|Title of the article||
STATE-OF-THE-ART OF THE MANAGEMENT INFORMATION INFRASTRUCTURE OF ARCTIC REGION DEVELOPMENT: CHALLENGES, TRENDS AND LIMITATIONS
Vladimir A. Putilov, Doctor of technical sciences, professor, scientific director, Institute of Informatics and mathematical modelling of technological processes of the Federal Research Center "Kola Science Centre" of the Russian Academy of Sciences (14 Fersmana street, Apatity, Murmansk region, Russia), E-mail: firstname.lastname@example.org
Background. The study is aimed to development and analysis of the computer-driven technologies for resilience and safety risk-management of the critical infrastructures of regional socio-economic systems in the Arctic region of Russia. It is important to improving the quality of information support of the management activity in this dynamic problem domain. Materials and methods. In terms of systems and functional-target approaches the state-ofthe-art, role and advanced directions of the information technologies and system development in respect to hot-button issues of regional management and needs of Arctic region have been analyzed. The place of information technologies in research and education, personnel support of regional economy, industrial ecology and socio-economic security management of the region are in detail considered. Results and conclusions. It is shown, that an efficient regional management in the Arctic region of Russia is impossible without use of the developed network-centric information infrastructure corresponding to goals and limitations of the Arctic region sustainable and safe development, as well as without systems integration and cooperation at the international level making the special demands to information technologies in the field of security support and management of the socio-economic systems. The ways to enhancement the network-centric information infrastructure for the purpose of management of the Arctic region development are proposed.
information technologies, management, regional development, quality, decision support system, safety, Arctic region
Дата обновления: 23.09.2021 11:07