MATEC Web Conf.
Volume 265, 2019International Geotechnical Symposium “Geotechnical Construction of Civil Engineering & Transport Structures of the Asian-Pacific Region” (GCCETS 2018)
|Number of page(s)||10|
|Section||Construction Management and Economics|
|Published online||30 January 2019|
Specificity of human capital in the conditions of digital transformation of business organizations
Central Russian Institute of Management, Branch of RANEPA, 5A, Boulevard Pobedy, Orel, 302028, Russia
2 Southwest State University, South-West State University, 50 let Oktyabrya str., 94, Kursk, 305040 Russia
* Corresponding author: firstname.lastname@example.org
In Russia have emerged all the necessary prerequisites for the digital potential development and digital economy growth rates acceleration. The country has a sufficient intellectual and scientific base, supported by a good system of secondary and higher education. At the same time, the digital economy requires global production renewal, all levels staff retraining and rapid innovative management methods implementation. By all means in conditions of such economy highly skilled and highly paid personnel who has the opportunity to develop and to invest their human capital are certainly needed. The necessity to study the problems associated with the changes of quality of human capital influenced by the digitalization of the economy and determining the vectors for their solution is due to the discrepancy between the skills provided by the education system and required by the new economy, integration and globalization processes that dictate the need to search for modern methods, tools and management solutions for perfection of the formation system and use of human capital. Under the digital economy, the country's competitiveness is determined in the first instance by the accumulated and developed human capital, possessing various network and digital competencies at various levels: global, state, corporate and socio-individual.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Initial download of the metrics may take a while.