• Korean Journal of Human Ecology
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• v.16 no.2
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• pp.285-298
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• 2007

The purpose of this study is to find out specific ways to invigorate the employment of the elderly. To achieve this goal, attitude and information about elderly employment were required, and the groups divided based on them were found. The results of the research are as follows: 1. Attitudes toward employment of the elderly was considerably positive. Among the attitudes, the attitude toward employment-support was the most positive, and the attitude toward employment-motive was relatively less positive. 2. The extent the elderly possessed information about employment was comparatively limited, and quite a low score was shown in knowledge of employment-information of the elderly, which means the elderly are not exposed to the ways to get employed. 3. The groups were divided in four type: passive-stagnation, positive-adjustment, lack of information-work oriented, retirement oriented. Of the employed, the positive-adjustment were the most and the passive-stagnation were the least, while the lack of information-work oriented were the most and the retirement oriented were the least of the unemployed. The result that the lack of information-work oriented were the most of the unemployed shows the choice of unemployment was not an intended one.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.251-258
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• 2019

This study proposed a system that can improve the employment rate and maintenance employment rate by filtering information related to employment in analyzing big data for students who want to find employment. The subject was a two-year female university, the existing employment strategy participated in the job search with simple information such as school grades and personality. As a result, the maintenance employment rate was relatively low due to the decrease in the satisfaction of students seeking employment and the incompatibility with the post-employment aptitude. In order to solve these problems, we propose a system that determines and filters whether the input data in the process of analyzing big data such as employment-related information to improve employment and maintenance employment rates.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.174-180
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• 2021

The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.1
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• pp.69-102
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• 2017

In this study, the Department of Library & Information Science's Students are including their cognitive for the employment prospects of library information, it wants to know satisfaction with current curriculum, job preparation, and requirements for job - related programs. The result, first of all, the students of the field of employment hope was that the library was the field of employment and the public library was the highest one of them. Second, areas of employment were that the Seoul Gyeonggi-do Province showed the highest regardless of the location of the university. Third, the satisfaction of the university curriculum is high, It appeared to be desirable that was field - based employment program. Fourth, The difficulty in preparing for employment was the lack of employment information. Fifth, The factors influencing job choice were working conditions, retirement benefits, welfare benefits, and remuneration. Therefore, to increase the employment rate of students, it was required by the establishment of job information system, reinforcement of field - based training courses, and improvement of local employment conditions and the environment.

• 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 the Korea Society of Computer and Information
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• v.23 no.12
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• pp.203-209
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• 2018

This study analyzed the employment efficiency of Korean colleges and universities using DEA(2015 GOMS), which was surveyed by the Ministry of Employment and Labor and the Korea Employment Information Service. The input variables were employment program participants, language educators, family economic applicants, and employment targets. As a result, the college was more efficient than the college and the college was relatively ineffective. The contribution of input and output contributed the highest efficiency with 99.9% of the participants in the employment program, and the possibility of improving the efficiency of the language educator was the highest at 70.04. Based on the results of the above research, it suggests the necessity of activation of employment programs and activation of language training in each university. Future studies will need to study the efficiency of universities nationwide.

• 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.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.1
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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.

• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.43-75
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• 2017

In this study, Employment Status and Environment of Librarian, to investigate the employment prospect survey was conducted to the subjects of a librarian. The results of this study are as follows. First of all, employment environment of the library site base on the cognitive survey was showed that low wages, unstable jobs, difficulty in work due to staff placement that does not match majors, disagreement with the boss, self-regard as a librarian, excessive workload, a poor work environment etc. Second, the field workers preferred cultural program related electronic information organisation and service as the contents to be added to the curriculum of the library information department of the university. Third, the employment environment of irregular workers is characterised by high competition, low wages, high turnover number, and excessive workload. Fourth, The biggest problem when preparing for employment was the lack of employment information. Therefore, various improvement measures based on the results of the above studies are required, especially, construction of employment information system, Introduction of the field - based curriculum, specific employment conditions are required when hiring.

• 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.