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http://dx.doi.org/10.11111/jkana.2014.20.4.426

Effects of Empowerment and Job Satisfaction on Nursing Performance of Clinical Nurses  

Choi, Ji-Yeon (Eulji University Hospital)
Kim, Eun-Kyung (Department of Nursing, Chungbuk National University)
Kim, Se Young (Department of Nursing, Changwon National University)
Publication Information
Journal of Korean Academy of Nursing Administration / v.20, no.4, 2014 , pp. 426-436 More about this Journal
Abstract
Purpose: This study was conducted to identify factors that affect nursing performance; Those factors are personal characteristics, sub-categories of empowerment and job satisfaction of clinical nurses. Methods: Data were collected from November 24, 2012 to March 11, 2013, and participants were 451 hospital nurses in 6 hospitals. Descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficient, and stepwise multiple regression were used for data analysis. Results: Nurses who were older, married, highly educated, in the position of charge nurse, and with longer clinical careers showed relatively higher empowerment, higher job satisfaction, and higher nursing performance than others. Also, there were strong correlations between nursing performance and empowerment (r=.576)/job satisfaction (r=.617). Factors predicted nursing performance were relationship with coworkers (${\beta}=.398$), duty (${\beta}=.181$), promotion system (${\beta}=.134$), and turnover intention (${\beta}=-.109$). Factors predicting job satisfaction were competency of empowerment (${\beta}=.249$), and clinical career (${\beta}=.151$). These 6 factors explained 55.2% of the variance in nursing performance (F=93.37, <.001). Conclusion: Regarding human resource management, relationship with co-workers is a changeable factor. Therefore nursing organizations should apply these factors in human resource management to enhance nursing performance and achieve organizational goals.
Keywords
Nurses; Empowerment; Job satisfaction; Nurses performance evaluation;
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Times Cited By KSCI : 11  (Citation Analysis)
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