• 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 the Korean Operations Research and Management Science Society
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• v.20 no.1
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• pp.85-99
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• 1995

Increasingly, risk analysis is becoming important ingredients in achieving the successful implementation and application in the area of the project management. The project management system is designed to manage or control the project resources on a given activity within time, cost and performance so called TPPM (Total Productive Project Management). In this research, a risk analysis model misproposed to identify potential problem areas, quantify the risks, and generated the chice of the action that can be taken to reduce the risk. In addition two analysis models are proposed : 1) risk factor model and 2) network simulation model using VERT (Venture Evaluation and Review Technique ). The objective of the remodels is to estimate the schedule, cost performance risks. These proposed quantitative models for project risk analysis are proving its value for the project managers who need to assess the risk of changes in cost, schedule, or performance. The proposed models will be used in the area of project selection, evaluation and the allocation of project resources.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.2
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• pp.89-96
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• 2010

This study explores the application of the analytic network process (ANP) approach for the evaluation of R&D projects with heterogeneous objectives. The ANP model in this study produced the final priorities of projects with respect to several performance measures when there are interdependencies between research objectives and performance measures. The paper provides value to practitioners by providing a generic model for R&D project evaluation. The ANP approach is tested against empirical data drawn from fourteen R&D projects under six different objective programs sponsored by the Korean government.

• Journal of Technology Innovation
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• v.6 no.2
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• pp.208-237
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• 1998

We are faced with the crisis of the R&D investment because of the effects of the IMF conditions. Most of the laboratories are going to restructure by the cutting off of money, man power and the reduction of R&D theme. Therefore it is necessary to allocate the R&D resources effectively to R&D projects. The evaluation and the selection of R&D projects have been recognized as the most important process for the allocation of the R&D resources. The result of the KITA(1997) shows that the commercial success rate of the R&D from new-product brain storming is only 5.8%. This study aims to analyze the actual conditions of the cost benefit analysis(CBA) of R&D projects of selected laboratories and to study measure methods of the R&D benefits. The research method of this study reviews the CBA of R&D firstly, and surveys 200 selected high ranking labs of R＆D expenditures. For the comparison of the results between '87 and '97, this survey used the same questionary for each year. As the result of the survey only 27 labs(response rate 13.5%) responded. The result of the '97 survey is as follows : The CBA is used by 44% of responding labs. The economic evaluation method for the R&D project selection is used by 48% of labs and this numbers increased by over 10 percents points compared with the result of '87. The CBA is used for about 40% about each of the budget preparing and the budget analysis, and by 30% of labs to analyze sales and expenditures of the overall period of the project. As the measurement of benefits of R&D projects, 30% of labs responded that it is impossible to measure the benefits, and 20% of labs measured the benefits between sales and expenditures of R&D projects.

• Journal of Technology Innovation
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• v.4 no.1
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• pp.165-183
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• 1996

In acquiring and transferring a superior knowledge assesing the intermediate result value of a competitive R&D project is very important for a firm engaging in R&D. Most existing literatures on R&D evaluation are concerned with project selection and resource allocation. In this paper the stage of an R&D project is classified into research, exploratory development, and development. And a model is suggested which evaluates the intermediate result value before completion of development stage under duopoly and oligopolistic competition. Assessed value of the intermediate result transferred to the next tier company can be used as a minimum acceptable price to the inventor when more advanced knowledge acquired through R&D is transferred to the next tier one. The model suggested is composed of structural variables including research cost, success rates, potential profits, discount rate degree of competition. By using exponential distribution for invertion process time in each stage, we derive a formula that can assess the value of the intermediate result, and we demonstrate how the model can be applied to a competitive R&D situation through an example.

• Journal of the Society of Disaster Information
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• v.10 no.2
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• pp.208-218
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• 2014

The growth of disaster/accident damage costs and related industries has increased the necessity of scientific and objective performance analysis for fire suppression and disaster management R&D projects. Most of R&D performance are both academic and public performance according to fire suppression and disaster management R&D projects during the period of 2004 to 2011. This research identified characteristics of performance types by research project teams and research development stages. The research outcome shows the usefulness of relevant performance objective settings by project teams, the evaluation of scientific technology fields, and proper research teams in research team selection process, considering research outcome characteristics by both research teams and research development stages. In addition, this research reveals the applicability of research outcomes to research performance management. This research suggests further studies for evaluation process and methods for including fire suppression and disaster management characteristics to the evaluation process.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.94-97
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• 1997

The purpose of this paper is to publish IITA's R&D planning and selection procedures for review by outside panels and by industry. The paper illustrates the detailed procedure and criteria used at each phase of evaluation process to the results of National Survey for Information and Telecommunication Technology Needs. Total 293 project ideas come from industry, government-supported research institutes, and universities. Candidate projects are not evaluated on the basis of what technology is proposed, but on how sound the proposed idea is within that technology and on the potential economic impact. In addition, an industrial assessment of the project ideas was performed as part of an evaluation process. At a final stage, 90 projects are selected.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.265-269
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• 2007

We should select suitable application research project to carry out e-Science research in successfuly and make the reseach implement plan such as developing component technology and preparing infrastructure. On this study, the e-Science projects pool will be composed from technology forecasting and national R&D projects and evaluated the project by making evaluation models.

• Proceedings of the Technology Innovation Conference
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• 2003.06a
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• pp.3-11
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• 2003

As the size and scope of R&D investment explodes, the strategic and managerial importance of R&D proposal screening becomes highlighted. This point is particularly true for a large-scale research center that deals with multi-product and multi-technology R&D projects. Despite the importance, however, previous research has focused on project evaluation and selection stage. In this research, we propose a R&D proposal screening system. The main objective of the system is to filter R&D proposals that are identified to be duplications of past or existing projects. To this end, the algorithm of the system employs text mining, multivariate statistical method, and case-based reasoning.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.2
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• pp.31-44
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• 2008

A selection technique for innovative projects on the beginning stage has been presented in this article. It can be applied in projects assessment in HEI, enterprises, development institutes, etc. It is rather difficult to assess the project quality on the beginning stage of R&D due to the uncertainty in the technical and economic indices but the new development analysis on this stage is of a great interest. By innovative project quality as a management object we will mean those characteristics relating to the results capacity of the projects and its realization process to satisfy the requirements to the innovative products competitiveness and their innovative attractiveness for investors. The most important question in the innovative projects management is the determination of its quality level under modern conditions. The aim of the research is to analyze and evaluate the decision making during the project management process. The objectives and hypotheses are assessment of an innovative project with the application of McKinsey's model is better to realizes by 3 stages: a) selection of optimal criteria; b) determination of weighing coefficients; c) projects positioning in a matrix.