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

APPLIED NURSING RESEARCH(2021)

引用 10|浏览5
暂无评分
摘要
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 (chi(2) = 1803.15, df = 1014, p < 0.001, comparative fit index = 0.907, root mean square error of approximation = 0.049). Interactional justice showed the most significant correlation to job satisfaction (r = 0.590). Job satisfaction and ease of work also showed a significant positive correlation (r = 0.696). Distributive justice had a slight negative indirect effect on job satisfaction, whereas procedural justice had no significant effect. Conclusion: In order to enhance job satisfaction/ease of work among Japanese nurses, improvement of interactional justice may be the best strategy.
更多
查看译文
关键词
Organizational justice, Organizational citizenship behavior, Job satisfaction, Pleasant working environment
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要