• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.471-478
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• 2020

This study aimed to suggest implications for the future development of agricultural R&D through a priority analysis of excellent agricultural R&D performance considering productivity, marketability, and effects on region, which are important factors of agricultural R&D evaluation. The subjects of analysis were R&D of Rural Development Administration (RDA), which was selected as national R&D excellent Performance from 2006 to 2018, and the priority was analyzed using Analytic Hierarchy Process (AHP). The results are as follows. First, the relative importance of the criteria decreased in the order of marketability(0.423) > regional impact(0.360) > productivity(0.216). Second, as a result of analyzing the relative importance of the sub-criteria, the possibility of commercialization(0.515) was high in the category of marketability. The possibility of technology expansion(0.538) was high in the category of effects on region and the quality improvement(0.464) was high in the category of productivity. Third, the excellent agricultural R&D performance that had high relative importance was the technologies associated with improving the agricultural competitiveness of horticultural crops.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.49 no.6
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• pp.546-551
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• 2004

The study was focused on setting priority for future core technologies in crops using Analytic Hierarchy Process (ARP). 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 8 specialists in crops. As the results, 'public concerns' was decided as the most important evaluation criterion. The most important technologies are 'developing of growing technology that has low inputs and production cost for environmental friendly agriculture' in group I, and 'developing of gene searching, characteristics transformation, and commercialization technologies for crops using bio-technology' in group II.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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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.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.106-107
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• 2023

The purpose of this study is to derive priorities for the introduction of smart port technology by utilizing domestic and foreign prior research and AHP analysis to establish an automated pier at Gwangyang Port. In order to establish a hierarchical structure for smart port technology, R& D tasks, roadmaps, and literature related to domestic and foreign smart port technology were investigated to select two first-tier and six second-tier attributes and determine the hierarchical structure. ‥‥(중략)‥‥

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.153-159
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• 2018

In recent years, the development of weapons systems in the field of defense research and development has become increasingly large, complex, and long-term, and so have budgets and the time spans involved. In order to improve this, the Weapon Systems Requirement Verification Committee, which benchmarked the preliminary feasibility of the private sector, was established to verify the appropriateness of requirements, and the necessity and priority of the projects. This research proposes a methodology for analyzing and prioritizing proposed weapons systems for effective and strategic allocation of defense budget funding. First, the evaluation factors that can be used in the defense sector were assessed by analyzing the related fields. We set the weighting of items by using the analytical hierarchy process for technical risk assessment and technical profitability evaluation. After that, we applied the methodology to 32 weapons systems and analyzed the results. In conclusion, through this study, it was possible to analyze profitability dimensions overlooked in the existing methodology.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.185-188
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• 2004

국가개발사업 연구개발관리차원에 대한 패러다임은 객관적 연구과제의 선정 ${\cdot}$ 진도관리 ${\cdot}$ 성과관리 중심에서 기술수요조사 및 예측, 자원배분 등 사전기획과 같은 R&D 전략수립 방향으로 변화하고 있다. 본 연구에서는 생명공학분야를 중심으로 미래 유망기술의 R&D 전략수립을 위한 절차를 제시한다. 먼저 전체과제의 중요도와 연구개발수준을 고려한 포트폴리오 구성을 위해서는 델파이방법을 사용하였다. 다음으로 앞으로 시급히 연구개발에 착수해야할 과제들의 우선순위를 설정하기 위해 AHP방법을 사용하였다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.155-159
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• 2017

연구개발은 일반적으로 많은 투자가 요구되는 반면에 높은 불확실성이 존재한다. 따라서 정부에서 지원받는 제한된 인력과 예산을 기반으로 연구를 수행하는 출연연 입장에서는 연구개발의 효율성을 객관적으로 측정하고, 연구개발 활동에 투입되는 자원과 산출에 대한 체계적인 평가가 중요하다. 즉, 기관에서 운영하는 R&D 예산의 합리적인 배분을 위해서 연구개발 성과의 효율성을 측정하고 이를 다시 전략적으로 R&D 기획에 반영하는 피드백 과정이 필요하다. 본 연구에서는 건설분야 정부출연연구기관의 연구부서를 대상으로 연구성과 분석을 통한 효율성을 측정하고자 한다. 이를 통해 제한된 인력과 R&D 연구비용의 합리적인 투자를 위한 전략적 우선순위 선정, 기관의 중장기 발전계획, 경영목표 등에 부합하는 연구과제를 수행하기 위한 정책 및 R&D 기획의 시사점을 제공하고자 한다.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.237-243
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• 2017

Recently, the Korean government is planning to create ICT-centered clusters that will lead the fourth industrial revolution in the Yangjae-Umyeun area. In order for a cluster to be successful, innovation environments such as support systems and institutions should be appropriately prepared. In this study, we present a hierarchical model of ICT SME support measures after comprehending the support measures for existing SMEs and the factors needed for clustering, and then deriving the priorities of support measures. The questionnaire was distributed to 9 ICT SMEs and R&D experts. A total of 6 copies were collected. The priority of the support measures in this study is expected to be utilized for the successful development of R&CD cluster and the allocation of the support budget.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.430-443
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• 2015

신약개발은 국민의 건강권과 직결되며 국가 차원의 제약산업 육성을 위해 매우 중요하다. 그동안 신약개발 분야와 관련하여 다양한 연구가 수행되었지만, 신약개발 분야의 국가연구개발사업에 대한 효율성 분석은 매우 부족한 실정이다. 특히 R&D 분야는 연구개발시차, 일출효과(spill-over effect) 등으로 인해 투입과 산출의 일정한 방향성과 등비율적인 증감을 가정하는 CCR 모형이 적합하지 않다. 또한 가변규모수익을 가정하는 BCC 모형도 여유분(slack)으로 인해 의사결정단위간의 명확한 우선순위 도출이 어려운 한계점이 있다. 최근에는 R&D 분야의 특수성을 고려해서 자료포락분석 모형 중 RAM(Range Adjusted Measure) 모형을 활용한 분석방법이 제시되고 있다. RAM 모형은 가변규모수익 가정 하에 투입지향이나 산출지향처럼 방향성에 대한 사전적인 가정 없이 비효율성을 최대한 제거하는 방향으로 효율성을 측정하므로 R&D 분야의 효율성 분석에 적합하다. 특히 RAM 모형은 매우 강건한 단조성을 인해 의사결정단위 간 명확한 순위 구분도 용이하다. 따라서 본 연구에서는 자료포락분석 모형 중 RAM 모형과 토빗 회귀분석이 결합된 2단계 접근법을 활용해서 범부처전기신약개발사업을 중심으로 신약개발 분야의 국가연구개발사업들에 대한 효율성을 분석하고 주요 시사점들을 논의하였다.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.2
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• pp.217-224
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• 2018

The purpose of this study is to evaluate the future potential value of CTE(Critical Technology Element)s that are evaluated to be low in TRA(Technology Readiness Assesment) and to present investment prioritization technologies in defense R&D(Research and Development) based on them. To do this, we used the DEA(Data Envelopment Analysis) method, which is useful in evaluating the efficiency of the organization. Specifically, we suggest a systematic framework to evaluate the future value of CTEs by setting the CTEs derived from the TRA process to DMU(Decision Making Unit)s, the cost and time required to develop each CTE as the input factor of the DEA and the effects of the development of each CTE as the output factor of the DEA respectively. We also conducted an illustrative case study on radar technologies to demonstrate the usefulness of the proposed approach.