Ecosystem approach to the strategic management of foreign trade activities of machine–building enterprises

Author:

Ostrovskaya S. V.1,Sorokin E. A.1

Affiliation:

1. National Research University MPEI

Abstract

The article presents the results of the analysis of the main trends in the innovative development of domestic machine–building enterprises, the export potential of domestic special–purpose products and machine–building products in general is considered. The main trends that must be taken into account in the strategic management of foreign trade activities of machine–building enterprises are identified. The necessity of forming an ecosystem, which includes both directly machine–building enterprises and enterprises that provide their activities, is shown, as well as its characteristics and role in improving the efficiency of strategic management of foreign economic activity in this sector of the economy. An ecosystem approach to the strategic management of foreign trade activities of machine–building enterprises is presented. The main functions and results of the functioning of the ecosystem formed in the machine–building complex are formulated. The main factors that must be taken into account when choosing strategies for foreign economic activity in the machine–building complex are determined. The direction of private and complex alternative solutions is revealed, which should include the strategy of foreign trade activities implemented in the machine–building complex. In view of the presence of many different alternative solutions related to the strategic management of foreign trade activities of machine–building enterprises within the ecosystem, the necessity of forming a controlling system is justified, which involves the creation of a single consultative structure with the participation of representatives of foreign partner companies.

Publisher

Publishing Agency Science and Education

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference10 articles.

1. Stoyanova O.V., Dli M.I. Information-analytical system for managing industrial projects of mechanical engineering in conditions of uncertainty. Software products and systems. 2015. No. 3. P. 49–56.

2. Kakatunova T.V., Shirokov S.S. The system of technology transfer strategies within the framework of machine-building educational and industrial clusters. Entrepreneur’s Guide. 2019. No. 41. P. 111–118.

3. Kirillova E.A., Dli M.I., Kakatunova T.V., Epifanov V.A. Transformation of the triple helix model in the context of the formation of innovative ecosystems in industry. Discussion. 2022. No. 1 (110). Pp. 16–30.

4. Kirillova E.A., Lazarev A.I., Kultygin O.P. Neural network model to support decision-making on managing cooperative relations in innovative ecosystems. Journal of Applied Informatics. 2022. V. 17. No. 2 (98). Pp. 79–92.

5. Chernova G.V., Kalayda S.A., Khalin V.G., Yurkov A.V. Matters of economic ecosystem classification. Journal of Applied Informatics. 2021. V. 16. No. 1 (91). Pp. 69–82.

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