Se Young Kim; Eun-Kyung Kim; Heon Man Lim; Mi Young Lee; Kwang-Ok Park; Kyoung A Lee

doi:10.4040/jkan.2013.43.1.20

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Original Article
Structural Equation Modeling on Nursing Productivity of Nurses in Korea: Se Young Kim, Eun-Kyung Kim, Heon Man Lim, Mi Young Lee, Kwang-Ok Park, Kyoung A Lee; Journal of Korean Academy of Nursing 2013;43(1):20-29.
DOI: https://doi.org/10.4040/jkan.2013.43.1.20
Published online: February 28, 2013

¹College of Nursing, Eulji University, Daejeon, Korea.

²Department of Nursing, Chungbuk National University, Cheongju, Korea.

³Appenzeller School of Public Administration, Paichai University, Daejeon, Korea.

⁴Nursing Department, Eulji University Hospital, Daejeon, Korea.

⁵Department of Nursing, Sunchon National University, College of Life Science and Natural Resources, Sunchon, Korea.

⁶The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.

Address reprint requests to: Kim, Eun-Kyung. Department of Nursing, Chungbuk National University, 52 Naesudong-ro, Heungduk-gu, Cheongju Chungbuk 361-763, Korea. Tel: +82-43-249-1730, Fax: +82-43-249-1711, kyung11@chungbuk.ac.kr

• Received: April 20, 2012 • Accepted: September 18, 2012

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Abstract
NOTES
REFERENCES

Abstract

Purpose
The purpose of this study was to propose and test a predictive model that could explain and predict nursing productivity.
Methods
A survey using a structured questionnaire was conducted with 360 nurses in Korea. The data were analyzed using SPSS Windows 18.0 and AMOS 19.0 program.
Results
Based on the constructed model, burnout and organizational commitment were found to have direct effects on nurses' turnover intention and nursing productivity. While nursing work environment was found to have indirect effects on nurses' turnover intention and nursing productivity.
Conclusion
This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with nursing productivity. Comprehensive organizational interventions to improve nursing productivity should focus on improving the nursing work environment. Findings from this study can be used to design appropriate strategies to decrease nurse turnover in Korea. Further studies are needed to prospectively verify these causal relationships with larger samples.
Keywords: Efficiency organizational; Personnel turnover; Environment

This study was supported by Eulji University in 2010 (EJRG-10-002-11E36).

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Figure 1

Hypothetical model with parameter estimates for nursing productivity

Figure 2

Path diagram of the model.

Table 1

Pearson Coefficient Correlation for Measured Variables (N=360)

^*Correlation is significant at the 0.05 level (2-tailed); ^**Correlation is significant at the 0.01 level (2-tailed).

Table 2

Parameter Estimates and SMC of Modified Structural Model (N=360)

CR=Critical ratio; SMC=Squared multiple correlation.

Table 3

Effect of Predictor Variables in the Modified Model (N=360)

SMC=Squared multiple correlation.

^*p<.05; ^**p<.01.

Figure & Data

REFERENCES

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