Constructing and investigating a model of the energy entropy dynamics of organizations

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.206254

Keywords:

information entropy, free energy, efficiency of energy turnover, organization structure, formation of neg-entropy

Abstract

Energy entropy is the "highest" indicator of the state of an organization, developing the ideas of efficiency and value. The integrity of energy entropy implies taking into consideration the level of order in an organization (information entropy) along with the ability to "release" effectively the energy for useful work. Versatility is ensured by the independence on a kind of activity of an organization. The formalization of energy entropy of organizations was proposed. According to the proposed approach, energy entropy is determined by an increase in total energy and its comparison with the "ideal" option; the level of free energy and information entropy that reflects the ability of the organization’s structure to ensure certain results. Incoming and outgoing (free) energy are considered as the main parameters of the organization’s state. Their combination determines the growth of energy, a set of possible combinations – information entropy. The scheme of changes in time of the main "energy parameters" of an organization (total energy, free energy, incoming energy) was identified.

Two main variants of energy increase dynamics – uniform growth and growth with acceleration (slowdown) were represented. Experimental studies, which involved considering the most possible variants of dynamics of influencing parameters, were carried out. The effect of different combinations of their dynamics (simultaneous growth/decrease, growth/decrease at different rates) on the dynamics of energy entropy was analyzed. It was established that an increase in a share of free energy does not provide an outflow of energy entropy without reducing a degree of uncertainty of the results expressed in a decrease in information entropy. Conclusions about the necessary dynamics of influencing parameters to ensure the vital activity of an organization according to the energy entropy concept were made

Author Biographies

Alla Bondar, Odessa National Maritime University Mechnikova str., 34, Odessa, Ukraine, 65029

PhD, Associate Professor

Department of Logistic Systems and Projects Management

Svitlana Onyshсhenko, Odessa National Maritime University Mechnikova str., 34, Odessa, Ukraine, 65029

Doctor of Economic Sciences, Professor, Director of Educational and Scientific Institute

Educational and Scientific Institute of Marine Business

 

Dmitro Vishnevskyi, Odessa National Maritime University Mechnikova str., 34, Odessa, Ukraine, 65029

PhD

Department of Fleet Operating and Shipping Technologies

Olga Vishnevska, Odessa National Maritime University Mechnikova str., 34, Odessa, Ukraine, 65029

PhD

Department of Fleet Operating and Shipping Technologies

Svitlana Glovatska, Odessa National Maritime University Mechnikova str., 34, Odessa, Ukraine, 65029

PhD

Department of Logistic Systems and Projects Management

Andrii Zelenskyi, Agrarian and Engineering University in Podilia Shevchenka str., 13, Kamianets-Podilskyi, Ukraine, 32316

PhD, Assistant

Department of Finance, Banking, Insurance and Electronic Payment Systems

References

  1. Bondar, A., Bushuyev, S., Onyshchenko, S., Hiroshi, H. (2020). Entropy Paradigm of Project-Oriented Organizations Management. Proceedings of the 1st International Workshop IT Project Management (ITPM 2020). Lviv. Available at: http://ceur-ws.org/Vol-2565/paper20.pdf
  2. Alekseev, G. N. (1983). Energoentropika. Moscow: Znanie, 268.
  3. Prangishvili, I. V. (2003). Entropiynye i drugie sistemnye zakonomernosti: Voprosy upravleniya slozhnymi sistemami. Moscow: Nauka, 428.
  4. Ceptureanu, E. G., Ceptureanu, S. I., Popescu, D. (2017). Relationship between Entropy, Corporate Entrepreneurship and Organizational Capabilities in Romanian Medium Sized Enterprises. Entropy, 19 (8), 412. doi: https://doi.org/10.3390/e19080412
  5. Jung, J.-Y., Chin, C.-H., Cardoso, J. (2011). An entropy-based uncertainty measure of process models. Information Processing Letters, 111 (3), 135–141. doi: https://doi.org/10.1016/j.ipl.2010.10.022
  6. Wen, Z.-Q., Lu, Y.-L., Zeng, Z.-G., Zhu, W.-Q., Ai, J.-H. (2015). Optimizing Template for Lookup-Table Inverse Halftoning using Elitist Genetic Algorithm. IEEE Signal Processing Letters, 22 (1), 71–75. doi: https://doi.org/10.1109/lsp.2014.2346929
  7. Ceptureanu, S. I., Ceptureanu, E. G., Marin, I. (2017). Assessing the Role of Strategic Choice on Organizational Performance by Jacquemin–Berry Entropy Index. Entropy, 19 (9), 448. doi: https://doi.org/10.3390/e19090448
  8. Ma, J., Sui, X., Li, L. (2016). Measurement on the Complexity Entropy of Dynamic Game Models for Innovative Enterprises under Two Kinds of Government Subsidies. Entropy, 18 (12), 424. doi: https://doi.org/10.3390/e18120424
  9. Cabral, P., Augusto, G., Tewolde, M., Araya, Y. (2013). Entropy in Urban Systems. Entropy, 15 (12), 5223–5236. doi: https://doi.org/10.3390/e15125223
  10. Wilson, A. (2010). Entropy in Urban and Regional Modelling: Retrospect and Prospect. Geographical Analysis, 42 (4), 364–394. doi: https://doi.org/10.1111/j.1538-4632.2010.00799.x
  11. Chatterjee, A. (2015). Thermodynamics of action and organization in a system. Complexity, 21 (S1), 307–317. doi: https://doi.org/10.1002/cplx.21744
  12. Coldwell, D. (2016). Entropic Citizenship Behavior and Sustainability in Urban Organizations: Towards a Theoretical Model. Entropy, 18 (12), 453. doi: https://doi.org/10.3390/e18120453
  13. Stepanić, J., Sabol, G., Stjepan Žebec, M. (2005). Describing social systems using social free energy and social entropy. Kybernetes, 34 (6), 857–868. doi: https://doi.org/10.1108/03684920510595535
  14. Melnyk, L. G. (2013). Analysis of energy-entropy preconditions for progressive development of economic systems. Aktualni problemy ekonomiky, 10, 15–22.
  15. Likhonosova, G. (2018). Entropy balancing: a tool for eliminating social-economic exclusion on enterprise. Chasopys ekonomichnykh reform, 2, 43–51.
  16. Averin, G. V., Zviagintseva, A. V. (2016). The statistical and information entropy relationship when describing the complex systems state. Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Matematika. Fizika, 44 (20), 105–116.
  17. Bondar, A. (2020). Basic provisions of energy-entropy organization theory. Management of Development of Complex Systems, 41, 6–14. doi: https://doi.org/10.32347/2412-9933.2020.41.6-14
  18. Bondar, A. V. (2019). Human resources value concept for project-oriented organization. Collection of Scientific Publications NUS, 1, 135–141. doi: https://doi.org/10.15589/znp2019.1(475).19
  19. Lapkina, I., Prykhno, Y., Lapkin, O. (2020). Content optimization of the development of multi­project of a shipping company. Eastern-European Journal of Enterprise Technologies, 2 (3 (104)), 50–57. doi: https://doi.org/10.15587/1729-4061.2020.199477
  20. Onishchenko, S. P., Arabadzhi, E. S. (2011). Struktura, tsel', produkt i tsennost' programm razvitiya predpriyatiy. Visnyk Odeskoho natsionalnoho morskoho universytetu, 33, 175–186.
  21. Onyshсhenko, S., Leontieva, A. (2018). Modeling of the optimal composition of the enterprise technical development program. Technology Audit and Production Reserves, 5 (2 (43)), 36–41. doi: https://doi.org/10.15587/2312-8372.2018.146463
  22. Lucia, U. (2012). Maximum or minimum entropy generation for open systems? Physica A: Statistical Mechanics and Its Applications, 391 (12), 3392–3398. doi: https://doi.org/10.1016/j.physa.2012.01.055
  23. Longo, G., Miquel, P.-A., Sonnenschein, C., Soto, A. M. (2012). Is information a proper observable for biological organization? Progress in Biophysics and Molecular Biology, 109 (3), 108–114. doi: https://doi.org/10.1016/j.pbiomolbio.2012.06.004
  24. Onyshсhenko, S., Bondar, A., Andrievska, V., Sudnyk, N., Lohinov, O. (2019). Constructing and exploring the model to form the road map of enterprise development. Eastern-European Journal of Enterprise Technologies, 5 (3 (101)), 33–42. doi: https://doi.org/10.15587/1729-4061.2019.179185
  25. Bondar, A., Onyshchenko, S. (2019). Optimization of project time parameters. Management of Development of Complex Systems, 39, 11–18. doi: http://doi.org/10.6084/M9.FIGSHARE.11340629.V1

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Published

2020-06-30

How to Cite

Bondar, A., Onyshсhenko S., Vishnevskyi, D., Vishnevska, O., Glovatska, S., & Zelenskyi, A. (2020). Constructing and investigating a model of the energy entropy dynamics of organizations. Eastern-European Journal of Enterprise Technologies, 3(3 (105), 50–56. https://doi.org/10.15587/1729-4061.2020.206254

Issue

Vol. 3 No. 3 (105) (2020): Control processes

Section

Control processes

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Copyright (c) 2020 Alla Bondar, Svitlana Onyshсhenko, Dmitro Vishnevskyi, Olga Vishnevska, Svitlana Glovatska

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