The Lewisian turning-point obviously increase the labor costs of Chinese manufacturing firms, it made the employee turnover to become the key problem that how to keep the enterprise human resource stability. Here, the conceptual catastrophe model of employee turnover is built from the new perspective of empirical study and catastrophe theory. In particular, we developed a parameter estimation method of the Cusp catastrophe model based on qualitative simulation and fuzzy math, and then to demonstrate the rationality and robustness of this method by a practical case on a manufacturing enterprise. In the end, a series of virtual experiments are carried out for the employee turnover in the period of China's economic transformation. The main results are that, how to measure the warning, critical and mutation area of employee turnover; the real relationship between the complex economic environment and the demission of employees; the control policy from the macroscopic governmental measures and microscopic enterprise ways.
机构:
Changjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R ChinaChangjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China
Shen, Dingtao
Qian, Tianlu
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Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Key Lab Land Satellite Remote Sensing Applicat, Minist Nat Resources,Sch Geog & Ocean Sci, Nanjing 210023, Peoples R ChinaChangjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China
Qian, Tianlu
Xia, Yu
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Changjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R ChinaChangjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China
Xia, Yu
Zhang, Yu
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Changjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R ChinaChangjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China
Zhang, Yu
Wang, Jiechen
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Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Key Lab Land Satellite Remote Sensing Applicat, Minist Nat Resources,Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
Nanjing Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R ChinaChangjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China