The relationship among factors of organizational justice, organizational citizenship behavior, job satisfaction, and ease of work among Japanese nurses.

Job satisfaction Organizational citizenship behavior Organizational justice Pleasant working environment

Journal

Applied nursing research : ANR
ISSN: 1532-8201
Titre abrégé: Appl Nurs Res
Pays: United States
ID NLM: 8901557

Informations de publication

Date de publication:
10 2021
Historique:
received: 01 03 2021
revised: 24 04 2021
accepted: 03 08 2021
entrez: 21 9 2021
pubmed: 22 9 2021
medline: 3 11 2021
Statut: ppublish

Résumé

This work is aimed to create a strategy to improve the nurses' working environment. As the working-age population is expected to decline in Japan, the maintenance of the nurse workforce is important. In order to create a strategy to improve the nurses' working environment, we studied the relationship among factors of organizational justice (procedural, distributive, and interactional justices), organizational citizenship behavior, job satisfaction, and ease of work. A cross-sectional, self-administered questionnaire was distributed to 969 nurses and 322 effective responses were analyzed (effective response rate 33.2%). The questionnaire contained demographic information, ease of work, and three scales for organizational justice, organizational citizenship behavior, and job satisfaction. The factor structure of the scales was studied using exploratory and confirmatory factor analysis. Structural equation modeling was used to investigate the relationship among measurements. The protocol was approved by the ethical committee of the author's university. The final model showed a fair fit to the data (χ In order to enhance job satisfaction/ease of work among Japanese nurses, improvement of interactional justice may be the best strategy.

Sections du résumé

AIM
This work is aimed to create a strategy to improve the nurses' working environment.
BACKGROUND
As the working-age population is expected to decline in Japan, the maintenance of the nurse workforce is important. In order to create a strategy to improve the nurses' working environment, we studied the relationship among factors of organizational justice (procedural, distributive, and interactional justices), organizational citizenship behavior, job satisfaction, and ease of work.
METHODS
A cross-sectional, self-administered questionnaire was distributed to 969 nurses and 322 effective responses were analyzed (effective response rate 33.2%). The questionnaire contained demographic information, ease of work, and three scales for organizational justice, organizational citizenship behavior, and job satisfaction. The factor structure of the scales was studied using exploratory and confirmatory factor analysis. Structural equation modeling was used to investigate the relationship among measurements. The protocol was approved by the ethical committee of the author's university.
RESULTS
The final model showed a fair fit to the data (χ
CONCLUSION
In order to enhance job satisfaction/ease of work among Japanese nurses, improvement of interactional justice may be the best strategy.

Identifiants

pubmed: 34544573
pii: S0897-1897(21)00086-0
doi: 10.1016/j.apnr.2021.151479
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

151479

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Misako Shimamura (M)

Department of Nursing, College of Nursing, Kansai University of Social Welfare, 380-3 Shinden, Ako 678-0255, Japan.

Mayumi Fukutake (M)

Department of Nursing, Kawasaki College of Allied Health Professions, 316 Matsushima, Kurashiki 701-0194, Japan.

Mineko Namba (M)

Department of Nursing, College of Nursing, Kansai University of Social Welfare, 380-3 Shinden, Ako 678-0255, Japan.

Tetsuya Ogino (T)

Department of Nursing Science, Faculty of Health and Welfare Science, Okayama Prefectural University, 111 Kuboki, Soja 719-1197, Japan. Electronic address: togino@fhw.oka-pu.ac.jp.

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Classifications MeSH