• Information and Communications Magazine
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• v.32 no.1
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• pp.21-23
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• 2014

본고에서는 미래창조과학부 ICT R&D 사업 중 융합SW 분야 중점 추진 방향과 개편 내용에 대해서 알아본다. 융합SW 분야 R&D는 응용SW, 응용플랫폼, 인공지능응용SW, 인터넷SW 등 4개 중점분야에 대해 국가 정책 전략 중심의 선도원천 기술개발 지원 사업과 기업의 혁신적 아이디어를 기반으로 글로벌 사업화를 추진하는 GCS(Global Creative Software) 지원사업으로 추진된다.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.271-272
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• 2015

정부의 ICT R&D는 전체산업 관점과 거시적 목적 지향적인 R&D 추진체계에서 필요한 R&D 목적달성을 위해 R&D투자재원의 효율적 배분이 매우 중요한 기능이 된다. 즉, R&D재원배분에 대한 다양한 기준들이 존재할 수 있으며, 이러한 상충적 배분기준들 사이에 객관적이고 효율적인 재원투자의 우선순위와 가중치가 기본적으로 필요하게 된다. R&D계획수립과 지원 분야선정을 위한 방법론으로 보편적으로 사용되고, 현장적용에 객관성을 확보하고 있는 AHP(Analytic Hierarchy Process) 모형을 통해 상충적 다중의사결정에 발생하는 기준의 선호에 대한 쌍대비교를 통해 객관적 선택기준과 대안적 선택에 대한 의사결정 프레임워크를 제공해준다. 따라서 본 연구에서는 정부의 ICT산업경쟁력 제고 목적달성을 위한 투자부문과 기술분야에 대한 실증적인 의사결정구조와 재원배분안을 제시하고자 한다.

• 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 Society for Library and Information Science
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• v.58 no.1
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• pp.255-283
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• 2024

In this study, as a preliminary research to effectively support data-driven R&D of researchers, we analyzed the academic information and data requirements for researchers to discover new types of academic information and datasets, and to propose directions for academic information services. To achieve the research objectives, we conducted an exploratory case study involving five researchers and administered an online survey among ScienceON users to glean insights into data-driven R&D behaviors and information/data requirements. As a result, researchers relatively referred to academic papers, datasets and software information from academic papers or conference materials. Moreover, the methods and pathways for acquiring data, as well as the types of data, varied across different subject areas. Researchers often faced challenges in data-driven R&D due to difficulties in locating and accessing necessary datasets or software such as learning models. Therefore it has been analyzed that for future support of data-driven R&D, there is a need to systematically construct datasets by subject. Additionally, it is considered necessary to extract and summarize dataset and related software information in conjunction with academic papers.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.445-448
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• 2012

본 연구는 R&D 정보 시각화를 위한 네비게이션 선행연구이다. 지금까지 R&D서비스에서는 연구 기획 단계에서부터 사업화에 이르기까지 기존의 연구 성과에 대한 조사 분석을 포함해서 해당 연구 주제에 대하여 기술동향, 시장분석, R&D정책 등 다양한 정보를 종합적이고 전략적으로 활용할 수 있는 정보 서비스가 부족하거나 제한적이었다. 이런 문제를 해결하기 위하여 본 논문에서는 서비스 디자인 방법론에 입각하여 R&D정보서비스의 서비스 디자인 프로세스를 사용하여 R&D 담당자와 UX 디자이너가 참여하는 사용성 평가와 서비스 디자인 방법론 수행 후 사용자 니즈를 분석해 보았다. 국가R&D정보와 관련된 정보처리기술 및 정보자원에 대해서는 기존 KISTI에 가지고 있는 국가R&D정보와 NDSL를 연계하고 이를 활용하여 연구자의 R&D활동에 관련된 문제해결을 지원하는 서비스 체제를 구축하고자 한다. 본 논문에서는 국가R&D정보 서비스 체제 구축을 위해 서비스 디자인 방법론과 사용자 분석을 통해 R&D정보 서비스의 개선 방향을 알아본다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.225-232
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• 2012

The purpose of this study is to explore the necessity of technology commercialization aiding service from government-supported R&D institutions and find key success factors for market performance improvement of business ventures and SMEs. For this aim, we researched relevant theories and KICET(Korea Institute of Ceramic Engineering and Technology)'s "Ceramic Hidden Champion Supporting Project. As government-supported R&D institutions, KICET is not only providing its original main service which is technology advising and development, but also providing a full range of technology commercialization aiding service for business ventures including diagnosis, strategy planning, capital procurement, overseas marketing activity. Qualitative analysis based on relevant theories and meta-analysis framework suggest that such expansion of services is desirable for government-supported R&D institutions to increase market performance of business ventures and SMEs. To lead this business to success, we should develop effective management system and incentive system for external supporting companies and client companies. Also, coordination between team member's activities and budget procurement issue should be solved for further performance creation.

• Journal of Korea Technology Innovation Society
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• v.15 no.4
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• pp.815-836
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• 2012

Corporate Laboratories have been a key driver of Korea's economic growth through attaining technology competitiveness. The study is focused on selecting outstanding small and medium corporate laboratories with high R&D capability and fostering the selected laboratories. The main topics of this study are to establish logics regarding the selection process and to propose the implementation schemes of the process. For the selection of outstanding laboratories, this study presents a evaluation indicators based on logic model and verification of the validity of following evaluation indicators through a Pilot test. The evaluation indicators from this study are expected to be in practical use as a reference for support policies of outstanding laboratories' R&D activities. For corporations, these indicators can be used to examine their R&D capability. This study also suggests differentiated policy support measures using the findings to maximize the effectiveness of the selection process.

• Knowledge Management Research
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• v.12 no.1
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• pp.111-121
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• 2011

Multinational Corporations (MNCs) are establishing globally-distributed R&D centers around the world. Firms can overcome resource constraints and achieve superior innovative performance not only by using internal resources but also acquiring knowledge from oversea R&D centers. This paper explores the key factors that have been cited as significant influences on the ability to transfer knowledge, an important area of knowledge management of MNCs. Also, we identify the emerging outcomes in terms of R&D transfer and for the education, employment, and retention of knowledge works in MNCs. The result will be helpful for both MNC's managers and governments' decision makers with respect to R&D centers.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.8
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• pp.533-539
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• 2013

Korea is one of the top countries that has funded great amount to promote basic research and others in recent decade. While the quantity of R&D fund in Korea has rapidly increased, the effectiveness and quality of R&D outcomes became a controversial issue. National Research Foundation of Korea (NRF) and Korea Environmental Industry & Technology Institute (KEITI) agreed to collaborate for diffusing and utilizing R&D outcomes of each institute. NSF and KEITI signed the bilateral MOU in 2012, and Interministerial Collaborative R&D Support Framework (ICR&DSF) was developed. The ICR&DSF consist of launching an Eco-Bridge Program as an interministerial R&D program and composition of Environmental Convergence R&D Bridge Committee. The Eco-Bridge Program was applied to 'Environmental Convergence Technology Project' of KEITI as a pilot program in 2012. The unique feature of this interministerial R&D program is that the Eco-Bridge Program directly supports the basic research outcomes which are previously funded by NRF. As the collaboration between NRF and KEITI becomes stronger, it is expected to explore the more creative and the more transformative research.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.37-63
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• 2014

This study is intended to demonstrate how different factors induce the Korean government's direct investment in research and development according to the type of business enterprise in Korea. We analyzed that what factors made the government directly invest in research and development by using a total of 18,272 company panel data, which are not limited to specific industries or government-led research and development (R&D) programs. The results showed that the direct investment for R&D by the government led to the increase in the number of researchers in SMEs. For major companies, the direct investment resulted in the increase of sales and company's own R&D expenses. Moreover, this study found that government's direct support for R&D even led to the decrease of SMEs' own R&D expenses; however, this result was not statistically significant. In addition, the most significant factor to increase both SMEs' and major company's own R&D expenses was the sales amount of the company, rather than government's direct investment for R&D. The factor that increases sales was the company's own R&D expenses, rather than government's direct investment for R&D. Through the analysis using Mixed Effects Model, this study suggested the policy should be changed to make SMEs invest in its own R&D expenses, rather than to secure researchers of SMEs by government's direct investment for R&D.