최근들어 환경변화가 가속화되고 기업의 환경적응성이 중요해짐에 따라 R&D 활동의 평가과정이 학습의 핵심적인 단계로서 새롭게 부각되고 있다. 또한 R&D 활동에서 결과 중심적 접근, 사업부와의 연계 등이 강조되면서 구체적 R&D 성과평가가 연구관리(R&D management)의 중요한 이슈가 되고있다. 그러나 그동안 R&D 성과평가는 R&D 활동 자체가 불확실성을 가지는 특성으로 인하여 체계적 접근이 이루어지지 못하여 왔으며 최근에 들어 R&D 성과평가 부문이 연구관리 및 기술경영분야의 도전적 연구과제가 되고 있다. 본 연구는 이러한 R&D 성과평가를 어떻게 접근할 것인지에 대한 접근방법과 성과 지표의 내용, 성과지표의 선택 및 개발절차, 향후 연구과제를 중심으로 제시한다. 본 연구의 세부내용은 다음과 같다. 첫째, 민간기업 연구개발활동의 성과평가에 적용가능한 평가의 분석틀(framework) 및 관점(perspective)을 제시하였다. 기존 평가모형에 대한 문헌고찰을 바탕으로 종합적, 체계적인 평가분석틀을 도출하고, 측정가능한 성과지표군을 제시하였다. 또한 성과지표들을 다양한 기준에 따라 분류하고 각 분류에 따라 적용가능한 성과지표군을 제시하였다. 둘째, 각 기업별 특성을 고려하고 경영전략과의 연계를 명확히 할 수 있는 구체적인 성과지표를 개발하기 위하여 4단계의 R&D 성과 평가지표 개발절차를 도출하였다. 셋째, 향후연구를 위한 성과평가 연구분야의 주요 연구과제들을 5가지로 정리하여 제시하였다.

Recently, the interdisciplinary linkage between engineering and social science has received an increasing attention as an emerging education discipline. Due to intrinsic complexity of innovation process and heterogeneity of disciplinary nature, however there exists little, if not no, effort to draw a common framework in terms of educational scope and contents of the new subject. This paper presents a number of criteria and guidelines for building up new educational framework by integrating engineering subject and social science subject. Specifically, three neo-disciplines, technology policy, technology management, and economics of technology are considered since it is postulated that the forementioned disciplines have established academic identity and fundamental structure By nature, this paper is an exploratory and seminal one. It is not the purpose of this paper to provide a concrete table of contents of educational material. Instead, it merely brings up a discussion topic for the wide audience of academic arena, leaving the gradual consensus and convergence as future task.

A nation's technology policy is based on the broad principles that govern the allocation of its technological resources. But the cost of inadequate investments in technology development is particularly high in today's global1y-competitive environment where continued technological advancements are critical to sustain. This paper presents a methodology for searching the new and /or advanced technologies to promote Korea's technological and economic competitiveness by industrial technology policy. The conceptual framework of industrial technology development, which is the main focus of this Paper, was designed using both Top-down and Bottom-up approach And the technology classification system was modified reviewing the previous it's system. Supporting the technology input are three key technology elements; proprietary technology, generic technology, infratechnology Competitive survival in any advanced economy will depend upon technology-based strategies that emphasize the integration of these elements of industrial technology.

This study empirically examined different patterns of collaborative R&D project with their key success factors(KSFs), using data from 80 projects in the Korean electronic parts industry The patterns in this study were categorized into 4 types by two criteria : product types(off-the-shelf/unique) and project initiator (focal/partner). The bivariate relationships revealed that project characteristics (technological complexity, demand certainty), partner characteristics(the number of partners, precious experience), process characteristics (participation in the project formulation, specificity of the collaboration process and outcomes) appear to be different among four types of collaboration. Furthermore, this study found that each type of collaborative R&D projects has different KSFs for their commercial success. The KSFs of type 1 (off-the-shelf product and focal organization initiation), for instance, include the strategic importance of the project, the problem solving performance of the focal organization while those of type 4(unique product and partner initiation) are technological complexity, demand certainty, reliability of partner relationship, specificity of the goals, specificity of the process and outcomes, information sharing. Finally, based on this empirical results, managerial, policy, and theoretical implications of the study were discussed.

This paper analyzes the characteristics of technological knowledge flow-structure of Korean manufacturing in dynamic perspective. In doing that, the concept of the knowledge network is introduced which is defined as a set of industries and their interaction(knowledge flow) or linkage. The analysis of the inter-industrial knowledge flows is based on the technological similarity by using R&D researchers'academic background in the year of 1984, 1987, 1990. The analysis is carried out by such methodology as network analysis, indicator analysis and simple statistical analysis. And the final results are drawn both in absolute terms(dimension effect) and in relative terms (proportion effect) respectively. The main findings are as follow. First, the Korean manufacturing knowledge network appears to strengthen existing inter-industrial knowledge linkages rather than to construct new linkages. Second, the network seems to form a dualistic structure in that some high-technology sectors (knowledge production sectors) emerge along with traditional sectors (knowledge absorbing sectors). Third, since the mid-1980s, an inter-industrial fusion is witnessed among technologically intensive sectors, indicating that some sophisticated innovation modes are emerging in Korean manufacturing system.

This paper deals with demand surveys for big science and technology research facilities and equipments to advance national S'||'&'||'T research infrastructure. We perform surveys thrice based on applied Delphi method on the future demand of big S'||'&'||'T research facilities and equipments among Korean scientists and engineers. We employ the concept of big S'||'&'||'T research facilities and equipments as follows: \circled1 The operating size of it is equivalent to that of an institute or research center, and/or \circled2 The users in various disciplines are many, and/or \circled3 The application areas or spill-over effects are large, and/or \circled4 The scale and scope of research objects is equivalent to that of mega science area such as earth.oceanography.space, and/or \circled5 The expenses for installing and operating it are to be supported by government, and/or \circled5 The facilities are expected as necessary for international joint research, and/or \circled7 It is necessary for promoting creative basic science and developing creative technology. We ask the respondents to answer the following questionnaire: - How to prioritize the equipments according to the degree of importance\ulcorner $\square$ Promotion of basic science and mega science, the development of the technologies to enhance the public welfare, the competitiveness of industrial technologies, the job creation for the S'||'&'||'T personnel, and international cooperation. - Who should be in charge of acquisition and operation of the equipments\ulcorner $\square$ Industry, Government Research Institutes, Academy, ERC and SRC. - When shall we acquire the equipment\ulcorner $\square$ Within 2000, 2002, 2007, 2012, and 2017. - How shall we acquire the equipments\ulcorner $\square$ International Joint Development, Domestic Development, Acquisition from Overseas, - How much will the equipment generate spill-over effects to national competitiveness\ulcorner $\square$ Promotion of basic science, contribution to the economy, supply of S'||'&'||'T personnel, and international cooperation. We suggest the following equipments as prioritized candidates after consulting the officers from MOST, MOE, MIC, MOEN and experts from KBSI and STEPI:(table omitted) where, #1, Korea Advanced Liquid Metal Reactor, #2. 800 MHz Superconduction Fourier-Transform Nuclear Magnetic Resonance Spectrometer, #3. Ion Accelerator, #4. Seismic Test Facility, #5. Transonic Wind Tunnel, #6. Radio Telescope for Very Long Baseline Interferometer, #7. 3000t Universal(or Large Structure) Testing Machine, #8. Compost Facility or Plasma Pyrolysis Facility.

The engineering industry plays an important role for national competitive, since it has an high impact on other industries. With its importance, the engineering industry development largely depends on its technical manpower ather than capital factor. This study aims at estimating the additional requirement on technical manpower based on the forecasted market size which represents the structure change corresponding to economic growth in related industry. Research scope includes the twelve of fifteen field except three with insufficient historical data and technical manpower above bachelor degree. Specialty, we forecast market size with determinants resulted from historical data analysis on each field. The demand on technical manpower is derived from the forecasted market. We also estimate an additional requirement with the supply analysis. The research results show different patterns over time period. The relative ratio on chemical and construction to total market will steadily grow over short term, while applied, environment, electronic and information will rapidly grow This pattern will be stabilized over mid or long term. The additional requirement on technical manpower represents the similar pattern to market growth. The research result implies manpower policy for having high inflow of technical engineer from educational institute and the related industries through the image improvement.

This study aims to evaluate and identify the Patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexes were used. it was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five typers was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.