• 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 Labour Economics
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• v.26 no.2
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• pp.1-30
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• 2003

The recent experience about self-employment shows three main trends: first, its share out of the total workers has steadily increased, recording 37.6% in 2001, implying its prevalence and importance; second, its share out of male workers has caught up female workers', implying its importance to males as well as females; and finally, during the recent Economic Crisis when there was mass layoff and large scale bankruptcy, its share rapidly increased, reflecting its role of a buffer to economic fluctuation. However, there have been few studies on self-employment, mainly focusing on what makes someone choose it as an alternative to being employed. This study analyzes the determinants of the duration to terminate self-employment, by applying the proportional hazard model to the Korea Labor and Income Panel Survey(KLIPS) by the Korea Labor Institute. The KLIPS started the first wave in 1998 with the 5,000 household sample (and about 12,000 individual sample of household members aged 15 and more). In this study, the first four waves are used for analysis. The average duration of 5,357 spells of self-employment is 130 months. It shows slight difference between males(124 months) and females(138 months) while it widely ranges over industries (296 months for agriculture industry while 50 months for restaurant and hotel industry). Estimates of the proportional hazard model of the self-employment duration show that females are more likely to terminate self-employment while it is not statistically significant. The effect of age at starting self-employment on the hazard shows the inverse V-shape, which implies that, until a certain age(47 years), the hazard become higher as aging while, since then, it become lower as aging. The level of education has a positive effect on the hazard, implying that more education is related to the higher probability to be employed. The measures of economic performances, annual sales and earnings, are positively related to continuing self-employment while hardship at the start of self-employment measured by several ways has a negative effect. Training before opening business has a positive effect on keeping on self-employment and its effects are different over its providers, significantly positive for public providers while insignificant for private providers. More and further research on self-employment is urgent in the rapidly ageing society. To help workers to be self-employed, more public assistance is necessary for education, training, financing, marketing, management, and human resource management in order to make the olders consider self-employment as a good alternative rather than an inevitable one.

• 한국과학교육학회:학술대회논문집
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• 2008.08a
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• pp.43-46
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• 2008

• Journal of Engineering Education Research
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• v.17 no.6
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• pp.3-11
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• 2014

This study investigated the effects of WIE(Women into Engineering) programs on women engineers' employment and career duration. For this study, the 91 female graduates with a degree in the field of engineering of K university who graduated from 2010 to 2013 were collected. The female graduates with a degree in the field of engineering of K university were divided into 4 groups-an employment group of relevant field of major, an employment group of irrelevant field of major, a group of graduate school, and a group of unemployment. The results were: first, the female graduates' program participation scores showed meaningful diversity according to the types of employment of female graduates with a degree in the field of engineering. Among the 4 types of employment of female graduates with a degree in the field of engineering, the group of graduate schoolers got the highest program participation scores, and the employment group of relevant field of major got the second scores, the group of unemployment got the third scores, and the employment group of irrelevant field of major got the last scores. Second, The female graduates' program participation scores showed meaningful diversity according to the career duration of female graduates with a degree in the field of engineering. The career duration in accordance with the program participation scores showed meaningful difference between the employment group of relevant field of major and the employment group of irrelevant field of major.

• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.281-288
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• 2006

Recently, information technology are rapidly diffused throughout the world. A new paradigm, 'telework' and 'distant education' is a product of the tremendous technological changes driving the disabled vocational rehabilitation. In the computer and information communication technology areas related with web-based telework-distant education, the disabled expect vocational rehabilitation. Therefore nowadays, the disabled effort to adapt to the new information era by web-based telework and distant education. This study attempts to suggest developmental framework of employment innovation model to vitalize the disabled vocational rehabilitation.

• Asian Journal of Innovation and Policy
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• v.5 no.1
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• pp.35-54
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• 2016

This study starts from the perspective that preparing students for employment is the most important role of undergraduate degree programs. Therefore, we examine the determinants of undergraduate employment, especially highlighting the differences by disciplines. We classify 28 factors into five categories such as personal attributes, entrance attributes, students’ employment-related activities, regular curriculum and employability programs provided by universities. This study is based on data from 7,616 students from a Korean university over four and half years. Findings reveal that university efforts are crucial in engineering. Only exchange programs and employment programs have an impact on science. There are no specific factors in humanities and social science. Grade point average and students’ efforts are important in business. Face-to-face coaching in employability support programs is effective for securing employment except in science disciplines. The study results do not point to the absence of a role of university even in the low employment disciplines. Rather, the issue is that of an over-supply of graduates exceeding job offers that results from the worldwide expansion of higher education services.

• Journal of the Korea Society of Computer and Information
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• v.20 no.12
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• pp.121-128
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• 2015

This study was to analyze the employment needs of people with disabilities used Internet Knowledge Search for their employment. The questions related to employment of people with disabilities used Naver's Knowledge-iN Search during the year of 2014 to the year of 2015 were analyzed. The results are the follows. First, people with intellectual disabilities, mental disorders and physical disabilities asked many questions related to employment. Second, most minor disabilities asked many questions related to employment than severe disabilities but exception for people with mental disorders. Third, their's questions related to employment had some different but various according to the types of disabilities. Fourth, their's expected occupation had some different but various according to the types of disabilities. Implications for employment activation of people with disabilities were proposed.

• 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.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.1-8
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• 2020

This study analyzes the effects of individual Competence on job-seeking activities and employment. For the sake of empirical study, we have used microdata public data provided by the National Statistics Office of Korea, which is composed of 731,852 people. Empirical results were obtained by applying structured equation model with using job-seeking activities as a mediating variable. Results showed that those three variables such as age, level of education, and specialty had a significant effect on job-seeking activities and employment. Especially, we found practical implication that regardless of gender, it becomes likelier that individuals can find jobs when their job-seeking periods are shorter. Also, level of education has positive effects to employment. The limitation is that these results are not associated to data which has the quality of employment and that they do not reflect the uniqueness of 2018. In this sense, job-seeking support education programs by local governments need to be designed out of this implication.

• International Journal of Human Ecology
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• v.13 no.2
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• pp.15-25
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• 2012

This study examined the parenting beliefs and the achievement pressure of Korean mothers with five to seven year old children. The maternal parenting beliefs criterion (Ahn, 2001) and achievement pressure criterion (Hong, 2001) have been applied to 212 mothers living in Seoul or Kyonggi-Do area and analyzed. The results showed that the maternal parenting beliefs were influenced by the child's gender, while the maternal achievement pressure was not. And significant difference was seen only in between the educational background and the maternal parenting beliefs, and the employment status and interaction effects were not shown.