Issue |
SHS Web of Conferences
Volume 14, 2015
ICITCE 2014 – International Conference on Information Technology and Career Education
|
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Article Number | 02004 | |
Number of page(s) | 5 | |
Section | Social Research | |
DOI | https://doi.org/10.1051/shsconf/20151402004 | |
Published online | 07 January 2015 |
Study on the Supply and Demand Balance of Enterprise Human Resources Based on Statistical Prediction and Analysis
1 Academic Affairs Office, Chongqing College of Finance and Economics, 402160 Chongqing, China
2 Personnel Section, Chongqing College of Finance and Economics, 402160 Chongqing, China
The purpose of this study is to explore the relationship between supply and demand of human re- sources in enterprises. We know that the human resources departments in enterprises need to recruit staff from society every year to maintain scientific development of enterprises. But how to find the relationship between enterprise internal supply and actual demand is the real concern for many enterprises. At the beginning of the year, the implementation of recruitment is based on historical data, which requires a scientific and reasonable forecast to lay the foundation for optimization of human resources allocation. This article uses the trend equa- tion fitting to forecast and research the actual demand of human resources, applies Markoff prediction model to forecast and research the internal supply of human resources, meanwhile uses staff flow data of an enterprise from 2006 to 2013 to conduct an empirical analysis of the reliability and science of model algorithm, which provides a theoretical basis for the prediction of the balance of supply and demand for human resources in enterprises.
Key words: supply and demand of human resources / trend equation fitting / Markoff model / state matrix
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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