• Proceedings of the Korean Nuclear Society Conference
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• 2005.05a
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• pp.255-256
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• 2005

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.197-198
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• 2005

• Journal of applied mathematics & informatics
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• v.5 no.3
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• pp.819-826
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• 1998

The purpose of this paper is to prove the following results; (1) Let R be a prime ring of char $(R)\neq 2$ and I a nonzero left ideal of R. The existence of a nonzero symmetric bi-derivation D : $R\timesR\;\longrightarrow\;$ such that d is sew-commuting on I where d is the trace of D forces R to be commutative (2) Let m and n be integers with $m\;\neq\;0.\;or\;n\neq\;0$. Let R be a noncommutative prime ring of char$ (R))\neq \; 2-1\; p_1 \;n_1$ where p is a prime number which is a divisor of m, and I a nonzero two-sided ideal of R. Let $D_1$ ; $R\;\times\;R\;\longrightarrow\;and\;$ $D_2\;:\;R\;\times\;R\;longrightarrow\;R$ be symmetric bi-derivations. Suppose further that there exists a symmetric bi-additive mapping B ; $R\;\times\;R\;\longrightarrow\;and\;$ such that $md_1(\chi)\chi ＋ n\chi d_2(\chi)=f(\chi$) holds for all $\chi$$\in$I, where $d_1 \;and\; d_2$ are the traces of $D_1 \;and\; D_2$ respectively and f is the trace of B. Then we have $D_1=0 \;and\; D_2=0$.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.217-225
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• 2019

National research and development(R&D) information is information generated in the process of performing R&D based on programs and projects issued by national government departments, and includes information from various research fields as ordered by various departments. Therefore, for efficient R&D information retrieval, it is necessary to build a national R&D terminology dictionary that can reflect the characteristics of such national R&D information. In this study, we propose a method for constructing a national R&D terminology dictionary by applying the classification of science and technology standards used to specify the research field in national R&D information. We will discuss the structural characteristics of national R&D project information and the usefulness of the project keyword, and explain the status of national R&D information by the National Standard Science and Technology Classification(NSSTC) Codes and the characteristics of the national R&D terminologies. Based on this, a method for building a national R&D terminology dictionary is defined in terms of the type and structure of the terminology dictionary, preliminary construction procedures, and refining rules. The national R&D terminology dictionary built on the basis of this study can be used in various ways such as expansion of search terms using Korean-English equivalent words and synonyms when searching national R&D information, clarifying the scope of search using NSSTC, and providing user convenience functions using term explanation information.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.650-671
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• 2013

Products elicit the consumer's purchasing behavior by satisfying their needs and are cognized as the combination of various needs attributes. Also R&D is referred as a series of technical development activities to meet the consumer's needs attributes. In particular, in the market-oriented R&D era, it could obtain the legitimacy by developing the R&D based on the needs attributes. In this study, we aimed to investigate the priority setting in R&D field, considering consumer's needs attributes. To be concrete, we tried to present the evolutional direction of desirable phased R&D according to 'the importance degree for consumers on the attributes (functions) of the certain products' and 'the urgency degree of technical quality to fulfill its needs'. To achieve this, we targeted SMART TV, the convergence product, which contains the uncertainty in terms of marketability and technological aspect, and analyzed the priority of the R&D in SMART TV field. Based on the result of the analysis, 4-steps product concept (ultra high definition TV, interactive TV, 3D/immersive TV, personalized TV) is derived by analyzing the evolutional direction of R&D in SMART TV field. This finding implies that the success possibilities of product could be enhanced during the process of the evolution of products that have multiple needs attributes, by pursuing the R&D which fulfills the needs attribute first required in the market. In addition, it provides a useful framework to design the R&D roadmap in an aspect of R&D strategy.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.29-47
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• 2016

The government has been implementing the preliminary feasibility study to examine previously a plan of the national R&D program submitted by each government ministry or institution and decide whether to reflect its budget. However, although R&D investments obviously have a different contribution depending on the different types of project, the current system applies the average R&D contribution rate to whole industry across the board in order to estimate benefits of the creating value from the R&D activity. This system in turn will cause a distorted result in the economic feasibility analysis. Therefore, this paper conducts an empirical analysis on the ICT R&D contribution for the creating value added, on behalf of all industries, through the growth accounting method and explores an applicability of the differential R&D contribution rate as an alternative by comparing to the existing R&D contribution rate. The result of this paper shows the ICT R&D contribution rate is 48.2%, and we can find out there is a significant difference compared to the existing R&D contribution rate. In light of this, it is necessary to adopt carefully the differentiated R&D contribution rate considering project characteristics.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.57-89
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• 2016

This paper used individual establishment level data to estimate the effects of government support for the research and development of 'small and medium enterprises'(SMEs). We analyzed, on the establishment level, the degree of technical advancement, strength of private R&D incentives, and the effect on employment levels of firms which participated in the 2010 government R&D support project. The results of this study are as follows. First, the size and frequency of government investment in the R&D of SMEs were both positively correlated with the amount of patent registrations. Furthermore, we found that the amount of patent registrations were positively correlated with the size of the establishments, but the average level of technological advancement for the firms running the research was lower than the average level of technological advancement for the firms merely participating in the project. Second, the government's R&D policy was found to be complementary to private R&D incentives, and a 1% increase in government R&D investment resulted in an inelastic increase (0.193~0.245%) of the firms' post-program R&D spending. Third, we found that R&D support from the government contributed to an increase of employment by the participating firms. Additionally, we found that the impact of R&D support on job creation varied for the firm size and technological characteristics. Therefore, it is important for governments to take into consideration each type of small business, when setting R&D policies.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.360-387
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• 2009

In this paper, we analyse empirically the effects of internal financing on investment of innovative small and medium sized enterprises listed on Kosdaq Market of Korea Exchange. The main results of this study can be summarized as follows. Free cash flows by proxy variables of internal financing have the significant effects on R&D investment as well as fixed asset investment. Internal financing has much more effects on R&D investment of general enterprises listed on Kosdaq Market than that of venture enterprises listed on Kosdaq Market, and on R&D investment of innovative enterprises than that of non-innovative enterprises. Internal financing has more effects on asset-counted R&D investment than cost-counted R&D investment. Asset-counted R&D investment is counted in intangible assets on Balance Sheet, and cost-counted R&D investment is counted in cost on Income Statement. Internal financing has more effects on R&D investment of financial constrained enterprises than that of financial unconstrained enterprises. Financial constraints is measured by credit ratings. Faulkender and Smith (2007) emphasize that low credit ratings enterprises are more likely to face financial constraints, and they rely largely on internal financing.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.139-150
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• 2017

In Korea, small and medium-sized enterprises (SMEs) play an pivotal role in the national economy, accounting for 99.9% of all enterprises, 87.9% of total employment, and 48.3% of production. In spite of their crucial role in the national development, most of SMEs suffer from a lack of R&D related resources. Public R&D organizations such as government-funded research institutes can provide SMEs with valuable supplementary technological knowledge and help them build technological capacity. In this regard, this study estimated the effect of internal R&D investment and private-public R&D cooperation on technological innovation of ICT SMEs based on 2016 ETRI Survey. Building on previous literatures, the study established and tested a research model using binary logistic regression analysis. First, internal R&D investment and preferences for open innovation demonstrated the strengthening of R&D collaboration. Second, internal R&D investment and R&D cooperation showed a positive effect on both product and process innovation. Therefore, internal R&D capability and taking advantage of R&D collaboration are needed to achieve technological innovation for SMEs in ICT sector. This study also discuss implications for encouraging private-public R&D cooperation.

• Journal of Technology Innovation
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• v.19 no.2
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• pp.25-51
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• 2011

This study examine the firms fund R&D expenditures through cash and cash equivalents under financial distress in order to avoid huge adjustment costs that can be brought after R&D expenditures cut-down. Other study divided the firms' financial condition by only firms' year. This study identifies the firms' financial condition not only by a firm's year but also by firm size and Altman's Z-Score and K-Score. The results show that there are statistically negative relationship between R&D expenditures and cash and cash equivalents when firms are under financial distress. The results are same regardless of criteria of classification of firms' financial condition, which is consistent to the hypothesis. Young and small firms and firms with moderate possibility of bankruptcy fund R&D expenditures through cash and cash equivalent compared to the other firms. We can find the new evidence when we classify the firm by Z-Score and K-Score of Altman. The firms with high possibility of bankruptcy can not fund for R&D activities from cash, but only the firms with moderate possibility of bankruptcy fund R&D expenditures through cash and cash equivalent in the condition of financial distress. The evidence suggests that firms fund R&D expenditures by cash and cash equivalent when they are under financial distress. Findings provide an implication on the management of R&D expenditures and liquidity in the firms.