Entropy conditions of self-organization of the banking system

Natalia Tkachuk, Yana Buchkovskaya

Abstract


The conditions for market transformations are accompanied by a growing influence on the banks' activity by the flow of destructive disturbances that can cause chaotic behavior of the economic system as a whole and the banking system, in particular. The purpose of the study is to identify the preface of self-organization of the banking system, taking into account the information factor and the level of the entropy of the system. The theoretical questions of mutual influence and interconnection of entropy and information are considered in the paper, as well as their influence on the processes of self-organization in the banking system. From the point of view of the entropy approach the nature and conditions of self-organization in the banking system are disclosed. For the efficient functioning of the modern banking system, the search and analysis of the dependence between the entropy indicators, accumulated information and the synergistic effect, taking into account dualism of chaos and order, are of considerable interest. On the basis of the complex of these indicators, the results of the conducted research, which reveal the dynamic properties of self-organization of the banking system, are presented.


Keywords


banking system; synergetics; self-organization; level of orderliness; entropy; chaos.

Full Text:

PDF

References


Rudenko, A. P. (2013). Samoorganizatsiya i sinergetika. Slozhnyye sistemy, 2, 3–39.

Haken, G. (2014). Informatsiya i samoorganizatsiya. Makroskopicheskiy podhod k slozhnyim sistemam. Moscow: Lenard, 320.

Chernavskiy, D. S. (2001). Sinergetika i informatsiya: Dinamicheskaya teoriya informatsii [Synergetics and information: the Dynamic information theory]. Moscow: Nauka, 244.

Prigozhin, I., Stengers, I. (2014). Poryadok iz haosa. Novyiy dialog cheloveka s prirodoy. Moscow: Editorial UKSS, 296.

Volkovoy, V. N., Emelyanova, A. A. (Eds.) (2006). Teoriya sistem i sistemnyiy analiz v upravlenii organizatsiyami [Teory of the systems and analysis of the systems in a management by organizations]. Moscow: Finansyi i statistika, 848.

Vedenyapin, V. V., Adzhiyev, S. Z. (2014). Entropiya po Boltsmanu i Puankare. Uspekhi matematicheskikh nauk, 69 (6 (420)), 45–80.

Shterenberg, M. I. (2013). Entropiya – smysl i izmereniye. Slozhnyye sistemy, 2 (7), 82–91.

Shterenberg, M. I. (2002). The place of synergetics in science. Scientific and technical information processing, 29 (4), 19–22.

Ahmedatt, T., Azroul, E., Hjiaj, H., Touzani, A. (2018). Existence of entropy solutions for some nonlinear elliptic problems involving variable exponent and measure data. Boletim Da Sociedade Paranaense de Matemática, 36 (2), 33–55. doi: http://doi.org/10.5269/bspm.v36i2.30581

Chuprov, S. V. (2017). Entropy-Information Analysis of Self-Organization and of the Effect of Functioning of an Industrial Economic System. Bulletin of Baikal State University, 27 (3). 443–449. doi: http://doi.org/10.17150/2500-2759.2017.27(3).443-449

Akimchenko, A. A., Aletdinova, A. A., Bukhval’d, E. M., Babkin, A. V., Chuprov, S. V. et. al. (2017) Ekonomika i menedzhment v usloviyakh nelineinoi dinamiki [Economy and management in the conditions of nonlinear dynamics]. Saint Petersburg: Peter the Great Saint Petersburg Polytechnic University Publ., 773.

Denisenko, V. I., Reshetov, I. V. (2009). Model i printsipy primeneniya mekhanizmov samoorganizatsii v sotsialno-ekonomicheskikh sistemakh [A model and principles of application of mechanisms of self-organization are in the socio-economic systems]. Nelineynyy mir, 8, 626–638.

Tsvetkov, V. Yа. (2013). Information interaction. European researcher. Series A, 62 (11-1), 2573–2577.

Tsvetkov, V. Yа., Lobanov, A. A. (2014). Big Data as Information Barrier. European researcher, Series A, 78 (7-1), 1237–1242.




DOI: http://dx.doi.org/10.21303/2613-5647.2019.00930

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Natalia Tkachuk, Yana Buchkovskaya

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN 2613-5647 (Online), ISSN 2613-5639 (Print)