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Management of high-tech companies in conditions of import substitution

S. E. Pyatovsky, N. S. Efimova, E. V. Surkova

Abstract

The article analyzes the development of high-tech sectors of the Russian economy in the context of import substitution. Features of managing priority project portfolios are considered. Issues of creating a unified information space for aviation industry enterprises are studied in the context of introduction of a modified OLAP technology of management decision support. Investment attractiveness of high-tech sectors of the Russian economy is estimated based on the coefficient of gross value added of project products. Investment-overheated industries are identified, and recommendations on market correction and returning project assets to a balanced state are given.

Management of high-tech companies in conditions of import substitution

Abstract

The article analyzes the development of high-tech sectors of the Russian economy in the context of import substitution. Features of managing priority project portfolios are considered. Issues of creating a unified information space for aviation industry enterprises are studied in the context of introduction of a modified OLAP technology of management decision support. Investment attractiveness of high-tech sectors of the Russian economy is estimated based on the coefficient of gross value added of project products. Investment-overheated industries are identified, and recommendations on market correction and returning project assets to a balanced state are given.
Paper Structure (2 equations, 3 figures, 2 tables)

This paper contains 2 equations, 3 figures, 2 tables.

Figures (3)

  • Figure 1: Changes in the share of gross value added 11 of project products $K_\textrm{GVA}$ (equation \ref{['eq1']}) by industry ($N$) (Table \ref{['tabl:1']}) in comparison with regression values (dotted line) for the period 2019–2021, as of 2022.
  • Figure 2: Changes in gross value added 11 by industry ($M$) (Table \ref{['tabl:2']}) in comparison with regression values (dotted line) for the period 2019–2021, as of 2022.
  • Figure 3: Changes in the coefficient of irregularity of gross value added 11 by industry 1234567 (see Table \ref{['tabl:2']}) (a) and for the industries with the minimum and maximum growth values (b) for the period 2019–2021, as of 2022.