REGISTRATION CERTIFICATE

KV #19905-9705 PR dated 02.04.2013.

 FOUNDERS

RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE)

According to the decision No. 802 of the National Council of Television and Radio Broadcasting of Ukraine dated 14.03.2024, is registered as a subject in the field of print media.
ID R30-03156

 PUBLISHER

Liburkina L. M.

 SITE SECTIONS

Main page

Editorial staff

Editorial policy

Annotated catalogue (2011)

Annotated catalogue (2012)

Annotated catalogue (2013)

Annotated catalogue (2014)

Annotated catalogue (2015)

Annotated catalogue (2016)

Annotated catalogue (2017)

Annotated catalogue (2018)

Annotated catalogue (2019)

Annotated catalogue (2020)

Annotated catalogue (2021)

Annotated catalogue (2022)

Annotated catalogue (2023)

Annotated catalogue (2024)

Annotated catalogue (2025)

Thematic sections of the journal

Proceedings of scientific conferences

Entropy as a Factor of Economic Environment Instability and Its Impact on the Resilience of Enterprises
Bobryntsev P. V.

Bobryntsev, Pavlo V. (2025) “Entropy as a Factor of Economic Environment Instability and Its Impact on the Resilience of Enterprises.” Business Inform 12:55–55.
https://doi.org/10.32983/2222-4459-2025-12-55-55

Section: Management and Marketing

UDC 330.131.7:658.5:005.52

Abstract:
The article focuses on systematizing the theoretical foundations for studying entropy as a determining factor of economic environment instability and its impact on the resilience of industrial enterprises as socioeconomic systems in the context of their strategic development. Research into entropy as a factor for assessing economic environment instability gains practical significance not only in theoretical understanding but also in its application to enhance adaptability, competitiveness, stability, and resilience of industrial enterprises. This lays the groundwork for forming a new paradigm of economic thinking, where complexity and uncertainty are not obstacles, but constructive variables in the process of managing the development of industrial enterprises. A comprehensive theoretical substantiation has been carried out regarding the influence of entropy characteristics on the adaptive properties of enterprises, their capacity for efficient strategic planning, managerial decision-making, and maintenance of internal process stability. Special attention has been given to formalizing the impact of entropy on key enterprise development parameters, particularly on the efficiency of information flows, controllability, organizational cohesion, and flexible responsiveness. It has been demonstrated that the assessment of the impact of increasing entropy on enterprise resilience shows that, under conditions of heightened external uncertainty, the level of resilience decreases; however, efficient managerial dynamics, expressed through adaptive strategies and the managerial index, can offset the negative effect, slowing the degradation rate of managerial capability. For building an efficient management system, it is strategically essential to develop an analytical model that reflects the relationship between entropy indicators and the economic performance of an enterprise, which determines the practical directions for applying entropy-based approaches in systems of strategic monitoring, risk forecasting, and enhancing the economic resilience of industrial structures under conditions of instability and dynamic economic environments.

Keywords: entropy, resilience, instability, economic environment, industrial enterprise, strategic management.

Formulae: 2. Bibl.: 14.

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

Asenjo D., Paillusson F. & Frenkel D. (2014). Numerical Calculation of Granular Entropy. Physical Review Letters, 9(112). https://doi.org/10.1103/physrevlett.112.098002
Bhavsar R., Helian N. & Sun Y. (2018). Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. Procedia Computer Science, 145, 97–104. https://doi.org/10.1016/j.procs.2018.11.016
Chen C., Sun S. & Cao Z. (2019). A comprehensive comparison and overview of R packages for calculating sample entropy. Biology Methods and Protocols, 1(4). https://doi.org/10.1093/biomethods/bpz016
Davies S. R., Macfarlane R. & Buchanan W. J. (2022). Comparison of Entropy Calculation Methods for Ransomware Encrypted File Identification. Entropy, 10(24). https://doi.org/10.3390/e24101503
Dippo O. F. & Vecchio K. S. (2021). A universal configurational entropy metric for high-entropy materials. Scripta Materialia, 201. https://doi.org/10.1016/j.scriptamat.2021.113974
Ekberg V. & Ryde U. (2021). On the Use of Interaction Entropy and Related Methods to Estimate Binding Entropies. Journal of Chemical Theory and Computation, 8(17), 5379–5391. https://doi.org/10.1021/acs.jctc.1c00374
Heidari H., Velichko A., Murugappan M. & Chowdhury M. E. H. (2023). Novel techniques for improving NNetEn entropy calculation for short and noisy time series. Nonlinear Dynamics, 10(111), 9305–9326. https://doi.org/10.1007/s11071-023-08298-w
Prokhorova V., Budanov M. & Budanov P. (2024). Devising an integrated methodology for energy safety assessment at an industrial power-generating enterprise. Eastern-European Journal of Enterprise Technologies, 13(4), 118–131. https://doi.org/10.15587/1729-4061.2024.308056
Prokhorova V., Mushnykova S. & Kovalenko D. (2023). Convergence of educational technologies as an imperative for the development of innovation cooperation in the context of circular transformation. Eastern-European Journal of Enterprise Technologies, 13(4), 26–35. https://doi.org/10.15587/1729-4061.2023.286183
Prokhorova V. & Budanov M. (2024). Entropy as a Factor of Influence on Energy Security Management of Enterprises. Technology Audit and Production Reserves, 5/4, 6–12. https://doi.org/10.15587/2706-5448.2024.314397
Prokhorova V. V., Mushnykova S. A. & Yukhman Ya. V. (2024). Entropiia yak parametrychne obmezhennia umov rozvytku sotsialno-ekonomichnykh system [Entropy as a Parametric Constraint of the Conditions of Socio-Economic Systems Development]. Transformatsiia ekonomichnoho seredovyshcha v umovakh entropii: kolektyvna monohrafiia [Transformation of the Economic Environment under Entropy: Collective Monograph] (pp. 92–98). Kharkiv: Vydavnytstvo Ivanchenka I. S.
Sherwin W. B. & Prat i Fornells N. (2019). The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef. Entropy, 8(21). https://doi.org/10.3390/e21080794
Velichko A. & Heidari H. (2021). A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks. Entropy, 11(23). https://doi.org/10.3390/e23111432
Vydavnytstvo Ivanchenka I. S (2024). Transformatsiia ekonomichnoho seredovyshcha v umovakh entropii [Transformation of the Economic Environment under Entropy]. Kharkiv: Vydavnytstvo Ivanchenka I. S.

 FOR AUTHORS

License Contract

Conditions of Publication

Article Requirements

Regulations on Peer-Reviewing

Publication Contract

Current Issue

Frequently asked questions

 INFORMATION

The Plan of Scientific Conferences

 OUR PARTNERS

Journal «The Problems of Economy»