• Journal of Korea Technology Innovation Society
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• v.9 no.3
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• pp.578-605
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• 2006

This paper aims to review the regulations in the field of science and technology administration, especially the legal regulations in the management of public technologies. For this purpose, after reviewing the legal system and contents of regulation, analyze and estimate the adequacy and validity of them. So that, in this paper it is layed emphasis on that whether the regulation system is proper in point of legalism or theory of regulation law, and the regulations are appropriate when comparing with that of foreign countries, and the improvement is necessary in operating regulation system itself.

• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.489-496
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• 2010

Since the specifications of public services in broadcasting-telecommunication convergence environment are not standardized, the public services should be developed and presented by each IPTV service provider, and therefore it is worried that public organizations and IPTV service providers may invest in the public services redundantly, which are managed inefficiently. To resolve those problem, in this paper, the service and network interfaces among multiple public organizations and multiple IPTV service providers and the interactive VOD-type public service providing system of one source multi-use based on ACAP-J are proposed. The proposed system can be utilized in the standard platform of the evolved new public services. And the used technologies can be utilized as a guide for the development of new services.

• Journal of Korea Technology Innovation Society
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• v.12 no.3
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• pp.638-661
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• 2009

With the advance to the knowledge-based economy, science and technology (S&T) has been recognized as key factor in a nation's competitiveness. To cope with this kind of new trend Korean government has tried to increase the R&D investment and to streamline acts and regulations concerning national R&D activities. Korea's total R&D expenditure for the year 2007 amounted to about 31.3 trillion won including government R&D of 8.9trillion won. With these efforts the capacity of Korea S&T has made great strides recently. Korea was ranked world's top 7 in R&D investment, top 12 in S&T paper publication and top 4 in patent application. Korean government enacted several pieces of legislation concerning S&T : the "Technology Transfer Promotion Act (1999)"; the "Framework Act on Science and Technology (2000)"; and the "Presidential Regulation for Managing the Government R&D Programs (2001)." In addition, the government has put a lot of effort into promoting the commercialization of technologies developed in public sector and improving the infrastructure of technology transfer and commercialization. However in spite of these various efforts, the technologies obtained from the public sector have not been transferred to the industry properly. Only 24.2% of technologies developed in the public for the year 2005 were transferred to industry. The royalty revenues of the public for the year 2005 was 1.5% of their total R&D expenditure. It shows only a third of the percentage of royalty revenues for the public sector in the U.S.A. and a second of Europe. There are many obstacles of public technology transfer such as immaturity of technology market, lack of licensing experience, and inadequacy of legal system and government policy. In this study I compared the Korean legislative system of patent management of government R&D outputs with the American system, derived problems from Korean system, and suggested proper alternatives.

• Journal of the Korean Society for Marine Environment & Energy
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• v.19 no.2
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• pp.165-171
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• 2016

In this study, the characterization of projects and analysis of R&D products and commercialization performances were done to serve some implications on the policy decisions related to the commercialization of R&D in marine and fisheries sector. A total of 212 R&D projects with 144 ones for marine and 68 for fisheries performed for 5 years, from 2010 to 2014, were sorted and analyzed on the respect of government budget, main performing body, and research period. The R&D result and commercialization performance were substituted to quantitative indicators, such as the number of published papers, the number of patents, the amount of the technology royalty, the number of technology transfers, and the improvement of public service, which were subjects to be analysed. Based on the results, this study suggests the policy implications for the success of national R&D program; 1) diversifying the main performing body, 2) operating the system for sharing research infrastructures among researchers, 3) introducing the adaptable R&D program management, 4) expending the portion of grants without detailed requests for proposal, and 5) leaning the investigation of R&D budgets on projects focusing on the practicalization and commercialization.

• Journal of Technology Innovation
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• v.17 no.1
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• pp.1-48
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• 2009

Recently we have found some symptoms that R&D fiscal incentives might not work well what it has intended through the analysis of current statistics of firm's R&D data. Firstly, we found that the growth rate of R&D investment in private sector during the recent decade has been slowdown. The average of growth rate (real value) of R&D investment is 7.1% from 1998 to 2005, while it was 13.9% from 1980 to 1997. Secondly, the relative share of R&D investment of SME has been decreased to 21%('05) from 29%('01), even though the tax credit for SME has been more beneficial than large size firm, Thirdly, The R&D expenditure of large size firms (besides 3 leading firms) has not been increased since late of 1990s. We need to find some evidence whether fiscal incentives are effective in increasing firm's R&D investment. To analyse econometric model we use firm level unbalanced panel data for 4 years (from 2002 to 2005) derived from MOST database compiled from the annual survey, "Report on the Survey of Research and Development in Science and Technology". Also we use fixed effect model (Hausman test results accept fixed effect model with 1% of significant level) and estimate the model for all firms, large firms and SME respectively. We have following results from the analysis of econometric model. For large firm: i ) R&D investment responds elastically (1.20) to sales volume. ii) government R&D subsidy induces R&D investment (0.03) not so effectively. iii) Tax price elasticity is almost unity (-0.99). iv) For large firm tax incentive is more effective than R&D subsidy For SME: i ) Sales volume increase R&D investment of SME (0.043) not so effectively. ii ) government R&D subsidy is crowding out R&D investment of SME not seriously (-0.0079) iii) Tax price elasticity is very inelastic (-0.054) To compare with other studies, Koga(2003) has a similar result of tax price elasticity for Japanese firm (-1.0036), Hall((l992) has a unit tax price elasticity, Bloom et al. (2002) has $-0.354{\sim}-0.124$ in the short run. From the results of our analysis we recommend that government R&D subsidy has to focus on such an areas like basic research and public sector (defense, energy, health etc.) not overlapped private R&D sector. For SME government has to focus on establishing R&D infrastructure. To promote tax incentive policy, we need to strengthen the tax incentive scheme for large size firm's R&D investment. We recommend tax credit for large size film be extended to total volume of R&D investment.

• Journal of Korea Technology Innovation Society
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• v.16 no.4
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• pp.1032-1054
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• 2013

An increase of national R&D has brought the growth of research performance such as paper and patent quantitatively. However, the results of technology transfer and commercialization still leave much to be desired in Korea. Therefore, it has to be drawn up a plan for effective management & application of research performance created by public research institutes. We select four leading institutes (two universities, two government-funded research institutes) that performed efficient performance management & application. Then, we analyze the best practices and suggest contributions. The results show that four institutes build up a framework of performance management & application from research planning to technology transfer and commercialization. At an early planning phase, institutes set up definite needs-oriented goals, and prior review as well as prior art search is executed through experts. Besides, they systematically promote strategic patent management, technology marketing, post management, and so forth. For such a performance management & application process, capabilities have to be supported with regard to specialized organization, system, routine. This study can give an hint to improve performance management & application from public research institutes in Korea.

• The Journal of Bigdata
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• v.6 no.2
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• pp.71-84
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• 2021

Since small and medium-sized enterprises fell short of the securement of technological competitiveness in the field of big data and artificial intelligence (AI) field-core technologies of the Fourth Industrial Revolution, it is important to strengthen the competitiveness of the overall industry through technology commercialization. In this study, we aimed to propose a priority related to technology transfer and commercialization for practical use of public research results. We utilized public research performance information, improving missing values of 6T classification by deep learning model with an ensemble method. Then, we conducted topic modeling to derive the converging fields of big data and AI. We classified the technology fields into four different segments in the technology portfolio based on technology activity and technology efficiency, estimating the potential of technology commercialization for those fields. We proposed a priority of technology commercialization for 10 detailed technology fields that require long-term investment. Through systematic analysis, active utilization of technology, and efficient technology transfer and commercialization can be promoted.

• Electronics and Telecommunications Trends
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• v.31 no.2
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• pp.51-62
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• 2016

인공지능(Artificial Intelligence: AI)이 사물인터넷, 빅데이터, 엄청나게 빠른 컴퓨팅 파워와 결합하고 있다. 이에 따라 인공지능이 인간과 같은 수준의 인지능력을 갖추게 되어 가까운 장래에 개인비서 기능뿐만 아니라 기업의 의사결정이나 고객관리를 비롯한 모든 비즈니스 부문에서 큰 역할을 할 것으로 기대된다. 해외의 주요 기술업체들은 AI를 핵심 R&D 분야로 삼고 각기 Application Programming Interface(APIs) 및 클라우드 서비스를 통한 인공지능 기술의 대중화에 힘쓰고 있으며, 개발자들은 이들 도구를 각자의 애플리케이션에 통합함으로써 수익기회를 창출하고 있다. 국내에서도 대기업 및 공공 R&D를 중심으로 인공지능 기술개발이 추진되고 있으나 관련 시장참여자 전체를 견인할 수 있는 기본 생태계 조성을 위한 정부의 지원이 필요한 상황이다. 본 연구는 인공지능 시장동향과 IBM 인공지능 생태계에 대해 개관하였으며, AI 산업체 의견을 반영한 국내 인공지능 산업 활성화 생태계 조성을 위한 제언으로 AI 플랫폼 지원, 인력문제 해결 그리고 공유의 장 마련이 필요하다는 점을 제시하였다.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.115-127
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• 2008

Many problems making the use and management of patents arduous is caused by the difficulty in knowing the proper value. This study has suggests the methods to evaluate the value of patents by using a quantitative assessment scale as an alternative or complementary measure instead of the existing subjective evaluation tools. This study is to find a method to determine the capability and level of research and establish the scheme of use and management of patents by using the citation index as a quantitative assessment measure. The data used in this paper has been obtained from a public-sector R&D institute, the K-Institute in Korea.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.207-210
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• 2018

인플루언서(Influencer)란 소셜 미디어에서 유난히 많은 영향력과 파급효과를 가지고 오는 사람들을 말하며, 이들이 만들어내는 콘텐츠는 이제는 자신들의 브랜딩을 넘어선 커머스(Commerce) 효과를 발휘하고 있다. 본 논문에서는 소셜 웹 그리고 공공데이터를 중심으로 뷰티 빅데이터와 방송 콘텐츠 빅데이터를 수집하고 분석하여 상호 상관성에 기반하여 화장품 관련 기업에서 CRM(Customer Relation Management), PLM(Product Lifecycle Management, SCM(Supply Chain Management System) 등의 경영정보시스템과 연계한 뷰티 분야에 최적화된 통합 경영정보시스템을 제안한다.