• Journal of Korea Technology Innovation Society
• /
• v.21 no.1
• /
• pp.420-453
• /
• 2018

In the growth of the government's investment in national R&D project and the abuse of research expense, an effective control and management mechanism is strongly demanded. However, an excessive regulation might hinder the R&D performance, which also endangers the underlying objective of R&D policy. Especially, an excessive regulation on the R&D expenditure may damage the SMEs (Small and Medium sized Enterprises) where securing an adequate level of R&D funding is vital. This study investigates the R&D funding and R&D performance of SMEs participating in the national R&D project by using fixed effect panel model. As a result, this paper reveals the effectiveness of 'Government R&D subsidy'. However, that of 'private R&D fund' is not supported strongly. Also, this paper empirically demonstrates the efficiency of both 'Government R&D subsidy' and 'Private R&D fund' as the R&D costs are spent discretionarily (as the degree of 'Indirect Cost Ratio' increases). Especially, the effectiveness of 'Private R&D fund' can be moderated by 'Indirect Cost Ratio'. On the basis of the conclusions, this paper draws an implication that can increase R&D performance of SMEs through the interactions of manifold administrative values (i.e. effectiveness, efficiency and responsibility).

• Knowledge Management Research
• /
• v.22 no.3
• /
• pp.91-106
• /
• 2021

With the recent rapid development of deep learning technology, the demand for analyzing huge text documents in the national R&D field from various perspectives is rapidly increasing. In particular, interest in the application of a BERT(Bidirectional Encoder Representations from Transformers) language model that has pre-trained a large corpus is growing. However, the terminology used frequently in highly specialized fields such as national R&D are often not sufficiently learned in basic BERT. This is pointed out as a limitation of understanding documents in specialized fields through BERT. Therefore, this study proposes a method to build an R&D KoBERT language model that transfers national R&D field knowledge to basic BERT using further pre-training. In addition, in order to evaluate the performance of the proposed model, we performed classification analysis on about 116,000 R&D reports in the health care and information and communication fields. Experimental results showed that our proposed model showed higher performance in terms of accuracy compared to the pure KoBERT model.

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

• IE interfaces
• /
• v.23 no.1
• /
• pp.78-88
• /
• 2010

In this paper we develop a model for the performance evaluation of defense R&D test development projects based on analytic hierarchy process. First, evaluation indicators are collected through the related literature survey and a delphi inquiry method. Second, stepwise multiple linear regression is used for developing a hierarchical structure for analytic hierarchy process in the evaluation model, which can make the selected evaluation indicators of the hierarchical structure independent. Also we verify the effectiveness of proposed indicators of the performance evaluation by comparing with the existing evaluation indicators. The developed indicators for the performance evaluation is more reasonable and practical than the previous indicators on defense R&D test development projects.

• Korea Trade Review
• /
• v.45 no.1
• /
• pp.47-64
• /
• 2020

For the past few years, the Korean government has been consistently expanding its national research & development budget to accelerate economic growth through technology innovation and the enhancement of international competitiveness in global markets. The objective of this paper is to define the concept and analyze the current status of national R&D programs by measuring R&D efficiencies. We determine R&D efficiency by reflecting inputs and outcomes of the five main agricultural R&D programs between 2010 to 2015, and by categorizing and regrouping figures that may affect R&D performance. Among 1,128 targeted projects, 832 projects with patents and thesis were selected for analysis in terms of measuring technology efficiency, pure technology efficiency, and efficiency of scale. Also, the Kruskal-Wallis test was also utilized as well. As a result of empirical analysis, figures that affected the efficiency level of national R&D programs included differences in research resources, research management levels and skills, and research field. This study can be utilized as a reference for re-establishing national agricultural R&D policies, such as enhancement of national technology competitiveness in the global market environment, improving and adapting to new agricultural conditions, market expansion, national agricultural R&D efficiency, aging rural population, agricultural management cost increase, and climate change mitigation.

• Journal of Korea Technology Innovation Society
• /
• v.15 no.2
• /
• pp.277-298
• /
• 2012

Once a production focused on primary industry, Food, agriculture, forestry and fisheries industry is now trying to shed away and plans to totally transform the paradigm of agricultural R&D with a leaping goal towards being a new growth engine. Promoting the bioindustry through utilizing agricultural bioresources was selected as the primary task and also made all efforts to support by all government department and ministry. In this study, we are raised problems and planned the improvements by the empirical analysis of national R&D policy, investment strategy, the recent progress of R&D program, and the performance of R&D investment to achieve early commercialization in fields of agricultural bioresources utilizing. We also propose the R&D role sharing and cooperations of public/private sector to commercialize the agricultural bioresources from the comprehensive empirical analysis results. It will eventually strengthen the national R&D investment strategy and efficiency and then will contribute towards a successful early commercialization performance in bioindustry through utilizing agricultural bioresources.

• Journal of Internet Computing and Services
• /
• v.21 no.3
• /
• pp.61-70
• /
• 2020

The 4th Industrial Revolution is a revolutionary change through intelligence, big fusion and personalization, and the importance of sensor technology that is the basis of core technology is emerging. This study empirically analyzes the derivation of national strategy for R&D of sensor technology, and draws out the effect of technology internalization effort through strategic R&D activities on technical performance and further on national economy. The research and development results are calculated for each type of technology internalization, and the results of the research and development are verified to establish a structure that contributes to the national economic performance. As a national technology internalization strategy, considering its own R&D investment and joint research and development, we examine the impact of each factor on patents and GDP, focusing on causality and ripple effects. For causality analysis, Grandeur causality analysis shows that R&D investment and joint research and development in all countries have mutual causal relationship with GDP. The implications are as follows. First, it is necessary to establish the policy of national economic development through the internalization of technology and knowledge. Second, it is necessary to establish policies according to the type of knowledge internalization. Third, it will be necessary to create an ecosystem environment based on a virtuous relationship between knowledge internalization and national technology and economic development.

• The Journal of the Korea Contents Association
• /
• v.15 no.11
• /
• pp.559-570
• /
• 2015

As national R&D is increased in scale, technology transfer has garnered more attention in terms of utilizing R&D outcomes. In this study, we analyzed influencing factors to technology transfer, as a way of utilizing R&D results, using data on national R&D. The analyses was performed with 3 subjects: university, government research institute and industry. When royalty is used as a dependent variable to measure the performance outcomes of technology transfers, the analysis showed that R&D funds have positive influence on all three subjects. In terms of government research institute, the influence was significant whether the location is the capital area or Daejeon city. With regards to industry, factors such as whether the project is a cooperative research, applied research, and the research to technology transfer period were found to have remarkable influence. On the other hand, when the number of cases of technology transfer was used as a dependent variable, the analysis indicated that R&D funds have significant impact on university, while for government research institute, the significant influencing factors include both R&D funds and the research to technology transfer period, and for industry have positive influence on applied research. It is therefore necessary to make differentiated policies considering the R&D organizations in order to improve the efficiency of technology transfer performance.

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

• Journal of Internet Computing and Services
• /
• v.24 no.6
• /
• pp.31-39
• /
• 2023

The purpose of this study is to propose a scientific performance evaluation framework for measuring and managing the overall outcome of complex types of projects that are linked to public demand-based commercialization, such as information system projects and public procurement, in integrated national R&D projects. In the case of integrated national R&D projects that involve multiple research institutes to form a single final product, and in the case of demand-based demonstration and commercialization of the project results, the existing evaluation system that evaluates performance based on the short-term outputs of the detailed tasks comprising the R&D project has limitations in evaluating the mid- and long-term effects and practicality of the integrated research products. (Moreover, as the paradigm of national R&D projects is changing to a mission-oriented one that emphasizes efficiency, there is a need to change the performance evaluation of national R&D projects to focus on the effectiveness and practicality of the results.) In this study, we propose a performance evaluation framework from a structural perspective to evaluate the completeness of each national R&D project from a practical perspective, such as its effectiveness, beyond simple short-term output, by utilizing the Hourglass model. In particular, it presents an integrated performance evaluation framework that links the top-down and bottom-up approaches leading to Tool-System-Service-Effect according to the structure of R&D projects. By applying the proposed detailed evaluation indicators and performance evaluation frame to actual national R&D projects, the validity of the indicators and the effectiveness of the proposed performance evaluation frame were verified, and these results are expected to provide academic, policy, and industrial implications for the performance evaluation system of national R&D projects that emphasize efficiency in the future.