Jeongwon Han; Heeyoung Woo; Eunsil Ju; Sohee Lim; Sangsook Han

doi:10.4040/jkan.2013.43.4.517

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Original Article
Effects of Nurses' Social Capital on Turnover Intention: Focused on the Mediating Effects Organizational Commitment and Organizational Cynicism: Jeongwon Han, Heeyoung Woo, Eunsil Ju, Sohee Lim, Sangsook Han; Journal of Korean Academy of Nursing 2013;43(4):517-525.
DOI: https://doi.org/10.4040/jkan.2013.43.4.517
Published online: August 30, 2013

¹College of Nursing Science, Kyung Hee University, Seoul, Korea.

²College of Nursing Science, East-West Nursing Research Institute, Kyung Hee University, Seoul, Korea.

Address reprint requests to: Han, Sangsook. College of Nursing Science, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Korea. Tel: +82-2-961-9427, Fax: +82-2-961-9398, sshan12@khu.ac.kr

• Received: February 25, 2013 • Accepted: June 18, 2013

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Abstract
NOTES
REFERENCES

Abstract

Purpose
The purpose of this study was to investigate the casual relationship between nurses' social capital and turnover intention and to verify the goodness of fit between a hypothetical model and actual data in order to suggest the best model.
Methods
This survey was conducted with 315 nurses working in general hospitals in Seoul. Data were collected from December 1 to December 30, 2011, and analyzed using SPSS Windows 18.0 and AMOS 16.0.
Results
Nurses' social capital was found to have a direct effect on reducting organization cynicism and increasing organizational commitment. Nurses' organizational cynicism and organizational commitment were found to have a direct effect on turnover intention, but social capital did not have a direct effect on turnover intention. However, social capital had a partial and indirect effect on turnover intention through mediating organizational cynicism and organizational commitment.
Conclusion
Results of this study indicate that nurse managers should put increased effort in reducing nurses' organizational cynicism and improving their organizational commitment, two contrary parameters. At the same time managers need to develop plans to establish social capital more efficiently so that nurses have lower turnover intention.
Keywords: Nurse; Capital; Turnover

This study was supported by the Kyung Hee University sabbatical year in 2011.

REFERENCES

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Figure 1

Path diagram of the hypothetical model.

Table 1

The Correlation and Discriminant Validity of the Model

^*p<.001; The shaded section: Discriminant validity, The non shaded section: Correlation.

CCR=Composite construct reliability; AVE=Average variance extracted.

Table 2

Result of the Fit Statistics of the Measurement Model

GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; NFI=Normed fit index; CFI=Comparative fit index; RMR=Root mean residual; RMSEA=Root mean squared error of approximation.

Table 3

The Result of Path Coefficient

B=Regression weight; β=Standardized regression weight; S.E.=Standard error; C.R.=Critical ratio.

Table 4

The Effects of Predictor Variables in the Model

Figure & Data

REFERENCES

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Effects of Nurses' Social Capital on Turnover Intention: Focused on the Mediating Effects Organizational Commitment and Organizational Cynicism

J Korean Acad Nurs. 2013;43(4):517-525. Published online August 30, 2013

DOI: https://doi.org/10.4040/jkan.2013.43.4.517

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Effects of Nurses' Social Capital on Turnover Intention: Focused on the Mediating Effects Organizational Commitment and Organizational Cynicism

Figure 1 Path diagram of the hypothetical model.

Figure 1

Effects of Nurses' Social Capital on Turnover Intention: Focused on the Mediating Effects Organizational Commitment and Organizational Cynicism

Table 1

The Correlation and Discriminant Validity of the Model

^*p<.001; The shaded section: Discriminant validity, The non shaded section: Correlation.

CCR=Composite construct reliability; AVE=Average variance extracted.

Table 2

Result of the Fit Statistics of the Measurement Model

GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; NFI=Normed fit index; CFI=Comparative fit index; RMR=Root mean residual; RMSEA=Root mean squared error of approximation.

Table 3

The Result of Path Coefficient

B=Regression weight; β=Standardized regression weight; S.E.=Standard error; C.R.=Critical ratio.

Table 4

The Effects of Predictor Variables in the Model

Table 1 The Correlation and Discriminant Validity of the Model

^*p<.001; The shaded section: Discriminant validity, The non shaded section: Correlation.

CCR=Composite construct reliability; AVE=Average variance extracted.

Table 2 Result of the Fit Statistics of the Measurement Model

GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; NFI=Normed fit index; CFI=Comparative fit index; RMR=Root mean residual; RMSEA=Root mean squared error of approximation.

Table 3 The Result of Path Coefficient

B=Regression weight; β=Standardized regression weight; S.E.=Standard error; C.R.=Critical ratio.