• Digital Contents
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• no.5 s.144
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• pp.12-13
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• 2005

국가경제가 새롭게 도약하기 위해서는 고부가가치 기술을 지닌 혁신형 중소기업을 육성하는 것이 최우선 과제임은 이미 잘 알려져있다. 그동안 중소기업이 기술진보 등 경제환경 변화에 효율적으로 대응하지 못한 구조적인 문제점이 가장 큰 중소기업 경영애로의 요인으로 작용했다. 이에 지난해 12월 취임한 양해진 중소기업정보화경영원장은 그동안 중소기업 보호정책을 탈피, 중소기업이 기술혁신 능력을 갖춰 혁신 주도형 중소기업으로 육성하겠다는 포부를 밝혔다.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.11-23
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• 2012

This study makes an attempt to understand the changes in the National R&D policy by the comparative analysis in terms of R&D policy regime. We characterize the related issues on the National R&D policy, and analyze the direction of science and technology(S&T) policy using the method of scientometrics. The result shows that the policy regime can be categorized into three groups with respect to the R&D efficiency and the keywords; Regime 1: National S&T Innovation 5-year Plan(1999-2002) and National S&T Master plan of the previous adminstration(2003-2007), Regime 2: National S&T Master Plan(2002-2006) and National S&T Master Plan of the previous administration(2003-2007), Regime 3: National S&T Master Plan of the current administration (2008-present).

• Journal of Digital Convergence
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• v.15 no.10
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• pp.133-150
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• 2017

In this study, the performance of the technological innovation of small and medium enterprises is divided into short-term aspects of technological innovation and long-term aspects of ambidextrous innovation, and the effects of dynamic capabilities affecting these achievements are explored. For the purpose of conducting empirical analysis, the survey conducted a survey of 219 small businesses belonging to various industries, and dynamic capabilities performed a parallel multi-parameter analysis to demonstrate the effectiveness of technological innovation performance, including exploratory innovation and exploitative innovation. Through this study, it aims to understand the dynamic capabilities of the small and midsize enterprises and provide suggestions on how to manage of the company, thereby improving the understanding of dynamic capabilities and helping to improve the management of small and medium-sized enterprises.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.749-749
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• 2017

최근 들어 사회문제 해결형 과학기술혁신 활동이 활성화되고 있다. 과학기술정보통신부에서 추진하는 국민생활연구사업, 그리고 혁신본부에서 기획하고 있는 사회문제 해결을 위한 다부처 공동 기획사업 등이 추진되고 있다. 사회문제 해결형 과학기술혁신은 사회문제 해결을 최우선 목표로 삼고 있기 때문에 수월한 과학기술지식의 창출, 산업경쟁력 강화를 위한 혁신과는 목표와 추진체제가 다르다. 사회문제 해결형 과학기술혁신은 사회혁신과 과학기술을 결합하는 활동이라고 할 수 있다. 이렇게 새로운 유형의 혁신활동이 등장하면서 이를 바라보는 다양한 관점이 존재하고 있다. 본 발표에서는 각 논의들을 정리하고 향후 사회문제 해결형 과학기술혁신의 발전방향을 제시한다. 여기서는 크게 3가지 분류로 사회문제 해결형 혁신을 보는 관점을 정리한다. 첫 번째는 전문가 중심의 관점(Innovation for people)이다. 이는 전문가가 분석과 논의를 통해 사회문제를 정의하고 그 대안을 제시하는 접근이다. 많은 과학기술전문가들이 가지고 있는 틀로서 선형모델에 입각한 논의이다. 때문에 혁신의 선형모델이 가지고 있는 문제점, 피드백의 부족, 현장에 대한 이해 부족 등과 같은 단점이 있다. 두 번째는 시민사회 중심의 관점(Innovation by people)이다. 이는 현장의 문제 상황에 있는 시민들이 문제를 정의하고 혁신활동을 주도해야 한다는 관점이다. 이 관점은 일반 시민을 과학기술혁신의 주체로 호명하고 실질적인 문제 해결에 참여시키면서 주류 과학기술의 미흡한 현장 지역 지향성을 비판하고 있다. 그러나 혁신의 논의가 지역에 한정되면서 규모 확대의 어려움을 겪는 경우가 많다. 장기 지속성을 확보하는 데에도 난점이 있다. 세 번째는 전문가와 시민의 협업 관점(Innovation with people)이다. 이는 시민성과 전문성의 결합을 통해 민주주의를 고양하고, 현장 지식과 전문 지식의 융합을 지향하는 접근이다. 또 리빙랩과 같은 추진 체제를 적극적으로 활용한다. 그러나 전문가와 시민사회의 협업을 지원하는 인프라와 지원체제가 부족하면 여러 문제점이 발생할 수 있다. 본 연구에서는 이런 관점들의 한계를 극복하기 위해서 국지적 문제해결과 국가적 문제 해결의 연계, 실험의 중요성 강조, 전문가와 최종 사용자 및 시민의 실질적 협업을 위한 기반 구축, 시스템 전환 프레임의 도입을 정책 방향으로 제시했다.

• The Science & Technology
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• v.35 no.1 s.392
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• pp.26-28
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• 2002

• 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 Technology Innovation
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• v.17 no.2
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• pp.25-53
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• 2009

The purpose of this paper is to analysis sectoral patterns of technological innovation in Korean manufacturing sector. Pavitt(1984) put forward a well-known taxonomy that industries three groups of industries characterized by markedly different innovative modes, namely science-based, production-intensive and supplier-dominated industries. Using Pavitt's taxonomy as a framework, we try to explain similarities and differences among sectors in the sources and impact of innovations. Based on a sample of 2,371 firms in manufacturing industry, this paper investigated its relevance to explain the sources and directions of innovative activities in Korean industries. Empirical study shows that in supplier dominated firms most process innovations come from suppliers of equipment and materials. In science-based firms product innovation is produced internally, based on the rapid development of the underlying sciences in the universities and research institutes. It also shows that production-intensive firms have a positive association between innovativeness and customer collaboration. This explanation has implications for our understanding of the sources and directions of technical changes, the formation of technological advantages at the level of both region and country.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.99-133
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• 2015

Responsible Research and Innovation (RRI) is a concept emerging rapidly as a theoretical and methodological framework to shape science for better society, instead of merely for economic growth. While the responsibility of science usually means ethics of researchers in the process of research, RRI extends the concept of the responsibility by claiming that researchers should be responsible for the purpose and outcome of research as well. In addition, RRI proposes four interconnected concepts of anticipation, reflectivity, deliberativeness/inclusiveness, and responsibility as a methodological framework to achieve these tasks. However, RRI is not merely a theoretical concept but has been already practiced at many levels in real world. We discuss how RRI has been practiced and played important roles in reflecting on research and innovation policies in the past and guiding new policies by examining two research projects, STIR and SPICE, and three national R&D programs, EPSRC's embracement of RRI in the Britain, MVI in the Netherlands, and R&D for social problem-solving in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.35-45
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• 2012

This study empirically analyzed how technological innovation performance of venture business is affected by utilization of external resources, especially utilization of external cooperative network, government's policy funds and venture capital funds, using '2008 Venture Business Investigation'. This study further analyzed how the effect of utilization of external resources on technological innovation performance varies according to growth stage. Analysis results show that all variables related to utilization of external resources, i.e. external cooperative network, government's policy funds and venture capital funds, were observed as affecting positively to technological innovation performance. However, adjustment effect was not observed as statistically meaningful according to growth stage of venture business. Further analysis just observed that the effect on technological innovation performance at each growth stage varies according to type of utilization of external resources.

• 혁신정책Brief
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• s.6
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• pp.1-30
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• 2005