Features of enterprise risk management associated with operational risks

Keywords: simulation, operational risk, optimization, decision making, legal entity.


Purpose of the work: within the framework of the concept of corporate risk management Enterprise Risk Management (ERM) to study the basic types of risks, assess their role in the modern economy, analyze external and internal operational risks and propose approaches to their quantitative assessment. As a research methodology, it is proposed to use the developed tools of mathematical and numerical modeling, which allows one to obtain, in the key of interest to the decision maker, qualitative and quantitative characteristics of the dynamics of business processes. The operational and economic risks (as very often occurring in the activities of subjects of economic relations) and directly affecting their economic and information security are considered in sufficient detail. It is noted that the risks associated with disruption of business continuity (which enterprises face in their activities) can be included in various classification systems of risks, grouped according to various criteria. The need to identify the mismatch between the design and actual metrics of the organizational structure (establishment of its structure and operating schemes based on the needs of the enterprise/organization) is indicated for solving the optimization problem.


Download data is not yet available.

Author Biographies

Andrey S. Boyar-Sozonovitch, Moscow Aviation Institute (National Research University), Moscow, Russia.

PhD in Economic Sciences, Associate Professor, Moscow Aviation Institute (National Research University), Moscow, Russia.

Alexey Yu. Buikin, "Centre of Information Technologies and Systems for Executive Power Authorities", Moscow, Russia.

Deputy Head of the Legal Department, Federal State Autonomous Research Institution "Centre of Information Technologies and Systems for Executive Power Authorities", Moscow, Russia.

Kirill V. Pitelinskiy, Moscow Polytechnic University, Moscow, Russia.

PhD in Technical Sciences, Associate Professor, Master of Business Administration, Moscow Polytechnic University, Moscow, Russia.


Alibekov, I. Y., Pitelinskiy, K. V., and Boyar-Sozonovitch, A. S. (2020). Assessment and quality management of dynamic circuit flows as a condition of enterprise safety. Journal of Physics: Conference Series, 1515(3), 032038.

Bogdanova, E. A., and Sherstyankina, A. A. (2017). Simulation as a decision-making tool. NovaUm. Ru, 6, 25-28. Retrieved from http://simulation.su/uploads/files/default/2017-bogdanova-sherstyankina.pdf

Civil Code of the Russian Federation No. 51-FZ. Collection of legislation of the Russian Federation, Moscow, Russia, November 30, 1994. Retrieved from http://www.consultant.ru/document/cons_doc_LAW_5142

Gerner-Beuerle, C., Paech, P., & Schuster, E. P. (2013). Study on directors’ duties and liability. London: European Commission. Retrieved from https://personal.lse.ac.uk/schustee/2013-study-reports_en.pdf

Krichevsky, M. L. (2012). Financial Risks: Textbook. Moscow: Knorus. Retrieved from https://docplayer.com/79113912-M-l-krichevskiy-finansovye-riski.html

Misakov, V., Tsurova, L., Yandarbayeva, L., Tkhamadokova, I., & Gapurovna, G. (2019). Certification of a regional economic complex as a highly effective tool for analysis and diagnostics of its development. Amazonia Investiga, 8(20), 451-458. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/174

Pitelinskiy, K. V. (2007a). On the prospects of using fractal modeling for the study of technical and social systems. Interdisciplinary Information Service, 4(141), 12-26.

Pitelinskiy, K. V. (2007b). Organization as a collection of dynamic flow circuits. In Proceedings of the 7th International Conference “Information Society. Intelligent information processing. Information Technology". All-Russian Institute for Scientific and Technical Information, Moscow. Retrieved from http://www.viniti.ru/docs/conf_materials/nti-2007/nti-2007.pdf

Pitelinskiy, K. V. (2018). Modeling dynamic contour flows as a method of business continuity management. Methods of quality management, 11, 16-21.

Resolution No. А19-2794/2012. Federal Arbitration Court of the East Siberian District, Irkutsk, Russia, January 21, 2013. Retrieved from http://sudrf.kodeks.ru/rospravo/document/680259478

Resolution No. F09-4238/07-S4. Federal Arbitration Court of the Ural District, Ekaterinburg, Russia, June 6, 2007. Retrieved from https://www.garant.ru/products/ipo/prime/doc/35001554

Resolution No. A76-22610/2010. Federal Arbitration Court of the Ural District, Ekaterinburg, Russia, July 21, 2011. Retrieved from http://www.consultant.ru/cons/cgi/online.cgi?req=doc&base=AUR&n=118154#07198381757484167

Resolution of July 30, 2013, No. 62. Plenum of the Supreme Arbitration Court of the Russian Federation, Moscow, Russia, July 30, 2013. Retrieved from https://sudact.ru/law/postanovlenie-plenuma-vas-rf-ot-30072013-n_5

Risk24.ru (2021). Management of risks. Available at: http://www.risk24.ru

Rizun, N., and Taranenko, Y. (2014). Simulation models of human decision-making processes. Management Dynamics in the Knowledge Economy, 2(2), 241-264.

Shendrikova, O. O. (2013). Simulation modeling in the process of supporting and making management decisions. Production organizer, 4, 39 44.

Sokolova, O. G., and Karkh, D. A. (2016). Logistic hierarchy as the basis of enterprise system management. Bulletin of the Ural State Economic University, 4(66), 99-107. Available at: https://cyberleninka.ru/article/n/logisticheskaya-ierarhiya-kak-osnovanie-sistemnogo-upravleniya-predpriyatiem

State Standart (2015). State Standart GOST R ISO 22301—2014. Business continuity management systems. General requirements. Moscow: Standartinform. Retrieved from https://docs.cntd.ru/document/1200113802

Vaganova, O., Livshits, Y., Aleshugina, E., Smirnova, Z., & Kutepova, L. (2019). Experience in developing electronic glossary in a higher education institution. Amazonia Investiga, 8(22), 247-253. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/421

Vlasova, A. S., and Udalova, N. M. (2020). Ordinary business risk in the context of the liability of the head of a legal entity for damages caused to him. Law, 3, 78-89.

Vyatkin, V. N., Gamza, V. A., and Maevsky, F. V. (2016). Risk management. Moscow: Urait. Retrieved from https://elibrary.ru/item.asp?id=27907075

Walrand, J. (1993). Introduction to the theory of queuing networks. Moscow: World.

Weforum.org (2020). The Global Risks Report 2020. Available at: https://www.weforum.org/reports/the-global-risks-report-2020
How to Cite
Boyar-Sozonovitch, A. S., Buikin, A. Y., & Pitelinskiy, K. V. (2021). Features of enterprise risk management associated with operational risks. Amazonia Investiga, 10(46), 9-19. https://doi.org/10.34069/AI/2021.46.10.1