Literature DB >> 26218002

The Effects of Supervisors' Support and Mediating Factors on the Nurses' Job Performance Using Structural Equation Modeling: A Case Study.

Ramin Ravangard1, Shamim Yasami, Nasrin Shokrpour, Zahra Sajjadnia, Payam Farhadi.   

Abstract

Nurses are the largest group and an important part of the providers in the health care systems that who a key role in hospitals. Any defect and deficiency in their work can result in irreversible outcomes. This study aimed to determine the effect of supervisors' support and mediating factors on the job performance (JOBPER) of 400 nurses working in the teaching hospitals affiliated to Shiraz University of Medical Sciences, using structural equation modeling. The results showed that the supervisor's support had a significant negative effect on work-family conflict (t = -2.57) and a positive effect on organizational commitment (t = 4.03); Work-family conflict had a significant positive effect on job stress (t = 11.24) and a negative effect on organizational commitment (t = -3.35) and JOBPER (t = -2.29). Family-work conflict had a positive effect on job stress (t = 4.48) and a negative effect on organizational commitment (t = -2.54). Finally, job stress had a negative effect (t = -3.30), and organizational commitment showed a positive effect (t = 5.96) on the studied nurses' JOBPER. According to the results, supervisor's support could influence JOBPER through reducing work-family conflict and increasing organizational commitment. Therefore, to improve the nurses' JOBPER in the hospitals, some strategies are recommended.

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Mesh:

Year:  2015        PMID: 26218002     DOI: 10.1097/HCM.0000000000000068

Source DB:  PubMed          Journal:  Health Care Manag (Frederick)        ISSN: 1525-5794


  2 in total

1.  Factors Associated with Job Stress among Hospital Nurses: A Meta-Correlation Analysis.

Authors:  Ji-Young Lim; Geun-Myun Kim; Eun-Joo Kim
Journal:  Int J Environ Res Public Health       Date:  2022-05-10       Impact factor: 4.614

2.  Application of a Hybrid Multi-Criterion Decision-Making Model for Evaluation and Improvement of Nurses' Job Satisfaction.

Authors:  Chao Liu; Huili Zhou; Yanjun Jin; Yen-Ching Chuang; Ching-Wen Chien; Tao-Hsin Tung
Journal:  Front Public Health       Date:  2022-07-04
  2 in total

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