• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.542-552
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• 2019

This study aimed to analyze characteristics of employment and factors affecting of employment of person with Brain disorder. Participants were 317 individuals with brain disorders. Data were analyzed using Chi-square test, regression analyses. according to the Panel Survey of Employment for the Disabled in Korea. These factors were classified into disability and health factors, employment related factors, and household related factors. First, The employment group showed significantly severe disorder, higher health status, absent of daily life helper, absent of assistive devices, higher level education, licenses, public employment service, job arrangement of acquaintance, find a job oneself, married, absent of basic living security assistance, greater supports of family compared to the unemployed group. Second, Factors affecting employment of individuals with brain disorders included daily life helper, education level, job arrangement of acquaintance, married, basic living security assistance. Base on these results, developing dailylife and education system and social supported system and modifying the benefit system can promote employment acquisition of individuals with brain disorder.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.387-393
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• 2019

This study aimed to analyze characteristics of employment and factors affecting of employment of elderly with disabilities. Data were analyzed using chi-square tests, regression analyses according to the Panel Survey of Employment for the Disabled in Korea. Participants were 452 elderly with disabilities. First, The employment group showed significantly mild disorder, higher health status, absent of chronic disorder, licenses, absent of public employment service, married, absent of basic living security recipient, higher level of household income compared to the unemployed group. Second, Factors affecting employment of elderly with disabilities included public employment service, level of household income. And multi-person factors were acceptance of disabilities and one-person factors were basic living security recipient. Base on these results, suggested for obtaining job of elderly with disabilities.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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• pp.1-7
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• 2021

The number of new students at many domestic universities is declining. In particular, private universities, which are highly dependent on tuition, are experiencing a crisis of existence. Amid the declining school-age population, universities are striving to fill new students by improving the quality of education and increasing the student employment rate. Recently, there is an increasing number of cases of using the accumulated big data of universities to prepare measures to fill new students. A representative example of this is the analysis of factors that affect student employment. Existing employment-influencing factor analysis studies have applied quantitative models such as regression analysis to university big data. However, since the factors affecting employment differ by major, it is necessary to reflect this. In this paper, the factors affecting employment by major are analyzed using the data of University C and the decision tree model. In addition, based on the analysis results, a roadmap for student employment by major is recommended. As a result of the experiment, four decision tree models were constructed for each major, and factors affecting employment by major and roadmap were derived.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.27 no.4
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• pp.371-379
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• 2017

Objectives: The purpose of this study is to investigate the differences and the influencing factors of health habits such as smoking, drinking, and exercise on job stress among IT workers. Methods: A questionnaire was distributed to total of 300 people (30 persons per business place) at 10 IT work sites performing computer and information system tasks, and 275 data points were analyzed. The survey items were general characteristics, occupational characteristics, employment type, physical burden, amount of drinking, smoking, exercise, and job stress. Results: The results of this study are summarized as follows. First, non-regular workers showed higher smoking, exercise, and job stress than did regular workers by employment type, but exercise was not significant. Regular workers had a higher rate of drinking than non-regular workers. Second, the factors affecting alcohol drinking were gender and age, and factors affecting smoking were gender and employment type. Third, factors affecting job stress were annual income, long working hours, physical burden, and employment type. Conclusions: It is necessary to consider employment patterns in smoking, drinking, and job stress management. In addition, it is necessary to deeply analyze what affects the health behaviors and job stress of IT workers and explore ways to mitigate them.

• 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.

• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.329-339
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• 2005

Purpose: We wanted to examine the degree of employment stress that university seniors suffer and to find the factors affecting on this employment stress. Methods: The subjects were 250 university seniors in Seoul and Gyeonggido, and the data were gathered by using questionnaires that were administered from September to October in 2004. The data were analyzed with the SAS program by t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression. Results: The mean score of the respondents' total employment stress was 96.5 point out of 200. Their sub-factors of employment stress was 2.0 out of 4.0 for 'academic', 1.9 for 'personality', 2.1 for 'school environments' and 1.9 for 'home environments'. The degree of the seniors' employment stress from such things as their majors, their available jobs in the future, leaves of absence from school, the employment status, and the number of semesters within the leave was found to have significant differences. The major factors affecting on the employment stress were those related to personality stress and majors of the students, and these were 92.7% of the total stress. Conclusion: This study suggests the necessity of intervention or counseling with consideration being given to seniors' employment stress and the other symptoms like depression for improving the health of university seniors.

• 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.

• Journal of Engineering Education Research
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• v.27 no.1
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• pp.13-31
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• 2024

In recent times, STEM graduates are confronting a decline in employment rates influenced by economic, social, cultural, and policy-related factors. Career decisions are closely linked to education, college experiences, and university settings. To comprehend the reasons behind the decline in STEM employment, it is essential to explore the relationships among these factors. This study aims to comprehensively examine differences in career motivation and career exploration behavior among 2,393 STEM undergraduates in Korea. Additionally, factors affecting career motivation and career exploration behavior were investigated. The findings indicate significant differences in perceived career motivation and career exploration behavior based on individual backgrounds and university characteristics. And analyzing the data, 37.8% of career motivation is explained by contextual supports, career barriers, individual backgrounds (grade, GPA), university characteristics (major fields, location), field to enter after graduation, and timing of job preparation. For career exploration behavior, 30.1% is explained by contextual supports, career barriers, individual backgrounds (gender, grade, GPA), university characteristics (major field, location), field to enter after graduation, and timing of job preparation. Practical implications underscore the need for tailored educational and policy support, considering individual backgrounds and university characteristics, to effectively address challenges faced by STEM graduates in the evolving employment landscape.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.104-121
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• 2016

This study was conducted in order to investigate the factors affecting the elderly employment and especially focused on the factor of their residential areas. This paper performs binary logistic regression analysis with the micro data of 2014 Survey of Living Conditions and Welfare Needs of Older Koreans. To reveal the influence on the elderly employment, various dependent variables was used such as demographical, health, household, economic, lifelong job, living environment, and residential area characteristics. The elderly in rural areas have higher possibility of currently working than those in urban areas. Based on the results, more various and complex factors affected on the employment of the urban elderly. This suggested that differentiated policy supports were needed in the urban and rural areas.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.2
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• pp.115-120
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• 2015

This study applied a cox proportional hazard model for analysis, using data of the Panel Survey of Employment for the Disable from the first to fifth years. The purpose of the study is to make a policy suggestion necessary for the support of employment for the disabled, by analyzing important factors affecting employment of the unemployed disabled according to the unemployment period. Results of the analysis were: a model that considered all the sociodemographic, obstructive and social environmental factors was verified; the higher subjective SES of the disabled, the higher employment rate of the unemployed disabled; compared to the severely disabled, the slightly disabled had more advantages for employment; and relatively the lower unearned income, the higher employment rate. This study suggested based on these results limitations and implications of the study.