For citation:
Kiseleva O. N., Rodionov A. S. Directions of the industrial enterprise management system digitalization based on the artificial intelligence technologies introduction in the context of achieving its sustainable development goals. Journal Izvestiya of Saratov University. Economics. Management. Law, 2025, vol. 25, iss. 2, pp. 149-163. DOI: 10.18500/1994-2540-2025-25-2-149-163, EDN: JDGNIK
Directions of the industrial enterprise management system digitalization based on the artificial intelligence technologies introduction in the context of achieving its sustainable development goals
Introduction. Today, sustainable development of our country’s industrial enterprises is one of the most important factors in ensuring its national security in the context of the current geopolitical and economic situation. To achieve the set goals of sustainable development, industrial enterprises use modern technologies and tools, among which the “digital” character prevails. Theoretical analysis. Researchers are currently considering improving the efficiency of production processes, solving problems of rational consumption of resources, “accelerating” the development and sale of new products, “tracking” and reducing the negative impact on the environment as priority areas for the digitalization of ESG transformation processes in domestic industrial enterprises, while issues in the field of management, which is one of the three components of sustainable development, are limited only to automating the collection and compilation of ESG reports. Еmpirical analysis. It has been revealed that along with high intensification of the Russian industrial enterprises’digitalization processes in the context of the 2030 Agenda implementation and the prevailing importance of artificial intelligence in them, technology does not find proper application in the “managerial” aspect, which limits its existing capabilities in this area. The reason for the current situation, along with insufficient resource and technical and technological support for enterprises, is the lack of practical experience in using technology, as well as the prevailing management bias and lack of necessary knowledge. Results. The development of classification features of artificial intelligence is proposed depending on the functions performed and the corresponding participation in the processes of development and implementation of management decisions, which will contribute to improving the efficiency of the industrial enterprises’ management system and “accelerating” their ESG transformation.
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