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dc.contributor.authorChen, Mei-Fangen_US
dc.contributor.authorLin, Chieh-Pengen_US
dc.contributor.authorLien, Gin-Yenen_US
dc.date.accessioned2014-12-08T15:19:50Z-
dc.date.available2014-12-08T15:19:50Z-
dc.date.issued2011en_US
dc.identifier.issn0264-2069en_US
dc.identifier.urihttp://hdl.handle.net/11536/14063-
dc.identifier.urihttp://dx.doi.org/10.1080/02642060903437543en_US
dc.description.abstractTurnover intention has been an important issue for decades since management has long recognized that low turnover intention of employees is helpful for consequently obtaining high organizational performance and avoiding the potential costs related to recruiting and training new employees. For that reason, this study proposed a research model of turnover intention based on Hackman and Oldham's [(1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16(2), 250-279.] job characteristics theory. The proposed research model is empirically tested using a survey of 255 employees from Taiwanese banks. Tests results of structural equation modelling provide evidence that role conflicts, role ambiguity, and role overload indeed have positive impacts on job stress. Employees with higher levels of job stress are more likely to think about leaving, while those perceiving more fairness of rewards are less likely. Implications for managerial administration and future research are discussed.en_US
dc.language.isoen_USen_US
dc.subjectjob stressen_US
dc.subjectturnover intentionsen_US
dc.subjectstructural equation modellingen_US
dc.subjectretail bankingen_US
dc.titleModelling job stress as a mediating role in predicting turnover intentionen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/02642060903437543en_US
dc.identifier.journalSERVICE INDUSTRIES JOURNALen_US
dc.citation.volume31en_US
dc.citation.issue8en_US
dc.citation.spage1327en_US
dc.citation.epage1345en_US
dc.contributor.department經營管理研究所zh_TW
dc.contributor.departmentInstitute of Business and Managementen_US
dc.identifier.wosnumberWOS:000289635800009-
dc.citation.woscount2-
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