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Liburkina L. M.

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Determining the Dependence Between the Entropy of the Economic Environment and Enterprise Resilience as a Basis for Formulating Management Strategies
Bobryntsev P. V.

Bobryntsev, Pavlo V. (2025) “Determining the Dependence Between the Entropy of the Economic Environment and Enterprise Resilience as a Basis for Formulating Management Strategies.” Business Inform 11:263–271.
https://doi.org/10.32983/2222-4459-2025-11-263-271

Section: Economic and Mathematical Modeling

Article is written in Ukrainian
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UDC 005.591:658.1:339.137

Abstract:
In the current conditions of high economic turbulence, enterprises face uncertainty, disorder, and instability in the economic environment, which directly affects their resilience. The aim of this article is to develop a comprehensive methodology for adjusting management interventions based on determining the dependence between the entropy of the economic environment and enterprise resilience. This methodology is grounded in assessing and forecasting its level, integrates quantitative measurement of entropy factors, scenario modeling, and management interventions to enhance the adaptability and strategic stability of enterprises amid external instability. The relevance of this work stems from the need for a systematic approach to forecasting and managing enterprise resilience in response to macroeconomic, regulatory, and geopolitical changes. The research logic involves a step-by-step analysis that includes identifying key factors of economic instability, quantitatively measuring the level of entropy, developing environmental development scenarios, assessing the impact of managerial actions on resilience, and integrating results to formulate recommendations. For the quantitative assessment of entropy, it is advisable to use indicators such as GDP fluctuations, inflation rates, national currency volatility, the frequency and scale of regulatory changes, as well as geopolitical risks. The integrated indicator of economic environment entropy (IIEEE) is created based on a weighted sum of coefficients, allowing for a comprehensive assessment of external conditions’ instability. Scenario modeling involves analyzing managerial actions such as diversification of sales and supply markets, digitalization of business processes, insurance of financial and operational risks, and investment in innovative technologies. It has been determined that these actions can shift the «entropy ? resilience» curve upward, enhancing the adaptive resilience of the enterprise even amid high economic instability. A two-dimensional coordinate system is used for modeling, where the X-axis represents the level of entropy, the Y-axis represents the level of enterprise resilience, and functional dependencies are depicted as U- and S-shaped curves. The study results indicate that low entropy ensures the internal stability of the enterprise without significant adaptive interventions, a medium level of entropy activates adaptive mechanisms, and a high level without managerial actions leads to decreased resilience and increased risk of crisis events. Overall, the proposed methodology integrates quantitative entropy indicators, scenario modeling, and managerial influences, allowing for a comprehensive assessment of enterprise resilience. Such a systematic approach provides scientifically grounded recommendations for strategic planning and enhancing business competitiveness in a dynamic economic environment. The practical value of this work lies in developing a scientific toolkit to increase the resilience of enterprises under conditions of economic instability and to make efficient managerial decisions that ensure adaptability, competitiveness, and long-term business stability.

Keywords: entropy, economic environment, instability, enterprise resilience, scenario modeling, management strategies, economic instability, adaptability, integral entropy index, sustainability, comprehensive methodology, evaluation, forecasting.

Fig.: 3. Tabl.: 1. Formulae: 10. Bibl.: 12.

Bobryntsev Pavlo V. – Postgraduate Student, Department of Economics and Business Administration, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]

List of references in article

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