• 제목/요약/키워드: factors affecting employment

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뇌병변장애인 고용특성 및 취업 영향요인 (Characteristics of Employment and Factors Affecting the Employment of Individuals with Brain Disorder)

  • 박주영
    • 한국콘텐츠학회논문지
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    • 제19권5호
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    • pp.542-552
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    • 2019
  • 본 연구는 뇌병변장애인의 고용특성 및 취업 영향요인을 확인하는데 목적이 있다. 연구대상은 317명이다. 분석자료는 한국장애인고용공단의 장애인 고용패널조사 자료를 활용하여 카이스퀘어, 회귀분석을 실시하였다. 변수는 장애건강 요인, 취업관련 요인, 가구관련 요인으로 구성된다. 첫째, 뇌병변장애인 취업집단은 미취업집단에 비해 중증장애, 건강상태가 좋은 경우, 일상생활 도움제공자가 없는 경우, 보조도구가 없는 경우, 고학력, 유자격증, 공공취업서비스 경험이 있는 경우, 주변인 취업알선 받은 경우, 직접 구직 문의 경험이 있는 경우, 유배우자, 비수급자, 가족 취업지지가 높은 경우가 유의미하게 나타났다. 둘째, 뇌병변장애인 취업에 영향을 미치는 요인은 일상생활 도움제공자, 학력, 주변인 취업알선 경험, 배우자, 기초생활보장수급으로 나타났다. 결과를 바탕으로 뇌병변장애인의 취업 활성화를 위하여 일상생활, 교육제도, 사회관계망의 강화와 기초생활보장수급제도의 수정에 대해 제시하였다.

장애노인 고용특성 및 취업 영향요인 -1인가구와 다인가구 비교 (Characteristics of Employment and Factors Affecting on the Employment of Elderly with Disabilities -A Comparison of One-Person and Multi-Person Households)

  • 박주영
    • 디지털융복합연구
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    • 제17권7호
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    • pp.387-393
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    • 2019
  • 본 연구는 장애노인 고용특성을 살펴보고 취업 영향요인을 파악하는데 목적이 있다. 분석자료는 한국장애인고용공단의 2차웨이브 1차 장애인 고용패널조사 자료를 활용하였다. 대상 장애노인은 452명이다. 통계분석은 기술통계, 카이스퀘어, 로지스틱 회귀분석을 실시하였다. 연구결과 첫째, 장애노인 취업집단은 미취업집단에 비해 경증장애, 건강상태가 좋은 경우, 만성질환이 없는 경우, 자격증이 있는 경우, 공공취업서비스 경험이 없는 경우, 유배우자인 경우, 비수급자인 경우, 가구소득이 높은 경우가 많았다. 둘째, 장애노인 취업에 영향을 미치는 공통 요인은 공공취업서비스 경험(p<.01), 가구소득(p<.01)이고, 다인가구 장애노인 취업 영향요인은 장애수용(p<.05), 1인가구 장애노인 취업 영향요인은 기초생활보장수급(p<.05)으로 확인되었다. 연구결과를 바탕으로 장애노인의 취업 지원방안을 제시하였다.

대학 빅데이터 기반 학생 취업 로드맵 추천에 관한 연구 (A Study on University Big Data-based Student Employment Roadmap Recommendation)

  • 박상성
    • 디지털산업정보학회논문지
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    • 제17권3호
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    • pp.1-7
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    • 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.

고용형태에 따른 IT 종사자의 건강습관과 직무스트레스 (Health Habits and Job Stress among IT Workers According to Employment Type)

  • 정혜선;장원기;최은희
    • 한국산업보건학회지
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    • 제27권4호
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    • pp.371-379
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    • 2017
  • Objectives: The purpose of this study is to investigate the differences and the influencing factors of health habits such as smoking, drinking, and exercise on job stress among IT workers. Methods: A questionnaire was distributed to total of 300 people (30 persons per business place) at 10 IT work sites performing computer and information system tasks, and 275 data points were analyzed. The survey items were general characteristics, occupational characteristics, employment type, physical burden, amount of drinking, smoking, exercise, and job stress. Results: The results of this study are summarized as follows. First, non-regular workers showed higher smoking, exercise, and job stress than did regular workers by employment type, but exercise was not significant. Regular workers had a higher rate of drinking than non-regular workers. Second, the factors affecting alcohol drinking were gender and age, and factors affecting smoking were gender and employment type. Third, factors affecting job stress were annual income, long working hours, physical burden, and employment type. Conclusions: It is necessary to consider employment patterns in smoking, drinking, and job stress management. In addition, it is necessary to deeply analyze what affects the health behaviors and job stress of IT workers and explore ways to mitigate them.

Employment and Wage Level of University Graduates in the Field of Clothing and Fashion

  • Lee, MiYoung;Kim, Eun Young
    • 패션비즈니스
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    • 제19권3호
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    • pp.73-87
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    • 2015
  • The purpose of this study is 1) to compare the employment status and wage level of "Clothing and Fashion" major (CF major) graduates with those from other majors and 2) to examine factors affecting the employment status and wage level of CF major university graduates. The data were pooled from the 2009-2012 Graduates Occupational Mobility Survey Data, conducted by Korea Employment Information Service. First, when graduates of CF major were compared with other majors in the same academic area-natural science and arts-, the rate of employment was higher for CF majors than that of other majors; on the other hand, there is no difference in the wage levels between those with graduates in CF majors and those with other majors. Second, we examined factors affecting CF major graduates' employment and wage level based on graduates' individual factors, university factor, and job preparation factors. Employment status of graduates in CF major was predicted by respondent's gender and university type, and work experience. The wage level of CF major graduates was significantly predicted by individual factors (e.g., gender and age, university factors (e.g., university type, university program, location), and job preparation factors (e.g., certificates, overseas experience of foreign language training, English test scores). The results of this study would provide a guide to direct university educational program in order to assess the current capabilities in the field of clothing and fashion.

대학교 졸업반 학생의 취업 스트레스와 영향요인 (A Study on the Employment Stress in Senior-year University Students)

  • 박경란;박호란
    • 한국보건간호학회지
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    • 제19권2호
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    • pp.329-339
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    • 2005
  • Purpose: We wanted to examine the degree of employment stress that university seniors suffer and to find the factors affecting on this employment stress. Methods: The subjects were 250 university seniors in Seoul and Gyeonggido, and the data were gathered by using questionnaires that were administered from September to October in 2004. The data were analyzed with the SAS program by t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression. Results: The mean score of the respondents' total employment stress was 96.5 point out of 200. Their sub-factors of employment stress was 2.0 out of 4.0 for 'academic', 1.9 for 'personality', 2.1 for 'school environments' and 1.9 for 'home environments'. The degree of the seniors' employment stress from such things as their majors, their available jobs in the future, leaves of absence from school, the employment status, and the number of semesters within the leave was found to have significant differences. The major factors affecting on the employment stress were those related to personality stress and majors of the students, and these were 92.7% of the total stress. Conclusion: This study suggests the necessity of intervention or counseling with consideration being given to seniors' employment stress and the other symptoms like depression for improving the health of university seniors.

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부스팅 기계 학습과 SHAP를 이용한 설명 가능한 소프트웨어 분야 대졸자 취업 모델 개발 (Explainable Software Employment Model Development of University Graduates using Boosting Machine Learning and SHAP)

  • 권준희;김성림
    • 디지털산업정보학회논문지
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    • 제19권3호
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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.

STEM 전공 대학생의 진로동기, 진로탐색행동에 대한 인식 차이와 영향요인 (Differences in Career Motivation and Career Exploration Behavior Among STEM Students and Their Affecting Factors)

  • 황순희;조성희
    • 공학교육연구
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    • 제27권1호
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    • pp.13-31
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    • 2024
  • In recent times, STEM graduates are confronting a decline in employment rates influenced by economic, social, cultural, and policy-related factors. Career decisions are closely linked to education, college experiences, and university settings. To comprehend the reasons behind the decline in STEM employment, it is essential to explore the relationships among these factors. This study aims to comprehensively examine differences in career motivation and career exploration behavior among 2,393 STEM undergraduates in Korea. Additionally, factors affecting career motivation and career exploration behavior were investigated. The findings indicate significant differences in perceived career motivation and career exploration behavior based on individual backgrounds and university characteristics. And analyzing the data, 37.8% of career motivation is explained by contextual supports, career barriers, individual backgrounds (grade, GPA), university characteristics (major fields, location), field to enter after graduation, and timing of job preparation. For career exploration behavior, 30.1% is explained by contextual supports, career barriers, individual backgrounds (gender, grade, GPA), university characteristics (major field, location), field to enter after graduation, and timing of job preparation. Practical implications underscore the need for tailored educational and policy support, considering individual backgrounds and university characteristics, to effectively address challenges faced by STEM graduates in the evolving employment landscape.

신규간호사의 이직의도와 영향요인 (New Nurse Turnover Intention and Influencing Factors)

  • 한상숙;손인순;김남은
    • 대한간호학회지
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    • 제39권6호
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    • pp.878-887
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    • 2009
  • Purpose: The study was done to identify turnover intention in new nurses according to characteristics of the nurses and other factors affecting turnover and to provide data to set up a strategy to reduce the turnover. Methods: Data were collected from 1,077 new nurses who had less than 12 months employment experience and worked in one of 188 hospitals. Eight research instruments were used. Data analysis was done using SPSS WIN 15.0 program. Results: Several factors influence new nurse turnover intention. The average score for turnover intention was 2.12. The scores for subscales were self efficacy, 3.76, nursing performance, 3.90, job satisfaction, 2.09, organization commitment, 1.28, stress, 1.32, burnout, 2.82 and nursing organizational culture, 3.29. Turnover intention was related to self efficacy, nursing performance, job satisfaction, organization commitment, stress, burnout, nursing organizational culture, duration of in-class training, duration of on the job training, number of hospital beds, length of employment and duration of employment in current workplace. The predicting factors for turnover intention were burnout, stress, duration of employment in the current workplace, self efficacy and nursing performance. Those factors explained 51.6% of turnover intention. Conclusion: New nurse turnover intention can be reduced by mitigating the factors affecting this intention.

고령자의 취업에 영향을 미치는 요인에 대한 연구: 도시와 농촌의 비교를 중심으로 (The Study on the Factors Affecting the Elderly Employment: Focusing on the Comparisons between Urban and Rural Areas)

  • 구양미
    • 한국경제지리학회지
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    • 제19권1호
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    • pp.104-121
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    • 2016
  • 본 연구의 목적은 고령자의 취업에 영향을 미치는 요인을 분석하는 것으로, 특히 도시와 농촌을 비교하는 것이다. 이를 위해 2014년 노인실태조사 원자료를 이용하여 이항 로지스틱 회귀분석 방법을 사용하였다. 65세 이상 노인의 인구학적 특성, 건강관련 특성, 가구관련 특성, 경제적 특성, 최장기직업 특성, 생활환경 특성, 지역 특성이 취업에 미치는 영향을 분석하였다. 분석 결과 도시거주 노인에 비해 농촌거주 노인이 현재 일하고 있을 가능성이 높았다. 도시와 농촌으로 나누어 분석한 결과 도시지역 고령자의 취업에 영향을 미치는 요인이 더 다양하고 복잡하게 나타났다. 고령자의 일자리에 있어서 도시와 농촌의 지역 차이에 따른 차별화된 정책과 지원이 필요함을 도출할 수 있다.

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