Management Life Prediction Based on Gray Theory

DOI

10.2991/emcs-17.2017.56How to use a DOI?

Keywords

Job requirements; Matching degree; Life prediction

Abstract

Most researches focus on the relationship between managers' background characteristics and enterprise performance, technological innovation, etc., and more focused on the direct link between the management background characteristics and corporate performance, technology innovation, to leave a certain research space in this paper. This article tries to predict the manager's term according to the manager's background, which is the life of the manager. Taking into account the post requirements of managers there are certain positions, this paper attempts to introduce managerial requirements and match manager background characteristics with job requirements. Through the calculation of the matching degree for several years, the manager can predict the future match degree of the manager and the management position, in order to predict the manager's job life.

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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TY  - CONF
AU  - Su Dai
AU  - Gengbao Huang
PY  - 2017/03
DA  - 2017/03
TI  - Management Life Prediction Based on Gray Theory
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 281
EP  - 284
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.56
DO  - 10.2991/emcs-17.2017.56
ID  - Dai2017/03
ER  -