Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
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|
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Article Number | 08064 | |
Number of page(s) | 10 | |
Section | Agricultural Management and Environmental Economics | |
DOI | https://doi.org/10.1051/e3sconf/202127308064 | |
Published online | 22 June 2021 |
Methodology for assessing agricultural risks of the digital economy
1 Novosibirsk State Technical University, Karl Marx Ave.., 20, Novosibirsk, 630078, Russia
2 Siberian Institute of Management – Branch of Russian Academy of National Economy and State Service Under the RF President, Nizhnegorskaya, 6, Novosibirsk, 630102, Russia
3 Private institution “RusAtom-international Network”, 7/1, Stoletova str., Moscow, 119192, Russia
* Corresponding author: mkacadem@mail.ru
In recent years, there has been increasing interest in the introduction of digital technologies in various areas of life and activity, including the agro-industrial complex. However, few studies pay attention to the issue of risk assessment that accompanies this process. It is not known how to methodically competently and quickly analyze possible risks and assess the prospects of the organization for transformation into the digital economy. The aim of the work is to develop an effective methodology for assessing agricultural risks and on their basis to determine the prospects of organizations in the direction of digital transformation. To explore the possibilities of digitalization, we use hierarchical and digital analysis, as well as operations of mathematical logic and set theory. The results of the study indicate that the evaluation method can be divided into 8 blocks, and its algorithm consists of five stages. The proposed methodology will contribute to the formation of more effective organizational and economic regulators for the transformation of economic entities into a digital economy through a preventive assessment of agricultural risks and, taking them into account, the readiness for digitalization of state authorities, economic entities and the population.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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