• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.3
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• pp.115-125
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• 2018

In order to examine the ways to improve the efficiency of R&D investment, this paper presents analysis on both quantitative and qualitative efficiency of R&D projects. As Korea's R&D investment has significantly increased in recent years, the efficiency of R&D investment has attracted attention. In this paper, a Data Envelopment Analysis(DEA) method is used to construct models for quantitative efficiency and qualitative efficiency analysis. Based on a cases of agricultural R&D projects of Korea, the efficiency of national R&D projects were analyzed and their quantitative and qualitative efficiencies are compared. As a result, statistically significant difference between quantitative and qualitative efficiency was found. Also, characteristics of Decision Making Units(DMUs) which can influence both quantitative and qualitative efficiency were identified. In particular, the stage of a R&D project has significant impact on R&D efficiency. This study suggests that in order to enhance R&D efficiency both quantitative and qualitative nature of outputs should be considered when measuring R&D efficiency.

• Journal of Biomedical Engineering Research
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• v.38 no.3
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• pp.89-94
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• 2017

In order to improve national competitiveness through technological research and development, the government puts in R&D budget every year and manages to improve the R&D results. Accordingly, various R&D project management methods have applied for successful advancement of technology and product. TRL is a measurement system developed by NASA to assess the maturity of technology since the 1970s. To apply medical device, the characteristics such as regulation, clinical trials are considered as a significant influence. In this study, we would like to derive PMI(performance measures index) for medical device R&D projects by using TRL and stage-gate model. As a result of this study, it is possible to use the PMI for decision making and evaluation in the R&D projects and believed that the objectivity can be ensured by the approval or certification of regulatory authority.

• Journal of Technology Innovation
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• v.5 no.2
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• pp.126-154
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• 1997

This paper addresses a methodology for monitoring the first phase('92-94') progress and its implication fo Highly Advanced National R&D Projects (HAN or G7 project) in Korea. The authors suggest a three-stage life cycle model for the management of national R&D program; planning stage, implementing & monitoring stage, and evaluating & harvesting stage. The interim evaluation, the main focuses of this paper, is one of the key issues for the effective management of national R&D program at the implementing & monitoring stage. The conceptual framework of the interim evaluation was developed both through reviewing related literature and considering the characteristics of the HAN program. A stepwise procedure of interim evaluation was introduced: 'initial screen' and 'detailed examination'. At initial screen all 11 projects were reviewed in terms of both their relevance and performance in order to decide whether further detailed scrutiny is needed or not. If there exist critical problems on the relevance or on the intermediate progress of each project, it is to be under further detailed examination. Evaluation was initiated by the G7 Planning and Evaluation Committee, which was established for advising, directing, and monitoring the HAN Projects, with the help of large number of experts from industries, universities, and research institutes. The monitoring results were reported to the related ministries and project coordinating agencies, and reflected in the second phase.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.2
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• pp.39-60
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• 1995

In this paper, an integration of stochastic dynamic programming (SDP), integer goal programming (IGP) and analytic hierarchy process (AHP) is proposed to handle multiobjective-multicriteria sequential decision making problems under uncertainty inherent in R & D investment planning. SDP has its capability to handle problems which are sequential and stochastic. In the SDP model, the probabilities of the funding levels in any time period are generated using a subjective model which employs functional relationships among interrelated parameters, scenarios of future budget availability and subjective inputs elicited from a group of decision makers. The SDP model primarily yields an optimal investment planning policy considering the possibility that actual funding received may be less than anticipated one and thus the projects being selected under the anticipated budget would be interrupted. IGP is used to handle the multiobjective issues such as tradoff between economic benefit and technology accumulation level. Other managerial concerns related to the determination of the optimal project portifolio within each stage of the SDP model. including project selection, project scheduling and annual budget allocation are also determined by the IGP. AHP is proposed for generating scenario-based transformation probabilities under budgetary uncertainty and for quantifying the environmental risk to be considered.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.7
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• pp.1565-1569
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• 2004

Small and Medium-size Enterprises's R & D Program progress is hard than the university, government R & D agency and big enterprises. this environment make heat competition among the small and medium-size enterprises and subsidies little budget for many enterprises. from the management agency of the Institute of Information Technology Assessment(IITA)'s most of the activities focusing to the enterprises management not R & D Program. so, this paper suggestion an adaption on the project specialist system for the small and mediumlTenterprises'stechnologyinnovation'.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.515-517
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• 2012

The importance of R&D project to enhance the national competitiveness continuously increase. So, it is the most important point that is evaluating the outcome and the utilizability of the project. And we need the system that can manage the evaluation of the project. In this paper, I want to discuss about the way of process management that is the evaluation of the R&D project using a system.

• Journal of Information Management
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• v.43 no.3
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• pp.43-59
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• 2012

We established economic models for economic performance analysis in order to respond to changes in a rapidly changing environment. We tried to maximize business efficiency and performance of science and technology information management distribution project. The science and technology information management distribution project is significantly different from general R&D project. In this paper, it is meaningful to develop economic models to analyze economic outcomes for science and technology information management distribution project. We anticipate that these models will contribute greatly to economic performance analysis for science and technology information management distribution project.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.329-331
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• 2014

The analysis of the similarities and redundancies among R&D projects is important for the efficient investment of government budgets. When government R&D projects are planned, the redundancies of research tasks are examined by institutions specializing in research management, relevant offices and departments, and the government to prevent redundant funding. However, as existing similarity analyses depend on methods wherein new task proposals and existing R&D project proposals are compared and looked up based on keywords. This results in vulnerability wherein similarity cannot be accurately measured in the event of partial modifications of the task name or technical substitutions. This study aims to use patent information as characteristics by which R&D project documents can be identified. The patent data used is based on materials officially published by the government's R&D patent trend survey project (http://ipas.rndip.re.kr). The study aims to propose a method by which patent information can be used to analyze the similarity and redundancy among R&D projects when new projects are entered. For this purpose, a similarity measurement model based on set theory and probability theory is presented. The presented measurement model is implemented into an actual system to identify redundant documents, and calculate and show their similarity.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.321-339
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• 2003

This article surveyed the current situation of domestic R&D information system and investigated the possibility of knowledge-transformation for KMS. Four major requirements of the transformation were analyzed by applying evaluation index tool which was integrated and refined from the existed indices. and a process-oriented project approach was suggested with some practical implications for development of KMS.

• 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.