DIGITAL LIBRARY
MODELING THE EDUCATIONAL PATHS FOR FUTURE STAFF MEMBERS OF INDUSTRIAL ENTERPRISES ON THE BASIS OF LONG-TERM AND MEDIUM-TERM WORKFORCE PLANNING
1 Moscow State Technological University “STANKIN” (RUSSIAN FEDERATION)
2 National Research Moscow state university of civil engineering (RUSSIAN FEDERATION)
About this paper:
Appears in: EDULEARN19 Proceedings
Publication year: 2019
Pages: 6789-6795
ISBN: 978-84-09-12031-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2019.1630
Conference name: 11th International Conference on Education and New Learning Technologies
Dates: 1-3 July, 2019
Location: Palma, Spain
Abstract:
This paper summarizes considerations and preliminary research results on the implementation of the targeted training mechanism for industrial enterprises in the Russian Federation, based on the workforce planning methods.

The focus is particularly on the effective mechanisms of long-term stuffing and their interconnection with the workforce planning under the conditions of rapid technological changes, digitalization and industry 4.0 development and therefor the change of requirements to the competence profile of staff members.

The study is intended to highlight the convergent approach to the prospective organic mechanisms and institutional regulations of the human capital development of the strategic industries.

In order to gain better understanding of the workforce planning mechanisms of Russian industrial enterprises the results of a survey made in the machine building industry and practical methods that are used among industrial enterprises are represented.

In the framework of the research we also undertake the tasks to provide the insights into the industrial enterprises’ motivation for long-term and medium term workforce planning and involvement into content management of the educational programs in targeted learning.

The baseline results, described in the paper are intended to show the impact of workforce planning sufficiency on educational paths modeling and to provide the mechanisms for the institutional support of closer cooperation between universities and enterprises in this field.
Keywords:
Human capital, innovative development of universities, adaptation period, strategic industries, cooperation with education institutions, industry 4.0.