• Journal of the Korea Society of Computer and Information
• /
• v.28 no.2
• /
• pp.161-170
• /
• 2023

This study aims to verify the relationship between employer's perception of employment for the disabled and employment satisfaction, and the mediating effect of perception of employment assistance for the disabled and the moderating effect of education and training support. For the purpose of this study, 4,332 companies were reorganized among the data of the 2021 Survey on Employment of Persons with Disabilities conducted by the Korea Employment Agency for the Disabled. Data analysis used SPSS 23.0 and AMOS 23.0, and structural equation model analysis was performed to understand the relationship between variables. As a result of the study, there was a significant influence between employer's perception of employment for the disabled and employment satisfaction, and the partial mediating effect of employment company contribution was confirmed. In addition, it was found that there was a moderating effect according to the presence or absence of education and training support. Through the results of this study, it is significant that factors that can affect environmental composition were considered in various ways to increase the employment rate of the disabled, and based on these results, implications for increasing the employment rate of the disabled were presented.

• The Korean Journal of Food & Health Convergence
• /
• v.8 no.3
• /
• pp.25-35
• /
• 2022

The purpose of this study was to investigate the factors that determine whether college graduates majoring in culinary arts are employed. To achieve this purpose, this study largely divided the factors affecting the status of employment into the personal background, college life, and employment preparation activities factors. And, the data of 164 graduates who graduated from culinary arts-related departments participating in the Graduate Occupational Mobility Survey (GOMS) were used. The analysis results are summarized as follows. First, it was found that the health status and experience of job-seeking activities of college graduates majoring in culinary arts decreased the employment probability. On the other hand, major satisfaction and certification acquisition were found to increase the employment probability. Second, the health status and experience of job-seeking activities of graduates who participated in 2018GOMS were found to decrease the employment probability, and major satisfaction and grade were found to increase the employment probability. Third, it was found that only the health status of graduates who participated in 2019GOMS affected the status of employment. Therefore, in order to increase the employment rate of culinary arts majors at the end of COVID 19, universities need to make efforts to increase their satisfaction with their majors and their grades while attending college.

• Journal of Digital Convergence
• /
• v.14 no.6
• /
• pp.33-41
• /
• 2016

In this study, it was to prepare a plan for improving the employment rate of college students after identifying employment preparation behavior by grade level. Based on data collected in this study, frequency analysis was analyzed and in order to find out the difference of employment preparation behavior between grade level, Cross-analysis was performed. The results, all items showed that significant differences by grade level in preparation for employment actions such as choice of a double major, workers' experience in college education services, language training experience in foreign countries, setting career in college education services, setting a goal for employment, seeking for employment in college education services, participation in employment activity for researching job, education/training-related job, having an official license. Implications for activation direction of employment preparation of college student by grade level is as follows. First, it is necessary for encouraging actively employment intention of the students. Second, there is a need for institutional support for certification and expanding language training opportunities. Third, in the case of a local university, it is necessary for enhancing competency for employment through the promotion of basic education for students.

• Journal of the Korean Home Economics Association
• /
• v.30 no.4
• /
• pp.107-120
• /
• 1992

The purpose of this study was to figure out the wife's employment and family economic structure of urban establishing families. For this purpose 274 establishing families in Seoul and its metropolitan area were interviewed through the standardized questionnares. Finally 264 questionnares were analyzed. The major findings were as follows; 1. The 23.9% of respondents had full-time job and 12.1% had part-time job. The major reason of nonemployment was child-rearing problems. And most ofthem answered that they would have job if child-rearing problems were sloved. 2. In both full-time and part-time job wives, the employment rate of high educational level's wives was high-relatively. 3. Total household monthly income of full-time job women was higher than the ones of part-time job and full-time wives. In total monthly income of full-time job women, the rate of wife's income was about 38%. 4. The costs of clothings, the cost of traffic and the total expenditures of full-time wife's household were higher than the ones of the other households. 5. The saving rate of the urban establishing families was about 27%.

• Health Policy and Management
• /
• v.3 no.1
• /
• pp.146-168
• /
• 1993

The study was conducted to project supply and demand of the nurses till year 2010 based on analysis of supply and demand of nurses up to year 1991. Results of the study will provide invaluable information for nurses manpower planning as well as overall health manpower planning for the 21th century. It is projected that nurses will be oversupplied based on the current prductivity which is undesirable situation if the quality of care is considered, and undersupplied based on the the medical law as well as optimal productivity. Thus, it is desirable to increase active supply of nurses. One of the ways of increasing active supply would be increasing the size of training and education. But, considering low employment rate of nurses which is about 59% better way of solving problems related to nurses shortage would be improvement in nurses' employment rate. According to simulation study done as part of this study, if nurses' employment rate goes up to 80%, there is no need for increasing the size of training to meet the demand at the level of medical law.

• Human Ecology Research
• /
• v.56 no.2
• /
• pp.175-193
• /
• 2018

This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.

• Journal of Labour Economics
• /
• v.26 no.3
• /
• pp.149-179
• /
• 2003

This study is analysing the factors determining individuals' behavior of selecting self-employment not only at the micro-level but also at the macro-level to put a particular emphasis on the financial constraint and unemployment rate representing business cycle. The data used in this study are "Korean Labor and Income Panal Study" of the Korea Labor Institute and "Economically Active Population Survey" of National Statistical Office. The main findings are as follows. First, human capital such as educational attainment and job experience has positive effects on male's selection of self-employment. The effects of job experience, however, changed negative for female's selection of self-employment. Second, real estate is significantly enhancing the selection probabilities of employer selection while the income from financial assets has negative effects. Third, entrepreneurial culture and environment are also raising the self-employment selection probability. Lastly, the regional unemployment rate representing the business cycle has positive effects on the self-employment selection after the financial crisis in 1997 both at the micro and macro level. Moreover, the coefficient of regional unemployment rate has changed positive in the structural model of self-employment selection controlling for selection bias and income opportunities, which means that individual's behavior of self-employment selection is rather complex when accounting for the uncertainties of income opportunities and diverse characteristics of self-employment workforce.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.17 no.3
• /
• pp.1-7
• /
• 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 Practical Engineering Education
• /
• v.14 no.1
• /
• pp.61-74
• /
• 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.

• Journal of Labour Economics
• /
• v.40 no.3
• /
• pp.105-131
• /
• 2017

This study analyses the effect of a minimum wage on employment by using the government's progressiveness as an instrumental variable. The Ordinary Least Squares regression (OLS) can result in upward biased employment effect due to the endogeneity among variables. Therefore, it is necessary to analyse the casuality that removed endogeneity between variables by using proper instrumental variables. The analysis using instrumental variable shows that the growth of the increasing rate of the minimum wage reduces employment. The negative effect of employment depending on the increase of minimum wage corresponds with the predictions of Neoclassical Economics.