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Forecasting trends in e-government development in the post-Soviet countries

Author

Listed:
  • Mikhail K. Chernyakov

    (Novosibirsk State Technical University)

  • Maria M. Chernyakova

    (Siberian Institute of Management – branch of RANEPA)

Abstract

Though digital technologies are the driving force of innovations and economic growth worldwide, they cause numerous problems. One of such problems is uneven formation of the digital economy in the post-Soviet countries. The research aims to compare the digitalization processes in the territories of the post-Soviet countries to conclude about the problems and prospects of the digital economy in the post-Soviet space. The authors apply the system, comprehensive and territorial approaches with the use of functional and comparative analysis for economic interpretation of the findings. The research novelty is the classification of the post- Soviet countries according to the level of the digital economy development. The analysis of the post-Soviet economies’ readiness to the digital transformation indicates three levels of readiness: medium (0.25 0.75). As a result of the ranking, the cluster with very high level of digitalisation includes five countries of the northwest, the cluster with high level of digitalisation encompasses eight countries of the southwest, and the cluster with the medium level lists two countries of the southeast of the post-Soviet space. The major challenges during the transformation into the digital economy are an overall tense economic situation and delayed measures on narrowing the digital divide, which lead to a decrease in the growth rates of telecommunication indicators of the former Soviet Union countries. The authors argue that the most important task for these countries is to develop balanced methods for handling these challenges, which should be able to maximize the positive effects and keep the risks of the digital economy to a minimum.

Suggested Citation

  • Mikhail K. Chernyakov & Maria M. Chernyakova, 2019. "Forecasting trends in e-government development in the post-Soviet countries," Journal of New Economy, Ural State University of Economics, vol. 20(4), pages 5-21, September.
  • Handle: RePEc:url:izvest:v:20:y:2019:i:4:p:5-21
    DOI: 10.29141/2073-1019-2019-20-4-1
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    References listed on IDEAS

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    1. Hyeri Choi & Min Jae Park, 2019. "Evaluating the Efficiency of Governmental Excellence for Social Progress: Focusing on Low- and Lower-Middle-Income Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 111-130, January.
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    More about this item

    Keywords

    forecasting; tendency; digital economy; development index; ranking; electronic government; management.;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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