Professionalism was the most important factor influencing job satisfaction in both Korean and Chinese nurses. Enhancing nursing professionalism is recommended as a common strategy to improve nurses' job retention across different healthcare systems.

Purpose: The purpose of this study was to propose and test a predictive model that could explain and predict Korean nurses' turnover intentions. Methods: A survey using a structured questionnaire was conducted with 445 nurses in Korea. Six instruments were used in this model. The data were analyzed using SPSS 15.0 and Amos 7.0 program. Results: Based on the constructed model, organizational commitment, and burnout were found to have a significant direct effect on turnover intention of nurses. In addition, factors such as empowerment, job satisfaction, and organizational commitment were found to indirectly affect turnover intention of nurse. The final modified model yielded χ ²= 402.30, p< .001), χ ²/df= 2.94, RMSEA= 0.07, RMR= 0.03, GFI= 0.90, AGF= 0.87, NFI= 0.88, CFI= 0.92 and good fit indices. Conclusion: This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with turnover intention in Korean nurses. Findings from this study can be used to design appropriate strategies to further decrease the nurses' turnover intention in Korea.

Purpose:The study was done to identify turnover intention in new nurses according to characteristics of the nurses and other factors affecting turnover and to provide data to set up a strategy to reduce the turnover. Methods: Data were collected from 1,077 new nurses who had less than 12 months employment experience and worked in one of 188 hospitals. Eight research instruments were used. Data analysis was done using SPSS WIN 15.0 program. Results: Several factors influence new nurse turnover intention. The average score for turnover intention was 2.12. The scores for subscales were self efficacy, 3.76, nursing performance, 3.90, job satisfaction, 2.09, organization commitment, 1.28, stress, 1.32, burnout, 2.82 and nursing organizational culture, 3.29. Turnover intention was related to self efficacy, nursing performance, job satisfaction, organization commitment, stress, burnout, nursing organizational culture, duration of in-class training, duration of on the job training, number of hospital beds, length of employment and duration of employment in current workplace. The predicting factors for turnover intention were burnout, stress, duration of employment in the current workplace, self efficacy and nursing performance. Those factors explained 51.6% of turnover intention. Conclusion: New nurse turnover intention can be reduced by mitigating the factors affecting this intention.

The purpose of this study was to explain how perceived ability affects users' acceptance of online health information in Korea. Data were collected by a Web-based survey, and, in total, 449 samples were used for final analysis. The hypothetical model of this study was based on the Technology Acceptance Model. A structural equation modeling was used to evaluate the relationship between the included variables. The final model with appropriate relations exhibited an adequate fit to the data. This study provides evidence that perceived ease of use, perceived usefulness, and perceived credibility significantly affect how individuals use health information from the Internet. The subjective health knowledge and Internet efficacy exerted strong indirect effects on users' attitude and intention to use the online health information via the mediators of perceived ease of use, perceived usefulness, and perceived credibility. This study supports the hypothesis that the perceived ability of users is related to their acceptance of online health information. Users' perceived ability, including subjective health knowledge and Internet efficacy, was confirmed as a prerequisite for their health information use on the Internet. The results demonstrated that perceived ease of use, perceived usefulness, and perceived credibility are substantive mediators. Future research should consider a wider array of characteristics of health information and users and incorporate these characteristics for the provision of more useful, user-centered health information.