Purpose
This study was done using quantile regression to identify the factors affecting nurses’ turnover intention. Methods: A sample of 163 nurses, who had worked in hospitals for more than 6 months, was recruited from two online nursing communities. Data were collected through self-report questionnaires, which included turnover intention, workplace bullying, empowerment, and sociodemographic and job characteristics. Collected data were analyzed using ANOVA, Kruskal-Wallis test, Mann-Whitney U test, Spearman correlation coefficients, and quantile regression. Results: The factors affecting turnover intentions by quantile were partially different, but the predicting factors over 50% quantile were workplace bullying (Q50, b=0.15, p=.002; Q75, b=0.10, p=.025; Q90, b=0.12, p=.012), structural empowerment (Q50, b=-0.64, p<.001; Q75, b=-0.55, p=.005) and experience in current unit (Q75, b=-0.04, p=.013; Q90: b=-0.05, p=.002). Conclusion: Different factors have an influence on nurses’ turnover intention level. Nursing organizations need to develop customized management strategies to address nurses' turnover intention levels based on policies that reduce workplace bullying and strengthen structural empowerment.

Citations

• Relationship between Ethical Climate, Workplace Bullying, and Turnover Intention of Hospital Nurses in Korea
  Mi-Aie Lee, Hyun Ju Park, Bonghwa Kim
  Journal of Korean Academy of Nursing Administration.2023; 29(4): 457.     CrossRef
• Relationship between a University Hospital Nurses’ Structural Empowerment and Quality of Nursing Work Life: Mediating Effect of Psychological Empowerment
  Eun Bee Baek, Sun Hyoung Bae
  Journal of Health Informatics and Statistics.2022; 47(2): 159.     CrossRef

Purpose
This study was done to identify the mediating effect of biomedical ethics awareness in the relationship between moral sensitivity and perceived ethical confidence among nursing students. Methods Participants were 211 nursing students from 7 universities in G city. A self-report questionnaire was used to measure moral sensitivity, biomedical ethics awareness, and perceived ethical confidence. The data were analyzed with descriptive statistics, Pearson correlation coefficient analysis, and multiple regression analysis using Baron and Kenny's method. Results Moral sensitivity was significantly positively correlated with biomedical ethics awareness (r=.52, p<.001) and perceived ethical confidence (r=.60, p<.001). Biomedical ethics awareness was also significantly correlated with perceived ethical confidence (r=.50, p<.001). Also, biomedical ethics awareness (β=.25, p<.001) showed a partial mediating effect on the relationship between moral sensitivity and perceived ethical confidence. Conclusion The impact of moral sensitivity on perceived ethical confidence in nursing students was mediated by biomedical ethics awareness. Therefore, it is suggest that strategies for improving biomedical ethics awareness in nursing students should be considered when developing an educational program for enhancing their perceived ethical confidence.

Citations

• Assessing the relationship between ethical reasoning confidence and self-esteem among female nursing students for enhancing the quality of work life: A cross-sectional study
  Shaherah Yousef Andargeery, Sally Mohammed Farghaly Abdelaliem
  Medicine.2024; 103(14): e37614.     CrossRef
• Mediating effect of moral sensitivity on the relationship between nursing professionalism and ethical decision-making confidence in nursing students
  Bae-Hwa Kang, Hye-Young Cho
  The Journal of Korean Academic Society of Nursing Education.2023; 29(2): 180.     CrossRef
• The impact of nursing students’ biomedical and artificial intelligence ethical awareness, ethical values, and professional self-concept on their ethical decision-making confidence
  Seungmi Park, Insun Jang
  The Journal of Korean Academic Society of Nursing Education.2023; 29(4): 371.     CrossRef

PURPOSE
This study was designed to identify creation of intellectual capital and factors influencing the creation of intellectual capital in hospital organizations.
METHODS
A cross-sectional design was used, with a convenience sample of 300 nurses from three general hospitals in Gwangju and South Cholla province. The tools used for this study were scales measuring creation of intellectual capital (8 items), social capital (20 items), knowledge management (8 items). Data was analyzed with descriptive statistics, Pearson's correlation coefficient and regression using the SPSS WIN 18.0 program.
RESULTS
There were significantly positive relationships between social capital and knowledge management with creation of intellectual capital. The mean score for creation of intellectual capital in hospital organizations was 4.59 points. Factors influencing creation of intellectual capital in hospital organization were identified as knowledge management (beta=.625), shared values & action (beta=.166), and participation in civic activities (beta=.118). These factors explained 59.3% of the variance in creation of intellectual capital in hospital organizations.
CONCLUSION
The results indicate which factors are major factors influencing creation of intellectual capital and therefore, serve as predictors of creation of intellectual capital in hospital organizations.