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

• 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.

• 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 the Korean Data and Information Science Society
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• v.24 no.3
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• pp.557-569
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• 2013

Risk management activity for successful defense R&D project should be done anticipatorily and consistently over the entire project period and there should be a priority for management depending on importance of the risk factors. In this study, we verified the reliability and validity through factor analysis for the risk factors selected by the Delphi technique. We also obtained the relative importance of risk factors with analytic hierarchy process (AHP) and decided to prioritize for comparison of domestic and overseas research. According to the study, we found that it is important to settle the requirements and to classify the scope of R&D. It is also considered significant to have reasonable schedule for completion and secure the necessary resources in the early stage of project. Unlike previous studies, it appeared the technical factors are critical elements as well for defense R&D project.

• Proceedings of the Technology Innovation Conference
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• 1997.07a
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• pp.247-265
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• 1997

The objectives of not-for-profit organizations including government supported research institutes are, by definition, to achieve socially desired nonfinancial goals. Current reporting focuses on providing information to meet the needs of users. This information may be provided in the annual research report, financial report, and other reports. An objective of current reporting is to provide users with information that will assist them in evaluating the performance(efficiency and effectiveness) of reporting entity. The evaluation of R&D project's performance requires information not only about the acquition and use of resources, but also about the outputs and outcomes of R&D activities, This study aims to recommend that R&D Service Efforts and Accomplish- mints(SEA) reporting is useful for performance evaluation in national R&D programmes. To achieve this aims, I attempt to develop the R&D SEA measures with reference to the Concepts Statement No. 2 of the Governmental Accounting Standards Board. R&D SEA measures consist of five categories : (1) input measures, (2) outcome measures, (3) output measures, (4) re1a1e efforts to accomplishments, (5) explanatory information.

• ETRI Journal
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• v.39 no.4
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• pp.467-479
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• 2017

This study examines how the characteristics of cooperative research and development (R&D) projects in the public domain impact information and communication technology (ICT) convergence. Based on the analysis of 416 cooperative R&D projects under the ICT-based industry convergence R&D program in Korea, the study finds that the characteristics of cooperative R&D projects significantly impact ICT convergence. Moreover, the participation of public research institutes and universities is critical for ICT convergence compared with that of firms. However, in firm-to-firm cooperation, the participation of small and medium enterprises contributes to cross-sectional convergence, while the participation of large firms leads to overall and longitudinal convergence. R&D inputs such as the number of partners and government subsidies exhibit an inverted U-shaped relationship (negative quadratic effect) with technology convergence. Project duration and homogeneous partners are also critical factors for ICT convergence. The results indicate several implications and guidelines on how to effectively organize cooperative R&D projects to facilitate technology convergence.

• Journal of Korea Spatial Information System Society
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• v.11 no.4
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• pp.9-18
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• 2009

R&D businesses lead by a government of each countries are recognized as important businesses that may affect the destinies of the nation. However, the process of developing a new business has not been so favorable as the process was primarily managed by engineers who concentrate on research development. The problem was solved by applying a business model regarding outcomes of a developed research. Yet it is difficult to apply the business model methods that are commonly used for enterprises to government's research businesses due to their unique research development characteristics. Therefore, it is developed a business model methodology for national R&D project in this study. In addition, the methodology applies to a sub-project of Korean Land Spatialization Program(KLSP) organized by Ministry of Land, Transport and Maritime Affairs to verify the possibility of practical application.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1809-1816
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• 2021

In order to identify the latest research trends using data related to national R&D projects and to produce and utilize meaningful information, the application of automatic classification technology was also required in the national R&D information service, so we conducted research to automatically classify and recommend research field. About 450,000 cases of national R&D project data from 2013 to 2020 were collected and used for learning and evaluation. A model was selected after data pre-processing, analysis, and performance analysis for valid data among collected data. The performance of Word2vec, GloVe, and fastText was compared for the purpose of deriving the optimal model combination. As a result of the experiment, the accuracy of only the subcategories used as essential items of task information is 90.11%. This model is expected to be applicable to the automatic classification study of other classification systems with a hierarchical structure similar to that of the national science and technology standard classification research field.

• Information Systems Review
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• v.12 no.2
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• pp.167-187
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• 2010

The governmental R&D projects have put a great emphasis on returns on R&D investment through development of market- and customer-oriented technologies and their commercialization. A successful commercialization of the technology developed from a R&D project relies on development of the technology intriguing customers, establishment of effective commercialization strategies throughout the stages of R&D planning and development, and interactive communication between the technology developer and a private company that will do a business with the technology. The business modeling helps accomplish the requirements for the successful commercialization. The past literature about technology commercialization does not provide a systematic procedure in developing a business model for the governmental R&D project. In this study, we proposed a systematic procedure developing a business model integrating peculiar characteristics of governmental R&D and viewpoints of technology developers and professionals of technology commercialization. It can be a useful guideline for developing a business model for the governmental R&D project.

• The Journal of Korean Medicine
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• v.30 no.4
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• pp.47-58
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• 2009

Objectives: Several domestic search systems for research projects providing capabilities of searching and managing the research information based on metadata have been completed, although they cannot search projects for specific domains such as the Oriental Medicine field. Therefore, in this paper we propose an effective method for collecting and refining information of research projects in the oriental medicine field. We also design and implement a search management system based on the collected information. Methods: We chose three search elements and defined the collecting process for research projects. The collected information was refined to enhance the quality of results. Then, the search management system was implemented by Adobe Flex. Results: We were able to collect 1,688 research projects in the oriental medicine field. We also implemented the search management system, which provides the functionalities of search and management such as input, update, delete, spreadsheet import/export of R&D projects, user management and access control. Conclusions: The collected information and the search management system will be used in a project analysis system which will be constructed in the future. The project analysis system could help to analyze trends in oriental medicine research as well as construct a technical roadmap.