Literature DB >> 22410597

[A model on turnover intention of chief nurse officers].

Kwang-Ok Park1, Jong Kyung Kim, Se Young Kim, Sunju Chang.   

Abstract

PURPOSE: The purpose of this study was to test the turnover intention model for chief nurse officers in general hospitals. The variables for the study included job stress, social support, job satisfaction, and organization commitment.
METHODS: A predictive, non-experimental design was used with a sample of 144 chief nurse officers from 144 general hospitals. Data were collected using self-administered questionnaires and analyzed using SPSS, AMOS program.
RESULTS: The overall fitness of the hypothetical model to the data was good (χ²=16.80, p=.052, GFI=.96, AGFI=.90, NFI=.97, CFI=.99). Job stress, social support, job satisfaction, and organization commitment explained 59.0% of the variance in turnover intention by chief nurse officers. Both organization commitment and social support directly influenced turnover intention for chief nurse officers, and job stress and job satisfaction indirectly influenced turnover intention.
CONCLUSION: The results imply that chief nurse officers in hospitals need social support and management of job stress to increase job satisfaction and organization commitment, and lower turnover intention.

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Mesh:

Year:  2012        PMID: 22410597     DOI: 10.4040/jkan.2012.42.1.9

Source DB:  PubMed          Journal:  J Korean Acad Nurs        ISSN: 2005-3673            Impact factor:   0.984


  2 in total

1.  [Relationships among Non-Nursing Tasks, Nursing Care Left Undone, Nurse Outcomes and Medical Errors in Integrated Nursing Care Wards in Small and Medium-Sized General Hospitals].

Authors:  Ju Young Park; Jee In Hwang
Journal:  J Korean Acad Nurs       Date:  2021-02       Impact factor: 0.984

2.  Assessing the Presence of Post-Traumatic Stress and Turnover Intention Among Nurses Post-Middle East Respiratory Syndrome Outbreak: The Importance of Supervisor Support.

Authors:  Heeja Jung; Sun Young Jung; Mi Hyang Lee; Mi Sun Kim
Journal:  Workplace Health Saf       Date:  2020-03-09       Impact factor: 1.413

  2 in total

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