• Ocean and Polar Research
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• 제40권3호
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• pp.177-190
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• 2018

This study seeks to analyze trends in Korean government support for marine biotechnology R&D investment. The quantitative analysis proposed in this paper provides useful data to inform government policy making decisions in relation to R&D investment in the marine biotechnology. Data used in this study is from NTIS (National Science & Technology Information Service) DB. Empirical results indicate that national R&D investment in the area of marine biotechnology has recently been increased in terms of the number of R&D programs and the amount of R&D investment. The results also show that the R&D programs in the area of marine biotechnology involve various Ministries of the government of Korea, although the Ministry of Oceans and Fisheries (MOF) performed a key role in the R&D investment in the marine biotechnology. Finally, the results of social network analysis in this study reveals that most of the R&D programs in the area of marine biotechnology seeks the development of new materials using unique features of marine bioresources.

• 경영과학
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• 제16권1호
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• pp.63-74
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• 1999

This paper presents a R&D investment model for the Information and telecommunications(l&T) technology using multiple objective linear programming(MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. It yields a suitable R&D investment ratio to each technology field. Its application to the National R&D Project in l&t Industry is also presented. In this application, the Analytic Hierarchy Process(AHP) is proposed to estimate the weights, which used as the coefficients in each objective function of the MOLP model. Then the problem is solved using the interactive method STEM. It is showed that with the aid of STEM, the MOLP model can be useful decision aid in formulation R&D investment plan in l&t industry. It is expected that the MOLP model works as the basis for planning R&D investment strategy in l&T industry.

• 기술혁신학회지
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• 제14권2호
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• pp.279-300
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• 2011

신성장동력으로 활용영역이 확대되고 있는 바이오분야에 대한 관심의 급증으로 최근 관련 투자 및 참여 부처가 확대되는 추세이다. 2008년 기준 국가연구개발사업에서 바이오분야 투자는 미래유망기술(6T) 중 IT에 버금가는 많은 투자가 이뤄졌으며 6개 부처 및 관련 청 출연기관 등에서 다양한 사업들을 수행하고 있다. 삶의 질, 고령화 및 환경 에너지 등 글로벌 이슈와 연관되는 바이오분야에 대한 국가연구개발사업의 포트폴리오 분석 및 포지셔닝 분석을 통해 바이오분야 투자현황을 검토 한 후 향후 바이오분야의 특성이 반영된 국가연구개발사업의 효율적 추진을 위한 투자 전략 및 방향을 제안하고자 한다.

• 기술혁신연구
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• 제15권2호
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• pp.1-24
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• 2007

In this study, we estimated a CES production function for the Korean economy. We have found in the empirical results that the elasticity of the factor substitution is less than one and that the Korean economy exhibits labor-saving technological progress. In addition, we obtained the regression coefficient of R&D investment on technological change, i.e., the elasticity of R&D investment with respect to the technological change was 0.26% point. It implies that if R&D stock increases by 1%, labor efficiency increases 0.26% point through technological progress which is Hicksian non-neutral. It confirms that innovation-based growth strategy by increasing R&D investment would be effective on the one hand. Some policy consideration on the other might be needed for an increase in employment which is offset by technological progress.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.343-344
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• 2023

In order to expand its entry into not only the domestic construction market but also overseas global markets, it is necessary to secure technological competitiveness, and as a fundamental measure, it is necessary to increase the proportion of R&D investment and establish and revitalize R&D organizations. Therefore, the purpose of this study is to analyze construction sales and construction R&D investment for global construction companies in Korea and Japan, derive implications, and provide basic data for government policy establishment and global construction company strategy establishment. As a result of analyzing R&D investments in construction companies in Korea and Japan, it can be seen that Japanese construction companies have higher R&D investment costs compared to sales compared to Korea. In particular, the proportion of R&D investment continues to increase year-on-year, strengthening global competitiveness due to technology development. In addition, Japanese construction companies have established a technology research institute to discover and conduct future R&D research such as advanced IT, disaster prevention, and environment.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2017년도 추계학술대회 논문집
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• pp.129-129
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• 2017

In planning and evaluating government R&D programs, one of the first steps is to understand the government's current R&D investment portfolio - which fields or topics the government is now investing in in R&D. Analysis methods of an investment portfolio of government R&D tend traditionally to rely on keyword searches or ad-hoc two-dimensional classifications. The main drawback of these approaches is their limited ability to account for the characteristics of the whole government investment in R&D and the role of individual R&D program in it, which tends to depend on the relationship with other programs. This paper suggests a new method for mapping and analyzing government investment in R&D using a combination of methods from natural language processing (NLP) and network analysis. The NLP enables us to build a network of government R&D programs whose links are defined as similarity in R&D topics. Then methods from network analysis show the characteristics of government investment in R&D, including major investment fields, unexplored topics, and key R&D programs which play a role like a hub or a bridge in the network of R&D programs, which are difficult to be identified by conventional methods. These insights can be utilized in planning a new R&D program, in reviewing its proposal, or in evaluating the performance of R&D programs. The utilized (filtered) Korean text corpus consists of hundreds of R&D program descriptions in the budget requests for fiscal year 2017 submitted by government departments to the Korean Ministry of Strategy and Finance.

• 무역학회지
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• 제44권1호
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• pp.87-99
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• 2019

Recently there are sharp increase in number of studies related with facilitation of Inward-FDI or Multinational Enterprises invested in Korea region. The most of studies are mainly purposing to survey - 1)how Korea Government makes counter plan and assistance policy to make foreign capital and Inward-FDI more attractively and aggressively, 2)what is the new framework or system for Inward-FDI policy, 3)what is economic effect of Inward-FDI, 4)what are determinants or conclusive factors of FDI in Korea. Under this situation, the goal of this report is to find out the new way for Multinational Enterprises to reinvest continuously thru getting their better investment performances on several factors including Marketing Competence, Management Ability, Localization Management Skill, Business Management Strategy, and R&D Competitiveness which would be much more important determinants influencing re-investment of Multinational Enterprises in Kora. This report based on the empirical result and comprehensive analysis will eventually help policy makers to implement the appropriate strategy and support Multinational Enterprises to proceed positive circle's re-investment activity in the end.

• 산업경영시스템학회지
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• 제41권4호
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• pp.101-110
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• 2018

This study aims to objectively measure the efficiency of nanotechnology R&D programs by systematically evaluating the inputs and outputs of nanotechnology R&D activities and to find implications for improving the efficiency of nanotechnology R&D programs. Data on input factors such as R&D investment, R&D manpower, R&D period, and output factors such as paper, patent, and commercialization for R&D projects which started from 2008 or afterwards and ended by 2011 are gathered through National Science and Technology Knowledge Information Service, which are used for efficiency evaluation. In this study, we analyzed R&D efficiency in detailed technology units in depth. The process taken in this study is as follows. First, the basic statistics of input and output factors to compare and analyze R&D investment, R&D manpower, R&D period, paper, patent, and commercialization status by technology unit are analyzed. Next, DEA models are utilized to derive the overall efficiency, pure technology efficiency, and scale efficiency by conducting the efficiency evaluation for each technology unit, from which implications for strategic budget allocation are derived. In addition, partial efficiency evaluation is conducted to identify advantages and disadvantages of each technology unit. In turn, cluster analysis is performed to identify similar technology units, from which implications for efficiency improvement are derived.

• 한국IT서비스학회지
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• 제12권2호
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• pp.373-386
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• 2013

The purpose of this research is to develop a model for efficient service R&D investment in government budgeting process. It is necessary to develop an efficient and effective investment model to improve competitiveness of the service industry and national economy. Various existing types of service R&D classification have been reviewed. And object-oriented service R&D request classification types have been derived. A tentative model for evaluating service R&D requests have been developed through extensive discussions on effective methodologies. The model has been refined and revised by four service budgeting experts. The revised and refined checklists and guidelines have been used for 40 real service R&D requests evaluations. As a result, a full model for service R&D evaluation and budgeting has been proved to be useful. Also, a need for more efficient and concise evaluation model has been raised through this evaluation process. A brief model with only 10 checklists has been developed and its usefulness has been proven by pilot test with 10 real service R&D requests. The results of this study can be used for evaluation of service R&D proposals and effective budgeting of R&D requests for improving global competitiveness. Further research is needed for refining the developed evaluation models.

• 한국산업정보학회논문지
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• 제29권2호
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• pp.191-204
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• 2024

본 연구는 글로벌 정치 경제적 불확실성 따라 제조 기업의 R&D 투자가 매출액에 미치는 영향을 분석하였다. 본 연구의 변수로는 기업의 R&D 투자, 기업의 성과 지표인 매출액, 글로벌 정치 경제적 불확실성을 반영한 Global Economic Policy Uncertainty (GEPU) 수치가 사용되었다. 패널데이터 분석에 있어서 Wharton Research Data Services의 Compustat Database에 있는 제조 기업을 바탕으로 2000년부터 2023년까지 24년간 총 96분기 데이터를 사용하였다. 선행 연구에서 상대적으로 부족했던 Global Economic Policy Uncertainty 수치를 조절변수로 사용하여 기업의 R&D 투자가 매출액에 미치는 영향에 연구하였으며, 시간 지연 효과(Time lag effect)에 대해 분석함으로써 새로운 연구의 방향을 제시하였고, 기업의 효과적인 R&D 투자 전략을 실행해야 함을 시사하였다.