• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.215-235
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• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• Journal of the Korean Professional Engineers Association
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• v.37 no.2
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• pp.34-36
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• 2004

우리나라의 과학기술은 지난 40여년간 국가 산업발전에 발맞춰 고도성장을 효과적으로 뒷받침, '60-'70년대 모방$.$학습단계 '80년도 내재화단계를 거쳐 '90년대이후 신기술 개발경쟁에 뛰어드는 혁신단계로 진입, 장기간의 과감한 투자로 과학기술역량이 급신장, 연구개발비 '67년 48억\$\longrightarrow$'02년 17조 3,251억원(세계 6위), 연구원수 '68년 5,024명 \$\longrightarrow$'02년 18만 9,888명(세계 9위), 미국내 특허출원 10년간 평균증가율 32%(OECD 국가중 1위) SCI 논문게재수 5년간 평균증가율 15%(세계4위), 그러나 선진국과 비교할 때 양적$.$질적으로 미흡, '02년을 기준으로, 연구개발투자는 미국의 1/20, 일본의 1/10, 독일의 1/3수준에 불과, '01년 기준 상위 20개 기업의 연구개발비 총액은 50억불 정도로, Ford(74억불), GM(62억불)보다 적음, 인구 천명당 연구원 수 (2,98명)도 주요국에 비해 부족 일본 7.07명, 러시아 6.98명, 독일 5.90명, 대만 4.77('01년, IMD), 특히 신성장산업의 창출과 산업의 고도화에 직결되는 핵심원천기술이 취약, SCI 게재논문수는 세계 14위이나, 논문의 질적 수준을 나타내는 피인용도는 세계 31위('02년), 10대 성장동력 10대 산업과 관련되는 핵심기술의 평균 기술수준은 최고 대비 69.8%, 기술격차는 4.2년 - 디지털 TV/방송산업 74.9%/기술격차 3.1년, - 바이오 신약/장기 산업 61.2% 수준, 과학기술 및 과학기술자에 대한 사회적 인식이 낮음, 이공계 출신의 사회 각 분야 지도층 진출비율이 매우 낮음(16대 국회의원 8%, 3급이상 국가공무원중 기술직 비율 17.1% 등), - 민간의 경우, 10대 기업 임원의 53%가 이공계 출신, 100대 기업 CEO의 38.4%가 이공계 출신, 대입수능시험에서 자연계 지원비율이 감소 -40.1%('99)\$\longrightarrow$34.7%('00)\$\longrightarrow$29.4%('01)\$\longrightarrow$26.9%('02)\$\longrightarrow$30.3%('03)\$\longrightarrow$31.5%\$\longrightarrow$'04)

• Korean Journal of Construction Engineering and Management
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• v.8 no.5
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• pp.132-141
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• 2007

According to the public information of the Ministry of Education & Human Resources Development, the construction project of educational facilities from 2005 to 2007 will use BTL (Build-Transfer-Lease) contract. Budget of those projects will be the worth over 13 trillion won. In this research, the estimation standards for the public health maintenance expenses are established which is the part of the operation and maintenance cost in the total BTL project cost. Also, a system core module using the developed standard was introduced in this paper. A comparative analyses were conducted with the several possible estimation case to validate the system developed.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.77-86
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• 2010

Recently, Enterprise Architecture (EA) has emerged as the important keyword in both private and public sectors. With this phenomenon, there are tremendous need for the measures of EA functions, one of the key EA research variables, to provide academic insights and accumulate research findings in this area. Thus far, multiple definitions and concepts for EA functions exist, causing confusion among observers. Thus, in order to clarify the conceptual meaning behind the term "functions of EA" once and for all, this study reviews previous literature and provides conceptual definition. Then, we identify 24 items and rigorously develop and validate the measurement instrument for EA functions, which results in five domains: Infrastructure Systemization, Integration Management, IT Governance Support, Development and Operation Management, and Investment Management.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.383-392
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• 2022

Culture technology is contributing to the creation of new values through convergence with other industries. The government is also actively investing in R&D in this field to secure competitiveness. In this study, the R&D efficiency of culture technology is analyzed by characteristics. Data envelopment analysis and non-parametric tests are performed on 968 national research projects in 2016-2019. As a result, it is confirmed that there are a difference in R&D efficiency according to the characteristics of national research projects in culture technology sector. This suggests that when planning national research projects for culture technology, these characteristics should be taken into consideration and strategically promoted.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.120-125
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• 2010

The priority job training program is one of key training programs in Korea. This training program has some fundamental problems. The process of selecting the detailed training jobs does not reveal the true training demand of industry sectors. The contracting-out process and control mechanism of the priority job training program show several weaknesses from the points of success conditions of contracting-out public services. In this paper, I proposed development strategies of the priority job training program. The contract period should be longer than one year so that the training institutions may invest for improving quality of training in the longer perspective and reduce transaction costs. The training fee pay mechanism should be more performance-based.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.462-467
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• 2001

There are growing interests for knowledge-based information to build up competitiveness both in public and in private. Construction industry compared to other industries, shows strong knowledge usages in products and process. R&D investment over the construction industry has been decreased since economic crisis (IMF), so technology status of domestic construction industry has gap of 4.6 years with developed countries. Information infra also lowers in use of information and investment than other industries. In case of knowledge management, usage of information technology and vision establishment show high status but knowledge sharing and evaluation stay in low level. For the administration of knowledge-based information, there are needs of continuous R&D investments, educations for inspiring employees to knowledge share, systems for knowledge estimation and evaluation, and organizational culture.

• Journal of Korea Technology Innovation Society
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• v.18 no.4
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• pp.561-589
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• 2015

Up to present science and technology (S&T) policy in Korea has focused on producing academic papers and patents through the increase of investment on research and development (R&D). However, as the role of science and technology on boosting national economy has been emphasized and the current government has established 'creative economy' as a main policy agenda, 'technology commercialization' has been moving onto the center of S&T policy. Technology commercialization policy encourages R&D outcomes of public R&D institutions to be utilized in private firms for their new business development, and this concept is in line with out-bound open innovation, in the sense that it involves the flow of technological knowledge from public R&D institutions to private firms. Based on this understanding, this paper analyses government technology commercialization programs and attempts to suggest policy implications. The results suggest that future technology commercialization policy (1) be specialized in a way of reflecting the characteristics of each government ministry, (2) strongly support technology licensing-out, (3) strengthen the linkage between each programs, and (4) nurture expert groups, such as accelerators who can help and foster technology start-ups.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.140-140
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• 2010

최근 정부가 저탄소 녹색성장을 새로운 국정비전으로 제시하고 혁신적 그린에너지 기술개발을 위해 연평균 20%이상의 R&D 예산을 증액하고 있는 상황에서 연구개발결과의 상용화율 제고를 위한 연구기획, 평가, 관리시스템의 개선이 시급한 실정이다. 특히 선진국의 경우 최근 3년간 에너지분야 R&D의 상용화율이 미국 35.9%, 유럽 46.8%로서 24.2%인 한국에 비해 매우 높다고 할 수 있다. 이와같은 격차가 존재하는 것에 대해서 다양한 요인을 생각해볼 수 있겠지만, 크게 시장적인 또는 산업적인 측면에서의 중요도를 기준으로 연구과제를 선정하지 못하고 있다는 점과 연구개발결과를 효율적으로 사업화하고 있지 못하고 있다는 점을 생각해볼 수 있다. 특히 에너지 분야는 대규모 자금의 초기소요 및 개발기술 상용화기간의 장기화등으로 인해 사업화 실적이 타산업대비 매우 저조한 편이다. 이와같은 연구결과의 사업화와 관련된 문제점을 극복하기 위한 노력으로 국내에서 다양한 형태의 기술사업화 지원프로그램이 운영괴고 있으나, 에너지 분야에 특화된 프로그램은 부족한 상황이다. 반면에 미국의 경우, 재생에너지 R&D분야 전문투자자 그룹인 클린테크그룹 등을 중심으로 2002년부터 현재까지 다수의 녹색기술분야에 특화된 기술사업화 지원 프로그램을 운영하고 있다. 그 결과 현재까지 약 9년간 총 16억$의 투자유치에 성공함으로써 민간투자 활성화 역할을 담당하고 있다. 따라서 국내의 경우에도 이와같은 에너지 R&D 결과를 효과적으로 사업화로 연계시킬 수 있는 관련 프로그램 등이 시급히 도입되어야 할 것이다. 본 논문에서는 국내의 사업화 부진문제를 해결하기 위한 하나의 방안으로서 올해부터 정부주관으로 시행되고 있는 녹색인증사업을 활용하여 사업화가 유망한 기술 및 기업을 선별하고, 이에 대해 사업화 지원을 위한 후속프로그램을 적극 지원함으로써 연구개발결과의 경제적 활용도를 획기적으로 개선하는 방안을 제시하고자 한다. 또한 사업화 지원프로그램의 효율성을 높이기 위해 수도권, 영남권, 호남권 등 지역별 TP 등을 중심으로 기술사업화 협력 네트워크를 구축하고, 이를 기반으로 한 수요기술조사, 기술마케팅, 투자자유치 등의 관련프로그램을 개발하여 전단의 시스템과 융합시킴으로써 향후의 정부주도 R&D결과의 상용화율을 제고할 수 있는 시스템을 제안하고자 한다. 이에는 에너지 R&D분야별 기술적 시장적 특징분석, 지역별 산업특성과 기술공급 서플라이 체인분석을 토대로 한 기술이전 잠재수요기업 투자자를 대상으로 한 맞춤형 기술사업화 프로그램 등이 포함된다. 마지막으로 제안된 시스템에 대한 타당성 검증을 위해 올해년도에 시행한 녹색인증 기술사업화 연계프로그램 및 기술사업화 협력네트워크 활용사례 등을 분석하고, 향후 발전방향으로서 기술사업화 유관기관간간 기술사업화 정보교환 및 사업화 유망기술 기업 마케팅 등을 기본내용으로 한 시장지향적 녹색에너지 R&D 관리 시스템 구축방안을 제시하고자 한다.

• Information Systems Review
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• v.12 no.2
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• pp.189-203
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• 2010

Is presenting guidance of information performance measurement as government PRM version 2.0 these common reference models in public sector. Government PRM is consisted of assessment classification system and standard line of sight and performance management standard form. Through this, is sorting performance element and define cause-and effect. Government PRM is supplying measurement categories at assessment classification system, but relative importance for application standard by measurement categories is not presenting. In this study, importance for government PRM's measurement categories been applying by commonness Test of information performance measurement of public sector wishes to deduce estimation and priority. Research model used Fuzzy QFD, and designed so that can reflect well PRM's development purpose. I applied Fuzzy AHP and FPP method that graft together fuzzy theory to minimize uncertainty and ambiguity in that expert opinion. Is drawn to element that "Standard model offer for information department and management" is the most important in government PRM's development purpose. "Quality of service" is showing the highest priority in customer results in measurement category. Importance for government PRM's measurement categories can offer common valuation basis in government and public institution. Hereafter if examine closely quantitative cause-and effect for structure model of measurement classification system when study government PRM more objective and efficient reference model become.