Abstract
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.
Highlights
The driving force of modern economic development is the trend towards the introduction of digital technologies in various areas of life and activity, including the agroindustrial complex
The hierarchical analysis used by Elena Maslyukova in studying the features of agricultural risk assessment and management [9] allowed us to rank the causes of inefficient development of economic entities of the agro-industrial complex of the region, the main of which were identified as low-effective marketing, control and accounting of reserves and resources
In order to increase the effectiveness of this methodology, it should be modernized by adding mechanisms for accounting for agricultural risks of the digital economy to its blocks
Summary
The driving force of modern economic development is the trend towards the introduction of digital technologies in various areas of life and activity, including the agroindustrial complex. The study by Georgios Bartsas and Kostas Komnitsas [1] applied a holistic methodology that integrates life-cycle analysis to assess environmental risks along with local farm and regional surveys using a multi-criteria environment of an analytical hierarchical process designed to identify the most sustainable agricultural management practices at the regional level. The disadvantage of the applied hierarchical analysis is the assessment of only one environmental risk without taking into account the possibilities of digitalization. The disadvantage of the method used is the lack of consideration of possible risks, except for sanitary, and the prospects for digitalization of farms
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