• 제목/요약/키워드: government-led R&D project

검색결과 7건 처리시간 0.021초

Tacit Knowledge in Government-led R&D Project Selection

  • Kim, Eun-Hong
    • 기술혁신연구
    • /
    • 제13권2호
    • /
    • pp.223-237
    • /
    • 2005
  • This paper explains that tacit knowledge is a critical component for the success of government-led R&D project selection, where rapid and accurate decision making need to be made under lack of information circumstances. It also explores ways to fully exploit the tacit knowledge of experts participating in the Korean government's R&D project selection process. Some of these include: (1) strategic attention from the top officials, (2) forming self-organizing teams, (3) establishing a horizontal and risk-taking culture, (4) encouraging a sense of responsibility in creating and sharing tacit knowledge, and (5) providing a seamless monitoring system and training.

  • PDF

자유공모형 국가연구개발 과제의 특성 및 효과성 분석 : 중소기업 R&D를 중심으로 (The Performance of Grant-type Government R&D Project: Focusing on SME's R&D)

  • 홍슬기;배성주
    • 기술혁신연구
    • /
    • 제30권4호
    • /
    • pp.57-82
    • /
    • 2022
  • 최근 중소기업 혁신 지원 전략이 시장 중심의 혁신을 유도하는 방향으로 전환되면서 중소기업이 수행하는 정부 R&D의 세부과제 지원 유형 중 자유공모형 과제의 비중이 높아지고 있다. 본 연구는 이처럼 증가하고 있는 자유공모형 과제의 특성과 효과성에 대해 이론적으로 살펴보고 실증분석을 통해 어떤 조건에서 자유공모형 과제가 될 가능성이 높아지는지, 성과 측면에서는 어떠한 차이점이 있는지 알아보았다. 먼저 시장수요 중심으로의 국가 R&D전략 전환과 수요견인 혁신 관점에서 세부과제 지원 유형 중 자유공모형 과제의 특성과 의미에 대해 살펴보고, 자원기반 관점으로 자유공모형 과제가 성과측면에서 유리할 수 있다는 것을 이해하였다. 그 후 로짓분석과 성향점수매칭법 등 실증분석을 통해 자유공모형 과제가 될 확률이 높아지는 과제 특성과 수행기업의 특성을 밝히고, 자유공모형 과제가 연구비 1억원 당 더 많은 혁신 성과를 나타낸다는 결과를 얻었다.

함정 및 함정탑재 무기체계 연구개발사업의 설계단계 진입조건 검토 개선 방향 (A study on the Improvement Direction of Design Phase Entry Criteria Review for Naval Surface Ships & Onboard Weapon Systems R&D Project)

  • 황광룡;설동명;최봉완
    • 시스템엔지니어링학술지
    • /
    • 제19권1호
    • /
    • pp.79-90
    • /
    • 2023
  • In principle, R&D of general weapons systems are led by companies or government-funded organizations. In terms of project execution, the defense R&D planning system was reorganized to conduct SE-based project management by integrating the naval ship project execution procedure into the general weapon system R&D procedure. The development progress was confirmed according to the guide for SE application of DAPA, and a technical review meeting was proposed to enter into the each next phase in the R&D process. This paper focuses on improvement for technical review in terms of technical management based on system engineering for R&D mounted weapon systems and the naval surface ship project in preliminary design and detailed design. So, the improvement direction for reviewing the entry criteria for the R&D weapons systems of the naval ship and mounted weapons is proposed.

국민참여형 국가연구개발사업의 의미와 한계: X-프로젝트 사례를 중심으로 (Significance and Limitations of the Public Participatory National R&D Project: A Case Study on X-Project)

  • 박성원;진설아
    • 기술혁신연구
    • /
    • 제24권4호
    • /
    • pp.55-99
    • /
    • 2016
  • 이 연구는 국가연구개발사업에 국민을 참여시킨 X-프로젝트를 분석, 국민이 국가연구개발사업에 적극적인 관심을 갖게 하는 과정과 실제적 참여, 그리고 사회적 효과와 한계는 무엇인지 논의한다. X-프로젝트는 2015년 12명의 민간 위원이 추진하고 미래창조과학부가 후원하며 과학기술정책연구원이 지원한 사업이다. 국민은 일상에서 겪는 아픔이나 문제를 반영한 6,212개의 질문을 제기했으며, X-프로젝트 위원, 학계와 출연연 전문가, 정부정책담당자가 모여 50개 질문으로 국민의 요청을 연구과제화하고 연구팀을 공모했다. 대학, 정부출연연 연구자뿐 아니라 고등학생, 대학원생, 일반인, 기업인 포함 310개 연구팀이 신청했고 최종 54개 연구팀이 선정됐다. X-프로젝트 참여자, 비참여자 및 전문가 인터뷰 등을 통해 이 연구는 첫째, 국민참여형 국가 연구개발 사업의 필요성과 의미에 대해 광범위한 사회적 공감대를 발견했다. 대중의 아픔, 불편을 해결하기 위한 과학기술 연구의 필요성은 물론 이 연구에 대중의 직접 참여가 가능함을 발견했다. 둘째, 시민들이 생산한 지식이 전문가들의 시각에서도 유용하다는 발견이다. 전문 연구자들은 국민이 제기한 질문이 매우 참신하고 유용하다고 평가했다. 셋째, 국민참여형 국가연구개발 사업의 실행으로 시민들이 과학기술 발전의 수혜자가 아닌 발전에 기여하는 주체로 생각할 수 있는 기회를 인식했다는 발견이다. 그러나 국민의 참여를 지속적으로 이끌어 낼 수 있는 다양한 동기 부여, 국가 연구개발 사업의 아이디어 제기부터 연구에 이르는 전과정에 쉽게 참여할 수 있는 방법의 개선, 일반인 연구자와 전문 연구자가 협업할 수 있는 방법 및 제도의 개선은 앞으로의 과제로 지적되었다.

지역 과학기술 정책역량이 성과에 미치는 영향에 관한 연구 (A Study on the Influence of Regional Competency in Science and Technology Policy on Performance)

  • 김상균;강민정
    • 산경연구논집
    • /
    • 제10권8호
    • /
    • pp.55-65
    • /
    • 2019
  • Purpose - Recently, the fourth industrial revolution is rapidly progressing, and the central government-led innovation system is not able to flexibly cope with changes in science and the economy and society. To solve these problems, it is necessary for local governments, which can easily identify and flexibly respond to local sites, to become self-centered and ready to respond more quickly to massive changes. Through this research, this study investigated the awareness of the elements of Jeonnam Province's capabilities in the field of science and technology policy, the importance of R&D, and how network cooperation among the base institutions might affect performance. Research design, data, and methodology - In fact, the data used in this study only 115 people were polled, excluding five who did not respond to the necessary variables. The methods of the survey were sampled, and the means of the survey were investigated via a self-contained electronic file (e-mail). Statistical analysis, including hypothesis verification, was performed by SPSS 19. The regression analysis was used. Results - All factors significantly affect performance by dividing them into five sub-fields: R&D strategic establishment, R&D demand survey, R&D planning, R&D evaluation, and R&D project management. These results suggest the importance and need for local scientific technology policy capabilities. Besides, it was confirmed that the relationship between regional science and technology policy capabilities and performance was moderated by the recognition of the importance of science technology and network cooperation among the core organizations. Conclusions - As a result, independent variables regarding the capabilities of each scientific technology policy were found to be statistically significant and have a significant effect on performance. Second, the regression analysis has shown the moderation effects of R&D importance awareness between the capabilities of science and technology policies and their performance. On the other hand, a regression analysis showing that the capabilities of science and technology policies and network cooperation between the base regions were not significant, indicating that there is no effect of moderation of network cooperation between the base regions between the capabilities of science and technology policies and performance.

데이터 마이닝 기법을 이용한 군 통신·전자 분야 기술 분석 (Analysis of Defense Communication-Electronics Technologies using Data Mining Technique)

  • 백성호;강석중
    • 한국정보통신학회논문지
    • /
    • 제24권6호
    • /
    • pp.687-699
    • /
    • 2020
  • 정부가 주도하는 종래의 하향식 무기체계 개발방식은 기술의 발전속도가 급격하게 빨라짐에 따라, 기술 진부화라는 문제에 직면하게 되었다. 이에 따라 정부는 방위산업 분야에도 기업 주도의 상향식 사업추진 방식을 점진적으로 확대 적용해오고 있다. 상향식 사업추진 방식의 핵심 성공요소는 무엇보다도 방산 기업의 기술기획 역량이다. 본 논문은 국내 방산 기업이 기술기획 활동에 활용할 수 있도록 데이터 마이닝 기법을 통해 특허 데이터를 분석하는 방법을 제시하였다. 주요 내용은 군 통신·전자 분야에 해당하는 기업선정 기법을 제안하고 국제특허분류(IPC)에 대해서 주성분 분석과 군집 분석을 수행하는 것이다. 이를 통해, 9개 기업의 특허를 기반으로 군 통신·전자 분야의 기술을 4개의 그룹으로 분류하고 각 그룹의 대표 기업을 도출하였다.

기업과 대학간의 산학협력마케팅 전략모델 구축에 관한 연구 (Establishing a marketing strategy model for academic-industrial cooperation between companies and universities)

  • 윤정근
    • 유통과학연구
    • /
    • 제12권4호
    • /
    • pp.65-72
    • /
    • 2014
  • Purpose - Because of the emphasis on the necessity of academic-industrial cooperation between companies and universities, there are various ongoing academic-industrial cooperation programs led by the government. As government actively supports such cooperation as policy,and universities vitalize new technology development, academic-industrial cooperation between companies and universities is being recognized as an important growth engine for companies the competitiveness of academic-industrial cooperation is also attracting more interest. The government has vitalized human resource fostering, practical R&D, and technology transfer to companies since 2012 by executing a "leading university fostering project for academic-industrial cooperation." Based on an organic interlink among universities, industry, and research institutes, the government also created and is promoting several models of such cooperation between companies and universities to support shared growth of industry and local universities. The purpose of academic-industrial cooperation is growth and benefit fromtechnology development, technical cooperation, and technology transfer between companies and universities. Research design, data, and methodology - As more academic-industrial cooperation efforts are ledby companies due to the limitation in technology-focused commercialization cooperation, the academic-industrial cooperation system became fragmented and it is losing the potential for future advancement. Specifically, as differences between universities grow, academic-industrial cooperation between companies and universities based on new technology from universities is finding difficulty advancing,while systematic support from companies to enhance the performance of businesses created by academic-industrial cooperation is also insufficient. Accordingly, this study established a growth model for the advancement of academic-industrial cooperation between companies and universities and suggested a plan to strengthen the competitiveness and promote the future advancementof academic-industrial cooperation between companies and universities by analyzing the current situation of such cooperation and diagnosing its issues. Results - This study explored the concept and current status of academic-industrial cooperation relationships and analyzed related issues. For such cooperative organizations to be competitive, the employment environment of professional human resources for academic-industrial cooperation should be improved and measures to secure professional resources should be taken as early as possible. Though the academic-industrial cooperation now is being led by government, there is a limitation based on business models, which require creation of profit; however, an academic-industrial cooperation model still cannot stand alone without the support of government. This study also pointed out that a having only a plan to build competitiveness of companies and universities for academic-industrial cooperation is not sufficient. Conclusions - In order to increase the competitiveness of academic-industrial cooperation, a detailed growth-sharing model for academic-industrial cooperation should be developed, and there should be more joint development processes for the advancement of such cooperation in which the need for technology development can be verified in advance. In addition, beyond focusing on technology-focused academic-industrial cooperation, a network between companies and universities searching for ideas for academic-industrial cooperation in the fields of human and social aspects should be created. A new academic-industrial model linking current cooperation between companies and universities to the local area should be built based on such academic-industrial cooperation in human and social fields.