• Survey Research
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• v.12 no.1
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• pp.119-139
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• 2011

This paper analyzes the effects of college students' preparing for government official recruitment exams on their employment and job characteristics. To this end, Graduates Occupational Mobility Survey(GOMS) data were used. The main results of this study are summarized as follows. (1) college students preparing for the exams extend their college enrollment period; (2) college students preparing for the exams delay their employment; (3) college students preparing for the exams lower their wages and job satisfactions if they are employed in private sectors. In general, these results are consistent with common concerns. However, the sizes of the effects are less than common concerns.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.679-695
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• 2017

This paper analyzed the effect of job search channels on the occupational adaptation of college graduates, with the Graduates Occupational Mobility Survey(GOMS) data. The analysis results are as follows: First, when using human networks for getting jobs, not only the educational level and major adequacy, but also the workplace satisfaction and the job satisfaction were higher than when using non-human networks. Second, as in the mediating effect of the relationship between job search channels and occupational adaptation by Sobel-test, it was found that there was a partial mediating effect of educational level and major adequacy, excluding skill level adequacy. The results of this study shows that human networks, by serving as an effective information transmitter on person-job fit between job search and recruitment, contribute significantly to improve occupational adaptation of college graduates. These results imply that strategic utilization of human networks in job search activities is important, and that it is necessary that career-related programs in the universities or the employment service institutions systematically include the importance and methods of using human networks.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.959-975
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• 2012

Each year research institutions such as the Korea Employment Information Service(KEIS), a government institution established for the advancement of employment support services, and Job Korea, a popular Korean job website, announce first job waiting times after college graduation. This provides useful information understand and resolve youth unemployment problems. However, previous reports deal with the time as a completely observed one and are not appropriate. This paper proposes a new study on first job waiting times after college graduation set to 4 months prior to graduation. In Korea, most college students hunt for jobs before college graduation in addition, the full-fledged job markets also open before graduation. In this case the exact waiting time of college graduates can be right-censored. We apply a Cox proportional hazards model to evaluate the associations between first job waiting times and risk factors. A real example is based on the 2008 Graduates Occupational Mobility Survey(GOMS).

• Communications for Statistical Applications and Methods
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• v.15 no.6
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• pp.859-873
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• 2008

Job satisfaction impacts on the turnover intention of employee, which affects the turnover behavior. This paper concerns with the impact of job satisfaction on the turn over behavior. Since turnover intention is highly correlated with job satisfaction, salary, employment status and etc, we should pay careful attention for modelling of those variables as independent variables and the turnover behavior as a dependent variable in the empirical study for the impact of factors on turnover behavior. We detect significant variables which effect the turnover behavior using 2-stage logistic regression inserting the turnover intention, an independent variable, with the chance estimates derived from the instrumental variables in Graduates Occupational Mobility Survey.

• The Korean Journal of Applied Statistics
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• v.23 no.2
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• pp.235-247
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• 2010

In this paper it is investigated how the number of work experiences is distributed among college graduates who have ever entered the labor market and built up career by turnover. To do so, we classified the type of work experience and, moreover, conduct ANOVA to explore wage differentials caused by the number of work experience and by the type of work experience, using the GOMS(graduates occupational mobility survey) from 2006 to 2007.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.177-192
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• 2023

The employment rate of university graduates has been decreasing significantly recently. With the advent of the Fourth Industrial Revolution, the demand for software employment has increased. It is necessary to analyze the factors for software employment of university graduates. This paper proposes explainable software employment model of university graduates using machine learning and explainable AI. The Graduates Occupational Mobility Survey(GOMS) provided by the Korea Employment Information Service is used. The employment model uses boosting machine learning. Then, performance evaluation is performed with four algorithms of boosting model. Moreover, it explains the factors affecting the employment using SHAP. The results indicates that the top 3 factors are major, employment goal setting semester, and vocational education and training.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.1
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• pp.101-109
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• 2023

Fifteen years have passed since the enactment of the Industrial Technology Innovation Promotion Act, which promoted industry cooperation activities for universities. Therefore, the study analyzes the relationship between the university's industrial cooperation activities and the college graduates' starting salaries and provides policy suggestions on improving the direction of university-industry cooperation. The study used nine-year panel data from Graduates Occupational Mobility Survey (GOMS) to conduct an empirical analysis and found that starting salaries of college graduates were not significantly higher if the university only participated in basic industry cooperation activities. On the other hand, when the quality of university-industry cooperation activities was higher, such as job search support, the starting salary of college graduates was higher. The findings suggest that university-industry cooperation activities must focus on qualitative performances rather than quantitative approaches.

• Journal of Fashion Business
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• v.19 no.3
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• pp.73-87
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• 2015

The purpose of this study is 1) to compare the employment status and wage level of "Clothing and Fashion" major (CF major) graduates with those from other majors and 2) to examine factors affecting the employment status and wage level of CF major university graduates. The data were pooled from the 2009-2012 Graduates Occupational Mobility Survey Data, conducted by Korea Employment Information Service. First, when graduates of CF major were compared with other majors in the same academic area-natural science and arts-, the rate of employment was higher for CF majors than that of other majors; on the other hand, there is no difference in the wage levels between those with graduates in CF majors and those with other majors. Second, we examined factors affecting CF major graduates' employment and wage level based on graduates' individual factors, university factor, and job preparation factors. Employment status of graduates in CF major was predicted by respondent's gender and university type, and work experience. The wage level of CF major graduates was significantly predicted by individual factors (e.g., gender and age, university factors (e.g., university type, university program, location), and job preparation factors (e.g., certificates, overseas experience of foreign language training, English test scores). The results of this study would provide a guide to direct university educational program in order to assess the current capabilities in the field of clothing and fashion.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.3
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• pp.353-362
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• 2017

Purpose: This study aimed to analyze the mobility of newly graduated nurses from regions where their nursing schools were located to regions where they took up their first jobs, and to identify factors influencing nurses' mobility. Methods: Data from the Graduates Occupational Mobility Survey, collected annually from 2010 to 2014 by the Korea Employment Information Service, were analyzed. The sample consisted of 1,488 graduates and 1,229 nurses who were employed on a full-time basis in hospitals. Multiple logistic regression analysis was conducted to identify factors associated with geographic mobility. Results: Among the nurses working in hospitals, 69.2% had their first jobs in their nursing school regions and 11.3% in their high school regions. Fifty-two percent of the nurses worked in the capital region; 47.2% thereof had moved from a non-capital region. Nurses were more likely to work in their nursing school region when they were female, were older, graduated from a high school located in their nursing school region, graduated from a college (vs. university), had a lower nursing school performance, and expected lower monthly wage, compared with those who left their nursing school region. Conclusion: Education and remuneration policies are required to reduce geographical mobility to the capital region.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.1
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• pp.31-45
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• 2024

The purpose of this study is to explain employment factors in the software field. For it, the Graduates Occupational Mobility Survey by the Korea employment information service is used. This paper proposes employment models in the software field using machine learning. Then, it explains employment factors of the models using explainable artificial intelligence. The models focus on both university graduates and vocational college graduates. Our works explain and interpret both black box model and glass box model. The SHAP and EBM explanation are used to interpret black box model and glass box model, respectively. The results describes that positive employment impact factors are major, vocational education and training, employment preparation setting semester, and intern experience in the employment models. This study provides a job preparation guide to universitiy and vocational college students that want to work in software field.