CONVERGENCE OF DIGITALIZATION AND DATA ANALYTICS AS A FACTOR OF MANAGEMENT PARADIGM TRANSFORMATION IN THE MODERN DIGITAL ECONOMY

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Authors: Elena A. Shevereva, Victoria A. Nyarginen
Cited by: 0

Abstract

The article explores the convergence of digitalization and data analytics, which determines the formation of a new management paradigm within the digital economy. The study examines the evolution from linear functional interconnections to the creation of closed-loop intelligent management circuits. The authors analyze the technological and institutional drivers of this transformation: embedded analytics, platform ecosystems, machine learning methodologies, and the digital twin concept. It is demonstrated that the result of this process is the emergence of a fundamentally new type of organization – data-driven enterprises, where digital assets and analytical models form a unified self-regulating system. The paper proposes a multi-level convergence model and articulates emerging challenges in strategic management, ethics, and cybersecurity.

Fields of Study & Subjects

Digital Economy and Transformation Economic and Technological Systems Analysis Digital Innovation in Industries

Publication details

Journal / source
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Volume
3/1
Issue
168
Pages
204–209
Publication date
1 January 2026
Language
EN