Identifying Employee Turnover Risks Using Modified Quality Function Deployment

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...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Wang, Xin (author)
مؤلفون آخرون: Wang, Li (author), Xu, Xiaobo (author), Ji, Ping (author)
التنسيق: article
منشور في: 2014
الوصول للمادة أونلاين:http://hdl.handle.net/11073/8543
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author Wang, Xin
author2 Wang, Li
Xu, Xiaobo
Ji, Ping
author2_role author
author
author
author_facet Wang, Xin
Wang, Li
Xu, Xiaobo
Ji, Ping
author_role author
dc.creator.none.fl_str_mv Wang, Xin
Wang, Li
Xu, Xiaobo
Ji, Ping
dc.date.none.fl_str_mv 2014-06
2016-10-19T06:43:48Z
2016-10-19T06:43:48Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Wang, 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): 398-404
1099-1073
http://hdl.handle.net/11073/8543
10.1002/sres.2282
dc.language.none.fl_str_mv en_US
dc.relation.none.fl_str_mv Systems Research and Behavioral Science
http://dx.doi.org/10.1002/sres.2282
dc.title.none.fl_str_mv Identifying Employee Turnover Risks Using Modified Quality Function Deployment
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description 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.
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identifier_str_mv Wang, 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): 398-404
1099-1073
10.1002/sres.2282
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/8543
publishDate 2014
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repository.name.fl_str_mv
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spelling Identifying Employee Turnover Risks Using Modified Quality Function DeploymentWang, XinWang, LiXu, XiaoboJi, PingEmployee 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.2016-10-19T06:43:48Z2016-10-19T06:43:48Z2014-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfWang, 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): 398-4041099-1073http://hdl.handle.net/11073/854310.1002/sres.2282en_USSystems Research and Behavioral Sciencehttp://dx.doi.org/10.1002/sres.2282oai:repository.aus.edu:11073/85432024-08-22T12:15:54Z
spellingShingle Identifying Employee Turnover Risks Using Modified Quality Function Deployment
Wang, Xin
status_str publishedVersion
title Identifying Employee Turnover Risks Using Modified Quality Function Deployment
title_full Identifying Employee Turnover Risks Using Modified Quality Function Deployment
title_fullStr Identifying Employee Turnover Risks Using Modified Quality Function Deployment
title_full_unstemmed Identifying Employee Turnover Risks Using Modified Quality Function Deployment
title_short Identifying Employee Turnover Risks Using Modified Quality Function Deployment
title_sort Identifying Employee Turnover Risks Using Modified Quality Function Deployment
url http://hdl.handle.net/11073/8543