. In contrast to traditional approaches, where digital transformation is analysed mainly in the context of increasing labour productivity or operational efficiency, this paper focuses on the strategic aspect - the formation of the market value of a business. The findings allow us to expand the scientific and practical understanding of the mechanisms of capitalisation of enterprises in the digital era and identify critical points of influence of digital technologies on economic performance. The obtained results are of practical value for the strategic planning of innovative activities of enterprises in the context of digital transformation of the economy.

Author Biographies

O.M. Levchenko , 1Vynnychenko Central Ukrainian State University, Ministry of Education and Science of Ukraine, Department of Management and Entrepreneurship, Shevchenko Str., 1, Kropyvnytskyi, 25006, Ukraine

D. Sc. (Econ.), Professor

Y.O. Dovhenko , 2Vynnychenko Central Ukrainian State University, Ministry of Education and Science of Ukraine, Department of Management and Entrepreneurship, Shevchenko Str., 1, Kropyvnytskyi, 25006, Ukraine

PhD (Econ.), Associate Professor

D.V. Zamurenko , 3A company of RBC Group, м. Kropyvnytskyi, 25006, Ukraine

Executive Director

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Published

2025-06-16

How to Cite

Levchenko , O., Dovhenko , Y., & Zamurenko , D. (2025). THE IMPACT OF ARTIFICIAL INTELLIGENCE AND MODERN DIGITAL TECHNOLOGIES ON THE CAPITALISATION OF ENTERPRISES: A REGRESSION ANALYSIS. The Actual Problems of Regional Economy Development, 2(21), 344–359. https://doi.org/10.15330/apred.2.21.344-359

Issue

Section

Development of information and communication technologies