How to Support Monotown Industries with Advanced Professionals: Information Model as a Tool for Individual Education Route Design

DOI

10.2991/aebmr.k.200312.156How to use a DOI?

Abstract

For many years company towns, or monotowns (i.e. their Russian designation), have been crucial issues for federal and local governments from the point of view of monotowns’ economies diversification, and social and enterprise restructuring. One of the most significant changes may come from industry-university collaboration that is one of the efficient instruments to commercialize professional education and make it work for the needs of monotowns economies. The authors have analyzed the literature on the relevant topics and have come to a conclusion that it is necessary to gather and set information on education and employment opportunities, from and for all stakeholders, into a unified domain. This domain should contain formalized information, and support industry-university collaboration with a novel conceptual model of decision support system. The key outcome of the study is an informational model for individual education route design that synthesizes stakeholders’ needs, requirements and demands, and suggests information on education and employment opportunities in the conditions of a monotown economy. Upon the obtained results further investigations of decision supports systems as a tool for individual education rotes design will be carried out.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - A A Zakharova
AU  - M V Morozova
AU  - V G Lizunkov
PY  - 2020
DA  - 2020/03/17
TI  - How to Support Monotown Industries with Advanced Professionals: Information Model as a Tool for Individual Education Route Design
BT  - Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020)
PB  - Atlantis Press
SP  - 1131
EP  - 1139
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200312.156
DO  - 10.2991/aebmr.k.200312.156
ID  - Zakharova2020
ER  -