Journal List > J Korean Acad Nurs Adm > v.21(5) > 1051831

Kim and Kang: Effects of Self-efficacy, Career Plateau, Job Embeddedness, and Organizational Commitment on the Turnover Intention of Nurses

Abstract

Purpose

This study was designed to construct a structural equation model and identify the effects and relationships of self-efficacy, career plateau, job embeddedness, organizational commitment and intent to turnover for nurses. Also, an attempt was made to derive a hypothetical model from these factors and to verify whether the model has validity as a means of explaining and anticipating turnover intention of nurses.

Methods

Data were collected from six randomly selected hospitals: a university hospital located in J city, Kyungnam and five general hospitals located in two cities (cities B and C), each having 400 to 720 beds. Also, 318 nurses were surveyed. Data were analyzed using SPSS 21.0 and AMOS 18.0 program.

Results

Job embeddedness and organizational commitment were identified as the most likely paths to turn over intention. Also, organizational commitment had the highest direct effect on turnover intention followed by job embeddedness and then self-efficacy, but career plateau had an indirectly effected turnover intention.

Conclusion

As turnover intention was found to be greatly affected by organizational commitment and job embeddedness, methods to improve organizational commitment and job embeddedness should be actively developed to reduce turnover intention among nurses.

Figures and Tables

Figure 1

Path diagram of the modified model.

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Table 1

General Characteristics of Participating Nurses (N=318)

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Table 2

Fitness of Measured Model

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Qs=Question; GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; RMR=Root mean square residual; RMSEA=Root mean square error of appooximation; CFI=Comparative fit index; NFI=Normed fit index; TLI=Tucker lewis index.

Table 3

Correlation Analysis between Measured Variables

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Table 4

Effect Analysis of Modification Model

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SC=Standardized coefficients; SMC=Squared multiple correlations.

Notes

This article is a revision of the first author's doctoral dissertation from International University of Korea.

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