An Entropy-based Approach to Analyzing the Use of Digital Technologies in Organizations

The digitalization of organizations has a direct impact on the development of regions, as the implementation of modern technologies increases business efficiency, stimulates innovation, and creates high-tech jobs. This attracts investment, improves infrastructure, and enhances the quality of life, creating a cycle of sustainable development. Regions with a high level of digitalization in their companies become centers of economic growth, enhancing the competitiveness of the entire territory. Thus, the digital transformation of businesses serves as a driver for regional progress. This article focuses on analyzing the processes of digital transformation in organizations using an entropy-based approach, which allows for assessing the degree of disorder in systems and analyzing the predictability of processes. The relevance of the study is due to the rapid digitalization of the economy, which, along with its advantages, creates new challenges. The purpose of the work is to assess the digitalization disparities of organizations in Russian regions using an entropy approach. The study uses a comprehensive methodology that includes statistical analysis, data normalization, and the calculation of integral indicators based on seven key parameters of digital development. The calculations revealed significant regional differences. The maximum entropy is observed in the North-Western Federal District, indicating high heterogeneity in the digitalization of organizations in this region, while the minimum entropy is observed in the Far Eastern Federal District. The practical significance of the study lies in the possibility of developing differentiated government regulation strategies aimed at reducing the digital divide, optimizing resource allocation, and promoting technology transfer between regions. Research prospects are associated with an in-depth analysis of the dynamics of entropy indicators and the development of predictive models that take into account the resilience of regions to technological challenges. The results contribute to the theory of digital transformation management and offer new tools for improving the effectiveness of regional policies in an increasingly uncertain environment.