Research Article | OPEN ACCESS
Research and Application of Human Capital Strategic Classification Tool: Human Capital Classification Matrix Based on Biological Natural Attribute
Yong Liu and Dazheng Wang
School of Economics and Managements, Hubei Polytechnic University, Huangshi 435003, Hubei Province, China
Research Journal of Applied Sciences, Engineering and Technology 2014 23:2369-2373
Received: September 30, 2014 | Accepted: November 3, 2014 | Published: December 20, 2014
Abstract
In order to study the causes of weak human capital structure strategic classification management in China, we analyze that enterprises around the world face increasingly difficult for human capital management. In order to provide strategically sound answers, the HR managers need the critical information provided by the right technology processing and analytical tools. In this study, there are different types and levels of human capital in formal organization management, which is not the same contribution to a formal organization. An important guarantee for sustained and healthy development of the formal or informal organization is lower human capital risk. To resist this risk is primarily dependent on human capital hedge force and appreciation force in value, which is largely dependent on the strategic value of the performance of senior managers. Based on the analysis of high-level managers perspective, we also discuss the value and configuration of principles and methods to be followed in human capital strategic classification based on Boston Consulting Group (BCG matrix) and build Human Capital Classification (HCC) matrix based on biological natural attribute to effectively realize human capital structure strategic classification.
Keywords:
Appreciation force, biological natural attribute, HCC matrix, hedge force, human capital strategy,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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