Literature DB >> 31957044

Nurses' intention to stay: The impact of perceived organizational support, job control and job satisfaction.

Xiaoyu Li1, Yaqing Zhang1, Dexiu Yan1, Fule Wen1, Yuanyuan Zhang1.   

Abstract

AIM: To propose a theoretical model of intention to stay (ITS) and examine the effects of perceived organizational support, job control and job satisfaction on ITS.
DESIGN: Cross-sectional multicentre survey.
METHODS: The survey was conducted from January 2017-July 2017 and comprised 3,240 clinical nurses from nine tertiary hospitals in eastern, central and western China, with 2,352 effective responses. Structural equation modelling was used to analyse the relationship between ITS and its correlative factors.
RESULTS: The hypothesized model was supported. Job control, perceived organizational support and job satisfaction significantly and directly affected nurses' ITS. Furthermore, job control and perceived organizational support showed indirect effects on ITS, which was mediated by job satisfaction. Perceived organizational support could positively influence job control to have a further impact on job satisfaction and ITS.
CONCLUSION: Based on a large sample of Chinese tertiary hospital nurses, this study proposed and verified a theoretical model of nurses' ITS, revealing that organization characteristics, work characteristics and affective response to work can have an impact on ITS. IMPACT: This study was the first to examine the relationships among perceived organizational support, job control, job satisfaction and ITS, enriching the theoretical model of ITS. Nurse managers can improve nurses' ITS by enhancing their perceived organizational support, job control and job satisfaction.
© 2020 John Wiley & Sons Ltd.

Keywords:  intention to stay; job control; job satisfaction; nurse; perceived organizational support; structural equation modelling

Mesh:

Year:  2020        PMID: 31957044     DOI: 10.1111/jan.14305

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


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