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/).
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 -