Formation of an ESG management system based on digital analytics
DOI:
https://doi.org/10.15587/2706-5448.2026.357883Keywords:
sustainable development, agricultural sector, ESG management, digital analytics, CSRDAbstract
The object of research is the process of forming an ESG management system based on digital analytics (DA). The research addresses the issue of implementing value-based sustainable development guidelines in the agricultural sector through ESG-oriented resource management mechanisms using DA tools. The theoretical and applied parts of the research are based on a combination of a systemic vision of the problem under study, analytical procedures, comparative analysis, and economic-mathematical tools. The empirical basis of the research was formed through the analysis of data for 2020–2024. The research incorporates reports of agri-food companies, materials from international institutions, as well as EU documents regulating digitalization in food supply chains. On this basis, an economic and statistical analysis was conducted to assess the role of DA in shaping the ESG management system in the agricultural sector. Economic and mathematical modeling was applied to identify relationships between the efficiency of resource use by enterprises and their performance according to ESG criteria. The obtained results made it possible to establish that, in the process of forming ESG-oriented management, DA can serve as an important tool for transforming primary information on the use of natural resources into a system of measurable ESG indicators. Such indicators can be used both in internal enterprise management and during auditing or comparison of performance results across different periods. The model developed in the research was tested using data from the agricultural sector of Ukraine. The results of its application confirmed the existence of a stable relationship between the level of resource efficiency in production, economic performance, and environmental parameters included in the ESG framework.
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Copyright (c) 2026 Petro Pererva, Oleh Kniaz, Nelli Heorhiadi, Roksolana Vilhutska, Khrystyna Peredalo

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