• KOREAN POULTRY JOURNAL
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• v.52 no.3
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• pp.156-158
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• 2020

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1313-1344
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• 2018

This study aims at investigating the effects of Government R&D subsidies. We analyse the effects of inputs and behavioral additionality on the output additionality. We also measure the moderate effects of the experiences of benefiting from government R&D on the relationship between inputs and behavioral additionality and the output additionality. We conducted a structured questionnaire on the companies who have participated in promotion program of the Korea Innovation Cluster. 126 responses were collected and alnalysed using the OLS technique. Empirical results show that the relationship between input/behavioral additionality (management, follow-up, cognitive capacity) and output additionality had positive effect. The moderating effects of experiences of R&D subsidy on the relationship between input additionality and output additionality and the relationship between cognitive additionality and the output additionality appear to be statistically significant.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.397-398
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• 2014

연구기획 단계부터 사업화에 대한 고려를 위해서 기존의 연구 성과에 대한 조사 분석을 포함하는 해당 연구 주제에 대하여 기술동향, 시장분석, 정책 등 다양한 정보를 종합적이고 전략적으로 활용할 수 있는 정보 서비스 환경에 대한 필요가 급증하고 있으며, 국가연구 생산성 제고를 위해 후속심화 연구를 위한 연구 성과의 효율적인 공유 및 재사용을 지원하는 표준화 기반의 정보공유인프라 구축 및 운영이 필요하다. 이를 위해 국가R&D정보와 NDSL 정보를 연계하고, 이를 활용하여 연구자의 R&D활동관련 문제해결을 지원하는 서비스 체계를 구축할 필요가 있다. 이를 위해, NDSL-NTIS 연계 및 융 복합 서비스를 개발하고 이를 뒷받침하기 위해 연계체계 구축, 분석기반 개선, 개념기반 체계 구축, 연계활용을 지원하는 메타데이터 관리기능 개선을 수행하는 것을 목표로 국가R&D정보 네비게이션 서비스를 개발하였다.

• Journal of Information Technology Application
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• v.3 no.2
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• pp.1-24
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• 2001

This purpose of this study is to drive important criteria for improving customer relationship of R institute using data mining techniques. The focus of this research is to consider patterns and interactions of research variables from research management database of R institute, and to classify the outside organizations and the inside organizations for research contract organizations, and to decide the directions of customer relationship management through analyzing the research type and research cost of research topics. In order to drive criteria variables through pattern analysis of the research database, decision tree algorithm is employed. The results show that determinant variables of 17 input variables are research period, overhead cost, R ＆ D cost as variables to classify the outside and inside contract organization.

• The Korean Journal of Financial Management
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• v.21 no.1
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• pp.87-124
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• 2004

Some studies indicate that investors systematically underreact to new information in the stock market and Other studies indicate that investors systematically overreact. If investors irrationally react to the R&D intensity information, The portfolio strategy based on the R&D intensity information will be provided substantial excess returns. This study investigate that investors systematically underreact or overreact to the R&D intensity and whether portfolio strategy based on the R&D intensity is useful or not. Major results we as follows. First, This study indicate that investor systematically underreact to high R&D intensity and overreact low R&D intensity information. Second, after controlling the firm's specific factor such as firm size, BV/MV and past price performance, it is found that the performance of portfolio strategy based on the R&D intensity is not significant.

• Journal of Korea Technology Innovation Society
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• v.9 no.2
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• pp.199-235
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• 2006

Research interest in TQM has recently begun extending beyond manufacturing to moreinnovative R&D activities. Despite numerous studies of the relationship between TQM and organizational performance, little are known about the relationship between TQM and R&D performance. This is especially true for manufacturing-based R&D performance. The objective of this study is to examine the relationship between TQM and R&D, and also explore several contingencies that moderate the relationship. The study uses data from 133 R&D divisions of Korean manufacturing firms to test hypotheses regarding the relation of TQM with R&D. TQM measures are aligned with the six criteria of Malcolm Baldrige National Quality Award, and the R&D performance measures consist of incremental and innovative R&D aspects. The findings from structural equation modeling show that TQM practices contribute to R&D performance significantly in aggregate, and their specific contributions vary according to the contingencies, which provide further understanding of the relationship between TQM and R&D in the manufacturing sector. Therefore, the results could offer firms a better strategy for their R&D management. This study is, however, exploratory in nature; the conclusion is tentative and may thus be different in other research settings.

• Food Science and Industry
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• v.53 no.3
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• pp.307-315
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• 2020

The food R&D operating system needs to be changed according to the changes in the food industry as well as the domestic and overseas environments. In this aspect, a future-oriented food R&D operating strategy linked with the governmental policy are proposed to foster the promising food industry. The strategic R&D approaches are summarized on the basis of global mega-trends and food industry trend analysis, and current R&D status and issues are also reviewed to set the R&D operating direction for future food industry. To advance the R&D operating system of the food industry, some practical suggestions are given as follows: strengthening the research planning system for efficient R&D program operation, enhancing the role assignment and collaboration among the R&D organizations, reinforcing the support system tailored to industrial sites and securing the future technology bases as well as resolving present issues, and linking R&D programs with policies and improving the food R&D management system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.71-80
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• 2014

Standard Industrial classification is a key factor of technology spillover effect. It is the result of the empirical study that is the IC(industrial classification) which influences the technology spillover effect by way of interaction term, or moderating effect combing independent variables and moderators. As relatively high technology industry is more important than the low counterpart in R&D management system. And the result of the study says that Government should support SME's considering the IC moderating effect and different subsidies which is appropriated to the SME's IC(industrial classification). This way of Government subsidy will improve the efficiency of industrial policy effect of SME's.

• Journal of Information Management
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• v.36 no.4
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• pp.155-174
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• 2005

Recently, under the pressure of national necessity, the national S&T information system(NTIS) for collecting, managing and distributing various R&D information is under discussion. The close inter-connections and cooperations among elements in R&D process, activity, information and data levels are the basis of national S&T information system. In this paper, we propose a cross reference model of R&D information. The proposed model includes research project, person and output information which are essential in the R&D activities. By using the proposed model, a cross navigating and referencing among R&D information is possible. And various queries on the models from various viewpoints are also possible. XML Topic Map, ISO13250 Standard, is used for development of the proposed model. The efficiencies and further practical usages of proposed model are discussed by demonstrating the proposed model with an example.

• Journal of the Society of Disaster Information
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• v.10 no.2
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• pp.208-218
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• 2014

The growth of disaster/accident damage costs and related industries has increased the necessity of scientific and objective performance analysis for fire suppression and disaster management R&D projects. Most of R&D performance are both academic and public performance according to fire suppression and disaster management R&D projects during the period of 2004 to 2011. This research identified characteristics of performance types by research project teams and research development stages. The research outcome shows the usefulness of relevant performance objective settings by project teams, the evaluation of scientific technology fields, and proper research teams in research team selection process, considering research outcome characteristics by both research teams and research development stages. In addition, this research reveals the applicability of research outcomes to research performance management. This research suggests further studies for evaluation process and methods for including fire suppression and disaster management characteristics to the evaluation process.