• Journal of Information Technology Applications and Management
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• 제28권4호
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• pp.33-43
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• 2021

While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.

• 공학교육연구
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• 제21권6호
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• pp.25-34
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• 2018

The low growth rate and the high youth unemployment rate that our society faces have already come to our country core problem. Today, as we enter the era of the Fourth Industrial Revolution, the social atmosphere that urgently needs to solve the problem of youth employment has become imminent, and the importance of university-industry cooperation is increasingly emphasized. In this paper, in this paper, we explore the process of how to develop fusion multifaceted curriculum centered on the Konkuk University College of Healing Bio Sciences Consortium Focus, which is developed and operated through literature review and Delphi questionnaire, The purpose of this study is to propose the conditions for enhancing educational suitability and the expansion of interdisciplinary convergence education.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.33-38
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• 2020

P University applied for the overseas expansion project of K-Move School operated by Human Resources Development Service of Korea, and was selected twice in 2016 and 2017 to operate the program. The goal of this study was to prepare an activation plan based on the results of the training program to enter the fashion industry in LA, USA. The lack of research It was confirmed that the K-Move School program could provide young people with opportunities to grow into global talents in a situation where it is very uneasy to predict the future based on the domestic employment environment alone. However, in order to successfully expand overseas jobs, systematic and strategic policies are essential by the government and related ministries or institutions so that practical programs suitable for young people can be operated. It is hoped that the results of these studies will be used as basic data for young adults and leaders who are in charge of teaching overseas.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.181-187
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• 2021

The purpose of this study is to examine empirically the short- and long-run determinants of entrepreneurial activity in a sample of 15 the Middle East and North African economies between 2006 and 2018. More specifically, four groups of determinants are considered in the analysis, namely economic, demographic, business environment, and institutional. Given the autoregressive feature of the entrepreneurial activity process, a dynamic panel data model is estimated using the system GMM estimator. Findings reveal that unemployment, trade openness, population density, and economic freedom are the main drivers of new business creation in the short-run, while the cost and number of procedures to start a new business negatively affect entrepreneurship. In the long-run, the same findings hold true. Moreover, education and political stability and the absence of violence/terrorism positively affect entrepreneurial activity. Policy recommendations are accordingly designed.

• International Journal of Knowledge Content Development & Technology
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• 제11권1호
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• pp.7-27
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• 2021

High unemployment rates repeatedly cause recurring social problems such as fewer employment opportunities and employment insecurity. Following this trend, various programs related to employment have been provided through various government and institutions. However, they have established overlapping policies and programs and there is no one stop gateway to find effective and efficient way to find relevant information. For this purpose, this study aims to provide employment and job search subject gateway development. The study has carried out case studies, literature reviews, and user survey. Based on this study, it suggested a linked metadata model to organize and link scattered information together, and a digital gateway operating diverse information services. It is expected to provide a basis to develop comprehensive information service model for employment.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.138-143
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• 2022

The employment prediction model proposed in this paper uses 16 independent variables, including self-introductions of M University students who applied for IPP and work-study internship, and 3 dependent variable data such as large companies, mid-sized companies, and unemployment. The employment prediction model for large companies was developed using Random Forest and Word2Vec with the result of F1_Weighted 82.4%. The employment prediction model for medium-sized companies and above was developed using Logistic Regression and Word2Vec with the result of F1_Weighted 73.24%. These two models can be actively used in predicting employment in large and medium-sized companies for M University students in the future.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.33-38
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• 2022

Gyeongsangnam-do needed an employment stability response policy to induce re-employment of job seekers who retired due to large-scale unemployment and job instability following the employment crisis, and stable settlement and long-term employment after new employment.This study is to confirm the effective corporate support policy as an employment promotion strategy through new recruitment of the employment crisis in Gyeongsangnam-do. A total of 380 companies in Gyeongsangnam-do were targeted for the survey through online surveys and in-person surveys. As a result of the study, as a measure to improve working conditions through financial support for long-term employment stability, first, support for youth-middle-age asset formation of SME workers is required, and second, support for old-age income guarantee for SME workers was proposed. Third, direct corporate subsidies are continuously needed for job promotion and job stability of Gyeongsangnam-do companies.

• KDI Journal of Economic Policy
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• 제43권2호
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• pp.53-79
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• 2021

The recession caused by the COVID-19 crisis has features that could disproportionately harm female employment. Risk of infection and social distancing measures may have disrupted jobs in face-to-face industries, which have traditionally hired more women than men. School closures and a consequent increase in childcare and homeschooling demands may have discouraged labor market participation by working mothers. Using the Economically Active Population Survey, I examine how female employment was affected by each factor. I find that the gender gap in the Employment to Non-participation (E to N) transition rates is twice as large as the gap in the Employment to Unemployment (E to U) transition rates. Women's overrepresentation in the face-to-face industries accounts for most of the gap in the E to U transition but only a third of the gap in the E to N transition. The rise in non-participation is especially pronounced among married women aged 39-44, the group most likely to have elementary-school-age children.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.657-663
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• 2021

The main purpose of the study is to analyze the information aspects of the impact of COVID-19 on the labor market in the EU and Ukraine. In addition to studying the key parameters of changes in the labor market under the influence of COVID-19, i.e. the unemployment rate and the share of the employed population, a thorough study of gender equality, labor migration and the impact on youth made it possible to characterize the effectiveness of the policy of stabilization and restoration of the labor market in the EU and Ukraine. The results obtained form the necessary information basis for modeling labor market regulation in the event of possible subsequent disturbances, in particular under the influence of global pandemics.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.153-154
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• 2021

Currently, the construction industry is decreasing every year due to people's poor perception, high labor intensity, unstable employment structure, and welfare problems, as people avoid entry. Accordingly, this study investigated how to attract trainees and graduates from domestic construction education institutions to the construction industry. If institutional devices are prepared to prepare for the future by improving the welfare system such as unemployment benefits and retirement deductions in the construction industry, many trainees in their 20s and 30s will be attracted to the construction industry. If it helps expand hands-on education through on-site linkage and has the necessary technical skills for practice, it is believed that trainees and graduates in their 4s and 60s will be attracted to the construction industry.