TERRITORIAL SYSTEMS MANAGEMENT IN HIGH TURBULENCE CONDITIONS: A NETWORK-CENTRIC APPROACH

Abstract

Introduction. In the context of high turbulence, which is characteristic of the modern world, there is an objective need to transition from linear forms of management to dynamic, risk‑oriented strategic planning and the use of innovative, more advanced management methods. The aim of the study is to substantiate the potential of a network‑centric approach for risk management in the management of large socio‑economic systems under the current conditions. The object of the study is the class of management systems for large socio‑economic systems. The subject of the study is the methodological approach to selecting directions for improving management in large management systems.

Materials and methods. The theoretical and methodological basis of the study consisted of scientific publications (mainly from 2023–2026) by foreign and Russian researchers on the ontology of turbulence in the modern world, a network‑centric approach, and risk management in a turbulent environment, as well as applied studies conducted in the isolated Kaliningrad Region on ensuring the development and life support of the territory under the challenging conditions. The methods of system and comparative analysis have been used to conceptualize network‑centric management in relation to regional practice under conditions of increasing turbulence.

Results. The directions for modernizing TSES management systems have been examined. The requirements for TSES management systems in the context of growing turbulence have been formulated. The possibilities of introducing network‑centric elements into TSES management systems have been assessed. The management operations that can be carried out in the conditions of the Kaliningrad TSES, primarily within the framework of a network‑centric approach, have been identified. The study has confirmed the possibility of using network‑centric elements for risk monitoring within a hybrid management model in the Kaliningrad TSES. The results obtained can be used to further disseminate network‑centric methods in general.

Discussion. Development prospects: integration of network‑centric control systems with other technologies, such as blockchain, the Internet of Things, and 6G; improvement of the introduced network‑centric elements based on big data, cloud technologies, the use of AI agents, and machine learning; ensuring the protection of personal data, confidentiality of source data and final results. Special attention should be paid to ensuring the operability of hybrid distributed systems, in which the reliability, timeliness, and consistency of data are critically important. The article may be useful to government and municipal officials, representatives of the expert community, teachers, postgraduate students, and university students studying the development of socio‑economic systems.