E3S Web Conf.
Volume 164, 2020Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|Number of page(s)||12|
|Section||Environmental and Resource Economics|
|Published online||05 May 2020|
Transformation of the personnel competency model in the context of the transition to the digital economy
1 Central Russian Institute of Management, Branch of RANEPA, 5A, Boulevard Pobedy, Orel, 302028, Russian Federation
2 Southwest State University, 94, 50 Let Oktyabrya str., Kursk, 305040, Russian Federation
* Corresponding author: firstname.lastname@example.org
The purpose of the research is to study the problems of the competence interface of personnel management of business structures in the context of digital transformation and to justify the organizational and managerial measures for its development and effective use. The analysis of various approaches to highlighting the competencies of personnel in the digital economy, by which is meant the confident and selective use of information and communication technologies in the ecosystem, is presented. It is determined that the use of digital technologies is a prerequisite for ensuring the competitiveness of business structures. The leading role of “soft” skills, including both cognitive and socio-behavioral abilities, is substantiated. A three-module model of personnel competencies in the context of digital transformation is suggested, in which such digital competencies and skills as: working with digital technologies, creative thinking and behavior, professionally oriented skills in the field of production and managerial activities are highlighted. The use of the competency-based approach to the digital transformation of economic processes helps to increase the adaptability of the existing system of economic relations to the conditions of the new technological structure, and provides the possibility of introducing end-to-end technologies into management decision-making processes in order to increase their efficiency.
© 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.