Issue |
ITM Web Conf.
Volume 35, 2020
International Forum “IT-Technologies for Engineering Education: New Trends and Implementing Experience” (ITEE-2019)
|
|
---|---|---|
Article Number | 06001 | |
Number of page(s) | 8 | |
Section | Legislative and Regulatory Regulation of Engineering Digital Education | |
DOI | https://doi.org/10.1051/itmconf/20203506001 | |
Published online | 09 December 2020 |
Methodology of Management of Innovative Development of Complex Socio-Economic Systems in the Information Society
1
Nanjing University, Nanjing, Jiangsu, China
2
Bauman Moscow State Technical University, 2nd Baumanskaya str., 5/1, 105005, Moscow, Russia
3
Russian Academy of Education, Pogodinskaya str., 8, 119121, Moscow, Russia
* Corresponding author: mumc@bmstu.ru
The article presents methodological recommendations for managing the innovative development of complex socio-economic systems in the context of movement towards the information society, the formation and development of problem-oriented information and communication social spaces, the formation of specialized virtual innovation clusters, the organization of effective interaction between government bodies and local self-government, economic entities, their associations, other organizations and citizens having common interests and a common goal. The proposed methodological recommendations and model of innovative development can, with account of specific features, be effectively applied in various sectors of the national economy. Using the research results in practice will contribute to solving the problem of innovative modernization of the country, adapting authorities, organizations and citizens to the conditions of the global information society, increasing the functioning and competitiveness of complex socio-economic systems, improving quality and increasing the volume of socially significant products. An intelligent control system is proposed and a technology for managing the innovative development of complex socio-economic systems is developed.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.