Methods of scientific foresight in assessing the sustainability of the functioning of enterprises in high-tech industries
| Autor: | Kazmina Irina, Rodionova Valentina, Krasnikova Anna, Shchegoleva Tatiana |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | BIO Web of Conferences, Vol 138, p 02010 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2117-4458 20241380 |
| DOI: | 10.1051/bioconf/202413802010 |
| Popis: | The article analyzes the methods of scientific foresight for making managerial decisions at high-tech enterprises. It is determined that the stability of production and the competitiveness of the enterprise in the domestic and foreign markets can be determined by such a parameter as the stability of the functioning of the enterprise. Therefore, the stability of its functioning is considered as a predictable parameter characterizing the state of the 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 possible to use various methods. Based on the analysis of existing methods of scientific prediction of indicators and characteristics of industrial enterprises for making managerial decisions and their features, the most promising forecasting methods are identified, combined into the following groups: mathematical (statistical) forecasting methods based on mathematical models and patterns; computational methods of multi-stage forecasting based on artificial neural networks included in the software a digital double in an industrial company; expert forecasting methods involving the use of intuition, knowledge and expert assessments. The integral stability of the functioning of the enterprise is developed under the influence 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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