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박은영(Eun-young Park),윤혜선(Hye-sun Yoon),김태영(Tae-young Kim),오동률(Dong-ryul Oh),조근태(Keun-tae Jo) 한국기술혁신학회 2016 기술혁신학회지 Vol.19 No.2
기업들의 경쟁 환경이 세계시장으로 급속히 확대되고 있다. 이에 글로벌 자동차 기업을 대상으로 한 실증분석을 통해, 기업들의 국제적인 기술수준을 비교할 수 있는 특허포트폴리오 분석 방법을 제시하고자 하였다. 1991년부터 2010년까지 20년간의 삼극특허를 이용하여 국제적 수준의 특허활동을 측정하였으며, 권리적, 기술적, 경제적 측면에서 특허품질을 측정하였다. 그 결과, 미국의 자동차기업인 Ford와 GM은 특허품질이 우수하고, 특허품질의 변화도 크게 증가한 잠재적 리더로 분석되었다. 본 연구는 삼극특허를 기준으로 국적이 다른 글로벌 기업들 간의 국제적인 특허활동을 측정하고, 권리적, 기술적, 경제적 측면에서의 종합적인 특허품질을 삼극특허에 기반하여 일관성 있게 분석하는 방법을 제시한 점에서 연구의 의의가 있다. The competition environment among companies is rapidly expanding into the world market. Therefore, this study intended to suggest an analysis method of patent portfolio that can compare an international technological capacity through empirical analysis on the global automobile companies. This study measured international patent activity using triadic patent data of 20 years from 1991 to 2010, and measured patent quality from legal, technological and economic aspects. As a result, Ford and GM, automobile companies of America, are analyzed to be the potential leaders with greatly increased patent quality. The significance of this study is in measuring international patent activities between global companies from different countries based on the triadic patent. And, this study suggested methods of analyzing patent quality consistently from legal, technological and economic aspects based on the triadic patent.
조근태,김성조,김성민,김용우,김성재,조용곤 한국경영과학회 2004 經營 科學 Vol.21 No.2
The imports of used medical equipment such as CT, MRI have been rapidly increased every year. How to manage those medical equipment has been one of critical issues in the government sector. In this study, we demonstrate how benefit/cost analysis using the Analytic Hierarchy Process (AHP) can be applied to the comparison of used CT/MRI and new CT/MRI. The final results show that the new CT/MRI is more attractive than the used CT/MRI.
Development of a New Cross Impact Method Considered Influences of Time on Interdependent R&D events
Jo, Keun Tae,Kwon, Cheol Shin 한국경영과학회 1995 한국경영과학회 학술대회논문집 Vol.- No.1(1)
The objective of this research is to develop a model which estimates 「time influence」, the influence on the completion time of R&D events as the interdependency between the events are considered. However, most of the existing technological forecasting models, which estimates the R&D events completion time, are simple models that do not support the analysis of cross impacts between the events. the Gordon Model developed to solve this problem was also to forecast the final completion probability by way of determining randomly the occurrence order of events regardless of time interval between completion time of them. Therefore, research question in this paper is to differently apply the degree of cross impact according to time interval between the completion time of interdependent events. To attain the stated research objective, a simulation method with 3 steps was developed and applied as follows; First of all, we determined the initial completion times by way of estimating the distribution functions of the initial completion times of the individual R&D events which is based on the three point estimation by experts and then of taking the inverse transformation of the distribution functions, and finally determined the conditional completion times by using the 「bisection method」. Here, the parameters which can indicate the degree of cross impact according to the correlation of R&D events was designed in terms of technological seeds and social needs. Major contributions of this research can be summarized as follows: The time influence estimation model, which reflects the variable nature of the magnitude of cross-impacts that are dependent on the completion time of the R&D events, improved the precision level of the forecasting results. Especially, it is significant that the forecasting method presented in this paper differs from existing one and provides a closer control on the forecasting process. And It is also easy to use since we employed computer simulation as part of the forecasting process design.