Vol. 54 No. 2 (2026): Published June 30, 2025

DOI https://doi.org/10.18799/26584956/2026/2/2168

Digital technologies in Russian manufacturing industries: comparative analysis by types of innovation

Digital transformation is becoming an important factor in the innovative development of Russian industrial enterprises. Aim. To identify interindustry differences in the use of digital technologies by Russian enterprises and to analyze how digital technologies are distributed across different types of innovation at the firm level based on open Internet sources. The empirical database includes 722 enterprises from three manufacturing industries in Russia: the chemical industry, pharmaceuticals, and the production of computers and electronics. The study uses panel data for 2019–2023, as well as the results of content analysis of official company websites and other open Internet sources. Digital technologies are grouped into five types of innovation: product, process, organizational, environmental, and marketing. Descriptive statistics and nonparametric tests are used to assess differences between groups of firms. The results show that industries differ both in the overall level of digital technology use and in their internal structure. The highest aggregate level of digitalization is observed in the production of computers and electronics, where digital technologies are most strongly associated with product and marketing innovations. The chemical industry is characterized by a stronger orientation toward process, organizational, and environmental innovations, which reflects a more internal, production- and management-oriented profile of digitalization. Pharmaceuticals occupy an intermediate position but demonstrate lower values in several internal dimensions of digitalization. In all three industries, large firms use more digital technologies than small firms, and in most cases technological leaders outperform outsiders in the intensity of digitalization. The scientific significance of the study lies in advancing an approach to firm-level digitalization analysis through the lens of different types of innovation. The practical significance lies in the possibility of using the results to diagnose industry-specific digitalization profiles, identify the most vulnerable groups of enterprises, and develop more targeted industrial, innovation, and digital policy measures.

For citation: Spitsin V.V., Gasanov M.A., Spitsina L.Yu., Dukart S.A., Bragin A.D., Spitsina D.V.  Digital technologies in Russian manufacturing industries: comparative analysis by types of innovation. Journal of Wellbeing Technologies, 2026, vol. 54, no. 2, pp. 153–172. https://doi.org/10.18799/26584956/2026/2/2168

Keywords:

digital technologies, digital transformation, innovation, industrial enterprises, open data, content analysis, interindustry analysis, technological leaders, firm size, manufacturing industry

Authors:

Vladislav V. Spitsin

Magerram A. Gasanov

Lubov Yu. Spitsina

Sergey A. Dukart

Aleksandr D. Bragin

Darya V. Spitsina

References:

СПИСОК ЛИТЕРАТУРЫ

1. Huynh A.N.Q., Phan N.T.B. Digitalization, innovation and firm outcomes: a systematic review. Journal of Financial Economic Policy, 2025, 19 May DOI: https://doi.org/10.1108/jfep-10-2024-0303.

2. Абашкин В.Л., Абдрахманова Г.И., Вишневский К.О., Гохберг Л.М. и др. Цифровая экономика: 2026: краткий статистический сборник. М.: ИСИЭЗ ВШЭ, 2026. 132 с.

3. Rammer C., Es-Sadki N. Using big data for generating firm-level innovation indicators: a literature review. Technological Forecasting and Social Chang, 2023, Vol. 197, art. 122874. DOI: 10.1016/j.techfore.2023.122874. EDN: TTUYLD.

4. Ashouri S., Hajikhani A., Suominen A., Pukelis L., Cunningham S.W. Measuring digitalization at scale using web scraped data. Technological Forecasting and Social Change, 2024, Vol. 207, art. 123618. DOI: 10.1016/j.techfore.2024.123618. EDN: OFHPCJ.

5. Спицын В.В., Гасанов М.А., Леонова В.А. Воздействие цифровой трансформации экономики на развитие предприятий-технологических лидеров. E-Management, 2025, Т. 8, № 3, С. 16–30. DOI: 10.26425/2658-3445-2025-8-3-16-30. EDN: VNVDKC.

6. Qiu P., Chang B. The impact of digital transformation on open innovation performance: the intermediary role of digital innovation dynamic capability. PLoS ONE, 2025, Vol. 20, № 3, art. e0317785. DOI: 10.1371/journal.pone.0317785. EDN: JSFCZX.

7. Wang C., Yang J., Lin Y., Xue B. Assessing the impact of digital transformation on manufacturing enterprises’ performances: an efficiency perspective. International Journal of Financial Studies, 2025, Vol. 13, № 4, art. 241. DOI: https://doi.org/10.3390/ijfs13040241. EDN: DGZWLV.

8. Xu Y., Ji J., Qiao Y., Huang J. How and when does digital transformation promote technological innovation performance? A study of Chinese high-tech firms. Technovation, 2025, Vol. 146, art. 103294. DOI: 10.1016/j.technovation.2025.103294. EDN: VBQTRB.

9. Ma J., Shang Y., Liang Z. Digital transformation, artificial intelligence and enterprise innovation performance. Finance Research Letters, 2025, Vol. 78, art. 107190. DOI: 10.1016/j.frl.2025.107190. EDN: UVAFJF.

10. Jie H., Gooi L.M., Lou Y. Digital maturity, dynamic capabilities and innovation performance in high-tech SMEs. International Review of Economics & Finance, 2025, Vol. 99, art. 103971. DOI: 10.1016/j.iref.2025.103971. EDN: LMOYXI.

11. Rubio-Andrés M., Linuesa-Langreo J., Gutiérrez-Broncano S., Sastre-Castillo M.A. Tackling digital transformation strategy: how it affects firm innovation and organizational effectiveness. The Journal of Technology Transfer, 2025, Vol. 50, P. 1893–1918. DOI: 10.1007/s10961-024-10164-9. EDN: MZTAZL.

12. Njah S., Danjou C., Armellini F., Beaudry C., Mosconi E. A digital maturity model for assessing SMEs in the manufacturing sector. Digital Engineering, 2026, Vol. 9, art. 100084. DOI: 10.1016/j.dte.2025.100084. EDN: TUORUH.

13. Zhang C., Deng Y. How does digital transformation affect firm technical efficiency? Evidence from China. Finance Research Letters, 2024, Vol. 69, part A, art. 106069. DOI: 10.1016/j.frl.2024.106069. EDN: RYXRAH.

14. Гилева Т.А. Цифровая трансформация промышленных предприятий: тренды и стратегии. МИР (Модернизация. Инновации. Развитие), 2025, Т. 16, № 2, С. 225–241. DOI: https://doi.org/10.18184/2079-4665.2025.16.2.225-241. EDN: PEBEIS.

15. Денике Л.В. Интенсивная цифровизация как фактор инновационного развития предприятий. Региональная и отраслевая экономика, 2024, № S1, С. 130–134. DOI: 10.47576/2949-1916.2024.59.62.018. EDN: TXNTML.

16. Морковкин Д.Е., Макрушина А.В. Цифровизация промышленности как драйвер инновационно-технологического развития экономики. Вестник Евразийской науки. URL: https://esj.today/PDF/91ECVN224.pdf (дата обращения 14.06.2026).

17. Sõna S., Masso J., Sharma S., Vahter P., Sharma R. The analysis of firm web data for predicting company innovativeness: a comparison across different types of innovation. Journal of Business Analytics, 2024, Vol. 7, Iss. 4, P. 273–291. DOI: https://doi.org/10.1080/2573234X.2024.2364886.

18. Собиров Б.Ш. Цифровая трансформация промышленных предприятий как особый тип инновации. Экономика и управление, 2025, Т. 31, № 10, С. 1302–1313. DOI: 10.35854/1998-1627-2025-10-1302-1313. EDN: GMZCAV.

19. Козлов Т.Л. Ключевые тренды цифровой трансформации в развитии инновационной деятельности компаний. Индустриальная экономика, 2024, № S1, С. 160–164. DOI: 10.47576/2949-1886.2024.40.77.024. EDN: DLTZJF.

20. СПАРК-Интерфакс: информационная система. 2025. URL: https://spark-interfax.ru/ (дата обращения 25.10.2025).

21. Oslo manual 2018: guidelines for collecting, reporting and using data on innovation. 4th ed. The Measurement of Scientific, Technological and Innovation Activities. Paris, OECD Publishing; Luxembourg, Eurostat, 2018. 256 p. DOI: 10.1787/9789264304604-en.

22. Koenker R., Bassett G. Regression quantiles. Econometrica, 1978, Vol. 46, № 1, P. 33–50. DOI: 10.2307/1913643.

23. Гасанов М.А., Спицын В.В., Спицына Л.Ю., Леонова В.А., Брагин А.Д. Технологические лидеры в российской экономике: оценка сдвига производственного фронтира в 2019–2023 гг. Управление, 2026, Т. 14, № 1, С. 37–50. DOI: https://doi.org/10.26425/2309-3633-2026-14-1-37-50. EDN: TUDFDC.

REFERENCES

1. Huynh A.N.Q., Phan N.T.B. Digitalization, innovation and firm outcomes: a systematic review. Journal of Financial Economic Policy, 2025, 19 May, DOI: https://doi.org/10.1108/jfep-10-2024-0303.

2. Abashkin V.L., Abdrakhmanova G.I., Vishnevskiy K.O., Gokhberg L.M. Digital economy: 2026. Brief Statistical Compilation. Moscow, ISSEK HSE Publ., 2026. 132 p. (In Russ.)

3. Rammer C., Es-Sadki N. Using big data for generating firm-level innovation indicators: a literature review. Technological Forecasting and Social Change, 2023, vol. 197, art. 122874. DOI: 10.1016/j.techfore.2023.122874. EDN: TTUYLD.

4. Ashouri S., Hajikhani A., Suominen A., Pukelis L., Cunningham S.W. Measuring digitalization at scale using web scraped data. Technological Forecasting and Social Change, 2024, vol. 207, art. 123618. DOI: 10.1016/j.techfore.2024.123618. EDN: OFHPCJ.

5. Spitsyn V.V., Gasanov M.A., Leonova V.A. Impact of economic digital transformation on technologically leading enterprises development. E-Management, 2025, vol. 8, no. 3, pp. 16–30. (In Russ.) DOI: 10.26425/2658-3445-2025-8-3-16-30. EDN: VNVDKC.

6. Qiu P., Chang B. The impact of digital transformation on open innovation performance: the intermediary role of digital innovation dynamic capability. PLoS ONE, 2025, vol. 20, no. 3, art. e0317785. DOI: 10.1371/journal.pone.0317785. EDN: JSFCZX.

7. Wang C., Yang J., Lin Y., Xue B. Assessing the impact of digital transformation on manufacturing enterprises’ performances: an efficiency perspective. International Journal of Financial Studies, 2025, vol. 13, no. 4, art. 241. DOI: https://doi.org/10.3390/ijfs13040241. EDN: DGZWLV.

8. Xu Y., Ji J., Qiao Y., Huang J. How and when does digital transformation promote technological innovation performance? A study of Chinese high-tech firms. Technovation, 2025, vol. 146, art. 103294. DOI: 10.1016/j.technovation.2025.103294. EDN: VBQTRB.

9. Ma J., Shang Y., Liang Z. Digital transformation, artificial intelligence and enterprise innovation performance. Finance Research Letters, 2025, vol. 78, art. 107190. DOI: 10.1016/j.frl.2025.107190. EDN: UVAFJF.

10. Jie H., Gooi L.M., Lou Y. Digital maturity, dynamic capabilities and innovation performance in high-tech SMEs. International Review of Economics & Finance, 2025, vol. 99, art. 103971. DOI: 10.1016/j.iref.2025.103971. EDN: LMOYXI.

11. Rubio-Andrés M., Linuesa-Langreo J., Gutiérrez-Broncano S., Sastre-Castillo M.A. Tackling digital transformation strategy: how it affects firm innovation and organizational effectiveness. The Journal of Technology Transfer, 2025, vol. 50, pp. 1893–1918. DOI: 10.1007/s10961-024-10164-9. EDN: MZTAZL.

12. Njah S., Danjou C., Armellini F., Beaudry C., Mosconi E. A digital maturity model for assessing SMEs in the manufacturing sector. Digital Engineering, 2026, vol. 9, art. 100084. DOI: 10.1016/j.dte.2025.100084. EDN: TUORUH.

13. Zhang C., Deng Y. How does digital transformation affect firm technical efficiency? Evidence from China. Finance Research Letters, 2024, vol. 69, part A, art. 106069. DOI: 10.1016/j.frl.2024.106069. EDN: RYXRAH.

14. Gileva T.A. Digital transformation of industrial enterprises: trends and strategies. MIR (Modernization. Innovation. Research), 2025, vol. 16, no. 2, pp. 225–241. (In Russ.) DOI: https://doi.org/10.18184/2079-4665.2025.16.2.225-241. EDN: PEBEIS.

15. Denike L.V. Intensive digitalization as a factor of innovative development of enterprises. Regional and Branch Economy, 2024, no. S1, pp. 130–134. (In Russ.) DOI: 10.47576/2949-1916.2024.59.62.018. EDN: TXNTML.

16. Morkovkin D.E., Makrushina A.V. Digitalization of industry as a driver of innovative and technological development of the economy. The Eurasian Scientific Journal (In Russ.) Available at: https://esj.today/PDF/91ECVN224.pdf (accessed 14 June 2026).

17. Sõna S., Masso J., Sharma S., Vahter P., Sharma R. The analysis of firm web data for predicting company innovativeness: a comparison across different types of innovation. Journal of Business Analytics, 2024, vol. 7, Iss. 4, pp. 273–291. DOI: https://doi.org/10.1080/2573234X.2024.2364886.

18. Sobirov B.Sh. Digital transformation of industrial enterprises as a special type of innovation. Economics and Management, 2025, vol. 31, no. 10, pp. 1302–1313. (In Russ.) DOI: 10.35854/1998-1627-2025-10-1302-1313. EDN: GMZCAV.

19. Kozlov T.L. Key trends of digital transformation in the development of innovative activities of companies. Industrial Economics, 2024, no. S1, pp. 160–164. (In Russ.) DOI: 10.47576/2949-1886.2024.40.77.024. EDN: DLTZJF.

20. SPARK-Interfax. Information system. 2025. (In Russ.) Available at: https://spark-interfax.ru/ (accessed 25 October 2025).

21. Oslo manual 2018: guidelines for collecting, reporting and using data on innovation. 4th ed. The Measurement of Scientific, Technological and Innovation Activities. Paris, OECD Publishing; Luxembourg, Eurostat, 2018. 256 p. DOI: 10.1787/9789264304604-en.

22. Koenker R., Bassett G. Regression quantiles. Econometrica, 1978, vol. 46, no. 1, pp. 33–50. DOI: 10.2307/1913643.

23. Gasanov M.A., Spitsyn V.V., Spitsyna L.Yu., Leonova V.A., Bragin A.D. Technological leaders: assessing production frontier in the Russian economy under external shocks (2019–2023). Upravlenie/Management (Russia), 2026, vol. 14, no. 1, pp. 37–50. (In Russ.) DOI: https://doi.org/10.26425/2309-3633-2026-14-1-37-50. EDN: TUDFDC.

Скачать pdf (Русский)