Identifying Employee Turnover Risks Using Modified Quality Function Deployment

Xin Wang, Li Wang, Xiaobo Xu and Ping Ji

Systems Research and Behavioral Science, 2014, vol. 31, issue 3, 398-404

Abstract: 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.

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://doi.org/10.1002/sres.2282

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:srbeha:v:31:y:2014:i:3:p:398-404

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1092-7026

Access Statistics for this article

More articles in Systems Research and Behavioral Science from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().