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Identifying Employee Turnover Risks Using Modified Quality Function Deployment
Author(s) -
Wang Xin,
Wang Li,
Xu Xiaobo,
Ji Ping
Publication year - 2014
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.2282
Subject(s) - quality function deployment , turnover , identification (biology) , function (biology) , business , quality (philosophy) , risk analysis (engineering) , index (typography) , operations management , computer science , marketing , engineering , economics , management , philosophy , botany , epistemology , evolutionary biology , world wide web , biology , new product development
Employee turnover is costly in terms of direct costs and indirect costs faced by organizations. Thus, researchers have investigated turnover for more than two decades. Different methods have been proposed to identify employee turnover risk. However, reducing and preventing employee turnover is still one of the biggest challenges to organizations. Quality function deployment (QFD) method is a systems approach to quality engineering. Employee turnover risk identification mainly involves employee turnover risk factors modelling, identifying risk factors ' index, and determining index weights. In this paper, we propose a multi‐level employee turnover risk identification model using modified QFD method. This study contributes to the QFD and employee turnover research literature and provides practical guidance to business practitioners. Copyright © 2014 John Wiley & Sons, Ltd.