• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.231-251
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• 2010

The numbers of SCI paper or patent in science and technology are expected to be related with the number of researcher and knowledge stock (R&D stock, paper stock, patent stock). The results of the regression model showed that severe multicollinearity existed and errors were made in the estimation and testing of regression coefficients. To solve the problem of multicollinearity and estimate the effect of the independent variable properly, principal component regression model were applied for three cases with S&T knowledge production. The estimated principal component regression function was transformed into original independent variables to interpret properly its effect. The analysis indicated that the principal component regression model was useful to estimate the effect of the highly correlate production factors and showed that the number of researcher, R&D stock, paper or patent stock had all positive effect on the production of paper or patent.

• Journal of Technology Innovation
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• v.2 no.1
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• pp.191-218
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• 1994

This paper aims to find out the R&D personnel management strategies which enhance the productivity of researchers. The R&D personnel management practices are examined focusing on career development and compensation scheme. As proxies for higher motivation and/or productivity, job satisfaction and propensity to leave of researchers are analyzed to evaluate the management practices. Using the survey data from researchers in the Korean automobile industry. this paper suggests the management strategies to raise job satisfaction and thus lower propensity to leave of R&D personnel.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.11
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• pp.1625-1632
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• 2013

R&D productivity(P) and qualification(Q) for 16 regions in Korea were measured using all scientific output (articles) from several kinds of specific R&D program under the 3rd regional science and technology promotion policy(2008-2012). R&D capabilities of 16 regions were evaluated from Q-P position analysis and also compared between these regions for the purpose of examining their R&D capability status. Especially, R&D topographical map was created using the output of research and development over 5 years for investigating GyeongNam district's activities in science and technology and also analyzing co-relationship between basic research areas (or fields) and specialized strategic industrial sectors of GyeongNam district. As results of this study, 20 future-oriented research fields were suggested from this topographical map, which reflected internal R&D potentials and industrial infrastructure of GyeongNam district.

• Journal of Korea Technology Innovation Society
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• v.6 no.2
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• pp.203-212
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• 2003

본 논문은 연구개발 및 정보통신스톡의 투입이 국내 산업의 생산성을 단순히 양적인 측면에서 증가를 유도하였는지 아니면 총요소생산성의의 증가를 통한 질적인 향상을 유도하였는지의 차이를 성장회계분석과 시계열분석을 통하여 차이를 규명하고 있다. 양적인 측면에서 투입요소들에 대한 영향정도는 유효하게 나타나고 있는 반면, 질적인 측면에서의 투입요소들의 유효성은 모호한 결과를 보이고 있다.

• 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 the Economic Geographical Society of Korea
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• v.13 no.3
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• pp.297-311
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• 2010

The purpose of this study is to analyze the causality among GRDP, patent, investment of R &D, and researcher among 16 Metropolitan cities and provinces in Korea. Using the annual data ranged from 1998 to 2008, the causality test for time-series data such as unit roots test and Granger causality test were performed. We estimate the Panel-Var of the four variables to find out the various Granger causal relations for two groups which are classified by the patent productivity. The panel data causality results reveal that there are bidirectional causality relations among four variables for the more patent-productivity group. The patent has bi-directional effects on GRDP and R&D. The patent cause GRDP and vice versa, patent cause R&D and vice versa. Patent not only has strong direct impact on GRDP and R&D but also has affected by the increase of GRDP and R&D through the interactive feedback mechanism. However, the causality patterns are somewhat different between the more patent-productive region and the less patent-productive region. There exists one directional causality between the R&D and GRDP for the less patent-productivity group. Such result may imply that the type of regional innovation policy should be differentiated between two groups. Regional economic policy efforts should be placed on increasing the knowledge productivity and on strengthening the regional competitiveness through the regional innovative infrastructure.

• Information and Communications Magazine
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• v.31 no.1
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• pp.45-47
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• 2013

정보통신기술의 발달로 생산의 자동화와 로봇화를 통해 생산성이 증가하고, 소비자 환경과 시장의 글로벌화는 소비환경과 유통구조의 변화를 가져오고 있다. 본고에서는 빠르게 발전하면서 변화해가는 디지털미디어 기술과 디지털콘텐츠 산업 현황에 대해서 살펴보고 이를 바탕으로 한 디지털콘텐츠 R&D 추진방향에 대해서 알아보도록 한다.

• Electronics and Telecommunications Trends
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• v.22 no.4 s.106
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• pp.183-191
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• 2007

본 연구에서는 최근에 빠르게 성장하고 있는 R&D 관련 산업의 국민경제적 위치와 타산업과의 연관관계를 파악함으로써, R&D 관련 산업의 중요성과 앞으로의 방향을 제시하기 위하여 최근 한국은행에서 발행한 2000년도와 2003년도의 산업연관분석자료를 이용하여, R&D 관련 산업구조와 정보통신산업과의 연관관계를 파악하였다. 연구결과 2000년도에 비하여 2003년도의 산업연관분석에 따를 경우에 R&D 관련 산업의 생산활동 증가는 정보통신산업의 생산 및 부가가치활동에 보다 낮은 영향을 미치는 것으로 나타났으며, 이는 정보통신산업에 대한 R&D 관련 산업의 영향력이 약간 낮아지는 산업구조를 보여주기 때문에 정보통신산업 안에서 R&D 정책과 정보통신산업 밖에서 실시하는 R&D 정책에 대한 고려 및 효과측정이 동시에 이루어져야 할 필요성을 제시하는 것으로, 보다 국가 전체적이고 체계적인 R&D 정책적 고려가 필요함을 보여 주었다.

• 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 of Industrial and Systems Engineering
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• v.20 no.41
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• pp.33-40
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• 1997

The main objective of this study is to analysis the relationship between productivity measurement model which describe and explain R&D(Research & Development) productivity based on production function of Cobb-Douglas and the structure of the R&D investment. The model focuses on the variables related to R&D investment in order to measure the efficiency of R&D largely. So, the proposed model describe the relationship between output(or / input) and factors of production such as capital cost, labor cost and R&D expense, etc. These factors are associated with a signigicant positive correlation between productivity and R&D investment.