ENTROPY-INFORMATIONAL APPROACH TO ANALYSIS OF SELF-OGRANIZATION OF BANKING SYSTEM

Natalia Tkachuk

Abstract


The evolving economy today is non-stationary in the nature of its character of behavior which becomes the reason of emergence of imbalances and instability of the market environment that cause the emergence of nonlinear processes in functioning of the banking system which may carry a threat to its development. Super fast tempos of change in the globalized world generate flows of institutional and innovative disturbances that test banks and banking systems for viability and encourage them to study the peculiarities of their behavior in terms of non-linearity and non-equilibrium. Knowledge and interpretation of synergetic properties of the banking system today have not only theoretical but also practical significance for development and implementation of the concept of self-organization of banks.
The theoretical questions of mutual influence and interconnection of entropy and information on the processes of self-organization in the banking system are considered. The functioning of the banking system in an unstable environment with chaotic and orderly behavioral stages is characterized by a nonlinear dynamics of entropy, as well as a significant dependence on the influence of management information that enters the system. Saturation of the banking system with this information makes it possible to force out chaos from it, it increases its orderliness and effect of functioning.
From the point of view of entropy and informational approach, the nature and conditions of self-organization in the banking system are disclosed. It was established, that fundamental condition for self-organization in the banking system is to transfer the system to a non-equilibrium state when it becomes quite sensitive to external disturbances. It is noted, that entropy represents a measure of disorder of the system, and its growth increases chaos and can lead to devastating consequences in the functioning of the system. The processes of self-organization in the banking system will only be possible if its order is growing.

Keywords


banking system; self-organization; synergetics; entropy; information; non-equilibrium

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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 Publ, 320.

Volkova, V. N., Denisov, A. A. (2014). Teoriya sistem i sistemnyiy analiz. Moscow: Yurayt Publ, 616.

Volkovoy, V. N., Emelyanova, A. A. (Eds.) (2006). Teoriya sistem i sistemnyiy analiz v upravlenii organizatsiyam. Moscow: Finansyi i statistika, 848.

Yakimtsov, V. V. (2015) Osnovnі printsipi teorіi samoorganіzatsіi (sinregetiki). Ekonomіka і fіnansi, 12, 42–50.

Haken, G. (2015). Sinergetika. Principy i osnovy. Perspektivy i prilozheniia. Chast' 2. Perspektivy i prilozheniia. Ierarhii neustoichivostei v samoorganizuiushhihsia sistemah i ustroistvah. Moscow: Lenard, 432.

Karno, S., Tomson, U. (lord Kelvin), Klauzius, R., Boltsman, L., Smoluhovskiy, M.; Timiryazev, A. K. (Ed.) (2007). Vtoroe nachalo termodinamiki. Moscow: LKI Publ, 312.

Vedenyapin, V. V., Adzhiyev, S. Z. (2014). Entropiya po Boltsmanu i Puankare. Uspekhi matematicheskikh nauk, 69 (6 (420)), 45–80. doi: http://doi.org/10.4213/rm9635

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.

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

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

Wiener, N. (1989) The Human Use of Human Beings: Cybernetics and Society. Free Association Books, 208.

Trapeznikov, V. A. (1983). Upravlenie i nauchno-tehnicheskiy progress. Moscow: Nauka Publ, 224.

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

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. 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. Nelineynyy mir, 8, 626–638.

Tsvetkov, V. Ya. (2017). Emerdzhentizm. Mezhdunarodnyy zhurnal prikladnykh i fundamentalnykh issledovaniy, 2, 137–138.

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/10.21303/2504-5571.2019.00919

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