Algorithm for Identifying Risk Factors in an Industrial Enterprise
Olga Berezhnaya1, Elena Berezhnaya2, Natalia Solovyova3, Antonina Emelyanova4, Tatyana Martseva5

1Olga Berezhnaya*, North-Caucasian Federal University, Stavropol, Russia.
2Elena Berezhnaya, North-Caucasian Federal University, Stavropol, Russia.
3Natalia Solovyova, Nevinnomyssk State Institute of Humanities and Technology, Nevinnomyssk, Russia.
4Antonina Emelyanova, Nevinnomyssk Institute Economics, Management and Law, Nevinnomyssk, Russia.
5Tatyana Martseva, Krasnodar University of the Ministry of Internal Affairs of the Russian Federation (Novorossiysk Branch), Novorossiysk, Russia.
Manuscript received on October 01, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 1384-1386  | Volume-9 Issue-1, October 2019. | Retrieval Number: A1217109119/2019©BEIESP | DOI: 10.35940/ijeat.A1217.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This article presents the results of studies on the algorithmization of economic risks using an example of a specific industrial enterprise. The purpose of the study was to generalize the experience in new economic conditions for domestic enterprises and the theoretical justification of the modern approach to managing entrepreneurial risks and developing a risk management program for a particular enterprise.
Keywords: Industry, enterprise, risks, algorithm.