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dc.contributor.authorWang, Xin
dc.contributor.authorWang, Li
dc.contributor.authorXu, Xiaobo
dc.contributor.authorJi, Ping
dc.date.accessioned2016-10-19T06:43:48Z
dc.date.available2016-10-19T06:43:48Z
dc.date.issued2014-06
dc.identifier.citationWang, Xin, Wang Li, Xu Xiaobo and Ji Ping. "Identifying Employee Turnover Risks Using Modified Quality Function Deployment." Systems Research and Behavioral Science 31, no. 3 (June, 2014): 398-404en_US
dc.identifier.issn1099-1073
dc.identifier.urihttp://hdl.handle.net/11073/8543
dc.description.abstractEmployee 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.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesSystems Research and Behavioral Scienceen_US
dc.relation.urihttp://dx.doi.org/10.1002/sres.2282en_US
dc.titleIdentifying Employee Turnover Risks Using Modified Quality Function Deploymenten_US
dc.typeArticleen_US
dc.identifier.doi10.1002/sres.2282


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