• Title/Summary/Keyword: R&D Budget Allocation

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A Study on the Government's R&D Budgeting Evaluation System in Korea (과학기술혁신체제 하에서의 국가연구개발 평가 시스템 개선에 관한 연구 : 연구개발 예산평가 시스템을 중심으로)

  • Bark, Pyeng-Mu;Lee, Ki-Jong
    • Journal of Korea Technology Innovation Society
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    • v.12 no.4
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    • pp.819-839
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    • 2009
  • Proposed increases to the government's R&D budget should be discussed based on merits of meeting efficiency and effectiveness criteria. The evaluation of the national R&D budget and related programs are performed in two areas: a system of R&D budget coordination and allocation, and a system of R&D program performance. This paper mainly focuses on the operational areas of R&D budget evaluation system with a focus on their impact to efficiency and effectiveness. The core view point for a R&D budget evaluation system involves two directions: Firstly, to detail the relationships between the later stage (ex. post) activities such as, program survey, analysis, and program performance evaluation, with the budget evaluation. Secondly, to critically oversee all R&D coordination procedures with a different perspective. Budgeting is generally known as a serial process of policy making, planning and executing. It is highly desirable for the budget to be allocated to, and spent by, specific programs as planned, and that each plan be aligned with a specific policy. As such, a strong relevance between the program structure and budget code system is integral to successful execution. It should be performed using a decision making system which closely examines the link between policy and budget. It is also recommended that systematic relationships be maintained among budget coordination and allocation, performance evaluations of policy and program levels, and program survey and analysis system, and that their operational schedule should be reviewed comprehensively as a one integrated system. The National Science and Technology Council is expected to play a major and practical role as the center of policy planning and should be supported by the objective and unbiased system which covers overall process from policy making to program evaluation. Finally, increased utilization of contents, timely program survey and analysis, and accurate of activity scheduling of budget coordination and allocation, and diligent program performance evaluation all contribute towards a more efficient and effective overall evaluation system.

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Analysis of Assessment Indicator on Priorities for Budget Allocation of the National R&D Program (국가연구개발사업 예산배분을 위한 우선순위 판단지표 분석)

  • Ahn, Seung-Ku;Kim, Eun-Sil;Cho, Hyun-Jeong
    • Journal of Korea Technology Innovation Society
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    • v.14 no.4
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    • pp.889-914
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    • 2011
  • This paper is to review assessment indicator on priorities for budget allocation of the national R&D program. In priority setting of programs for the budget allocation process of the national R&D program using the Analytical Hierarchy Process (AHP), the survey result on the major influencing factors is as follows: the significance of components of evaluation for the priority of the national R&D programs in budget allocation was as following order: "accomplishment and ripple effect of the project," "basis and driving force for the promotion of project," "feasibility of project goals," and the "possibility of overlapping and linkage among projects". The importance of the final evaluation indicator was as following order: "clarity and possibility for accomplishment of business objectives," "ripple effects in terms of science and technology", "ripple effects in terms of the economy and overall society" and "appropriate correspondence with mid- to long-term plans" (the importance for these four indicators was over 10%) while the importance of "overlapping" and "appropriateness of budget size" indicators which fell below 5% were considered to be relatively less important. there is a need for a clear criteria and conceptions of evaluation indicators for budget allocation of national R&D programs.

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A Study on the Size Determination and Resource Expenditure- A Case of the KT's TOP Strategy (R&D 투자 규모결정 및 자원배분에 관한 연구 -한국통신의 TOP기술발전전략을 중심으로-)

  • 백광천;서의호;서창교;이영민
    • Korean Management Science Review
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    • v.10 no.1
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    • pp.81-105
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    • 1993
  • The objective of the paper is to develop models for determining the aggregate budget size in long-range R&D planning of KT(Korea Telecom.) and for allocating it by strategically adopted technologies for KT's TOP(Telecommunication-Oriented Paradise) Strategy. In the model of R&D budget size determination, the linear regression analysis is applied. In allocating the R&D expenditure, criteria weighting and technological importance ranking are determined by means of the Analytic Hierarchy Process(AHP) as a decision aid, along with hierarchical representation and pairwse comparisons. R&D budget analysis provides to basic data for the mid-and long-range R&D planning. The model then needs to be adjusted as the TOP project plan becomes specific. Resource allocation model for R&D based on AHP can be used to identify the importance of the technologies for TOP according to short-, mid-, and long-term perspectives without further modification. It is expected that the R&D budget analysis model works as the basis for planning R&D investment strategies and that the resource allocation model for R&D contributes to the effective use of the limited resource.

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A strategic R&D resource allocation and project selection based on R&D policy and objectives (정책목표와 연계한 전략적 R&D 투자재원배분 및 연구과제 선정방안연구)

  • 서창교;박정우
    • Journal of the Korean Operations Research and Management Science Society
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    • v.16 no.2
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    • pp.61-61
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    • 1991
  • We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently

A strategic R&D resource allocation and project selection based on R&D policy and objectives. (정책목표와 연계한 전략적 R&D 투자재원배분 및 연구과제 선정방안연구)

  • 서창교;박정우
    • Korean Management Science Review
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    • v.16 no.2
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    • pp.61-77
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    • 1999
  • We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently.

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A Study on the Improvement of Multi-Agency R&D Program for Strategic Budget Allocation and Enhance Effectiveness (전략적 예산배분 및 실효성 강화를 위한 다부처R&D사업의 개선방안에 관한 연구)

  • Moon, Kwansik;Kim, Eun Jeong
    • Journal of Digital Convergence
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    • v.14 no.6
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    • pp.9-19
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    • 2016
  • Since continuous expand in governmental R&D investments and growth number of research institutions, model of multi-agency program has been planned and pushed ahead to settle the inefficiency of investment by the scattered and competitive R&D Programs. However, it was often pointed out that new model's effect has been fall because the institutional inertia of cooperative system between agencies. In this study, we analyze the current state of multi-agency program and suggest the optimal R&D governance model to improve a better direction. Afterward, several problems were turned up and that allocation and execution of the R&D budget separately, less coordination and cooperation among agencies, and absence of typical evaluation system of multi-agency program. Therefore, we suggest some of improvements by analyzing each steps.

A DEA/AHP Hybrid Model for The Budget Allocation of NRL Program (NRL 사업의 예산배분을 위한 DEA/AHP 혼합 모형)

  • Nam, In-Suk;You, Tai-Woo;Ha, Jae-Won;Jeong, Byung-Ho
    • IE interfaces
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    • v.23 no.2
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    • pp.156-163
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    • 2010
  • This paper suggests a DEA/AHP hybrid model to deal with an allocation problem of research budget for the national research lab(NRL) program. The qualitative factors are appraised by AHP model and the quantitative factors are dealt with DEA model to evaluate the performance of research activities considering tangible and intangible factors. The proposed hybrid model is applied to get the importance weight of research areas for research budget allocation of NRL program.

Analyzing the Performance of Defense R&D Projects based on DEA (자료포락분석을 활용한 국방핵심기술 연구개발사업의 성과 분석)

  • Lim, Yonghwan;Jeon, Jeonghwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.1
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    • pp.106-123
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    • 2019
  • Demand for performance analysis is increasing for efficient use of limited budgets such as improving investment efficiency and strategic budget allocation in accordance with the continuous increase demand of R&D budget for developing advanced weapon systems in the future battlefields. In accordance with the Act on the Performance Evaluation and Performance Management of the National R&D Projects established in March 2006, the performance analysis has been conducted for the systematic management and utilization of the R&D project performance. It was recognized as a project to achieve self-defense through strengthening the weapons system development capability, however, efficiency evaluation of Defense R&D projects was not much emphasized. Research on the efficiency analysis of defense R&D projects has been conducted in recent years, but most studies focused on corporate efficiency and productivity of defense companies. In this study, we analyzed the three-stage performance of defence R&D projects based on the logical model using the data envelope analysis(DEA) model. We also analyzed performance analysis from various perspectives through R&D type, technology classification and performance model. This study is expected to help defense department improve defense R&D projects and make decision.

A Study on the Improvement of Classification System for the Budget Management of the Environmental R&D (환경 R&D 예산관리를 위한 환경기술분류체계 개선에 관한 연구)

  • Kang, Sung Goo;Kim, Young-Soo;Jung, Sung Hoon
    • Clean Technology
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    • v.11 no.2
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    • pp.91-104
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    • 2005
  • We studied more effective Environmental R&D management system which can be used in the budget allocation of the national R&D budget by the newly opened governmental administration system of science and technology. As a first step, we surveyed classification systems for the environmental technology which can be applied to the analysis of the national R&D budget. Each organization, either inland and oversea, has its own classification system for the environmental technology. However, we found that each systems can lead different results. It would be beneficial if an efficient standard classification system could be generated. The new system classified the environmental technology by the environmental management area(media) like most present systems rather than by the technical characteristics. The new system included all the areas of the environmental management and maintained consistent principles. The new system would help efficient management of the national R&D of the environment technology, if the national standard classification can be changed by the new system. To the researchers and professionals the new system will help them noticing the status of the environmental R&D and avoiding duplicate research, so that they can do research more efficiently and can achieve maximized results.

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