| Jung Hee Han | 3 Articles |
PURPOSE
Medical institutions and their patients benefit from continued employment of nurses. In this study an assessment was done of important factors that influence nurses' intention to leaving their jobs. METHODS The sample consisted of 229 university hospital nurses. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheffé, Pearson's Correlation Analysis, and Hierarchical Multiple Regression. RESULTS The control variables, including age, current position, and health status explained 18% (F=16.37, p<.001) of variance in retention intention. The control variables, bullying, job stress, self-esteem, and burnout collectively explained 27% of variance in retention intention. CONCLUSION The findings indicate that the factors influencing retention intention are age, current position, and health status, while self-esteem and burnout in work places are new and more recent factors that impact retention intention. These findings can be utilized to develop strategies to increase self-esteem and retention intention. Citations Citations to this article as recorded by
PURPOSE
The purpose of this study was to identify factors related to the loyalty of Chinese customers who use Korean medical and tourism services. METHODS Participants were 158 Chinese who visited plastic surgery clinics in Korea. Data were analyzed using descriptive statistics, One-way ANOVA, Scheffe? test, Pearson Correlation and Hierachical Multiple Regression. RESULTS Medical service quality, tourism service quality and medical and service satisfaction were positively correlated with customer loyalty. Medical service quality and medical and tourism service satisfaction had significant influence on customer loyalty. The explained variance for customer loyalty was 84.9%. CONCLUSION These results suggest the need to improve the tourism service and medical and tourism service satisfaction to retain loyal customers. Citations Citations to this article as recorded by
PURPOSE
The purpose of this study was to identify the effects of bullying, negative affectivity and burnout in the nurses. METHODS The sample consisted of 389 nurses. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheffe, Pearson Correlation Analysis and Hierarchical Multiple Regression. RESULTS The control variables of age, marital status, education level, current position, health status and work unit explained 30.2%(F=28.9, p<.001) of variance in burnout. The control variables, bullying and negative affectivity collectively explained 49.7% of variance in burnout. CONCLUSION The results indicate that the demographic factors influencing burnout are age, education level, health status, work unit, while bullying and negative affectivity in the work places are factors that influence burnout. These findings can be utilized to develop strategies to reduce bullying and negative affectivity. Citations Citations to this article as recorded by
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