The Process Model of Digital Transformation of a Resource-Supplying Organization

Abstract

The digital transformation of resource-supplying organizations in Russia is becoming a key element in ensuring the sustainable development of the public utilities sector. In the context of increasing demand for energy efficiency, automation, and transparency of business processes, companies are progressively implementing advanced technologies ranging from smart metering systems and remote monitoring to big data analytics and artificial intelligence. These solutions enable organizations to optimize operating costs, reduce resource losses, improve forecasting accuracy, and enhance the quality of customer service. The objective of this study is to develop a process-based model of digital transformation for a resource-supplying organization. The relevance of the research is determined, on the one hand, by the need to ensure both the sustainable development of public utility enterprises and the accessibility of their services to the population, and, on the other hand, by the necessity to align with national regulatory priorities and state policy. In particular, this includes achieving the objectives of the national project “Digital Economy” and the ministerial project “Smart City” implemented by the Ministry of Construction of the Russian Federation. The article presents an analysis of the impact of methodological and practical approaches to the implementation of innovative technologies, modern services, and digital platforms on managerial decision-making processes. The study employs such research methods as comparative and logical analysis, including a review of academic literature. The findings may be of practical relevance to resource-supplying organizations and to the academic community in the development of effective approaches to managing public utility infrastructure.