• Economic and Environmental Geology
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• v.40 no.6
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• pp.797-804
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• 2007

This study was carried out to analyze public recognition of geo-technology and its outcome. On the basis of the study, the task of PR/communication to promote status of geo-technology and the PR program by stage(SMTCR) for strategy of geo-technology outcome were suggested as follows; operation of PR committee and plus-one appraisal system on a sender scope, media caravan tour and opinion editorial for geo-technology on a message scope, geoscience award and active use of "the year of earth science" on a tool and channel scopes, and regular measurement of public response and regular appraisal of PR goal/results on a receiver scope.

• Fisheries and Aquatic Sciences
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• v.18 no.4
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• pp.417-420
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• 2015

We investigated the relationship between viability and IGF-1 receptor (IGF-1R) activity in D-shaped and umbo larvae of the surf clam Spisula sachalinensis after treatment with vitrification solution (VS) or freezing. In a toxicity assay, VS1, containing 5 M dimethyl sulfoxide (DMSO), was very harmful to D-shaped and umbo larvae. However, VS2, containing 5 M ethylene glycol (EG), was not harmful to either larval stage. Although VS2 had a promising toxicity test outcome, none of the larvae survived vitrification. After immersion into VSs and freezing, IGF-1R ${\beta}$-subunits were detected in all larvae; however, tyrosine phosphorylation of intracellular ${\beta}$-subunits was detected only in the control and live groups. These results suggest that activation of IGF-1R may influence surf clam larvae viability.

• Journal of Service Research and Studies
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• v.8 no.3
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• pp.115-136
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• 2018

Recently R&D projects take a collaborative works which involve industries, research institutions, and academic fields together. Collaborative R&D enjoys the economy of scales and economic efficiencies in that costs and risks share each others and compensate their competences. But there are some problems. The imbalance of power, the asymmetry of information, loss of trust, and opportunism among the co-researchers make the collaborative R&D difficult to succeed and disappointed outcomes. There are many variables on explaining the interorganizational relationships. Among them, I choose some relevant variables, construct research model and some hypotheses. Independent variables are fairness and quality, and dependent variables is loyalty. And trust are treated as the intervening variable between the independent variables and dependent variable. To test the research model and some hypothesis empirically, I collected the data using the questionnaire, The questionnaire was distributed to the persons that do collaborative R&D in Daeduck Innopolis. Sample size was 448, it was enough to analyze statistically. Data were analysed using the SPSS and AMOS. Procedural fairness and distributive fairness affect the organizational trust positively, and procedural fairness and distributive fairness affect member trust positively. Procedural quality and outcome quality affect the organizational quality positively. Procedural quality affects the member trust positively, but outcome quality does not affect member trust. Procedural fairness and distributive fairness does not affect the loyalty positively. Procedural quality does not affects loyalty, but outcome quality affects the loyalty positively. The organizational trust affects loyalty positively, and member quality affect loyalty positively.

• Journal of Information Technology Services
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• v.15 no.2
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• pp.51-63
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• 2016

In this study, we conducted a comparative analysis of R&D investment efficiency and operational efficiency of IT firms using Data Envelopment Analysis (DEA). We categorized thirteen sample firms into two groups-IT manufacturing and IT service-after an extensive literature review on IT industry classification. We adopted an output-oriented two-stage DEA model suggested by Banker et al. (1984) with total asset and R&D investment as input variables. Then, we constructed investment efficiency and operational efficiency by using Return on Equity (ROE) and Return on Asset (ROA) as intervening variables and operating income and Earnings Per Share (EPS) as output variables. The outcome of the analysis is summarized as follows. First of all, IT manufacturing firms were more efficient (57% on average) than IT service firms. To be specific, IT service firms showed decreasing returns to scale (DRS) with diseconomy of scale. In contrast, IT service firms showed higher operational efficiency (81.5% on average) than IT manufacturing firms. Also, we conducted a Mann-Whitney U test to compare the output of IT service firms and IT manufacturing firms. Lastly, we found a negative correlation ($R^2$ = -.754) between R&D investment efficiency and operational efficiency which infers the trade-off between two constructs

• Journal of Technology Innovation
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• v.21 no.1
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• pp.165-198
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• 2013

The purpose of the study is to identify risk factors and analyze risk impacts to increase R&D outcome by taking into consideration the activities undertaken in each phase of New Product Development(NPD) process. The paper builds on survey research that has been developed new IT products within the past 5 years at SAMSUNG and LG subsidiaries in the Republic of Korea. This study identified risk factors in accordance with NPD process and evaluated the identified risk factors with survey questionnaires. To analyze the risk impacts were used to perform a logistic regression analysis based on R&D output. The impact of risk factors were higher for the low-output group. High-output group took a risk into consideration unique undertakings in project management and managed risk factors effectively in order to increase R&D output. Consequently, with the aim of improving output of R&D, a risk management is necessary to identify the risk factors for each phase of NPD and focus on managing risk factors with great effect.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.552-577
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• 2011

We have analyzed technology transfer and commercialization process and factors affecting the outcomes of technology commercialization of public research institutes in Korea. A technology commercialization process model was presented as an input, intermediate outcomes/capabilities, output (outcome) structure using the structural equation model. Input variables include R&D input, technology commercialization strategy/support, collaboration, social capital. The model also includes R&D capabilities and technology commercialization performance as intermediate variable and output variable respectively. The technology commercialization performance was measured as the number of technology transfer and spin-off. We conducted survey and 88 institutes responded. Empirical results show that R&D input influence R&D capabilities and R&D capabilities influence the output of technology transfer and commercialization. Collaboration activities and social capital also appear to have a positive effect on the output. However, the effect of strategy and support on the output appear to be not statistically significant.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.1-14
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• 2016

According to the growing importance of science and technology policy, investment in research and development (R&D) has been increased. In this context, a patent as one of outcome of firm's systematic R&D investment is the way to hold a dominant position in companies' technology competitiveness and also to protect technology right. This study attempts to find the effects of input resources and intellectual property production activity on company value. It conducted empirical analysis based on 238 KOSDAQ-listed and medium-sized firms. Using the previous research, this study configurated research variables about activity of patent production, company value, and input of resources. Through these variables, it aims to know the effect of input of resources and activity of patent production on company value. First, the result of regression analysis shows that R&D cost has the positive effect on a patent production and sales promotion cost positively affects on the registration of the trademark. Second, the output of regression analysis indicates that a patent has the positive effect on company value but a trademark has not. With regard to the input of resources, R&D cost has the influence on company value but sales promotion cost has not. This study attempts to find the effectiveness of company's intellectual property registration on its value and suggests a way that the systematic R&D investment contributes the growth of company value.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.194-203
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• 2008

Construction Research and Development (R & D) projects have been begun with the investment of 1.2 billions in 1994 and have been reached to 30 billions in 2004. During this ten-year period, a total of investment for construction R&D amounts to 125.7 billions (Total 418 construction R&D projects). However, the results of each R&D project could not apply to real construction site because each project has been performed by a small size (0.5 billions). In addition to those, the social interest on the construction R&D projects has not been received and those importance has not been recognized. Especially, there aren't still standardized methodologies or weighted measurement data for evaluating research performance of the construction R&D projects up to now. The construction R&D projects has been Invested on the basis of an annual technology demand survey rather than the research performance outcome. Therefore, it is important to establish a qualitative performance measurement model for evaluating construction R&D projects. This paper proposes a new research methodology for analyzing the performance measurement of the construction R&D projects. First of all, the Balanced Score Card (BSC) is used to evaluate the construction STAR technologies selected in this research. The performance items of BSC has been modified as four criteria such as "productivity, "knowledge accumulation," "training of students," and "welfare." The new research methodology developed in this paper is expected to use in establishing resonable construction R&D budget in the future.

• 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.

• Convergence Security Journal
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• v.16 no.2
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• pp.55-62
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• 2016

Recently, research outcome is frequently leaked in the process of progressing domestic R&D. Security system such as research security law and manual is implemented to prepare these leakage. However piecemeal solutions, simply technological measures, have a limit. Consequently, this study organizes a integrated research security framework by designing multidimensional security measures based on the R&D life cycle perspective. Concretely, this study constructs various control items predicated on law, moreover reviews the applicability of research security assessment items.