• Journal of Technology Innovation
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• v.15 no.1
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• pp.87-113
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• 2007

For the realization of the national self-defense, the trend of the defense R&D projects becomes global and diverse with the increase of their budget. Thus, for the effective execution of the budget and the successful performance of the projects, the importance of selection, management and evaluation of the R&D projects is emphasized. This study suggests the applicability of a meta-evaluation model for the realization of the successful defense R&D project evaluation system. This study focused on the development of the meta-evaluation model design which can be applicable to the national defense R&D projects. Using the proposed meta-evaluation model, we propose a technique to enhance the fairness and the reliability of the national defense R&D projects evaluation system.

• 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.

• 한국벤처창업학회:학술대회논문집
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• 2009.08a
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• pp.5-24
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• 2009

This study is the result of meta evaluation for the self evaluation of defense R&D programs in Korea. The overall meta evaluation result of defense R&D programs gained 74.3 points out of 100, so it was evaluated as 'Good'. But it demonstrated that further improvement for overall system of defense R&D programs evaluation is required. And especially, it demonstrated that more alternatives are necessary in order to improve the utilizations and the feedbacks of evaluation results. The evaluation context component gained 80.2 points out of 100, so it was evaluated as 'Very Good'. The evaluation input component gained 73.1 points out of 100, so it was evaluated as 'Good'. The evaluation process component gained 74.8 points out of 100, so it was evaluated as 'Good'. From the analysis, it is attempted to identify possible problems and to find out the ways of improvements related to the self evaluation system of defense R&D Programs.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.77-90
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• 2013

This study is to seek measures for streamlining the evaluation system by analyzing the examples of advanced countries. This study was conducted, based on the relevant government policy documents and previous research papers, in the manner of comparing and analyzing the issues and cases regarding the government evaluation system of public-funded R&D programs in selected countries. In Korea, a national R&D performance evaluation system was introduced by law in 2006. In United States, Obama government has enhanced government performance management by signed into law the GPRA Modernezation Act of 2010. The Japanese Government issued a newly revised Guideline on National R&D Evaluation in late 2012. European Union has also been constantly updating its evaluation system for Framework Programmes(FPs) begun since 1984. This study gets some insights from the recent development of R&D evaluation in the other countries. It is important for the government R&D evaluation system to be in line with national S&T policy and agency's mission. In micro views, specific evaluation approaches and methods by types of various R&D programs should be more illustratively developed. Additionally it is suggested to monitor recent trends and techniques on R&D evaluation by participating in activities to communicate and share their knowledge and experiences in international evaluation research networks.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.96-111
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• 2022

With the rapid development of the Fourth Industrial Revolution and digital transformation, scientific and technological innovation measures are being devised to overcome Korea's low-growth, high-cost structure. Accordingly, by examining the R&D investment evaluation system of R&D PIE (R&D Platform for Investment and Evaluation), which has been promoted by the Korean government in response to the Fourth Industrial Revolution, from the perspective of R&D transformation, this study aims to explore a new path for a sustainable national science and technology innovation system following digital transformation. In particular, from the perspective of R&D PIE, a MLP (Multi-level Perspective), which had been conducted as an abstract theoretical study, was attempted with specific cases and analysis for each of the three layers: niche, landscape, and regime. In conclusion, R&D PIE was intended to elevate the abstract R&D investment evaluation system to a platform that leads innovation in the digital space of the Fourth Industrial Revolution. In addition, it was confirmed that the R&D PIE could be replaced or enhanced as a platform for innovation in response to the Fourth Industrial Revolution, thereby providing an alternative to job creation and an escape from economic crisis.

• Asian Journal of Innovation and Policy
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• v.9 no.3
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• pp.281-307
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• 2020

A variety of approaches are being applied to improve the existing ex-ante evaluation by expert panels in publicly funded R&D. While the objective evaluation criteria are constantly being improved to screen and select the superior projects, alternative approaches such as random prioritization and logical modeling are also underway to overcome the conservative bias of reviewers and to secure disruptive innovation. This study intends to find critical implications for ex-ante evaluation of public R&D system from the comparison of Indonesia and Korea. For the comparative analysis, literature review and expert in-depth interviews are conducted on the national R&D system and the selection evaluation process. In Korea, the selection criteria of projects are legally promulgated for establishing an objective evaluation system, and at the program level, the major considerations in the planning process are specified by Presidential Decree. On the other hand, while Indonesia conducts R&D in 47 strategic fields largely by public research institutes (PRI) based on the non-competitive government contributions. This study draws out implications of institutionalizing the planning process at the level of program, and of increasing the ratio of contract-based competitive funding at the level of project in the national R&D portfolio.

• The Journal of Information Systems
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• v.19 no.2
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• pp.73-95
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• 2010

This study shows the scientific and systematic Evaluation Model using factor analysis and AHP methods for the success of defense Information System R&D projects. The evaluation model was divided into 7 evaluation factors such as Developing support, Developing infrastructure, Developing management and test & evaluation, Support factors for strength, Understanding & developing strategy, Developing technology & organization, and Developing performance. And those were composed of totally 24 low level Evaluation index. The Developed Evaluation Model in the paper could be contributed more to objectively and transparently company selection of defense Information System R&D and other defense R&D Projects in the future.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.937-964
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• 2011

The research question of this work comes from that there have been disputes for the governance and roles of the Rural Development Agency (RDA), despite of rather excellence performances of Agricultural R&D program supported by RDA. For this reason, I meta-evaluated the internal evaluation system of Agricultural R&D program in RDA, in terms of the four meta-evaluation components such as evaluation paradigm, evaluation resources, evaluation execution and evaluation utilization. The result shows that the most serious problem is rather lower level of evaluation. Object, one of the evaluation paradigms in the R&D evaluation system of the RDA. So, this work suggested the policy alternatives which may lead the R&D evaluation system of the RDA to be developed for the performance-oriented R&D management system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.3
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• pp.59-70
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• 2009

This study is the result of meta evaluation for the self evaluation of defense R&D programs in Korea by using meta evaluating indicators. The overall meta evaluation result of defense R&D programs gained 74.3 points out of 100, so it was evaluated as 'Good'. But it demonstrated that further improvement for overall system of defense R&D programs evaluation is required. And especially, it demonstrated that more alternatives are necessary in order to improve the utilizations and the feedbacks of evaluation results. The evaluation context component gained 80.2 points out of 100, so it was evaluated as 'Very Good'. The evaluation input component gained 73.1 points out of 100, so it was evaluated as 'Good'. The evaluation process component gained 74.8 points out of 100, so it was evaluated as 'Good'. And the evaluation outcome component gained 69.0 points out of 100, so it was evaluated as 'Good'. Basic model of meta evaluation was derived from the literature review and brain storming. And this meta evaluation model was determined by adopting the result of experts who performed evaluations for defense R&D programs in recent years. The reliability of components and items was verified by Cronbach's a coefficient. It was over 0.6 in evaluation components and items. And the reliability of evaluation context was 0.877, that of evaluation input was 0.755, that of evaluation process was 0.755, that of evaluation output was 0.755 respectively. From the analysis, it is attempted to identify possible problems and to find out the ways of improvements related to the self evaluation system of defense R&D programs. The ultimate objective of this study is to manage the programs effectively and improve the reliability and the objectiveness of the defense R&D programs.

• Journal of Korea Technology Innovation Society
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• v.3 no.2
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• pp.48-60
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• 2000

An effort has been made in this paper to measure the project manager's reaction to R&D project evaluation and present the useful information related to rebuilding an R&D evaluation system. Results of this study show that project manager's reaction is related to the selection of reasonable items for evaluation, the rater's expertise, the project manager's participation in evaluation process and so on. Accordingly, managers of the research institute have to set up the evaluation system after deeply considering these results.