Integral Assessment of the Level of Digitalization of Russian Organizations Based on the Polygon Method

The purpose of the research. Improving the methodology for integral assessment of the level of digitalization of organizations, which allows for comparable spatial and temporal analysis at the level of regions, federal districts and the country as a whole.

Materials and methods. The study is based on the data from the Federal State Statistics Service for 2020–2024. The polygon method, adapted to solve the problem of integral estimation, is used as the main method. The evaluation procedure includes the formation of a system of 15 indexes, grouped into 7 thematic blocks, their minmax normalization, the calculation of local criteria as arithmetic averages and the determination of the integral index as the ratio of the area of the polygon of the region to the area of the polygon of the reference region.

Results. A methodology was developed and tested in which the key shortcomings of existing approaches were eliminated: sensitivity to outliers, subjective weighting, and reliance on a limited range of indexes. Based on this methodology, the level of digitalization of organizations across the Russian Federation’s federal districts was calculated for 2024. It was found that the highest level of digitalization of organizations is observed in the Central Federal District (35.2%), and the lowest – in the North Caucasus Federal District (16.6%). The average Russian index was 29.5%. The dynamics for 2020–2024 demonstrates an overall increase in the level of digitalization of organizations by 7.1 percentage points, despite the negative impact of external shocks.

Conclusion. The proposed methodology provides a comprehensive, quantitatively interpretable and visually illustrative assessment of the digital development of Russian organizations. The results can be used by government statistics and management authorities to monitor business digitalization, develop regional strategies, and equalize digital inequality between territories.

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