Open Access
Issue
E3S Web Conf.
Volume 210, 2020
Innovative Technologies in Science and Education (ITSE-2020)
Article Number 05018
Number of page(s) 9
Section Plant Growing and Cereal Grain
DOI https://doi.org/10.1051/e3sconf/202021005018
Published online 04 December 2020
  1. M. Chernyakov, M. Chernyakova, Modelling of the process of regulating production, processing and marketing of milk and milk products, IOP Conference Series: Materials Science and Engineering, 656(1), 012014 (2019) doi: 10.1088/1757-899X/656/1/012014. [Google Scholar]
  2. M. S. Oborin, Digitalization of business processes in the field of food services as a factor in improving the food security of the region, 1st International Scientific Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2019), Advances in Economics, Business and Management Research, 81, 83-99 (2019) doi: 10.2991/mtde-19.2019.69. [Google Scholar]
  3. A. Pimenova, S. Kuzmina, V. Vaganova, E. Yahvarov, Digitalization tools in ensuring the efficiency of the enterprise activity, ACM International Conference Proceeding Series, 32, 1–4 (2020) https://doi.org/10.1145/3388984.3390641 [Google Scholar]
  4. N. P. Karachyna, M. O. Samofalova, Y. V. Bilyak, N. I. Drahnieva, An analysis of variability and mutual coordination of models of the economic behaviour of enterprises in digital space, International Journal of Advanced Science and Technology, 29(6), 1057-1065 (2020) [Google Scholar]
  5. Y. Zaitsev, O. Ponomariov, and et., Analysis of the Modern Monitoring Implementation Methods as the Main Stage of Digitalization of the Agrarian Enterprises, International Journal of Advanced Science and Technology, 29(6), 1014-1021 (2020) [Google Scholar]
  6. N. Sirotkina, E. Shkarupeta, V. Kruglyakova, A. Batova, Digital risk management, E3S Web of Conferences, 164, 10055 (2020) doi: https://doi.org/10.1051/e3sconf/202016410055 [CrossRef] [Google Scholar]
  7. A. Gladkova, M. Ragnedda, Exploring digital inequalities in Russia: an interregional comparative analysis, Online Information Review, 44(4), 767-786 (2020) [CrossRef] [Google Scholar]
  8. M. Pech, J. Vrchota, Classification of Small- and Medium-Sized Enterprises Based on the Level of Industry 4.0 Implementation, Applied Sciences (Switzerland), 10(15), 5150 (2020) https://doi.org/10.3390/app10155150 [CrossRef] [Google Scholar]
  9. O. Trubetskaya, Features of Digitalization of the Business Sector in the Russian Economy, Current Achievements, Challenges and Digital Chances of Knowledge-Based Economy, 1, 315-320 (2021) doi: 10.1007/978-3-030-47458-4_37 [CrossRef] [Google Scholar]
  10. European Commission: EU Science Hub. The European Commission’s science and knowledge service (2008) URL: https://ec.europa.eu/jrc/en/coin/10-step-guide/overview (Last accessed 12. 06.2020) [Google Scholar]
  11. A. Whitmore, A statistical analysis of the construction of the United Nations E-Government Development Index, Government Information Quarterly, 29(1), 68−75 (2012) doi: 10.1016/j.giq.2011.06.003. [CrossRef] [Google Scholar]
  12. M. Chernyakov, M. Chernyakova, I. Chernyakova, G. Gritsenko, Identification of regions in need of crisis management using the example of the dairy industry. E3S Web of Conferences, 175, 13024 (2020) DOI: 10.1051/e3sconf/202017513024. [Google Scholar]
  13. M. Chernyakov, M. Chernyakova, I. Chernyakova, Inno-diversification approach to regulating the dairy industry transformation into the digital economy, Advances in Economics, Business and Management Research, 131, 16-23 (2020) DOI: 10.2991/aebmr.k.200324.004. [Google Scholar]
  14. Digital Spillover: Measuring the true impact of the digital economy (2017) URL: https://www.huawei.com/minisite/gci/en/digital-spillover/files/gci_digital_spillover.pdf (Last accessed 12.06.2020) [Google Scholar]
  15. M. Chernyakov, M. Chernyakova, K. Akberov, Innodiversification model of the digital economy of the agricultural sector. Advances in Social Science, Education and Humanities Research, 240, 262-267 (2019) doi: 10.2991/sicni-18.2019.114. [Google Scholar]

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