• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.61-74
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• 2022

Recently, youth unemployment, especially the unemployment problem of university graduates, has emerged as a social problem. Unemployment of university graduates is both a pan-national issue and a university-level issue, and each university is making many efforts to increase the employment rate of graduates. In this study, we present a model that predicts employment availability of D-university graduates by utilizing Machine Learning. The variables used were analyzed using up to 138 personal information, admission information, bachelor's information, etc., but in order to reflect them in the future curriculum, only the data after admission works effectively, so by department / student. The proposal was limited to the recommended ability to improve the separate employment rate. In other words, since admission grades are indicators that cannot be improved due to individual efforts after enrollment, they were used to improve the degree of prediction of employment rate. In this research, we implemented a employment prediction model through analysis of the core ability of D-University, which reflects the university's philosophy, goals, human resources awards, etc., and machined the impact of the introduction of a new core ability prediction model on actual employment. Use learning to evaluate. Carried out. It is significant to establish a basis for improving the employment rate by applying the results of future research to the establishment of curriculums by department and guidance for student careers.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.141-148
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• 2023

The purpose of this study is to investigate the impact of college education satisfaction on the employment preparation and social participation of young adults during the pandemic period. To accomplish this research purpose, the researcher used the panel data of Korea Youth Policy Institute and analyzed the eight variables related to college education satisfaction, employment preparation, and social participation. This study's sample consisted of a total of 2,941 individuals, and both structural equation modeling and multigroup structural equation modeling were applied for the analysis. The results revealed that college education satisfaction had a significantly positive influence on the employment preparation activities and social participation of young adults. In the multigroup structural equation modeling analysis, it was found that college education satisfaction had a significantly positive impact on employment preparation and social participation for women, while for men, it only significantly affected employment preparation. Furthermore, college education satisfaction did not show significant effects on the employment preparation and social participation of graduates from junior colleges, but it did have a significantly positive impact on the employment preparation activities of graduates from four-year colleges. Based on these research findings, policy and educational interventions to enhance the college education satisfaction of male students and graduates from junior colleges are required.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.57-64
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• 2018

The purpose of this study was to analyze the current status of life and psychological characteristics of 250 out of school youth in Cheonan city, and to identify the factors affecting the happiness. For statistical analysis, SPSS 21.0 were used, and reliability, mean comparison, correlation and multiple regression analysis were applied. First, adolescents who stopped studying due to family problems was lower in self-esteem than those who did for other reasons. Males was higher in happiness than females, and those who were less than two years of drop-out duration than those with over two years. Second, out of school youth used a day as 7.9 sleeping hours, 3.91 working hours. For the places for daily activities, they stayed at home for 10.73 hours, at working place for 3.66 hours. The future plan was the most for job plan. Third, there was a positive correlation between self-esteem, hope, and happiness of adolescents out of school. Fourth, the relative impact on the happiness of out of school youth ranked in the order of self-esteem, hope, employment plans, and household income level.

• Journal of Labour Economics
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• v.39 no.4
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• pp.1-29
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• 2016

This study examines the effects of the "youth unemployment bonus" program implemented in 2004. We view this program through the lenz of search-matching models and apply a quasi-experimental approach to an administrative unemployment insurance database of Korea. This episode is particularly useful because the program aims at long-term unemployed youths and the size of public assistance is large enough to subsidize employers for a year with a monthly subsidy of about $600. The main effects are found to be as follows: (i) the search period gets shortened by 18 days, (ii) the subsequent wage has increased by about three percents, and (iii) a conservative benefit-cost analysis reveals the validity of this program. We interpret these results in the context of general equilibrium models.

• The Journal of Information Systems
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• v.32 no.4
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• pp.229-245
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• 2023

Purpose This study aims to understand the inclinations of young job seekers towards "hidden champions" - small but competitive companies that are emerging as potential solutions to the growing disparity between youth-targeted job vacancies and job seekers. We utilize machine learning techniques to discern the appeal of these hidden champions. Design/methodology/approach We examined the characteristics of small and medium-sized enterprises using data sourced from the Ministry of Employment and Labor and Youth Worknet. By comparing the efficacy of five machine learning classification models (i.e., Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, LGBM Classifier, and XGB Classifier), we discovered that the predictive model utilizing the LGBM Classifier yielded the most consistent performance. Findings Our analysis of the relative significance of preference determinants revealed that industry type, geographical location, and employee count are pivotal factors influencing preference. Drawing from these insights, we propose targeted strategic interventions for policymakers, hidden champions, and young job seekers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.87-103
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• 2021

The government is trying to create jobs by providing 160 billion won in 2021 to revitalize youth start-ups, but the number of youth unemployment and potential unemployment is hitting a record high of 1.2 million due to the shock of employment due to COVID-19. Although start-ups are encouraged as an alternative to revitalizing jobs, the success rate of young start-ups is low due to lack of start-up funds and experience. The purpose of this study is to understand the need to diversify start-up education and career education by understanding start-up policies through one-time funding and short-term education. The results of the study on the factors affecting the willingness to start a business were as follows, by sampling 344 students from specialized high schools preparing for employment and 344 young people in their 20s who are seeking jobs. First, among the entrepreneurship subvariables, innovation, autonomy of job value, and desire for economic achievement are significant, and the older the person surveyed, the more positive the perception of the entrepreneur was. Second, as you get older, your will to start a business decreases, and your experience in successful start-up models and start-up education has an impact on your will to start a business. Third, perception of entrepreneurs is a partial medium effect, which indirectly influences the willingness to start a business and directly or indirectly influences the willingness to start a business through the autonomy of job values, the desire to achieve economic and entrepreneurship.

• Korean Journal of Culture and Social Issue
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• v.14 no.4
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• pp.19-37
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• 2008

The youth unemployment issue has not shown any improvement in years. The purpose of this study was to observe how employment issues affecting university students influence their life aims, self-efficacy, view of reality, view of the future, and life satisfaction. 239 students from three universities located in Seoul and Gyeonggi province were assessed through the instrument FLL and questions about employment issues, their life aims, life satisfaction and also their employment perspective. A total of 34 items of the FLL were divided through factor analysis into six higher life aims, self-love, family love and interpersonal aims, personal-financial aims, social-public aims, moral aims and political and ideological aims. Using Cluster analysis, three group profiles were found depending on the employment perspective such as a better view of reality, better self-efficacy, and better life satisfaction. A t-test was conducted in order to compare the two groups classified according to favorable or unfavorable employment perspectives. No significant differences existed between the groups in the perception of youth unemployment or in social-demographic factors, such as gender, age, and academic year. However, in life aims, the unfavorable group showed significantly higher interest in the domains of family love and interpersonal aims, personal -financial aims, and social-public aims than the favorable perspective group. Conversely, this group showed a significantly greater negative view of reality in most life domains, as it evaluated that its aims are more poorly achieved than the comparable group. Also, the unfavorable perspective group showed a lesser degree of self-efficacy in most life domains and the same in the category of life satisfaction, i.e., lesser satisfaction in all life domains except for family love, and moral aims. However, no significant difference existed between the groups in the view of the future. The results were discussed in relation to other social-cognitive factors for life satisfaction found in preceding studies.

• Journal of Families and Better Life
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• v.31 no.3
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• pp.1-13
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• 2013

The purpose of this study was to examine the influence of family mealtime and family functioning (family cohesion, family adaptability, and communication with father and mother) on early adolescent school adaptation. Data of 3,145 middle school students from the Survey on the Family Values and Lives among Adolescents(2010) conducted by National Youth Policy Institute(NYPI) were used. The findings are as follows. First, there were significant differences in the frequency of having breakfast and dinner with father and having breakfast with mother, family cohesion, and communication with father according to gender. Second, hierarchical linear regression analyses revealed that household economic status, mother's employment status and adolescents' gender among demographic characteristics, having breakfast with father and having dinner with mother in family mealtime frequency, and all the variables of family functioning predicted adolescents' school adaptation. Finally, economic status, having dinner with mother, family cohesion, and communication with father and mother were associated with adolescents' school adaptation for both boys and girls. Mother's education and having breakfast with father were found to be significant for only boys, while mother's employment status and family adaptability were found to be significant for only girls. These findings could provide grounds for making family and education policy.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.23-33
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• 2021

The prolonged coronavirus 19 (COVID-19) has caused serious problems such as job losses and youth unemployment, but as the fourth industrial revolution and digital transformation accelerate, the importance of SW is highlighted and more qualified jobs are expected in the SW industry. However, domestic SW companies are having difficulties in not properly recognizing the value of SW products. Among many related issues, commercial SW maintenance-related issues are representative, and the main problem is the difference in the maintenance fee rates between domestic and foreign SW. In this study, the expected job creation effect when the SW maintenance rate is raised was analyzed using data related to the SW industry and commercial software. As a result of the analysis, the amount required to raise the commercial SW maintenance rate by 1% is 162 billion won. If all of these are used for employment, the expected new job creation effect is 3,240 jobs per year, and 15,451 jobs are created per year when calculated and estimated as the effect of increasing sales through the employment inducement coefficient. In addition, the amount required to raise the current average maintenance rate of 11.1% to 15% is 631.9 billion won, and it was possible to estimate the effect of creating jobs for 12,648 people based on the simple average wage and 60,259 people from the sales increase effect.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.201-208
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• 2023

The coronavirus (COVID-19) pandemic poses disastrous effects on human lives and hinders global efforts to realize the Sustainable Development Goals (SDGs) by 2030. The study examined the effects of the pandemic on unemployment toward realizing the SDGs. The downsizing and collapse of businesses have forcibly left many unfortunate Malaysians jobless and without income. The situation may directly influence government efforts to achieve SDG 8 'Decent work and economic growth', which indirectly affects SDG 1 'No poverty', SDG 2 'Zero hunger', and SDG 3 'Good health and well-being'. Pre-and post-pandemic assessments on unemployment and retrenchment level by sector were performed by adopting observation and data comparison methods. Critical findings revealed that the unemployment rate has risen among males and females and the youth, as well as the number of retrenchments. The services sector, specifically the wholesale, retail, trade, and hotel industry showed the highest number of retrenchments. Some important unemployment issues were also covered in this study, including the demand for employment, the role of government and business, and the effect of the gig economy on the current employment landscape. The avenue for future studies can focus on additional societal effects that could prevent the country from attaining the SDGs by 2030.