• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.310-323
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• 2017

The purpose of this study is to provide necessary data and information in order to support economic activity of career interrupted woman by analysis the differences between seeking work need on individual characteristic and re-employment need of job-seeking activities. This study includes the result of reviewing a prospective study and an enpinical analysis based on the theoretical background of career interrupted woman, vocational education, individual characteristic and re-employment need to achieve its goal. The collected data from 150 career interrupted women who had a vocational education was analyzed by one-way analysis of variance, T-verification and SPSS 12.0v program. In summary of this study, re-employment need would be different by individual characteristic, seeking work need and job-seeking activities. It shows that the method of re-employment should be provided as considering the individual characteristic of career interrupted woman. Therefore, this study suggests the necessity of suited education and improved system for individual characteristic of career interrupted woman.

• Journal of dental hygiene science
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• v.10 no.1
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• pp.31-38
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• 2010

With the change into knowledge-based society and infinite competition, sharp employment competition causes anxiety about their own future among college students going into society, consequently making their employment one of the greatest social problems. As schemes of improving the employment rate for seniors at the department of health science, department professors are required to reinforce employment-related interviews as a provider of information about employment and colleges need to set and implement a specific support plan, for example, by encouraging trips for employment guidance at diverse regions. As an effort for qualitative improvement, colleges are required to develop an employment-based curriculum and support basic employment preparations and academic advisers need to serve as a guide specializing in employment as well as an employment-related information provider.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.89-96
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• 2024

This study confirmed the effect of the employment support program on college students' grit and employment preparation behavior, and confirmed the post-program experience, change, and need for employment support. Data from a total of 39 people who participated in the employment support program were analyzed. The employment support program was conducted for 8 weeks starting August 29, 2022. A survey were conducted before and after the program, and interviews were conducted with 8 people afterwards. Descriptive statistics and t-test were used for data analysis, and interview content was analyzed. As a result of the study, the participants' employment preparation behavior significantly increased after the employment support program was implemented. Also, the employment support program helped prepare for realistic employment and set a direction, and improved confidence in employment. Therefore, expansion of employment support programs and customized employment support to improve college students' employment capabilities are necessary.

• KDI Journal of Economic Policy
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• v.24 no.1
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• pp.45-112
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• 2002

Enhancing labor market flexibility is currently posted as one of the major economic policy objectives in Korea. However, the labor market effects of specific policies to achieve it have not been sufficiently investigated. This paper takes up the issue of employment protection deregulation and surveys and empirically analyzes its policy effects. Academic researches generally confirm that deregulation tends to promote labor turnover and employment of the disadvantaged groups such as the youth and female by raising the overall efficiency of the economy, but its effects on unemployment is not clear. In the Korean labor market, both job creation and destruction, and labor mobility have increased after the economic crisis of 1998, but they can not be seen as deregulation effects as the changes are confined to the temporary and daily employment whose labor markets are least regulated whereas the regular employment market remains virtally unchanged. Such results suggest that labor market deregulation need to be pursued consistently as a policy goal since the labor demand condition shift and the need for expanding regular employment necessitates it, for which detailed policy agenda for removing market inefficiencies should be carefully arranged.

• Journal of Korean society of Dental Hygiene
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• v.10 no.4
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• pp.663-670
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• 2010

Objectives : The purpose of this study is to measure employment stress of health college students and to consider a proper means for the solution. Methods : The population of the research is some randomly chosen health college students located in Seoul City during the period from May 10 to June 11 2010, and the sample of 295 students were recruited as the analysis object group. The data on general characteristics and employment stress were collected by a questionnaire survey. The collected data were analyzed with the SPSS WIN 12.0 program. The following shows the results of this study. Results : 1. Mean scores of employment stress in female students were significantly higher than those in male(p<0.01). 2. Employment stress level was significantly higher in low group of home economy, competence for a schoolwork, personal relations, satisfaction in campus life. 3. In regression analysis, home economy, competence for a schoolwork, satisfaction in campus life were proved as significant factors that is related to the employment stress(p<0.01). In other words, It is significant statistically that the lower home economy, competence for a schoolwork, satisfaction in campus life, the higher employment stress level (p<0.05). Conclusions : I suggest with the result of the study that for coping effectively employment stress of health college students, we will need to open an exclusive employment counsel window for better administration welfare service in campus. Because of students are independent responsibility of employment, active effort must take precedence in order for the solution of problem by themselves. Also, we will need to create better academic environment and show more concern, consideration, love in family.

• Korean Journal of Occupational Health Nursing
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• v.18 no.2
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• pp.252-261
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• 2009

Purpose: The purpose of this study was to determine factors affecting the burden on employment of occupational health care providers as well as to develop strategies to reduce burden on employment of them in the middle size manufacturing enterprises. Methods: The target population of this study was 123 managers working in the middle size manufacturing enterprises. The study questionnaires were selected, as theories and literature suggested, for explaining employment burden, general characteristics of participants and occupational health providers, general characteristics of companies, evaluation of occupational health provider's role and burden score. Results: The mean of employment burden score of manager was 2.2. There was a significant difference in the employment burden scores, manager's age and education, and occupational health provider's age, type of work, certification, and employment status. Also there was a negative relationship between employment burden scores and occupational health provider's role scores (need, role, satisfaction, and benefit). In the results of the standard multiple regression analysis, manager's need scores on occupational health providers were significant predictors of the employment burden scores. Conclusion: It is necessary to change the manager's perception to promote employment of occupational health providers.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.203-209
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• 2018

This study analyzed the employment efficiency of Korean colleges and universities using DEA(2015 GOMS), which was surveyed by the Ministry of Employment and Labor and the Korea Employment Information Service. The input variables were employment program participants, language educators, family economic applicants, and employment targets. As a result, the college was more efficient than the college and the college was relatively ineffective. The contribution of input and output contributed the highest efficiency with 99.9% of the participants in the employment program, and the possibility of improving the efficiency of the language educator was the highest at 70.04. Based on the results of the above research, it suggests the necessity of activation of employment programs and activation of language training in each university. Future studies will need to study the efficiency of universities nationwide.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.397-408
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• 2007

Recently, The employment for the disabled vocational rehabilitation is to be a hot issue. and there is many of the proposal how to ways. But many of the disabled vocational rehabilitation is not employed and then, first of all, we have a survey about. The employment for the disabled vocational rehabilitation on chonan city of korea. And we got that. The side of company and the side of the disabled vocational rehabilitation have a many problem for the employ. and there is the need of education for employ. We want to propose to good idea good condition employment for the disabled vocational rehabilitation. With the relation program with employment and education for the disabled vocational rehabilitation, they get a good condition jog. This proposal is to be the base study for the disabled vocational rehabilitation with the employment. This study attempts to suggest developmental framework of employment innovation model to vitalize the disabled vocational rehabilitation.

• Journal of Engineering Education Research
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• v.16 no.3
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• pp.69-78
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• 2013

This study investigated various attributes that contributed to successful employment in order to develop employment support programs, especially for female engineering students. We surveyed engineering students who graduated between 2006 and 2011. The 401 employed graduates participated in an online survey. The surveys inquired about their attachment towards their major, participation in various academic and non-academic activities, and their participation's contribution to their successful employment. In regards to their majors, women, in general, had lower levels of satisfaction, confidence, attachment, and motivation to succeed in their fields when compared to their male counterparts. These results show that engineering colleges still need to work on empowering female engineering students to gain confidence in their engineering major and attachment. The graduate school experience was highly rated by both men and women, whereas double majors exhibited somewhat lower scores. Among academic activities, part-time work experience and major-related internships were rated as the most helpful, and among extracurricular activities, study-abroad for language training and participation in student council or clubs received high scores. There was little difference between men and women in study-abroad participation, and women participated more actively in student councils. However, women had much less major-related work experience, reaffirming that colleges need to expand internship and field experience programs for female students.

• Korea Trade Review
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• v.46 no.2
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• pp.281-299
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• 2021

This paper analyzes the feasibility of using machine learning methods to forecast the employment. The machine learning methods, such as decision tree, artificial neural network, and ensemble models such as random forest and gradient boosting regression tree were used to forecast the employment in Busan regional economy. The following were the main findings of the comparison of their predictive abilities. First, the forecasting power of machine learning methods can predict the employment well. Second, the forecasting values for the employment by decision tree models appeared somewhat differently according to the depth of decision trees. Third, the predictive power of artificial neural network model, however, does not show the high predictive power. Fourth, the ensemble models such as random forest and gradient boosting regression tree model show the higher predictive power. Thus, since the machine learning method can accurately predict the employment, we need to improve the accuracy of forecasting employment with the use of machine learning methods.