• Journal of the Korean Operations Research and Management Science Society
• /
• v.32 no.2
• /
• pp.163-175
• /
• 2007

[ $ulcorner$ ]Cost-Effectiveness Analysis$\lrcorner$ has been wifely used to evaluate economic efficiency of R&D projects, but most of cost-effectiveness evaluation systems have some problems such as systematic method for setting and evaluating cost factors, estimation of single effect on each R&D project, and estimation of cross effects among R&D projects. To solve these problems, we have designed a new evaluation indicator called a $ulcorner$Cost-Cross Effect Integration Indicator$lrcorner$ including cross effects developed in this research. The major research findings are summarized as follows : (1) $ulcorner$Coist Estimation Model$lrcorner$, which estimates the cost factors divided into two classes of assembly product and system product and then integrates the total cost values, has been designed. (2) A new method for estimating parameters of cross effects among R&D projects has been developed. (3) $ulcorner$Cross Effects Estimation Model$lrcorner$ to estimate multi-effects and cross effects by completion time among several projects has been designed. (4) $ulcorner$Integration Estimation Indicator$lrcorner$ for setting priority on a project group has been extracted by combination of total cost value and total effect value.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.64 no.5
• /
• pp.41-51
• /
• 2022

Carbon neutrality is emerging as a new paradigm for the international society by transiting from climate change to climate risk. This study proposes evaluation methods for the carbon reduction contribution of climate-related national R&D projects in order to introduce a green budget system in the agricultural sector. We considered the domestic and foreign green budget systems and classified national R&D projects into positive, negative, and neutral from the perspective of carbon reduction. The results of this study propose three methods to estimate the monetary costs and carbon benefits by adopting the framework for the economic evaluation of national R&D projects conducted by the Rural Development Administration. These methods support to evaluate the potential contribution to carbon reduction of national R&D projects in the agricultural sector. Finally, the proposed methods were tested and verified for the efficiency and validity of evaluating carbon reduction contribution. These evaluation methods of the carbon reduction contribution can be used as a basic methodology for the pre-budget calculations of national R&D projects and the contribution for the greenhouse gas reduction budget.

• IE interfaces
• /
• v.20 no.3
• /
• pp.376-386
• /
• 2007

The analytic hierarchy process (AHP), a well-known and useful decision making method, has been applied to R&D project evaluation and selection. The objective of this study is to propose a new model for evaluating and selecting R&D projects of Samsung Electro-Mechanics, the top manufacturer of electronic components in Korea, using the AHP. To show the validity of the new model, we strived to successively compare the final priorities for R&D projects with the priorities obtained by the existing model and the new model respectively.

• Korean Management Science Review
• /
• v.12 no.3
• /
• pp.45-60
• /
• 1995

This study examines a normative model of project management systems, PPMS, to provide information for directing R&D activity in order to increase R&D productivity. The PPMS (Project Process Management System) is a disciplined and systematic framework to manage R&D projects effectively and efficiently under the assumption of a strategic decision making and long-range planning. The purpose of PPMS is to provide for the management of research organization at different levels an effective management tool; first, for the planning system which deals with rational selection and authorization of R&D projects, second, for the control system which concerns monitoring and controlling the execution of R&D projects, and finally, for the evaluation system which attains evaluation of the performance results of R&D projects and determination of the necessary follow-up. A view for the future development of project management within the context of a project-performing organization is also elaborated to exhibit the progress and phase description of the project management system.

• Journal of Satellite, Information and Communications
• /
• v.3 no.2
• /
• pp.54-59
• /
• 2008

Traditionally R&D evaluation has been performed by experts who can understand the contents of the study area very well. Recently extensive application of quantitative evaluation methods have been attempted for introducing the administrative management system that poses greater importance on records and results. More objective reviews on the R&D outcomes are called for gaining public supports. In this paper a bibliometrical analysis is to be performed to evaluate satellite communication and broadcasting public R&D outcomes for last 7 years. Data envelopment analysis method is selected for evaluating the efficiencies of multiple outputs (papers, patents, royalties, technology transfers) where multiple inputs (number of researchers and R&D expenses) are given. R&D outcomes from 22 research institutes are being compared and satellite communication and broadcasting R&D efforts turn out to be highly efficient.

• Korean Journal of Construction Engineering and Management
• /
• v.13 no.4
• /
• pp.110-119
• /
• 2012

Recently as the advent of knowledge-based competition, the major industrialized countries including Korea, are expanding their R&D investment and promoting policies for diffusing of R&D performance. For this, NASA, DoD and such agencies in the United States define Technology Readiness Level (TRL) as a quantified indicator for performance management, and also impose Technology Readiness Assessment (TRA) as a evaluation system, that evaluates technology maturity using TRL. These tools are judged to be very effective in R&D projects especially with the object of practical use. When this concept is applied to the domestic national construction and transportation R&D project for the purpose of practical use, it is expected that the evaluation system overcomes its weakness of focusing only on academic results and improves significantly on intent of achieving practical use. Thus in this study, TRL/TRA implementation model of construction and transportation R&D project for achieving purpose of practical use is presented through an analysis of TRL/TRA concept and domestic national construction and transportation R&D project's characteristics and current evaluation/management system.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.6 no.7
• /
• pp.1020-1025
• /
• 2002

Government R＆D Programs' success and failures depend on the choice of the excellent project from diverse proposal. Therefore project evaluation process should be transparency, objectivity and confidence. Institute of Information Technology and Assessment(IITA) working for the Ministry of Information and Communication(MIC). IITA management the informatization fund and government R & D program. IITA have execute choice of R & D project and assessment proposals and reformed the system of evaluation. This advanced evaluation system made in the end of the 90's and adapted it to the college basic R & D program in 1999. Advanced evaluation system is electronic and remote system. This advantage is very shift and correct to process. So the system save the task and money from 46% to 78%. But it is some Problem, security and technical experts for the choice of the Government R & D project in remote evaluation system.

• Journal of the Korean Regional Science Association
• /
• v.32 no.4
• /
• pp.3-18
• /
• 2016

National research and development(R&D) project plays an important role in the economic growth of a country as well as a company. This article aim to examine the development of the performance evaluation framework for assessing the contribution of national research and development(R&D) program to productivity growth. The main idea of this paper begins with the employment of between-group analysis for evaluating the returns to R&D. The method of this study is based on the comparison of productivity growth between different groups with time series data, not cross-sectional approach with one period. In these regards, backward effect and forward effect are operationally defined as a measurement for contributions of R&D in this study. The results of analysis gives that the outcomes of between-group analysis shows the lower performance of R&D compared to the within-group analysis. while the difference was not especially evident with the case of operating profit variable, but sales variable.

• IE interfaces
• /
• v.24 no.4
• /
• pp.314-322
• /
• 2011

This study analyzes a relationship between Data Envelopment Analysis(DEA) efficiency scores and a normalization index in order to examine the validity of DEA models. A normalization index concerned in this study is 'sales per R&D project fund' which is regarded as a crucial R&D project performance evaluation index in practice. For this correlation analysis, three distinct DEA models are selected such as DEA basic model, DEA/AR-I revised model(i.e. DEA basic model with Acceptance Region Type I constraints) and Super-Efficiency(SE) model. Especially, SE model is adopted where efficient R&D projects(i.e. Decision Making Units, DMU's) with DEA efficiency score of unity from DEA basic model can be further differentiated in ranks. Considering the non-normality and outliers, two rank correlation coefficients such as Spearman's ${\rho}_s$ and Kendall's ${\tau}_B$ are investigated in addition to Pearson's ${\gamma}$. With an up-to-date empirical massive dataset of n = 482 R&D projects associated with R&D Loan Program of Korea Information Communication Promotion Fund in the year of 2011, statistically significant (+) correlations are verified between the normalization index and every model's DEA efficiency scores with all three correlation coefficients. Especially, the congruence verified in this empirical analysis can be a useful reference for enhancing the practitioner's acceptability onto DEA efficiency scores as a real-world R&D project performance evaluation index.

• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.1-21
• /
• 2021

As the global business environment changes, uncertainties in technology development and market needs increase, and competition among companies intensifies, interests and demands for R&D activities of individual companies are increasing. In order to cope with these environmental changes, R&D companies are strengthening R&D investment as one of the means to enhance the qualitative competitiveness of R&D while paying more attention to facility investment. As a result, facilities or R&D investment elements are inevitably a burden for R&D companies to bear future uncertainties. It is true that the management strategy of increasing investment in R&D as a means of enhancing R&D capability is highly uncertain in terms of corporate performance. In this study, the structural factors that influence the R&D capabilities of companies are explored in terms of technology management capabilities, R&D capabilities, and corporate classification attributes by utilizing data mining techniques, and the characteristics these individual factors present according to the level of R&D capabilities are analyzed. This study also showed cluster analysis and experimental results based on evidence data for all domestic R&D companies, and is expected to provide important implications for corporate management strategies to enhance R&D capabilities of individual companies. For each of the three viewpoints, detailed evaluation indexes were composed of 7, 2, and 4, respectively, to quantitatively measure individual levels in the corresponding area. In the case of technology management capability and R&D capability, the sub-item evaluation indexes that are being used by current domestic technology evaluation agencies were referenced, and the final detailed evaluation index was newly constructed in consideration of whether data could be obtained quantitatively. In the case of corporate classification attributes, the most basic corporate classification profile information is considered. In particular, in order to grasp the homogeneity of the R&D competency level, a comprehensive score for each company was given using detailed evaluation indicators of technology management capability and R&D capability, and the competency level was classified into five grades and compared with the cluster analysis results. In order to give the meaning according to the comparative evaluation between the analyzed cluster and the competency level grade, the clusters with high and low trends in R&D competency level were searched for each cluster. Afterwards, characteristics according to detailed evaluation indicators were analyzed in the cluster. Through this method of conducting research, two groups with high R&D competency and one with low level of R&D competency were analyzed, and the remaining two clusters were similar with almost high incidence. As a result, in this study, individual characteristics according to detailed evaluation indexes were analyzed for two clusters with high competency level and one cluster with low competency level. The implications of the results of this study are that the faster the replacement cycle of professional managers who can effectively respond to changes in technology and market demand, the more likely they will contribute to enhancing R&D capabilities. In the case of a private company, it is necessary to increase the intensity of input of R&D capabilities by enhancing the sense of belonging of R&D personnel to the company through conversion to a corporate company, and to provide the accuracy of responsibility and authority through the organization of the team unit. Since the number of technical commercialization achievements and technology certifications are occurring both in the case of contributing to capacity improvement and in case of not, it was confirmed that there is a limit in reviewing it as an important factor for enhancing R&D capacity from the perspective of management. Lastly, the experience of utility model filing was identified as a factor that has an important influence on R&D capability, and it was confirmed the need to provide motivation to encourage utility model filings in order to enhance R&D capability. As such, the results of this study are expected to provide important implications for corporate management strategies to enhance individual companies' R&D capabilities.