Proceedings of the Second International Conference On Economic and Business Management (FEBM 2017)

Advanced human resource management model based on complex system and agent-based modeling

Authors
Yang Yu, Jun Wu
Corresponding Author
Yang Yu
Available Online October 2017.
DOI
10.2991/febm-17.2017.43How to use a DOI?
Keywords
multi-layer network, Kuhn-Munkres algorithm, probability theory, human-capital network, agent-based modeling
Abstract

Managing human resource of a company efficiently is always a popular topic all the time. Former researches usually use qualitative methodologies. Therefore, we design a model based on graph theory, statistics, team science, complex system and agent-based modeling.The structure of our model is a multi-layer network. We use probability theories to evaluate the value that the individual with different abilities can make in different positions, and utilize Kuhn-Munkres algorithm to find the optimal match between individuals and positions.

Copyright
© 2017, 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 Second International Conference On Economic and Business Management (FEBM 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-423-1
ISSN
2352-5428
DOI
10.2991/febm-17.2017.43How to use a DOI?
Copyright
© 2017, 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  - Yang Yu
AU  - Jun Wu
PY  - 2017/10
DA  - 2017/10
TI  - Advanced human resource management model based on complex system and agent-based modeling
BT  - Proceedings of the Second International Conference On Economic and Business Management (FEBM 2017)
PB  - Atlantis Press
SP  - 333
EP  - 338
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-17.2017.43
DO  - 10.2991/febm-17.2017.43
ID  - Yu2017/10
ER  -