E3S Web Conf.
Volume 258, 2021Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|Number of page(s)||8|
|Section||Psychology of Environmentally Responsible Behavior|
|Published online||20 May 2021|
Sustainable development of new technologies for clustering human capital (cenological approach)
1 Rostov State Transport University, 344038, 2, Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Sq., Rostov-on-Don, Russia
2 Rostov State University of Economics, 344002, B. Sadovaya str. 69, Rostov-on-Don, Russia
* Corresponding author: firstname.lastname@example.org
The article examines the stratification of human capital as a categorical unit of a research in the digital information space. The necessity of cognition of the properties and living conditions of generations arising from the nature of functioning in new categories of social and economic interaction is revealed. The authors substantiate the thesis that the study of the complex structure of human capital, prospects and dynamics of interaction is one of the most urgent tasks in the information space. Scientific research in this area can provide an invaluable contribution to improving the system of public administration and management of human capital in modern Russia. The article proposes the use of a cenological approach to the study and assessment of human capital as a theoretical and methodological basis for modeling and managing social systems. The goal is to develop approaches to the creation of a targeted structure of human capital, allowing the construction of a key social image in the information and digital environment.
© The Authors, published by EDP Sciences, 2021
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.