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국가 성과 예측을 위한 연구실 단위 R&D 지식재산관리지표 개발 및 점수산정체계 연구
손소영,구민정,윤권순 한국경영과학회 2008 한국경영과학회 학술대회논문집 Vol.2008 No.5
In the 21st Century Knowledge-Based Society, the Intellectual Property (IP) became one of critical tools for economic improvement and efficient management of IP becomes more important area. The IP created via national R&D, and the economic value of IP can vary according to knowledge management at R&D processes. Specially, the first on-scene laboratory in which knowledge is created is closely connected to the invention of IP and a level of quality, but importance of IP management at laboratory level has been overlooked. The main purpose of this study is to develop individual IP management indices that can capture various aspects of status of IP management at the level of laboratory. Additionally, we propose a composite IP management index which can forecast the expected research outcome score at laboratory. This study is expected to contribute to enhancement of IP management of national R&D by providing effective IP management strategies for individual laboratory.
국가 성과 예측을 위한 연구실 단위 R&D 지식재산관리지표 개발 및 점수산정체계 연구
손소영,구민정,윤권순 대한산업공학회 2008 대한산업공학회 춘계학술대회논문집 Vol.2008 No.5
In the 21st Century Knowledge-Based Society, the Intellectual Property (IP) became one of critical tools for economic improvement and efficient management of IP becomes more important area. The IP created via national R&D, and the economic value of IP can vary according to knowledge management at R&D processes. Specially, the first on-scene laboratory in which knowledge is created is closely connected to the invention of IP and a level of quality, but importance of IP management at laboratory level has been overlooked. The main purpose of this study is to develop individual IP management indices that can capture various aspects of status of IP management at the level of laboratory. Additionally, we propose a composite IP management index which can forecast the expected research outcome score at laboratory. This study is expected to contribute to enhancement of IP management of national R&D by providing effective IP management strategies for individual laboratory.
손소영,최홍,Son, So-Yeong,Choi, Hong 대한교통학회 1999 大韓交通學會誌 Vol.17 No.3
도로교통사고의 관리는 경찰서의 주요한 업무중의 하나이다. 이를 위해 각 관할경찰서는 교통사고발생 시 사고기록을 하며 기록된 자료는 통계적 분석의 근거로 사용되게 된다. 대부분의 사고통계분석 결과는 거시적인 수준에서의 효율적인 교통관리계획과 교통안전정책을 확립하는데 적용되어 왔다. 본 연구에서는 각 관할경찰서가 지역적 특성에 따른 구체적인 교통사고 예방정책을 시행할 수 있도록 품질기능전개(QFD)를 적용하였다. 사고다발지점을 찾기 위해 군집분석을 사용하였으며, QFD의 입력자료로 사용하기 위하여 각 관할지역별로 다양한 형태의 도로교통사고를 위한 포아손 회귀분석을 하였다. 본 연구의 결과는 지역마다 특징적으로 발생하는 다양한 형태의 도로교통사고 감소에 기여할 것으로 기대된다. One of the major tasks of a Police station is the management of road traffic accidents. Each police station is responsible for keeping Traffic Accident Records (TAR) which can be used as the basis of statistical analyses. Results of such statistical analyses have been applied to establishing effective traffic Plans and safety Policies at the macro level. In this Paper, we apply QFD in a way that each police station can set and implement specific policies according to the local characteristics. Cluster analysis is employed to find black spots in each local area. Poisson repression is used to identify the area specific factors related to various types of road accidents. Results of such statistical analyses are applied to QFD. Our approach is expected to contribute to reduce various types of area specific road traffic accidents.
경찰서별 도로교통사고 관리를 위한 품질기능전개(QFD)의 적용
손소영,최홍 한국경영과학회 1998 한국경영과학회 학술대회논문집 Vol.- No.1
One of the major tasks of a police station is the management of road traffic accidents. Each police station is responsible for keeping Traffic Accident Records (TAR) which can be used as the basis of statistical analyses. Results of such statistical analyses have been applied to establishing effective traffic plans and safety policies at the macro level. In this paper, we apply QFD in a way that each police station can set and implement specific policies according to the local characteristics. Cluster analysis is employed to find accident-prone spots in each local area. Poisson regression is used to identify the area specific factors related to various types of road accidents. Results of such statistical analyses are applied to QFD. Our approach is expected to contribute to reduce various types of area specific road traffic accidents.