• Journal of Korean Academy of Nursing Administration
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• v.14 no.1
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• pp.35-44
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• 2008

Purpose: This study was done to identify the risk factors influencing turnover intention of nurses. Method: The participants in this descriptive survey on causal relations were 756 nurses who were working at a tertiary university hospital in Seoul. The data were put in to multiple regression analysis to build a prediction model. Results: Turnover intention according to general features were shown as following.: Age, Clinical careers, Educational level, Marital status, Economic status(Yearly income). The relationship between turnover intention and job stress had positive correlation. But the relationship between turnover and other factors that job satisfaction, internal marketing, and organizational commitment had negative correlation. The causal factors of turnover intention were organizational commitment, the factors of organizational support and patient/caregiver relationships among subcategories of job stress and the factor of professional position among subcategories of job satisfaction. Conclusions: The findings of study suggest that board intervention program should be provided to prevent problems of turnover. It is also recommended that a program be developed that can help control the variables identified in this study along with follow up study to verify the model.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.58-67
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• 2019

The purpose of this study was to examine the relationship between sleep disorders, job satisfaction, health promotion behavior, quality of life, turnover intention. And also to find the predicting factors on turnover intention of shift and non-shift nurses. A descriptive study design was used. Study subjects were 239 nurses worked as a shift (167) and non-shift (72) in two general hospitals in P city. Turnover Intent, Sleep disorders, Job satisfaction, practicing health promotion profile and quality of life scales were used to collect the data. Data were analyzed by descriptive statistics and Pearson's correlation coefficient for find the relationship between study variables. Stepwise multiple regressions used to find predicting factors of turnover intention with other variables. The shift group showed lower Job satisfaction, practice of health promotion behavior and intention of turnover than non-shift nurses. The most important predictive factors of turnover intention in of shift group was job satisfaction (β =-. 477, p <.001) and non-shift group was health promotion behavior (β =-. 295, p = .040) than other factors. Findings showed that turnover intention highly influenced by job satisfaction than health promoting behavior and quality of life. This study suggests organizational efforts to provide sufficient staffing and nurse managersshould make more concentration to allot work schedule in order to avoid over load shift nurses and promote quality of client care.

• Child Health Nursing Research
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• v.22 no.1
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• pp.37-44
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• 2016

Purpose: The purpose of this study was to investigate factors affecting turnover intention in pediatric nurses. Methods: A survey was conducted with 212 nurses working in pediatric units at 15 hospitals in Busan, K city. Data were collected from September 1 to October 31, 2014. and analyzed with SPSS PASW 18.0. Results: In Stepwise multiple regression analysis, factors affecting the nurses' turnover intention were emotional burnout (${\beta}$ =.37, p<.001), relationship between nurse and doctor (${\beta}$ =.20, p<.001), turnover plan (${\beta}$ =.17, p<.001), and annual salary (${\beta}$ =-.13, p<.001), and these variables accounted for 32.2% of the variance in turnover intention. Conclusion: The findings indicate that the major factors influencing pediatric nurses' turnover intention are emotional burnout, cooperative relationship between nurse and doctor, turnover plan, and annual salary. Thus, in order to reduce pediatric nurses' turnover intention, it is necessary to develop intervention programs to prevent emotional burnout, the most influencing factor, and enhance cooperative relationship between nurse and doctor and to examine their effects.

• Journal of Information Technology Services
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• v.16 no.1
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• pp.1-26
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• 2017

Keeping good, talented people is one of the most significant factors in a company's success. HR analytics is an important area for applying big data analysis techniques to human resources. It provides organizational insight that enables effective management of employees, allowing management to reach their business goals quickly and efficiently. Job satisfaction and employee turnover analysis are the keys to HR analytics. Job review web services have been becoming popular. Because people exchange information about job satisfaction and turnover through these web services, useful information about HR Analytics is accumulated on the job review web sites. In this paper, we identified factors of employee retention by analyzing a Job Satisfaction/Retention group, and the factors of employee turnover by analyzing a Job Unsatisfaction/Turnover group. In order to do this, we first classified employees according to whether their self-reported job satisfaction or turnover was true. We collected and analyzed data from Jobplanet, a popular job review site. Through dominance analysis and LDA topic modeling, we found major factors, topics, and keywords of the classified groups by IT, service, and manufacturing domains. Our approach is a novel model to apply the analysis of reviews and text mining to the HR domain, and it will be practically helpful for setting new strategies that improve job satisfaction.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.5
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• pp.576-586
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• 2014

Purpose: The purpose of this study was to investigate the factors influencing nurse turnover intention in small and medium sized hospitals in the metropolitan area. Methods: A cross-sectional survey design was used. A questionnaire was distributed to the nurses in small and medium sized hospitals. The data of 209 nurses was analyzed using t-test, ANOVA, Pearson correlation coefficient and multiple regression. Results: Organizational commitment and age were identified as factors influencing turnover intention. These factors explained 56.8% of variance of turnover intention. Conclusion: Results suggest that establishment of organizational commitment needs to be discussed and continuously developed. Further study is also necessary to identify the key mechanism in nurse turnover intention.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.67-78
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• 2017

Objectives : This study investigated the fatigue, emotional labor and job embeddedness factors influencing the turnover intention of clinical nurses. Methods : A survey was conducted with 479 hospital nurses. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation coefficients. and multiple regression with SPSS/WIN 23.0. Results : The mean scores fatigue, emotional labor, job embeddedness. and turnover intention were $3.06{\pm}0.71$, $3.43{\pm}0.60$, $2.94{\pm}0.47$, and $3.39{\pm}0.62$, respectively. Turnover intention was positively correlated with fatigue and emotional labor, but negatively correlated with job embeddedness. Multiple regression analysis showed that the factors affecting turnover intention were job embeddedness, emotional labor, gender, and with studying. Conclusions : The results indicate that emotional labor and job embeddedness are very important factors affecting nurses turnover intention. Therefore nurse managers should decrease nurses emotional labor and maximize their job embeddedness by developing various emotional sensitivity and support programs.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.4
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• pp.507-516
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• 2010

Purpose: The purposes of this study were to understand the general hospital nurses' work stress, burn out and turnover intention and to identify the factors that influence on turnover intention. Methods: This study was conducted through a survey of 283 nurses having at least 6 months of work experience of 4 general hospitals in Seoul. Data were collected from September to October 2009. The data were analyzed using descriptive statistics, ANOVA, and stepwise multiple regression test with SPSS WIN 14.0. Results: The score for turnover intention was 3.57 out of 5. Turnover intention was significantly correlated with work stress, burn out, and working position. The factors influencing turnover intention were organizational system, depersonalization, physical environment, work position, and occupational climate. The predict variables accounted for 27.9% of turnover intention. Conclusion: The results of this study show that factors influencing turnover intention are organizational system, depersonalization, physical environment, work position, and organizational climate. Therefore, nursing managers should understand the organization's climate and establish a reasonable organization system to decrease turnover intention.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.2
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• pp.155-165
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• 2012

Purpose: This study was done to examine the relationships among practice environment, nursing professionalism, career commitment, and turnover intention in nurses working in small-medium sized hospitals. Method: This study utilized a descriptive correlational design. Data were collected using structured questionnaires from 362 nurses in 7 small-medium sized hospitals and analyzed with SPSS 18.0. Result: The mean scores for practice environment, nursing professionalism, career commitment, and turnover intention were 2.29 on a 4-point scale and 3.13, 2.78, 3.51 on a 5-point scale, respectively. The practice environment showed significantly positive correlations with nursing professionalism and career commitment. Nursing professionalism showed a significantly positive correlation with career commitment. The highest significant negative correlation was between practice environment and turnover intention. Nursing professionalism and career commitment had negative correlations with turnover intention. Factors having significant influence on turnover intention included age, assigned ward, average wage, practice environment, and career commitment. These factors explained 43.0% of variance in turnover intention. Practice environment was identified as the most important variable in explaining turnover intention. Conclusions: The results of this study demonstrate the necessity of improving the practice environment and increasing nurses' career commitment if turnover intention in small-medium sized hospitals is to be lowered.

• Korean Journal of Occupational Health Nursing
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• v.25 no.3
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• pp.156-167
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• 2016

Purpose: This study was a descriptive research to investigate the factors influencing nurses' turnover intention of Senior Convalescence hospitals in the metropolitan area. Methods: A cross-sectional survey design was used. A questionnaire was distributed to the nurses in Senior Convalescence hospitals. The data of 210 nurses were analyzed using the descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and multiple regression. Results: Turnover intention was significantly correlated with professionalism, job involvement, organizational commitment, job stress, practice environment. Organizational commitment, job stress, age, and practice environment were identified as factors influencing turnover intention. These factors explained 53.3% of variance of turnover intention. Conclusion: The results suggest that strategies to decrease turnover intention should be discussed and continued to develop ways to establish organizational commitment, to lower job stress levels and to improve practice environment of nursing work. And further study is needed to identify the key mechanism in nurses' turnover intention of Senior Convalescence hospitals.

• Journal of Korean Academy of Nursing Administration
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• v.19 no.3
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• pp.361-371
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• 2013

Purpose: This study was done to investigate the factors affecting organizational commitment and turnover intention of hospital nurses. Empirical analysis on the mediating effect of the person-environment fit of organizational commitment and turnover intention and factors affecting this relationship were also examined. Methods: Participants were nurses working in 4 university hospitals in Seoul or Busan. Data were collected between July 27 and Aug. 10, 2012 and for the final analysis, 393 data sets were used. The fitness of models were tested using AMOS 19.0. Results: The fitness of the modified model showed high compatibility with the empirical data. In the modified model, organizational climate, professional self-concepts and person-organization fit were found to have significant effects on hospital nurses' organizational commitment. Professional self-concepts, personality, person-organization fit and person-job fit significantly affected hospital nurses' turnover intention. There was the mediating effect of person-organization fit between organizational commitment and turnover intention and factors affecting the relationship. But person-job fit was not found to have a mediating effect. Organizational commitment accounted for 49.8% and turnover intention for 39.9% of covariance in these factors. Conclusion: Nursing strategy for enhancing professional self-concepts and person-organizational fit should be planned by nursing managers.