Journal List > J Korean Acad Nurs Adm > v.19(5) > 1051720

Yoon, Choi, Lee, Lee, and Park: Effects of Decision Making Competency, Nursing Professionalism, and Job Satisfaction on Turnover Impulse among Nurses



The study was undertaken to investigate effects of decision making competency, nursing professionalism and job satisfaction on turnover impulse, and identify factors contributing to turnover impulse among nurses.


The study was a descriptive study with 231 nurses from 4 general tertiary hospitals participating. Data were collected during March, 2013 using a structured self-report questionnaire. Decision making competency, nursing professionalism, and job satisfaction were measured with validated instruments, and turnover impulse was measured with one question using a 5-point Likert scale. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficients and multiple regression.


The significant predictors of turnover impulse among nurses were professionalism (β=-0.18, p=.015) and job satisfaction (β=-0.18, p=.009). These variables explained 12% of the variance in turnover impulse among nurses.


The results indicate that nursing managers need to put efforts in improving nurses' job satisfaction and to develop plans to increase nursing professionalism in order to reduce nurses' turnover impulse.

Figures and Tables

Table 1
General Characteristics of the Participants (N=231)

*Missing responses excluded.

Table 2
Resignation Impulse, Decision Making Competency, Nursing Professional Value, and Job Satisfaction (N=231)
Table 3
Differences of Resignation Impulse, Decision Making Competency, Nursing Professional Value, and Job Satisfaction by General Characteristics (N=231)
Table 4
Correlations among Resignation Impulse, Decision Making Competency, Nursing, Professional Value, and Job Satisfaction (N=231)
Table 5
Factors Influencing Resignation Impulse (N=231)

Dummy variable: *1=No, 0=Yes; 1=Metropolitan, 0=Micropolitan; 1=General unit, 0=Special & outpatient units.


This research was supported by Howon University in 2013.


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