• Title/Summary/Keyword: 인력양성정책

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Educational Policy Proposals through Analysis of the Perception of Bigdata for University Students (학부생의 빅데이터 인식 분석을 통한 교육정책 제언)

  • Noh, Kyoo-Sung
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.25-33
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    • 2015
  • In Korea, despite the increase in demand for Bigdata manpower, institutions and universities to educate and train Bigdata manpower are not yet much. Therefore, this study investigated the status regarding the recognition on Bigdata of universities students and presented a direction for educating Bigdata manpower at the university. In order to accomplish this purpose, this study surveyed and analyzed the students' understanding of Bigdata, the awareness of the students about the social impact of Bigdata, the learning intention of the students on Bigdata and presented Implications for Bigdata workforce development. As a result, despite of the somewhat difference in understanding for the Bigdata, it was found that their awareness about the impact of Bigdata is very positive. And this study showed the need of universities' and government' political effort for Bigdata workforce development, because it was investigated that students' intentions of learning for Bigdata is proportional to students' understanding levels and learning experience for Bigdata.

청년 물류인력 해외진출 정주지원사업 구상 연구

  • Kim, Eun-Su;Gong, Yeong-Deok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.11a
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    • pp.207-209
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    • 2018
  • 우리 정부는 해외진출 기업의 국제 경쟁력 강화 및 해운 물류기업의 해외진출 지원 강화 등을 통한 글로벌 물류강국 실현을 목표로 하고 있다. 이러한 정책목표 실현을 위해서는 젊고 유능한 청년 국제물류 인력양성과 함께 그들의 해외진출 정주지원사업 추진의 필요성이 높다. 본 연구는 국내 청년 물류인력의 해외진출 지원을 위한 기업과 청년들의 인식 조사 분석 및 K-MOVE 사업의 고도화 및 확대 방안으로서 베트남을 대상으로 한 정주지원사업을 구상하였다.

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The Exploratory Study on the Manpower Training Plans by Smart Manufacturing Technology Level (스마트 제조기술 수준에 따른 인력 양성 방안에 대한 탐색적 연구)

  • Choi, Yun-Hyeok;Myung, Jae Kyu
    • Journal of Practical Engineering Education
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    • v.11 no.2
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    • pp.269-282
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    • 2019
  • The purpose of this study is to identify the level of development of major technologies used in smart manufacturing in Korea and to use it as an objective basis for establishing smart manufacturing R & D personnel training policies. We select 25 key technologies to build and operate smart factories for the US, Germany, Japan, EU, Korea, and China, and examine the level (%) and gap (year) by smart manufacturing technology in each country. Based on the results, it is expected to contribute to reinforcing the global market competitiveness of the Korea manufacturing industry by checking the current status of R & D personnel training and suggesting policy suggestions for nurturing R & D personnel.

Educational Algorithm to train Renewable Energy Technician (신재생에너지 전문기술 인력양성 교육 알고리즘)

  • Yoon, Yongho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.271-276
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    • 2020
  • In terms of supply of manpower in the energy industry, domestic universities cannot realistically operate flexibly to meet manpower demand in accordance with various regulations related to the department, and there are only a few independent energy related departments. There are many difficulties in closure, increase and decrease of capacity, and foster convergence. In addition to the limited aspects of human resource development of universities, changes in the energy paradigm, namely: 1) changes in the energy industry from stable supply and energy security to new growth engines and export industries, 2) Revitalization of the energy industry, 3) including diversification of energy sources and the spread of new technologies. Therefore, in this paper, we propose a training program for nurturing new renewable energy specialists to independently develop various high-quality human resources such as intangible and convergent human resources in line with changes in the energy paradigm.

노동력수요의 중장기 전망-지식기반경제로의 이행-

  • 최강식;김정호
    • Journal of Labour Economics
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    • v.20 no.1
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    • pp.59-89
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    • 1997
  • 세계화 추세의 가속, 급속한 기술진보 및 정보화의 확산 등은 국제간의 분업구조 뿐만 아니라 국내의 산업구조 및 취업구조를 급격히 변화시키고 있다. 국내 취업구조의 변화는 산업간 직업간 취업비중을 모두 변화시키고 있어 고용의 양적 측면은 물론이고 질적 측면에서도 큰 변화가 예상된다. 그러므로 중장기적인 노동력수요 예측은 향후 인력양성의 방향과 체계를 결정하는 데 중요한 지표가 될 뿐만 아니라 노동시장 정책에 있어서도 반드시 필요한 자료가 되고 있다. 따라서 본 연구에서는 향후 노동력에 대한 중장기 수요를 일반균형적인 접근을 통하여 산업별 직업별로 예측하고 이 예측결과에 따른 향후 노동시장 및 인력정책의 방향을 제시하는 데 있다. 본 연구에서는 기존의 연구들이 사용한 방법의 이론적 약점을 보완하면서 실증 결과의 예측성을 높일 수 있는 개선된 방법을 사용하였다. 산업별 취업자를 전망하는데 있어 기존 연구결과들은 주로 노동시장의 단일방정식만을 추정함으로써 생산요소의 수요가 비탄력적이지 않음에도 불구하고 생산요소간의 대체가능성을 무시하고 있으며, 인력수요에 중요한 결정 요인인 기술변화를 고려하지 못하고 있거나, 취업계수의 변화를 통해 기술진보의 효과를 고려한다고 하여도 기술진보가 생산요소간에 비중립적(factor non-neutral technology changes)으로 일어날 경우 요소간 대체가능성을 간과하고있다. 이러한 단점을 보완하기 위해 본 연구에서는 산업별 취업자 전망에서 노동시장의 단일방정식 추정이 아닌 일반균형에 입각한 경제 모형을 사용하였다. 또한 직종별 취업자 전망을 위해서는 일반적으로 이용되는 필요 인력량에 대한 고정계수(fixed coefficient manpower requirement)를 추정할 때 이중비례행렬모형(二重比例行列模型)을 이용하여, 산업구조의 변화로 인한 직업별 인력수요 변화가 충분히 고려되도록 하였다. 전망의 결과에 따르면 향후 우리 경제는 지식기반경제(knowledge-based economy)로 이행하고 있다고 볼 수 있다. 우선 산업구조면에서 지식집약적산업으로의 구조조정이 일어나게 되고 이에 따라 산업별 취업구조에서도 고기술산업의 취업준비중이 급속히 증가하게 된다. 직업별 취업분포에 있어서도 전문기술직 행정관리직 등의 고숙련 사무직의 비중은 크게 증가하는 반면 생산관련직과 농림어업직의 비중은 감소하게 된다. 이처럼 경제가 지식집약화되어 감에 따라 고학력자에 대한 수요는 지속적으로 증가하지만 현재 적절한 인력양성과 공급이 이루어지지 않고 있어 향후 기술이나 기능에 따른 수급부일정(需給不一政)(skill mismatch)현상이 매우 심해질 것으로 보인다. 따라서 앞으로의 인력정책에서 가장 주안점을 두어야 할 부분은 첨단기술산업과 관련된 인력의 양성에 있다고 하겠다.

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e-Business Manpower Classification That is Correct in New Environment and Study of Course Roadmap Development for Manpower Training (새로운 환경에 맞는 e-비즈니스 인력의 분류와 인력양성을 위한 진로 로드맵 개발에 관한 연구)

  • Jang, Ki-Jin;Hong, Jung-Wan
    • The Journal of Society for e-Business Studies
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    • v.14 no.3
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    • pp.107-129
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    • 2009
  • The person who realize e-business must understand Information Technology(IT) and business process. Current policy and system should be attained new change for domestic e-business manpower training. Divided for manpower training in new dimension justice about present e-business manpower and manpower classification. The capacity about course of study of e-business manpower and program development classified in a new comer, expert, administrator, manager's process. And the process divided ten details job according to business and functions that achieve in enterprise and major in university. Present capacity that needs in details line of duty by ASK(Attitude, Skill, Knowledge) model and focused for program development.

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A Study on Prioritization of Biopharmaceutical Industry Promotion Policy: Focusing on IPA analysis of Gyeonggi-do policy tasks (바이오의약품산업 육성 정책 우선순위 도출에 관한 연구 : 경기도 정책과제의 IPA 분석을 중심으로)

  • Kang, Jimin
    • Journal of Digital Convergence
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    • v.20 no.1
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    • pp.47-54
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    • 2022
  • The purpose of this study was to derive policy priorities for fostering the biopharmaceutical industry. In this study, the urgency and importance of the policy to foster the biopharmaceutical industry in Gyeonggi-do was investigated, and the priorities of the policy in the biopharmaceutical industry were analyzed through IPA analysis. As a result of the study, the top priority support tasks for the biopharmaceutical industry promotion policy were 'R&D support', 'Expert training', and 'commercialization support'. As a result of deriving policy priorities for each biopharmaceutical sector, 'R&D support' and 'Expert training' were found to be high in common, and differences in policy priorities for each industry such as cell therapy products and advanced bio-convergence products were confirmed. Also, as for the policy demand, R&D funding support, clinical trial support, and commercialization funding support were found to be high. Based on these results, the government's policy to foster the biopharmaceutical industry was supported with a focus on 'R&D support' and 'Expert training', and policy implications were drawn that customized support is needed in consideration of the characteristics of each industry field.

Dynamic Efficiency Analysis of Korean HRD Programs using Data Envelopment Analysis (DEA 방법론 활용을 통한 국가 HRD사업에 대한 동태적 효율성 분석)

  • Lee, Jung-Mann
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.63-71
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    • 2012
  • This paper investigates efficiency analysis to IT HRD programs in the dynamic perspective. First, empirical result shows that government fund of IT research center is significantly associated with SCI thesis and the more trial goods and SW development is connected with the more patent and technology transfer. Second, ITRC program has been operated efficiently since 2000. Finally, dynamic efficiency analysis implicates that ITRC program is more efficient than other IT SoC program and foreign student support program. The reason why ITRC program is more efficient is generated not from the effect of imitation by catch-up strategy to developed HRD programs, but new operation system introducing and utilizing HRD performance system.

An Education and Training Strategies for Logistics Professionals in the Digital Age (디지털시대 물류 전문인력 양성방안)

  • Han, Chul-Hwan
    • Journal of Korea Port Economic Association
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    • v.38 no.1
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    • pp.15-29
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    • 2022
  • The Korean logistics industry is in a double challenges to train logistics professional in terms of quantity and quality. The study aims to derive implications for the logistics professional training policy and present the capabilities and skills of logistics manpower necessary in the Industry 4.0. To this end, the supply and demand status of logistics personnel was examined through a full survey of logistics curriculum of domestic universities, case analysis of successful overseas logistics education and training programs was attempted, and the skills and capabilities for logistics professional were comprehensively presented through in-depth literature research. As a policy recommendations for future training and education of logistics professional following policies are suggested; necessity of national standard logistics competency map and integrated platform for national logistics capabilities/skills development, creation of industry-university co-education/training ecosystem and education programs for new logistics professional in response to digital transformation and COVID-19 pandemic.