Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

Development of Information Analytical System for Quality Assessment of Human Capital in Digital Economy

Authors
T.V. Azarnova, Yu.V. Bondarenko, I.L. Kashirina, N.M. Shishkina
Corresponding Author
T.V. Azarnova
Available Online 1 August 2020.
DOI
10.2991/aebmr.k.200730.010How to use a DOI?
Keywords
human capital, digital economy, simulation modeling, development strategies
Abstract

Over recent years both academic and business interest in investigating specific aspects of human capital has grown rapidly. The present paper is aimed at designing an information analytical system to assess quality of human capital. Theories and essential calculations are covered along with a practical description of what is involved in assessing human capital quality. The proposed system is built on a functional cognitive model implementing the main processes of formation, use and development of human capital at the regional level. The peculiarities of formation and use of human capital have been described and the necessity of system-based approach to its studying has been proved. Different ways of assessing quality of functioning of complex poorly structured systems have been analyzed. There has been proposed the procedure of assessing quality of human capital based on creating a process model of forming, developing and using human capital with a cognitive attitude towards modeling quality of processes and the relationships between them. There has been developed a method of choosing an effective strategy of quality management with a set of tools of parametric analysis and simulation processing model of spreading impulses of changing quality in the system. There have been proposed a number of qualimetric algorithms used to assess quality of system elements. There has been devised an information analytical system for human capital management to implement the procedures of making multilevel quality assessment and researching the dynamics of changes in quality parameters. The use of various strategies of quality management allows the proposed methods to make current integral quality assessment as a hierarchy of dynamic system changes and to determine the quality changes. The tools of the information analytical system enable the researchers to carry out different computational experiments which simulate the dynamics of quality change according to the chosen strategies and automatic processing of an immense amount of data.

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/).

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Volume Title
Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
1 August 2020
ISBN
10.2991/aebmr.k.200730.010
ISSN
2352-5428
DOI
10.2991/aebmr.k.200730.010How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - T.V. Azarnova
AU  - Yu.V. Bondarenko
AU  - I.L. Kashirina
AU  - N.M. Shishkina
PY  - 2020
DA  - 2020/08/01
TI  - Development of Information Analytical System for Quality Assessment of Human Capital in Digital Economy
BT  - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
PB  - Atlantis Press
SP  - 47
EP  - 52
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200730.010
DO  - 10.2991/aebmr.k.200730.010
ID  - Azarnova2020
ER  -