• Journal of Korean Academy of Nursing Administration
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• v.10 no.4
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• pp.459-472
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• 2004

This study was designed to investigate perception of job rotation and an organizational commitment of staff nurses working at K hospital and find the way of increasing an organizational commitment for the groundwork for efficient changes in the nursing staff. Data were collected from Aug. 20 to Aug. 28, 2004 through self reporting questionnaires taken by 318 nurses working at a hospital. The three structured instruments were used for collecting the data; Questionnaires for measuring the perception of job rotation, Questionnaires for measuring the utility and the problem of job rotation, and Mowday's Organizational Commitment Questionnaires. The Results were as follows : 1. 66.0% of 318 staff nurses approved of regular job rotation; 34.0% of them disapproved 34.3% of them wanted to get transferred to another department; 65.7% of them didn't. 2. Of general characteristics, age(F=17.469, P=.000), marital status(F=-2.781, P=.006), religion(F=5.688, P=.001), education level(F=8.816, P=.000), position(F=15.591, P=.000), a total clinical career(F=11.606 p=.000) and field in practice(F=4.206, P=.000) were significantly related to an organizational commitment. 3. There is relatively positive correlation between the perception of job rotation and an organizational commitment. In conclusion, the utility of on the job rotation and organizational commitment showed the positive correlation.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.231-241
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• 2021

This study intended to present strategies and implications for attracting new students and customized education to university officials through research on the participation of workers' academic aspirations in university education. Thus, variables were derived by analyzing prior data, and causal settings between variables and questionnaires were developed. Subject to the survey, 331 workers interested in participating in university education were collected through interpersonal interviews. The collected data were dataized, and reliability and feasibility verification and frequency analysis were conducted. Finally, we validate the fit of the structural equation model and the causal relationship for each concept. Therefore, the results of the validation show the following implications. First, university officials should be motivated by a mentor and mentee system with experienced people who have switched to a suitable vocational group through university education. It will also be necessary to develop and disseminate programs so that they can continue to develop themselves for the future. To this end, it will be necessary to help them understand their aptitude and strengths through consultation with experts. Second, university officials should strengthen public relations so that prospective students can know the cases and information of the job transformation of the admitted workers through recommendations. It will also be necessary to develop university education programs that can self-develop, accept various ideas through "public contest", and provide accurate information about university education to workers through re-processing. Third, university officials should provide workers with a program that allows them to catch two rabbits: job transformation and self-improvement through university education. In other words, it is necessary to stimulate the motivation of workers by providing various information such as visiting advanced overseas companies, obtaining various certificates, moving between departments of blue-collar and white-collar, and transfer opportunities. Fourth, university officials should actively promote university education programs related to this by participating in university education and receiving systematic education and the flow of social environment. Finally, university officials will need to consult and promote workers so that they can self-develop when they participate in college education, and they will have to figure out what they need for self-development through demand surveys and analysis.