• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.727-736
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• 2014

The fundamental concerns of this paper are to analyze the effects of some characteristics on the employment of new college graduated students in viewpoint of data visualization. We use individual and department characteristic data of K-university graduated students in 2010. We apply multiple correspondence analysis, decision tree analysis, association rules and social network analysis for data visualization. The results of the analysis are summarized as follows. First, an analysis of the determinants of employment shows that GPA, department category, age and number of majors, recruiting time affect the employment rate. Second, higher GPA and natural category of department positively affect the employment rate. Finally, low age, single major and early recruiting time also positively affect the employment rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1502-1520
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• 2021

This paper attempts to investigate Korean youth Not in Education, Employment and Training (NEET) and how daily activities and community participation may influence their positive emotions and job search desire. First, we conducted a focus group interview with 16 NEETs who participated in the Kakao NEET Company project. The project allowed participants to experience employment by founding a virtual company in which each participant selected a daily activity to perform as part of the company's operations. Second, the interview responses were categorized and assigned emotional values using the card sorting technique and multi-dimensional analysis (MDS). A total of 11 emotional values were derived through this process. Finally, a social network analysis was conducted in order to measure the density of relations among the emotional values. Results suggest that immersion, confidence, belongingness were the three highest values evaluated by participants. Furthermore, network diagrams imply that the stronger participants perceived social support and belongingness with others, the stronger their responsibility grew, further leading them to establish steady goals. In particular, the high eigenvector score for "desire for job" suggests that emotional values are sequentially connected to the immersion-social support-responsibility-goal-job desire. This sequence suggests that digital services that are developed with the aim to enhance social values such as the Kakao NEET Project may engender motivation and confidence in youth NEETs. The overall results suggest that a systematic approach to policymaking should be considered in order to provide fundamental solutions and expand opportunities for social participation and emotional comfort, as social isolation due to low self-esteem has been reported as one of the reasons for NEETs' failure in the labor market.

• Korean small business review
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• v.42 no.4
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• pp.235-250
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• 2020

This study surveyed the perception of university students about employment in Small and Medium-sized Enterprises(SME) in the Chungbuk area to prepare improvement measures. In particular, the data were collected in descriptive questions along with the existing survey methods, and the perception of SME and decent work was identified using text-mining. As a result of the analysis, there are positive perceptions of jobs at SME such as various work experiences and low job competition rates, while there are generally many negative perceptions in pay, work and welfare. However, as a result of co-occurrence network analysis of responses to decent jobs, 'Information' was derived as a keyword. Currently, college students' negative perception of SME is affected by the lack of sufficient information, which needs to be improved first. To solve this problem, it was proposed to establish and operate a platform that can provide information on employment of SME and select necessary personnel.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.555-572
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• 2017

The Purpose of this study was to examine the relationship social capital between self efficacy, and the elderly in participated employment or not. The subjects were 340 elderly people in K, S, Y City in Jeonnam. The statistics used for data analysi were reliability, frequency, percentage, mean, standard deviation, one way ANOVA, correlation and multiple Regression. The results of this study were as follows ; First, the degree of social capital of the elderly in participated employment was 86.5(median value 81), while the degree of social capital who did not participated was 79.7. And the degrees of elderly's self efficacy was 43.2, those data showed higher than median. while the degree of self efficacy who did not participated was 39.1. Second, The elderly's social capital level in participated employment were significantly according to residence, religion, living state, economic state, frequency of employment, health state, spouse, monthly income, and the elderly's self efficacy level in participated employment were significantly according to social capital, economic state, monthly income, spouse, health state, living state, education, religion, frequency of employment, Third, participation on the employment for elderly' social capital was the highest correlation variable in self efficacy. Fourth, The variables that affect the elderly's social capital level were economic state, health state, spouse, religion, which explained about 13% of the total variance. And the variables that affect elderly's self efficacy level norm, economic state, network, participation, residence, health state, trust, age, spouse, which explained about 34% of the total variance.

• Korean Journal of Labor Studies
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• v.24 no.1
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• pp.65-105
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• 2018

This study examines the employment relations of TNC subsidiaries in Central and Eastern Europe(CEE). Specifically, this study analyzes the employment relations of Volkswagen subsidiaries, which has led the restructuring the CEE's automobile industry since the collapse of socialist regimes, and Hyundai subsidiaries, which has sought to cast employment relations through Greenfield Investment as a latecomer. After the collapse of socialism, with the massive inflow of foreign direct investment and the social legacy of weak labor unions, CEE has been included in the global production network as low-wage production base. Both VW and Hyundai have entered the CEE with their own characteristics and global strategies that have been developed in their home countries and have developed the local production. In the process, both have formed local employment relations, combining low-wage, unstable employment, and weak labor unions of CEE under their own strategy. In recent years, however, it has been doubtful of the sustainability of employment relations based on the advantages of low-wage production bases, as the pools of low-wage workforce decline and new union movements occur in CEE. These changes in CEE are an indication of the inherent contradiction of low-wage production base strategies.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.244-247
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• 2018

본 연구는 우리나라 중등교사 임용시험의 형태가 개편된 2014년도 이후부터 2018년도 현재까지 진행된 중등교사 임용시험 관련 선행연구들을 언어네트워크 분석 방법론을 활용하여, 그 연구동향을 분석하였다. 본 연구에서는 2014년도 이후 5년간 진행된 중등교사 임용시험 관련 연구 55건을 대상으로 주요 핵심어 추출 및 워드클라우드 제시, 주요 핵심어의 언어네트워크 전체 분석 및 3종 중심성(연결정도, 근접, 매개) 분석, 네트워크 값을 반영한 네트워크 그림 시각화 작업 등을 진행하였다. 중등교사 임용시험 관련 선행연구의 주요 핵심어는 분석, 문항, 출제, 인식, 임용후보자, 교과교육학, 국어과, 선정경쟁시험, 개선, 예비교사, 교과내용학, 기출문항, 임용교사, 제도, 탐색 등이었다. 이들 상위 빈도 핵심어들은 나름 높은 연결정도를 가지고 다른 핵심어들간의 의미연결망을 구축하고 있음을 확인하였다, 이런 연구결과는 중등교사 임용시험 주제 연구 진행을 할 때, 연구주제 선정 및 방향 설정에 도움을 줄 것으로 기대된다.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.1-10
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• 2013

The value added network service industry has played and important role in the telecommunication service industry and in the economic development of Korea. This study uses input-output analysis to investigate the role of value added network service sector in the Korean national economy for the period 2000, 2005, 2009, focusing on four topics in its application: production inducing effects, value-added inducing effect, employment-inducing effects by demand-driven model and supply shortage effect by supply-driven model, inflation impacts by the Leontief price model, finally analysing inter-industry linkage effects. The results of this study are as follows: production inducing effects analysis 2000 0.5253won to 2009 1.31314won, value-added inducing effects 0.25112won to 0.5337won employment inducing effects from 0.09749 to 0.21025 people grew, the supply shortage effect from 1.29003 to 2.12048won, price impact of Leontief price model was increased from 0.0022% to 0.00258%. Finally, inter-industry linkage effects, appeared to have the characteristics of final demand raw industrial.

• The Journal of Information Systems
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• v.29 no.2
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• pp.287-306
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• 2020

Purpose Youth unemployment is a social problem that continues to emerge in Korea. In this study, we create a model that predicts the employment of college graduates using decision tree, random forest and artificial neural network among machine learning techniques and compare the performance between each model through prediction results. Design/methodology/approach In this study, the data processing was performed, including the acquisition of the college graduates' vocational path survey data first, then the selection of independent variables and setting up dependent variables. We use R to create decision tree, random forest, and artificial neural network models and predicted whether college graduates were employed through each model. And at the end, the performance of each model was compared and evaluated. Findings The results showed that the random forest model had the highest performance, and the artificial neural network model had a narrow difference in performance than the decision tree model. In the decision-making tree model, key nodes were selected as to whether they receive economic support from their families, major affiliates, the route of obtaining information for jobs at universities, the importance of working income when choosing jobs and the location of graduation universities. Identifying the importance of variables in the random forest model, whether they receive economic support from their families as important variables, majors, the route to obtaining job information, the degree of irritating feelings for a month, and the location of the graduating university were selected.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.545-553
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• 2020

Although networking behavior is an effective job search method to students, far too little attention has been paid to mechanisms explaining the antecedents and networking behavior. The goal of this study was to demonstrate the effect of the HEXACO personality dimensions on graduated students' job search networking behavior through their network size. A survey of 773 participants was conducted to assess personality traits, network size, and networking behavior. All constructs in the study were measured by 5-point Likert scales. This study employed a structural equation model to examine the proposed conceptual model and the correlations among variables. Results showed that the personality of emotionality negatively influence students' network size, while extraversion and agreeableness are positively associated with the scope of their social network. Second, the findings confirmed that network size is directly related to the level of looking-for job behavior, particularly networking behavior. Finally, our results explored that network size played the mediating effect on how personality traits affect networking behavior. These findings suggest that network size is a dynamic mechanism that helps to understand the correlation between personality traits and job search networking behavior. The theoretical and practical implication of the study, as well as the future research direction were discussed.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.15-26
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• 2019

The development of science and transportation technology leads to the increase of inter - city networks that play an important role in urban growth. Overall, numerous studies based on network theory pay attention to positive effects of urban network on urban growth. However, some studies have pointed out the negative effects of inter-city interactions such as straw effects. This implies that the network between cities may not be positively correlated with urban growth, and that the direction of the influence may vary from a certain threshold, such as the marginal utility curve. In this context, the purpose of this study is to measure the impacts of network with central city on urban growth in the capital region and examine the relationship between urban network and growth. Two multiple regression models are employed with changes in population and employment as dependent variables. The urban network index and other control variables are used as independent variables. Especially, the urban network indexes are used in quadratic forms to examine non linear relations with urban growth such U-shape or an inverted U-shape. The results show that the relationships between networks with the central city and urban growth are not a simple linear, and the influence can be changed from the critical point.