• 한국컴퓨터정보학회논문지
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• 제28권2호
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• pp.161-170
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• 2023

본 연구는 고용주의 장애인 고용에 대한 인식과 고용만족도 간의 관계와 이들 간의 관계에서 장애인 고용기업기여도 인식의 매개효과와 교육훈련지원 유무의 조절효과를 검증하는데 있다. 본 연구 목적을 위하여 한국장애인고용공단에서 실시한 「2021년도 장애인고용실태조사」 자료 가운데 4,332업체를 대상으로 재구성하였다. 자료분석은 SPSS 23.0과 AMOS 23.0을 이용하였으며, 변수 간의 관계를 파악하기 위해 구조방정식모형 분석을 수행하였다. 연구결과 고용주의 장애인고용인식과 고용만족도 간에 유의미한 영향관계가 있으며 고용 기업기여도의 부분매개효과를 확인할 수 있었다. 또한 교육훈련지원 유무에 따른 부분적 조절효과가 있는 것으로 나타났다. 본 연구 결과를 통해 장애인고용률을 높이기 위해 환경조성에 영향을 줄 수 있는 요인을 다각도로 고찰하였다는 데에 의의가 있으며, 이런 결과를 바탕으로 장애인고용률을 높이기 위한 시사점을 제시하였다.

• 수산해양교육연구
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• 제29권3호
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• pp.677-688
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• 2017

The purpose of this study is to analyze the action learning lesson about the improvement process of the job support program of P university students. As a research method, we applied the related classes during the semester to the students who took courses in the course of 'Human Resource Development', which is a subject of P university, and analyzed the learner's reflection journal, interview data. As a result of the research, we went through the problem selection stage, the team construction and the team building stage. And then we searched for the root cause of the problem, clarified the problem, derived the possible solution, determined the priority and created the action plan. There are 10 solutions to the practical problems of poor job camps. Through two interviews with field experts it offered final solutions focused on promoting employment and Camp students participate in the management of post-employment into six camps. According to the first rank, job board integration, vendor selection upon student feedback, reflecting improved late questionnaire, public relations utilizing KakaoTalk, recruiting additional selection criteria, the camp provides recorded images in order. The results of this study suggest that the university's employment support program will strengthen the competitiveness of students' employment and become the basic data for the customized employment support program.

• 실천공학교육논문지
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• 제13권2호
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• pp.369-378
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• 2021

최근 우리나라 청년실업은 경제사회적 측면에서 부정적인 영향을 미치며 심각한 사회문제로 부각되고 있다. 이러한 청년실업에 대한 하나의 대안으로서 글로벌 일자리 창출이 오래 전부터 대두되어 왔으며, 정부는 2013년부터 기존의 해외진출 사업들의 내실화를 위해 해외 취업, 인턴, 봉사 및 창업 지원을 "K-Move" 브랜드로 통합하여 추진하고 있다. 그러나 2018년 기준으로 볼 때 해외취업 희망자 중 실제로 해외취업에 성공하는 비율은 24.5%에 불과한 수준이다. 본 연구는 해외취업자를 대상으로 한 설문조사 결과를 분석하고, 이를 토대로 해외취업의 성공률을 높이기 위한 전략방향을 제시하고자 하였다. 설문조사 결과가 주는 주요 해외취업 전략방향은 다음과 같다. 첫째, 해외취업의 명확한 목표설정이 필요하다. 둘째, 해외취업을 위한 사전준비 활동이 보다 강화되어야 한다. 셋째, 해외취업과 관련한 정보인프라의 고도화가 필요하다. 그리고 넷째, 지역 및 국가별 차별화된 취업전략이 필요하다. 이러한 연구결과는 해외취업 희망자 뿐만 아니라 해외취업 지원정책을 수립하고 실행하는 정부기관에도 유용한 시사점을 줄 것으로 기대된다.

• 대한안전경영과학회지
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• 제16권4호
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• pp.451-459
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• 2014

To solve the serious problem of insufficient manpower in medium and small scaled companies, our country allows introduction of foreign manpower for 5 business types such as manufacture industry, service industry, etc. and there are 226,825 people who entered by employment license system(E-9) in Sep. 2013. However, according to the results of investigation "actual status and difficulties of foreign manpower's employment of medium and small scaled manufacturing companies" of KFTA in 2013, 36.4% of respondents responded that current scale of introducing foreign manpower is insufficient to solve difficulties of insufficient manpower in industrial world and 37.7% of them responded that the quarter of new employment is insufficient. So, they hope that current quarter system of foreign manpower can be abolished. Meanwhile, introduction scale of foreign manpower was decided by 53,000 people so as to solve enterprise difficulties in manpower and vitalize economics this year, but illegal aliens are 39,623, more than 17.5%, in Sep. 2013 after employment expiration. Therefore, it becomes serious social problem. Government displays various support businesses so that foreign workers after employment expiration can return to their homeland legally. This thesis intends to find measures to maintain royalty for our country and support their smooth resettlement through the analysis on homecoming support business of foreign workers.

• 디지털산업정보학회논문지
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• 제19권1호
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• pp.129-138
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• 2023

The purpose of this study is to explore factors that directly affect the employment of college graduates. To this end, employment data of graduates of private four-year university in Daegu metropolitan area and Gyeongsangbuk-do province were collected from 2019 to 2021, filtered data using a RapidMiner, and analyzed by applying a decision tree model. As a result of the study, long-term internship for more than 12 weeks, TOEIC score of 787.5 or higher was advantageous for employment, and if there was no TOEIC score, the graduation average score was 3.67 or higher, so the possibility of employment was high. Even if the TOEIC score was low, it was advantageous for employment if participating in the contest and continuous professor counseling, and even if the average graduation score was low, the possibility of employment was high if actively participating in the comparison program. This study can present a job education guide based on actual data to university management and use it to establish policies to support employment of college students.

• 한국산학기술학회논문지
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• 제16권4호
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• pp.2556-2563
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• 2015

본 연구는 전문대학생이 경험하는 취업준비활동의 취업 효과를 밝히는 것이 목적이다. 특히 학생이 개인차원에서 준비하는 자격증, 직업훈련 등과 함께 대학 차원에서 운영하는 진로선택 및 취업지원 프로그램의 취업 효과를 분석하기 위해 수행되었다. 2011대졸자 직업이동경로조사 자료의 전문대졸자 3,249명을 대상으로 이항 로지스틱 회귀분석을 실시하였다. 분석 결과, 대학특성에서는 졸업학점이 높을수록, 출신대학이 비수도권일수록 취업 확률이 더 높았다. 전공계열은 준거집단 대비 의약, 교육, 공학, 사회, 자연 계열 순으로 취업 확률이 높았다. 취업준비활동에서는 국가 자격증 수가 많을수록, 면접기술 & 이력서작성 프로그램 참여 경험이 있는 경우, 졸업 전 후 구직활동 경험이 있는 경우가 취업에 영향을 미치는 것으로 나타났다. 그 외 직업훈련, 진로 취업관련 교과목, 직장체험 프로그램, 진로상담 프로그램, 취업캠프, 대학 재학 중 일자리 경험, 졸업 전 취업목표 유무 등은 취업에 직접적인 영향을 미치지는 못했다.

• 대한안전경영과학회지
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• 제16권2호
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• pp.203-210
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• 2014

The purpose of this study is to understand the meaning and essence of concrete and practical experience on a series of debates to reveal factors that could be exposed when middle or old-aged people are in the process of re-employment process when they were unemployed by exploring the phenomenon of experience on the courses for the unemployed focusing on middle or old-aged people for employment support program. Depth consultation interviews were conducted and the structure of this phenomenon was revealed and described by applying Giorgi's phenomenology technical as a procedure for analyzing participants' statements by concentrating on the essence of the experience in this study. The meaning of the experience of the unemployed re-employment process structure as a result of analysis on the nature of re-employment experience on the basis of research participants and the information stated through this study showed respectively such as , , , , , and "Reemployment Success Factors>. It is a significant meaning that middle and old-aged people were able to confirm that they experienced Dynamic pursuit of hopes and dreams and got the chance to participate in society Toward a new life By strengthening employ ability skills by undertaking vocational training, obtaining licenses, and regaining confidence and employment determination, and a lot of desire using the card for learning tomorrow, government support system.

• 융합보안논문지
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• 제18권5_2호
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• pp.11-19
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• 2018

우리나라 군(軍)은 5년 이상에서 10년 미만 복무한 중기복무자와 10년 이상 복무한 장기복무자 위주의 취업지원 정책을 추진하고 있어서 상대적으로 단기복무자들에 대한 취업지원이 미약한 실정이며 특히, 국가적인 청년 실업문제와 연계하여 단기복무장교들도 전역 후 심각한 취업난에 휩싸이고 있다. 이러한 문제는 초임장교의 약 80%에 해당하는 학군과 학사사관후보생 획득에 심각한 영향을 미치고 있으며 이들은 대부분이 단기복무 후 전역하는 실정이기에 그에 대한 대책이 절실히 필요한 시점이다. 그러므로 이 연구에서는 단기복무장교를 위한 취업지원과 연관된 제도와 법령에 대한 정비소요를 도출하고 취업지원 제도와 전역 후 기업에서 요구하는 적합한 인재에 맞는 단기복무자의 군 복무 간 경력관리 모델방안과 안정적인 일자리 확보계획을 제안함으로써 우수인력 획득을 통해 학군 학사장교 선발 경쟁비를 향상시키고자 한다. 또한 이것이 결과적으로 군(軍) 전투력 발전으로 기여할 것이다.

• 대한간호학회지
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• 제38권4호
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• pp.541-549
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• 2008

Purpose: This study was conducted to determine the predictors of employment intention for mentally disabled persons. Methods: Mentally disabled persons who had participated in rehabilitation programs in one of 16 mental health centers and 9 community rehabilitation centers located in Seoul and Kyunggi province were recruited for this study. A random sampling method was used and 414 respondents were used for final analysis. Data was analyzed by Pearson's correlation, and stepwise multiple regression using the SPSS Win 14.0. Results: The predictors influencing employment intention of the mentally disabled person were observed as employment desire (${\beta}=.48$), guardian's expectation (${\beta}=.26$), professional's support (${\beta}=.23$), financial management (${\beta}=.10$), eating habits (${\beta}=.07$), and quality of life (${\beta}=-.01$). Six factors explained 61.1% of employment intention of mentally disabled persons. Conclusion: The employment intention of a mentally disabled person was influenced by employment desire, diet self-efficacy, guardian's expectation, professional's support, quality of life, financial management and eating habits.

• 무역학회지
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• 제46권1호
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• pp.169-187
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• 2021

This paper analyzes the feasibility of using machine learning and deep learning methods to forecast the income and employment using the strategic industries as well as investment, export, and exchange rates. The decision tree, artificial neural network, support vector machine, and deep learning models were used to forecast the income and employment in Busan. The following were the main findings of the comparison of their predictive abilities. First, the decision tree models predict the income and employment well. The forecasting values for the income and employment appeared somewhat differently according to the depth of decision trees and several conditions of strategic industries as well as investment, export, and exchange rates. Second, since the artificial neural network models show that the coefficients are somewhat low and RMSE are somewhat high, these models are not good forecasting the income and employment. Third, the support vector machine models show the high predictive power with the high coefficients of determination and low RMSE. Fourth, the deep neural network models show the higher predictive power with appropriate epochs and batch sizes. Thus, since the machine learning and deep learning models can predict the employment well, we need to adopt the machine learning and deep learning models to forecast the income and employment.