• 제목/요약/키워드: R&D Priority-Setting

검색결과 35건 처리시간 0.018초

대규모 R&D 프로젝트에 있어서 목표대체안 처리시스템의 구축을 위한 구조모형의 설계 (Design of Structural Models for Constructing a Goal Alternatives Disposition System in Large-Scale R&D Projectsr)

  • 권철신;조근태
    • 산업공학
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    • 제15권4호
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    • pp.460-473
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    • 2002
  • The objective of this paper is to design a Goal Alternatives Disposition System having three main subsystems for setting, evaluating and selecting goal alternatives. For setting of goal alternatives, System Alternatives Tree(SAT) structure will be developed, which has a computation algorithm for setting decision alternatives by the concept of System Priority Number(SPN). For evaluating and selecting of goal alternatives; First, Normative and Exploratory Priority Indices which consider technical performance to the goal, cost and feasibility are developed respectively. Second, Integrated Priority Index is built up to determine the total priority of the Goal Alternatives Disposition(GAD) system. For the design and verification of the GAD system, technological forecasting structure theory, systems engineering methodology will be used.

정부 R&D 투자의 우선순위 설정의 요인들 (Factors of priority setting in the government R&D investment)

  • 하민철
    • 디지털융복합연구
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    • 제12권12호
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    • pp.1-11
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    • 2014
  • 본 논문은 정부 R&D 투자의 우선순위 설정에서 작동하는 요소들을 검토하고, 그 과정에서 과학자 공동체는 어떤 역할을 하는지 검토하였다. 최근 선진국들에서 대규모 연구들이 예상한 목표를 달성하지 못한 것으로 평가됨에도 불구하고, 더 많은 대규모 연구들이 계획되고 추진되고 있다. 이러한 현상은 자원의 한정성이라는 근본적 문제를 고려할 때, 역설적인 것이다. 우리나라에서 추진된 대규모 연구들을 살펴본 결과, 국민 및 미디어의 관심 등 정치적 자원의 확보, 국가의 위상 제고, 기술자립을 통한 경제적 효과 제고 등의 요인들이 작동하는 것을 확인하였다. 그리고 그 과정에서 과학자 공동체는 전문성과 합리성에 따라 연구 과제를 선택하는 합리적 전문가로서 행동하는 것 뿐만 아니라 자기 분야의 대규모 연구 과제들이 채택되도록 노력하는 정치적 행위자로서 행동한다는 것을 확인하였다. 본 논문은 정부 R&D 투자의 우선순위 설정에서 대규모 연구에 대한 조급한 투자 결정을 줄이기 위해 공적 담론이나 국회의 심도 있는 심사 등의 새로운 절차가 필요함을 제시하였다.

AHP를 이용한 기계화분야 미래유망기술의 우선순위 설정 (Priority Setting for Future Core Technologies in Biosystems Engineering using the Analytic Hierarchy Process)

  • 이종인;김만수;조근태;김재한
    • Journal of Biosystems Engineering
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    • 제29권2호
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    • pp.187-194
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    • 2004
  • The study focused on setting priority among the future core technologies that were derived by Delphi in agricultural management & information using analytic hierarchy process(AHP). Items for setting priority were decided as ‘technology’, ‘market’, and ‘public concerns’by council. The future core technologies were divided into four parts by importance and R&D level. Technologies which consisted of upper two parts having higher importance were considered in the study. Questionnaires were given to 9 specialists in biosystems engineering. As the results, ‘market’ was decided as a most important item. The most important technologies were ‘Developing technology and system of post harvest processing for higher quality rice’ in group I, and ‘Developing sensor technology to evaluate quality and safety for agricultural products’ in group II.

한국의 국가전략기술분야 우선순위 설정에 관한 사례 연구 (Case Study of Priority-Setting of National Strategic Technologies in Korea)

  • 변도영;손석호;이정근;고대승;정근하;박병무
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 2002년도 제20회 동계학술발표회 논문집
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    • pp.183-203
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    • 2002
  • The governments investment in R&D has rapidly increased so that a comprehensive and coherent approach to resource allocation has necessitated. Therefore the need for priorities in science and technology has been increased according to growing resources to science and technology. This study presents the methodology, process and results of priority-setting of national strategic technologies(IT, BT, NT, ST, ET, CT) through which 77 national key technologies are selected based on the criteria. Specifically it is intended to identify strategically necessary areas of focus for R&D, help leverage limited resources most effectively, and help coordinate government R&D activities by supplying ministries with a common set of priorities.

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IT 유망 신산업의 우선순위 평가 (Priority Setting of New Promising IT Industries)

  • 이장우;민완기
    • 기술혁신연구
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    • 제13권1호
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    • pp.25-54
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    • 2005
  • In this study, priority setting model of new promising IT industries which will be the growth engines for the Korean IT industry, was established. Based on the AHP model, priority setting of IT new promising IT industries was conducted. Firstly, the selection cases of the new promising IT industries and major priority setting methodologies including the AHP methodology, were analyzed. The AHP model was selected as the most feasible methodology for priority setting of the new IT industries, among the various priority setting methodologies. Secondly, in setting up the AHP model for prioritization of the new promising If industries, a 'goal' was established to be priority setting of the new promising IT industries, and an 'alternatives' to be 18 new promising IT industries. Then a logical and a systematic assessment criteria including 5 main criteria('Technological Innovation', 'Market Ability', 'SPin-off Effect', 'Public Benefit', 'Strategic Importance') and 14 sub-criteria, were developed for priority setting of the 18 new promising industries. Finally, with the AHP model, the substantial analysis was made to set up priority of the 18 new promising IT industries. The substantial analysis showed the following priority setting results and implications for the 18 new promising IT industries.

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연구개발사업 우선순위 설정에 있어서 다속성효용이론(MAUT)과 계층분석과정(AHP)의 비교 (A Comparitive Study of MAUT and AHP in Priority Setting of R&B Projects)

  • 박주형;김정흠
    • 기술혁신학회지
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    • 제2권2호
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    • pp.201-218
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    • 1999
  • The article contains an introduction of possibility of applying Multi-Attribute Utility Theory(MAUT) for priority setting of R&D projects. MAUT is compared with AHP, which is widely used recently. These two techuiques are applied to set priorities of R&D projects In a Government-funded Research Institute. Six criteria are chosen from consultation with decision makers. They are composed of 1) validity as representative projects, 2) possibility of resource mobilization, 3) spillover effect of developed technologies, 4) possibility of success, 5) scope of participation and 6) clarity of research goal. To set priorities of R&D projects, SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement) out of many MAUT methods are used to design the utility function and to determine the weights among criteria. The aggregation model is additive on the assumption the criteria are independent. AHP executes pairwise comparisons for criteria and alternatives. From the results of the case study, the results and theoretical characteristics are compared.

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AHP를 이용한 미래유망기술 투자의 우선순위 설정 - 농촌개발 및 자원분야를 중심으로 - (Priority Setting for Future Core Technologies using the AHP - With Major Fields in Rural Development and Resources -)

  • 조근태;김성준;김대식;조영우;이종인
    • 농촌계획
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    • 제9권3호
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    • pp.41-46
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    • 2003
  • The study was focused on setting priority for future core technologies in rural development and resources using AHP. The technologies were derived by Delphi method. Evaluation criteria for the priority setting were decided as 'technology', 'market oriented', and 'public concerns' by council. The future core technologies were divided as four groups by importance and R&D level. Technologies in upper two groups were considered in the study. Group I had high importance and high R&D level. Group II had high importance and lower R&D level. Questionnaires were given to 9 specialists in agricultural resources. As the results, 'public concerns' was decided as a most important evaluation criterion. The most important technologies are "technology developing for animal feces and urine treatment, and restoration it to farm land" in group I, and "technology developing for agricultural by-products as energy source" in group II.

정부연구개발사업 투자현황분석 및 정책적 시사점 (An Analysis of Government R&D Investment and Its Policy Implications)

  • 손병호;오동훈;양희승
    • 기술혁신학회지
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    • 제4권3호
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    • pp.255-274
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    • 2001
  • This study aims to provide information about the priority setting and budget coordination of government R&D spendings in Korea. Based on the result of "Survey, Analysis and Evaluation of National R&D Programs"in FY 2000. this paper reviews the government R&D expenditures by the concerned variables such as program objectives, sector of performance, character of work and technology fields. It is found that R&D spendings on the areas of industrial development, information technology, and development research are funded pretty high. Also, it turns out that, considering program objectives and character of work, there are some redundancies of R&D programs among government agencies. Policy implications are suggested.

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계층 분석적 의사결정방법을 이용한 경종작물분야 미래유망기술의 우선순위 설정 (Priority Setting for Future Core Technologies in Crops Research using Analytic Hierarchy Process)

  • 이종인;조근태;채제천
    • 한국작물학회지
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    • 제49권6호
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    • pp.546-551
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    • 2004
  • 사전에 수행된 델파이 조사의 기초자료를 이용하여 경종작물분야 미래유망기술들을 AHP방법을 사용하여 우선순위를 설정하였다. 8명의 전문가가 응답한 설문조사에서는 평가대항목중 공공성이 0.390으로 가장 중요하게 나타났으며, 그 다음으로는 기술성이 0.388,시장성은 0.223으로 나타났다 각 평가소항목의 세부적 중요도는 기술성 측면에서는 기술실현성, 기술파급성, 기술독창성 순으로, 시장성 측면에서는 시장성장성, 투자수익성, 시장규모성 순으로,공공성 측면에서는 국가전략과의 부합성, 산업파급성. 사회영향성 순으로 중요하게 나타났다. 각 기술군 중 중요도가 가장 높은 기술은 I군의 기술 중에서는 '친환경 저투입, 생산비절감 작물 재배기술이 개발된다'의 기술이 중요도가 0.836으로 가장 높게 나타났다. II군의 기술 중에서는 '생명공학기술을 이용한 작물의 유전자 탐색, 형질전환 및 상업화기술이 개발된다'의 기술이 중요도가 0.772로 가장 높게 나타났다.

MAUT/AHP를 이용한 연구개발사업 우선순위 선정방법 (A Hybrid Method of MultiAttribute Utility Theory and Analytic Hierarchy Process for R&D Projects' Priority Setting.)

  • 김정흠;박주형
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 1999년도 제15회 하계 학술발표회 논문집
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    • pp.245-265
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    • 1999
  • MAUT and AHP are widely used for quantification of subjective judgements in various fields of decision making. This study focuses on the introduction and application of MAUT/AHP method which is a hybrid of MAUT and AHP techniques in R&D project priority setting. This hybrid model can clarify each factors' contribution using MAUT method and can reduce the number of pairwise comparisons of AHP method. This study applies AMUT/AHP method to the evaluation of R&D projects in a Government - funded research institute. To evaluate R&D projects, six evaluation factors are derived. SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement ) out of many MAUT methods are used to design the utility function ad AHP is used to allocate the weights among evaluation factors. The major findings of this study can be summarized as follows. First, the SMART/AHP and the DVM/AHP have the same results with the SMART and the DVM, and they are different results with AHP. It is very hard to decide which one is better. Second, MAUT/AHP's strength is analyzed. MAUT reflects utility values of evaluators to alternatives and AHP results objective and consistent weights of factors through pariwise comparisons. Third, its possible application fields are proposed. It is applicable to subjective decision making problems with high complexity and inter-independent factors.

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