• Svitlana State University of Intellectual Technologies and Communications
  • Svitlana Management and Administration, Kherson State University
  • Chepeliuk Simon Kuznets Kharkiv National University of Economic3
  • Tetiana Taras Shevchenko National University of Kyiv
  • Liudmyla National University of Technology and Design



Economic stability, Organizational and economic mechanism, Management, Telecommunications company, COVID-19


Modern telecommunications companies operate in conditions of risk and uncertainty due to both external and internal factors. Due to the influence of various factors, companies may find themselves in a state of crisis due to the lack of a management mechanism, the main purpose of which is to ensure economic stability and efficiency based on sustainable capacity building. The purpose of this article is to identify the factors that affect the economic stability of telecommunications enterprises in Ukraine, and study their impact on the integrated indicator in order to form an organizational and economic mechanism for managing economic stability. The study was carried out using the following methods: analysis, synthesis, generalization, systematization, correlation and regression analysis. The main tendencies of Ukrainian telecommunication networks development are defined in this research. It is established that the crisis conditions in the world and national economy have led to the development of organizational and economic mechanism for managing the economic stability of telecommunications enterprises. The key structural element of this mechanism is proposed to determine the assessment of economic stability based on the use of a set of balanced indicators. Based on correlation and regression analysis, a significant dependence of the overall integrated indicator of economic stability on the subscriber component, moderate - on the component of internal business processes and staff training and development and a weak inverse dependence on the financial component. It was proved an expediency of using multicollinearity to check the tightness of the relationship between the analyzed variables in the regression model.


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