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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.8, Issue:23)
Article Information:

Research and Application of Human Capital Strategic Classification Tool: Human Capital Classification Matrix Based on Biological Natural Attribute

Yong Liu and Dazheng Wang
Corresponding Author:  Yong Liu 
Submitted: ‎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.

Key words:  Appreciation force, biological natural attribute, HCC matrix, hedge force, human capital strategy, ,
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Cite this Reference:
Yong Liu and Dazheng Wang, . Research and Application of Human Capital Strategic Classification Tool: Human Capital Classification Matrix Based on Biological Natural Attribute. Research Journal of Applied Sciences, Engineering and Technology, (23): 2369-2373.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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