• Journal of Digital Policy
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• v.1 no.2
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• pp.41-45
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• 2022

In this study, we look at the current address of industrial complexes and the government's support policies for industrial complexes so far, examine the problems and improvements of industrial complexes in the era of great transformation, and then suggest how to innovate industrial complexes, and suggest the plans and tasks. want to report. To summarize the conclusion, in order to enhance the competitiveness and innovation of industrial complexes, which are the main axis of the national economy, a governance system in which the government, regional innovation organizations, and businesses cooperate must be established to transform industrial complexes suitable for the transition period and foster excellent industrial complexes. It is urgent to actively support the policy and budget input of each government department.

• 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.

• Journal of Korea Technology Innovation Society
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• v.2 no.1
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• pp.135-151
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• 1999

생명공학기술(biotechnology)은 보건·의료, 농업, 환경, 자원분야에서의 급격한 산업적 응용에 따라 21세기에는 세계경제에 막대한 파급효과를 보일 것으로 예상된다. 경제구조가 점점 고도화되어 한 국가의 기술능력이 산업경쟁력의 확보를 위해 그 중요성이 강조되는 상황에서, 미래첨단기술이라고 할 수 있는 생명공학기술에서의 성공여부는 앞으로 다가올 21세기의 국가 경쟁력 결정에 중요한 열쇠가 될 것이다. 본 연구는 이러한 상황인식하에 생명공학 기술에 대한 일반적인 현황과 전망을 살펴본 뒤 선진국의 생명공학기술 산업화 동향을 진단하고, 우리나라 생명공학산업 현황과 정부의 지원 정책을 조망한 뒤 생명공학산업의 활성화 방안에 대하여 의견을 제시하고 있다. 우리나라의 생명공학기술은 정부의 주도하에 산업계의 연구투자비 및 연구인력의 꾸준한 증대와 아울러 생명공학 제품도 수적으로나 판매규모면에서 큰 증가가 이루어져 왔다. 그러나 본질적으로 우리나라 생명공학기술에 대한 연구는 선진국에 뒤져있기 때문에 기초연구의 역량이 부족하고, 산업계의 과감한 기술개발 투자가 이루어지지 못하였으며, 또한 기술개발과 상업화를 위한 기술하부구조의 구축이 매우 미흡한 실정이다. 또한 WTO체제의 출범에 따른 지적재산권 보호의 압력이 높아지는 상황에서 설상가상으로 IMF체제까지 당하여 기업의 연구개발 능력은 매우 심각한 위기에 봉착하고 있는 것이다. 이러한 상황에서 생명공학산업의 활성화를 위해서는 정부의 역할이 더욱 필요하게 되었다. 본 연구에서는 이러한 상황인식하에 정부의 생명공학산업 활성화를 지원정책으로 연구자금, 시설 등 직접적인 지원정책 중심의 한계적 시각에서 벗어나 기업을 비롯한 기술혁신 주체간 상호작용과 기술혁신 환경조성을 위한 간접적 지원중심의 정책전환 필요성을 제시하고 있다. 또한 우리나라 생명공학 기술혁신시스템을 재정비하기 위한 중점 개선방안으로 연구개발 투자의 확대, 기초연구 역량의 강화, 벤쳐기업형 생명공학기업의 육성, 기술하부구조의 구축, 산업계·학계·연구소간 연계·교류 시스템의 강화를 제시하고 있다.

• 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.

• Korea Logistics Conference
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• v.10 no.2
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• pp.275-295
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• 2002

• Science & Technology Policy
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• v.18 no.5
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• pp.41-47
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• 2008

• Science & Technology Policy
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• v.12 no.3 s.135
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• pp.55-62
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• 2002

• Journal of Digital Convergence
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• v.10 no.6
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• pp.17-22
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• 2012

The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success. A hypothesis was established for the impact relation between technological innovation success and government support level, which was verified through the logistic regression analysis. In conclusion, in terms of government support, IT manufacturing companies to the success of product innovation, technology development(R&D) and commercialization of direct support is needed for the financial support. And, the success of process innovation is accomplished through manpower training of technical personnel.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3223-3231
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• 2010

For a long time, most of advanced countries have supported the innovative firms with various support methods such as tax credit, subsidy, human resource education, and so on. Tax credit for innovation is the most popular industrial policy in these countries including Korea. However, in Korea, the effect of tax credit policy has been rarely analyzed. On the other hand, a considerable number of studies discover that tax credit policy in other countries influences positively on invest of R&D expenditure. This paper shows that tax credit policy positively influences on firm's innovation performances in Korea. The evaluated innovative effect of tax credit policy in this paper is more persuasive because it introduces various innovation performance variables including patent application with Propensity score matching method(PSM).

• Journal of Internet Computing and Services
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• v.11 no.5
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• pp.37-58
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• 2010

This study analyzes appropriate government policy frameworks for promoting IPTV industry by studying the way of adoption and diffusion of IPTV services. Until recently, most researches on government policies for technology adoption have focused on the personal context. This research adopts two theories, i.e., innovation characteristics theory for personal context and implementation process theory for organizational context. It also hypothesizes that the innovation characteristics more influence on the behavioral intention for usage new media in the level of personal innovativeness is high. Moreover, in the level of expectancy for diffusion policy is high, the implementation of IPTV services more influences on the behavioral intention. The results by statistical analysis, it is found that the higher the level of personal innovativeness is, and the higher the level of expectancy for diffusion policy is, the more behavioral intention will be influenced by the characteristics of innovation and implementation of IPTV service. Thus it is important for government agencies to find the way to facilitate personal innovativeness as well as expectancy for diffusion policy.