• Proceedings of the KIEE Conference
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• 2004.11b
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• pp.211-213
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• 2004

실시간 데이터를 대상으로 하는 전력 계통응용 프로그램을 개발하기 위해서는 SCADA 시스템이 다루는 Point Data를 Device Level의 속성으로 해석할 수 있어야 한다. 본 논문에서는 이러한 관계를 나타낼 수 있는 Mapping 기법을 제안하고 실제 응용 프로그램에 적용한 사례를 소개하고자 한다.

• Journal of Sericultural and Entomological Science
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• v.7
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• pp.1-26
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• 1967

In order to develop the standards for the measurement of drought resistance in mulberry trees (Morus genus) the varietal differences of drought resistance were measured for 30 mulberry varieties, and the relationships between the drought resistance and the histological and physiological characteristics of mulberry leaves were investigated. The results were summarized as follows; 1. It is reasonable to use the drought resistance ratio, expressed by D/D'＊100, for the standard of drought resistance measurement for mulberry tree as a perennial tree crop. Where: D stands for growth amount(shoot length) in the plot of dry treatment, at the end of treatment. D' stands for an expected value of D which is expressed by B＊C/A. Here, A is the growth amount of wet treatment plot at the beginning of treatment, B is the growth amount of dry treatment plot at the beginning of treatment, and C is the growth amount of wet treatment plot at the end of treatment. 2. The results obtained from the application of above formula showed that the varieties Cadaneo, Tahozosaeng, Yongchunchuwu, Kaeryang suban. and Kabsun were highly resistant to drought and the varieties Jukmok, Shipyung, Sobun, Kaeryangzosaeng shipmoonza and Chungagokyo were highly susceptible. 3. Among leaf tissues. the rate of inter-cellular space showed the highest relationship with drought resistance. The correlation coefficient calculated (r=0.4153) was highly significant. Other leaf tissues such as epidermis and palisade showed no significant correlations with drought resistance. 4. The size and density of stomata were correlated to drought resistance. That is: Correlation between drought resistance and size of stomata(length ${\times}$ width)......r= -0. 3253(signif. at 5%) density(No. of stomata/l$\textrm{mm}^2$......r= +0.5047(signif. at 1%)

• Knowledge Management Research
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• v.19 no.2
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• pp.1-19
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• 2018

This study aims to identify the causal relationship among public technology transfer, technological performance, and research and development (R&D) productivity. Using the impulse-response function(IRF) of a panel vector autoregressive model (panel VAR), this study suggests the results of how long the factors such as technological performance (patent), public technology transfer, and R&D productivity takes and lasts if a one-unit shock of standard deviation occurs. As a result, first, the increase of public technology transfer activities has no power to increase the technology performance but improve the R&D productivity. If the public institute increases its technology transfer activities by one unit, the R&D productivity will increase within five years. Second, the impact of increasing technological performance on improvement of public technology transfer and R&D productivity is an insignificant. Third, the effect of R&D productivity on the public technology transfer creates a substantial reaction after a current time. Considering the structural relationships among public technology transfer, technological performance, and R&D productivity, if policy makers intend to construct the active R&D circumstance, technology suppliers should be motivated to run the active R&D mechanism because they achieve gains.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.601-610
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• 2013

Purpose: The purpose of this paper is to analyze the relationship between R&D investment and growth rate of manufacturing firms in Incheon. Methods: The balanced panel data of 246 firms which have existed for the period 2001-2012 are constructed. As a method of analysis, fixed effects panel data model is used. Results: There is a one year lag in the relationship between R&D intensity and the subsequent sales growth of firms and its relation depends on the firms' characteristics. Conclusion: We suggest the emphasis on R&D investment for firms' growth and the differentiated R&D program based on firm size. This article has the limitation that various types of R&D investment cannot be included in this analysis.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.65-82
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• 2002

This paper inquires into the causal relationship between R&D investment and GDP (Gross Domestic Product) in Korea. We apply the method of unit-root test, co-integration test, and Hsiao version of the Granger causality test to find the evidence of bi-directional causality between R&D and GDP. However, it is interesting to observe no significant directional effect between government funded R&D and GDP while private sector funded R&D turns out to affect GDP significantly. Utilizing the previous study results on bi-directional relationship between government and private sector funded R&D, we draw the following conclusion: In order to increase GDP, government funded R&D needs to induce private sector to fund more R&D in an effective manner. In this way, government is expected to indirectly participate in the development for better economy in Korea.

• Journal of Information Technology Services
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• v.8 no.3
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• pp.1-14
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• 2009

Due to economic turbulence and fierce competition in the IT service industry, companies have been seeking breakthrough of offerings by investing in research and development (R&D). This paper aims to examine the impact of R&D expenditure size on financial performance focusing on Korean IT service companies. The expected growth rate of revenue and net profit in the upcoming two years were analyzed based on three groups according to different R&D expenditure rates using collected data from 100 of IT service companies. Unlike our presumptions, our finding presents a non-significant relationship between the R&D expenditure size and companies' financial performance. An interesting result among others is that all companies invested in R&D strongly believe there will be an increase of their financial performance in the future.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.05a
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• pp.226-240
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• 2015

The purpose of this study is to establish a proper evaluation system for R&D performance by analyzing relationships between quantitative results of science& technology and national wealth. We analyzed 193,474 research papers in multi-disciplinary fields from SCOPUS database and explored co-relations between HCP production by section and national wealth. This research found a significant relationship between the number of HCP papers and GDP & GDP per capita by nation. Also, results from this study indicate that top 30 to 40 percent of researches should be reflected in the performance evaluation while these numbers could be flexible in accordance with the direction of national policy. In terms of future research, this study provides basis for designing more effective R&D performance evaluation systems.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.187-197
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• 2019

The purpose of this study is to analyze the capacities of innovation in the organization, and to examine the effects of corporate entrepreneurship, R&D capability, technology commercialization capacity and technology orientation. First, the research model and hypothesis were established based on the literature research and 153 questionnaires were distributed and collected among management office workers among manufacturing workers in Kyungbuk. The results of this study confirm that the corporate entrepreneurship positively affects R&D capacity and that R&D capacity has a positive effect on technology commercialization capacity. And we confirmed the significant moderating effect of technology orientation. However, there is no mediating effect of R&D capability on the relationship between corporate entrepreneurship and technology commercialization. These findings can provide guidelines for organizational management in the cultural aspect by identifying the effects of in-house entrepreneurship and technology orientation on cultivating the innovation capacity of management office at the organizational level.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1268-1295
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• 2018

This study examines the effects of policy mix on R&D efficiency in by using data from 2014 and 2016 Korean Innovation Survey. The DEA-Tobit analysis is used to estimate the impact of policy mix on relative R&D efficiency. As a result of the DEA analysis, the R&D efficiency of the Korean manufacturing industry firms is low, because the R&D investment has not been used effectively. According to the Tobit model, policy mix have a positive effect on R&D efficiency. In particular, the combination of market-oriented, market supply-oriented, and supply demand-oriented policy mix showed a positive relationship with R&D efficiency. R&D portfolio is necessary to improve R&D efficiencies and government has to facilitate a policy mix in view of the nature of firms and Consistency of policy tools.

• Journal of Technology Innovation
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• v.22 no.1
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• pp.1-22
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• 2014

R&D investment also has a gestation period similar to other investments in economics. The gestation period originates from time lag effect of input and output. Thus it is necessary to consider time lag effects when analyzing the relationship between firms' R&D investment and R&D performance. The main objective of this research is to estimate the length of time lag effect of R&D investment. The Almon distribution lag model was applied to estimate the time lag effect. The firm level panel dataset was established from 2002 to 2009. The net value of R&D investment and the number of patent applications were used to measure R&D input and output, respectively. This method found the estimated time lag to be 1~2 years across all datasets. The same analyses were applied to chemical, metal, electronic, exact science, and machinery industries' data. And we found there were differences among sectors in regard to the time lag effect.