• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.889-891
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• 2013

A Study of Quality Evaluation Model for Automotive Software R&D Project.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.1-35
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• 2009

This study analyzes the current status of how to manage the national R&D program and the systematic problems of R&D planning, evaluation, and management, and then shows the strategy to support special agency of national R&D management for effective operation. Additionally, this study seeks to search for the macro methods to coordinate and to develop the roles and functions of special agency of national R&D management, and to promote efficiency and productivity of the National R&D investment. First of all, this study generally introduces the national R&D and surveys each special agency of national R&D management by analyzing the status of each agency charged by Ministry. Also, this study defines special agency of national R&D management by investigating each agency's status based on law and finds out the strategy to support special agency of national R&D management for effective operation. Each special agency of national R&D management is based on acts, administrative orders, or blanket contracts and takes whole charge of each National R&D program. The organization forms of special agency of national R&D management can be classified into two forms: One is a form to plan, to evaluate, and to manage the National R&D program and other is a form to research program together with the functions of planning, evaluation, and management. Therefore, this study defines special agency of national R&D management as "an organization, having a legal basis(acts, administrative orders), funded and charged by government for executing R&D planning, evaluation and management of R&D program." This study shows the strategy to operate special agency of national R&D management efficiently by analyzing each agency's current status and comparing each agency with each other. Moreover, every agency has a committee member pool, and the pool is classified well according to the fields of work and technology. Also, the special agency of national R&D management has its own organization to manage performances of program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.816-821
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• 2019

This study shows that it is reasonable for an R&D Information and Evaluation Center to have a building with the fifth floor above the ground and the second floor below the ground. A survey was conducted with 22,655 researchers who are registered in the NRF database. The researchers provided 883 responses. The results indicate that about 56% of the respondents positively support the construction of the NFR R&D Information and Evaluation Center. The survey results show that many respondents recognize that both evaluation and information integration functions among the NRF's roles are very important compared to other roles. The findings of the economic validity analysis support this statement. Based on the current demand for the construction of the R&D Information and Evaluation Center, this study investigates whether it is reasonable to build a new center in the available space while examining an environment focused on a physical work space and looking at significant results obtained through a cost-benefit analysis.

• The Journal of Society for e-Business Studies
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• v.17 no.2
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• pp.165-187
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• 2012

Improvements on the incumbent R&D project management structure and performance evaluation criteria in the telecommunication and broadcasting area have been called for. There have been attempts to develop alternative R&D project performance evaluation criteria. In an attempt to develop an alternative measure, this study integrates two different perspectives on R&D projects and various criteria currently being used by many foreign and domestic institutes. As a result, we have developed an alternative R&D project performance evaluation instrument. Then, we have applied the instrument to Korean cases in order to validate it. The new R&D project performance evaluation criteria can contribute to an improvement on the management of R&D projects in the telecommunication and broadcasting area.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.21-24
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• 2003

$\ulcorner$Cost Effectiveness Analysis$\lrcorner$ has been widely used to evaluate the effectiveness of R＆D resources. But, almost of cost effectiveness evaluation systems have some problems, especially the cross effect among R＆D projects has not been considered. To solve this problem, we have designed a new $\ulcorner$Cross Effect Evaluation System(CEES)$\lrcorner$, which are able to estimate multi-effects and cross effects by completion time among several projects.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.966-971
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• 2003

[ $\lceil\;Cost Effectiveness Analysis\;\rfloor$ ] has been widely used to evaluate effectiveness of R&D resources. But, almost of cost effectiveness evaluation systems have some problems, especially estimating method of effect on R&D project is very rough and imprecise. To solve this problem, we have designed new single effect evaluation system, which are able to apply the distribution of order statistics and to transform relative measure into absolute measure for getting single effect.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.323-329
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• 2020

There is a system of mandating the allocation of support to small business in certain percentage or more to facilitate technological innovation at small business. Trying to assess small business R&D projects, which receive a budget of three trillion won or more from the government every year, for their possibilities of success, a group of experts perform a technological evaluation with their technologies and their difficulty levels and review closely the possibilities of their commercialization and success. Used in such a review, the Analytic Hierarchy Process technique cannot make an objective judgment of evaluation criteria for evaluation items and guarantee the professionalism and fairness of small business R&D projects due to the inherent ambiguity and uncertainty of the evaluation criteria. This study proposed an R&D evaluation system based on Fuzzy-AHP for small business to provide objective weight for the evaluation items and assess the possibilities of such projects' success. The evaluation criteria were make objective as they were applied as section values based on triangular fuzzy numbers. Weight was assigned and applied according to the management guidelines of supportive projects for small business' technological development so that it could be reflected on actual assessment. The findings of the study will be helpful for reflecting the scoring weight of these evaluation items again when an expert is appointed for a new project and guaranteeing the professionalism and fairness of small business R&D project based on them.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.3
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• pp.41-61
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• 2004

The purpose of this paper is to construct $\ulcorner$CIDEAR(Cross Impact-DEA-AR)$\lrcorner$ model which evaluates proposed R&D projects considering cross impact among them and selects proper projects to utilize resources efficiently as well as to maximize efficacy of investments. For this purpose, $\ulcorner$CIDEAR$\lrcorner$ model is designed as the following six steps. $\ulcorner$Decision Theory Evaluation Model$\lrcorner$ is for setting and selecting the evaluation items according to the structured procedure of evaluation system. The priority of items is decided at $\ulcorner$AR Decision Model$\lrcorner$$\ulcorner$Cross Impact Estimation Model$\lrcorner$ is for computing the final probability of success and the result is used to revise the evaluation results of $\ulcorner$Decision Theory Evaluation Model$\lrcorner$. $\ulcorner$Resource Performance Analysis Model$\lrcorner$ classifies the proposed R&D projects on the basis of required resources and expected performance. Consequently, the possibility of bias of project selection can be prevented. $\ulcorner$Priority Oder Decision Model$\lrcorner$ is for computing the efficacy of proposed projects. Finally, $\ulcorner$Efficacy-Efficiency Cause Analysis Model$\lrcorner$ analyzes the structure of efficacy and efficiency of the projects. The major findings and significances of this study are summarized as follows: (1) $\ulcorner$CIDEAR$\lrcorner$ model can deal with the affairs of R&D projects having the characteristics of mutual independence as well as mutual dependence in the point of efficacy and efficiency. Hence, it is possible to evaluate and select R&D projects more accurately. (2) It can be possible to raise the possibility of projects success. R&D manager can use the information for project management because the efficacy-efficiency structure of selected projects can be analyzed. (3) We proved the usefulness of the constructed $\ulcorner$CIDEAR$\lrcorner$ model using an case about twenty-one R&D projects of a leading company of electronic industry in Korea.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.1
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• pp.22-31
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• 2010

In R&D project evaluation, we consider the technical couple. And we set technology modular alternatives, after evaluating technical group based on technical couple. So we solve the problem extracted from existing research of R&D project evaluation. We use Conjoint Analysis(CA) for this research. CA is usually used for confirming customers' preference. However we use it for researchers' preference in the side of technology. This research is followed by the next 4 steps. (1) Hierarchical model of goal technology (2) Composition model of modular alternatives (3) Evaluation model of modular alternatives (4) Setting model of technology modular alternatives.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.3
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• pp.299-308
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• 2009

In this paper, we have developed an evaluation model of technology green index(TGI) which includes 3 evaluation factors and 13 indicators. Furthermore, as presenting the degree of relative importance among evaluation factors and indicators for all R&D evaluation stages and all green technology areas, and applying the proposed model to 5 defense projects, we have found applicability of the model to evaluation of defense R&D projects. The results of evaluation using this model can be used to monitor the performance of project life cycle and develop R&D investment strategy of green technology using portfolio analysis.