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Forecasting Digital Economy Development Trends Based on Scientometric Data Monitoring

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XIV International Scientific Conference “INTERAGROMASH 2021"

Abstract

At present, digital economy makes a significant contribution both to the world`s economy development and to the various countries` economies, and it is reasonably one of their priority development directions. In accordance with this, the development trends of the digital economy based on scientometric databases’ study were determined. The purpose of the research is to determine a role of the digital economy in the modern processes of the global transformation and to forecast development trends in the digital economy based on the scientometric database study. The analysis was undertaken on the basis of the international bibliographic and abstract database Scopus and the database of the Russian Science Citation Index RSCI. As research methods, the methods of correlation and regression and mathematical statistics were used. The conducted study shows that an interest in the digital economy is increasing year by year. A system decomposition (a model) of the digital economy is presented. It is noted that in the field of the digital economy, the most part of the publications is currently dedicated to studies on digital technologies’ application. Based on the scientometric databases’ analysis within the interval between 2013 and 2019, the digital economy development trends are identified. The presented study allowed forecasting the main development trends of the digital economy in Russia, that makes it possible to determine the priority areas for the country’s economy development, and it forms the idea about the further research areas.

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Acknowledgements

This article was prepared with the financial support of Russian Foundation for Basic Research in studies on project No. 18-010-01119.

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Correspondence to Natalia Alekseeva .

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Babkin, I., Alekseeva, N., Barabaner, H., Antoshkova, N. (2022). Forecasting Digital Economy Development Trends Based on Scientometric Data Monitoring. In: Beskopylny, A., Shamtsyan, M. (eds) XIV International Scientific Conference “INTERAGROMASH 2021". Lecture Notes in Networks and Systems, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-81619-3_86

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  • DOI: https://doi.org/10.1007/978-3-030-81619-3_86

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