This paper examines theoretical trends and policy issues concerning science and public. The dominant perspective about it was changed from “popularization of science” to “public understanding of science (PUS)”. PUS pays attention to active roles of public in the understanding of science based on the contextual model. And recently various concepts are attempted to complement PUS such as “heterogeneous PUS”, “quantitative PUS”, “public understanding of research”, and “public participation in science”. PUS related activities in Korea can be analyzed using the concept of “science and technology culture system”. The characteristics of science and technology culture system in Korea can be summarized as follows: Its purpose is confined to support existing national innovation system; Its constituents have been unevenly and separately developed; Its material and institutional infrastructure is not sufficiently prepared; Its organizing mechanism is strongly influenced by government's execution power.

This study reviews the emerging new model of science and technology decision making process. It examines the open source software development model and community-based innovation model in technological innovation and the active participation model of Consensus Conference and Citizen's Jury in science and technology policy decision making. It argues that the role and influence of users in innovation and policy making is becoming important in these emerging models and the existing supplier-led, bureaucratic model of science and technology decision making model is changing.

This paper deals with the methods for selecting the key research areas, which fit for the large, multi-disciplinary, and long-term programs by making use of Technology Cluster Analysis. This method is applied to mano-technology field at the level of national R&D program. 56 nano-technologies are analyzed and grouped into three main clusters based on the survey data from 180 experts. Three main clusters are \circled1 naro-materials related cluster, \circled2 naro-device related cluster, and \circled3 naro-bio related cluster. These three clusters are coincided with the focused areas of nano-technology in Korea. Each cluster is analyzed in view of its competence position.

The objective of this study is to examine the existence of technology gap convergence between manufacturing sector and Grand Total over 1970 to 2000 under nonlinearity relationship in Korea. We use the concept of technology convergence as the stationarity test of technology gap over the relevant periods. Our empirical results provide two important implications for the future study: First, our empirical results strongly support the nonlinearity for technology convergence in our country and an empirical tests based on the assumption of linearity will be biased and wrong industry and economic policy implications. Second, we find two regimes i.e. technology convergence and technology divergence between manufacture sector and Grand Total in our country over 1970 to 2000. These study results imply that the relevant industry and economic policies for technology and R&D implementations be with a causation.

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.

초고속 인터넷 서비스는 사용자수의 증가와 더불어 고객의 다양한 욕구 즉 인터넷 방송, 주문형비디오(VOD)서비스, 원격교육, 고화질 TV 등 대용량의 멀티미디어 서비스에 대한 욕구가 폭발적으로 증가하고 있다. 이러한 욕구를 충족하기 위해서는 현재의 초고속 인터넷서비스로서는 속도에 대한 한계에 부딪치게 되어 통신사업자들은 새로운 기술 또는 여러 가지 기술적 대안들을 추구하고 있다. 2002년부터 시작하여 2003년 이후에는 멀티미디어 수요의 증가에 따라 ADSL을 대체하는 기술로 VDSL이 등장하여 매년 꾸준한 신규가입자 수요가 발생하고 있으나, 통신사업자들은 각각의 망 특성, 시장위치, 전략적 필요성 둥에 의해 상용화를 적극 검토,추진하고 있으나 각각 전개하는 방식은 조금씩 다르다. 따라서 본 연구에서는 통신사업자들의 가입자망 진화 전략에 대해 살펴 본 다음 Lot3n-Volterra Competition (LVC) 모델을 이용 ADSL 과 VDSL 두 기술간의 상호 경쟁 및 대체를 통해 어떻게 진화 되어가는지를 살펴보았다. 대표적인 통신사업자인 KT는 막강한 자금력을 바탕으로 시장 확대 및 경쟁사와의 차별화를 위해 VDSL 서비스 조기도입을 서두르고 있고, 하나로는 자금의 열세로 인한 ADSL 투자비를 회수 할때까지 VDSL 서비스를 연기하고 있는 실정이다. ADSL과 VDSL 두 기술의 관계는 Lotka-Volterra Competition (LVC) 모델을 이용한 시뮬레이션 결과를 통해 빠른 속도와 비슷한 가격대의 VDSL이 침략자(predator)로 기존 시장 지배자인 ADSL을 사냥감(prey)으로 빠른 속도로 대체해 나가는 것을 알 수 있었다.

This research has been focused upon and analyzing Medison, once a leading New Technology-Based Finn (N1BF) in Korea with exceptionally advanced technology in 3D ultrasound diagnostic imaging devices (UDIDs) (armored with 23 subsidiaries at its peak expansion), from the perspective of Dynamic Finn Capability(DFC). The underlying hypothesis is that the various problems from its pointless pursuit of the business styles or precedents of the existing large firms might be traced to its specific characteristics as an NTBF, which should have more preferably been based upon the distinctive competences such as differentiated technologies, institutional linkages, organizational routines, and complementary assets, etc. In conclusion, for the NTBFs with different DFC domains from those of the large firms, the optimal external linkages and comprehensive integration efforts (Process) under their specific organizational characteristics and constraints (path) are highly recommended for the continuous accumulation of their core capabilities based upon the technological assets (Position).

철강산업은 자동차용 강판 공급체인의 총체적 측면에서 볼 때 자동차산업의 핵심 공급자로서 중요한 역할을 수행하고 있다. 1990년대 초반 이후 자동차용 바디 제조공정에 테일러 웰디드 브랭크, 하이드로포밍 등 첨단금속소재 가공기술이 다양한 부위에 널리 적용되고 있다. 한편 자동차업계 및 철강업계는 설비 공급과잉에 따른 치열한 생존경쟁이 전개되는 가운데 이들 업계를 둘러싼 경영환경이 급속히 변화하고 있다. 본 연구에서는 기술혁신 및 경영 환경변화가 급속하게 전개되는 글로벌 마켓에서 자동차 바디용 강판 공급체인 상의 철강업체 역할 변화를 고려하고자 한다. 철강산업은 완성차업체 및 자동차 최종고객을 만족시키기 위한 원가절감 전략을 구현하는 동시에 소재 프로세싱 분야에 대한 기술역량을 축적하여야 한다. 이것이 현재 경쟁업체, 신규진입업체 및 대체 소재산업들과의 경쟁환경에서의 철강업체의 성공전략이다.

The various technologies of the science and technology field were systematized to manage information, personnel and R&D activities related to S&T effectively. The resulting “National Standard Science and Technology Classification” which were composed of 19 areas, 160 divisions and 1,023 categories could contribute to establish rational S&T policy. “National Standard Science and Technology Classification” is synthetic in national level because they include all areas of S&T activities. 5 criteria, which were inclusiveness, exclusiveness, likeness, scale and universality, were used to exert every effort in including the opinion of all experts and to consider harmony between S&T areas. In addition, “National Standard Science and Technology Classification” was prepared to be interchangeable with various classification which were used in other R&D management institutes under the different ministries.