Articles and publications about SV matrix

The SV matrix (Strength/Variety) firstly appeared in the article "SV Matrix: strategic competitive analysis tool based on the dominance level" published in the journal " Moscow University Economic Bulletin. Series 6. Economics" in 2021. You can read the article in English here (translation from original). Translations of the article into Spanish, Chinese, and Arabic are also being prepared and will be available soon.


Current studies using the SV matrix


In 2022 а series of publications with the use of SV matrix is being prepared for release, with the analysis of the following Russian markets:

A lot of publications using the SV matrix are being prepared for release. We will announce them in the list below. The following Russian and international markets have already been analyzed using the SV matrix:

  • audit services (published in February 2022);

  • agricultural sector (published in January 2022);

  • business process outsourcing market (published in April 2022);

  • Russian passenger car market (published in February 2022);

  • premium car market in Russia (published in June 2022);

  • the market of leasing companies;

  • the passenger car market of the People's Republic of China (published in January 2023);

  • Premium car market in Brazil (under review);

  • the Russian market of insurance services for the population at the end of 2021 (publication in the first quarter of 2023);

  • market of cars and commercial vehicles of the Republic of India (under review);

  • the market for master's programs in the digital economy (under review);

  • method of joint application of matrices SV (strength-variety) and BCG (growth-share) for industry research (under review);

  • India's premium car market: two or four wheels;

  • the market of beverages for a healthy diet in Russia (under review);

  • healthy food market in Russia (publicatuion due in March 2023);

  • Russian pharmaceutical market (manufacturers, distributors, retail) (published in December 2022);

  • Russian market of services in the field of information security (under review);

  • server hardware market in Russia, 2015-2021 (publicatuion due in March 2023);

  • South Korean automotive market (publicatuion due in the first quarter of 2023);

  • international market for electric vehicles;

  • international market of cloud providers (under review);

  • Russian vegetable milk market;

  • Pepsi's competitive strategies in various markets;

  • market of dietary supplements in Russia;

  • competition in the Russian market of diabetic drugs;

  • your research or article can be announced here!

If you plan to use the SV matrix in your research and need support, please contact us.


Directions of research using the SV matrix - we invite new authors


The SV matrix is a new tool, so we would be grateful to the researchers who will try to apply it in their research and make suggestions for improving and developing the ideas embodied in it.


Some directions for the research:

  • Application of the SV matrix to analyze new markets and industries: local countries' markets or international markets. It is noteworthy to study markets where economic dominance is traditionally strong: cellular communications, equipment manufacturers, commercial and industrial equipment markets, and others.
  • Analysis of the three indices used in the SV matrix: an additional study of the economic meaning and correct interpretation of the boundary values of the Lind index, as well as comparison of the use of the HTSV index with other differentiation indices when constructing the SV matrix.
  • Integration of the SV matrix with other strategic competitive analysis tools and the reasons that move to the market from one quadrant to another: strategic behavior of players, actions of regulators, and others.
  • ...and other related topics.

If you need methodological support in using the SV matrix - write to us.


Theory of Economic Dominance (TED) in multi-level markets


The SV matrix was developed as a result of applying quantitative methods to identify alpha companies according to the theory of economic dominance in multi-level markets.

  1. Blokhin, A.A., Lomakin-Rumyantsev, I.V., Naumov, S.A. Alpha Business in the Russian Food Market. Economic Strategies – 2019 - № 6, Pp. 68-77. ISSN 1680-094X.

  2. Vertogradov, V.A., Alpha, Beta and Gamma Market Strategies in the Context of Economic Dominance Theory. – 2020 - Economic Strategies, № 2, Pp. 50-53. ISSN 1680-094X. DOI: 10.33917/es-2.168.2020.50-53
  3. (in English) Suslova, I.P., Govorova, A.V., & Shchelokova, S.V. (2021). Analysis of the Online Education Market in Russia in the Context of the Theory of Economic Dominance. World of New Economy, 15 (3), 77-84. DOI: 10.26794/2220-6469-2021- 15-3-77-84

  4. (in English) Studnikov, S. S. (2021). Higher education in Russia: The Rise of Economic Dominance. The World of the New Economy,1, 112-120. — ISSN 2220-6469. — DOI: 10.26794/2220-6469-2021-15-1-112-120.
  5. (in English) Shchelokova, S. V., & Vertogradov, V. A. SV Matrix: strategic competitive analysis tool based on the dominance level. Moscow University Economic Bulletin – 2021 - № 6, 137–162.
  6. (in English) Blokhin A.A., Gridin R.V., Institutional Factors in Economic Forecasts // Studies on Russian Economic Development, 32, № 5, p. 459–466, 2021. DOI: 10.1134/S1075700721050051
  7. Chasovikov, M. (2021). Print Outsourcing: Local Market with Global Dominance. Economic Strategies, 4, 136-141. — doi:10.33917/es-4.178.2021.136-141.
  8. Manchenko, M.I. Express Delivery Market through the Prism of Economic Dominance. Logistics,- 2020 -  № 5, Pp. 9-15. — ISSN 2219-7222.