Implementation of management decision-making methods based on foresight in order to increase the sustainability of high-tech enterprises

The article analyzes the scientifi c methods of managerial decision-making at hightech enterprises. It is determined that the stability of production and the competitiveness of the enterprise in the domestic and foreign markets are determined by such a parameter as the stability of the functioning of the enterprise, which is considered as a predictable parameter characterizing the state of a high-tech enterprise. Increasing the stability of the enterprise can be achieved through the systematic analysis of special indicators that determine the integrated stability in the complex. When predicting the stability of the functioning of a high-tech enterprise, it is necessary to use various methods. Based on the analysis of existing methods of scientifi c prediction of indicators and characteristics of industrial enterprises for making managerial decisions and their features, forecasting methods are identifi ed, combined into the following groups: mathematical (statistical) forecasting methods; computational methods of multi-stage forecasting based on artifi cial neural networks, which are part of the digital twin software in an industrial company; expert forecasting methods involving the use of intuition, knowledge and expert assessments. The integral stability of the functioning of a high-tech enterprise is developed under the infl uence of a complex of factors of the macro environment and the internal environment of the enterprise. They are grouped depending on the environment of occurrence, the nature and direction of the impact, the object of the impact. It is revealed that increasing the stability of the functioning of high-tech enterprises can be ensured by a comprehensive system analysis of the main directions of assessing the stability of the functioning of the enterprise and their subsequent correction, if necessary. The directions of increasing the stability of the functioning of high-tech enterprises, allowing to ensure the stability of the enterprise, are presented.

1. Varshavskii A.E. Science-intensive industries and high technologies: definition, indicators, technical policy, share in the structure of the Russian economy. Èkonomičeskaâ nauka sovremennoj Rossii = Economics of Contemporary Russia. 2000;(2):61–82. (In Russ.)

2. Kazmina I.V., Belgorodsky A. V., Bokorev Y.Y. Foresight as a basis for increasing the stability of the functioning of high-tech enterprises. Organizator proizvodstva = Organizer of Production. 2023;31(2):66–75. (In Russ.). https://doi.org/10.36622/VSTU.2023.32.59.006

3. Пыткин А.Н., Хисамова А.И. Организационноэкономический механизм управления предприятиями энергетики. Пермь: Автономная некоммерческая организация высшего образования «Пермский институт экономики и финансов»; 2014. 208 с.

4. Krivenko E.I. Monitoring the state and prospects of development of the industrial market segment and the production sector of the national economy. Proceedings of the Voronezh State University of Engineering Technologies. 2021;83(2):320–335. (In Russ.). https://doi.org/10.20914/2310-1202-2021-2-320-335

5. Mamadzhanov Kh.A., Fil’kov A.P., Korenevskii A.A. Basic elements of the enterprise intellectual asset management system. Imushchestvennye otnosheniya v Rossiiskoi Federatsii. 2004;(5(32)):55–59. (In Russ.)

6. Kazmina I.V. Features of the formation of a mechanism to ensure the economic security of enterprises with information technology. Proceedings of the Voronezh State University of Engineering Technologies. 2014;10(5):120–124. (In Russ.)

7. Kaz’mina I.V., Safin A.M., Shchegoleva T.V. The main directions of improving information systems for managing aviation enterprises based on the use of modern computer and information technologies. Organizer of Production. 2017;25(1):36–46. (In Russ.)

8. Гринберг А.С., Король И.А. Информационный менеджмент. М.: Юнити-Дана; 2003. 415 с.

9. Khorev A.I., Samogorodskaya M.I. The mechanism of assessment of economic efficiency of quality management system at the enterprise. Proceedings of the Voronezh State University of Engineering Technologies. 2016;(4):376–385. (In Russ.). https:// doi.org/10.20914/2310-1202-2016-4-376-385

10. Glukhov V.V., Babkin A.B., Shkarupeta E.V. Digital strategizing of industrial systems based on sustainable eco-innovation and circular business models in the context of the transition to Industry 5.0. Economics and Management. 2022;28(10):1006–1020. (In Russ.). https://doi.org/10.35854/1998-1627-2022-10-1006-1020

11. Shchegoleva T.V. Assarance of the reliability of business processes of high-tech industrial enterprises under conditions of digital transformation. Sovremennaya ekonomika: problemy i resheniya = Modern Economics: Problems and Solutions. 2022;(2(146)):69–78. (In Russ.). https:// doi.org/10.17308/meps.2022.2/2774

12. Казьмина И.В., Щеголева Т.В. Адаптивное развитие системы управления высокотехнологичных предприятий в условиях цифровой экономики. Воронеж: ООО Рекламно-издательская фирма «Кварта»; 2021. 204 с.

13. Kazmina I.V., Bokorev Yu.Yu., Shchegoleva T.V. Conceptual provisions of adaptive development of the management system of a high-tech enterprise in conditions of volatility of the digital environment. Organizer of Production. 2022;30(2):37–47. (In Russ.).

14. Фомина А.В., Авдонин Б.Н., Батьковский А.М., Батьковский М.А. Управление развитием высокотехнологичных предприятий наукоемких отраслей промышленности [под ред. А.В. Фоминой]. М.: Креативная экономика; 2014. 400 с.

15. Шаньгин В.Ф. Информационная безопасность и защита информации. М.: ДМК Пресс; 2014. 702 с.

16. Kazmina I.V., Shchegoleva T.V., Rodionova V.N. The structure of the management system of high-tech enterprises in the conditions of the volatility of the digital environment. Organizer of Production. 2021;29(4):15–24. (In Russ.). https:// doi.org/10.36622/VSTU.2021.75.68.002

17. Shkarupeta E., Enina E., Polnomoshnova O., Kiselev S., Korotaeva E. Labor productivity research in the conditions of digital economy. In: Soliman Kh.S. (ed.). Proceed. of the 33rd Inter. business information management association conference, IBIMA 2019: Education excellence and innovation management through vision 2020. Granada, Spain. April 10–11, 2019. International Business Information Management Association (IBIMA); 2019. Р. 8976–8983.

18. Grant W.E., Peterson T.R., Peterson M.J. Quantitative modeling of coupled natural/human systems: Simulation of societal constraints on environmental action drawing on Luhmann’s social theory. Ecological Modelling. 2002;158(1):143–165. https://doi.org/10.1016/S0304-3800(02)00219-3

19. Porter M.E., Stern S. Innovation: Location matters. MIT Sloan Management Review. 2001;42(4):28–36.