• Journal of Korea Technology Innovation Society
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• v.6 no.3
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• pp.373-390
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• 2003

With limited resources, proper allocation of the national R&D budget is very crucial matter for reinforcing the national competence, and the importance of selecting strategic R&D fields have been increasingly emphasized by technology policy-makers and CTOs. This paper deals with technology relevance/cluster analysis, which measures technological dependency and relevancy among technologies, and how it can be used for selecting the strategic R&D fields especially satisfying SMEs(small and medium enterprises)' specific needs. As a result of this study, technology-product tree composed of 7 major technology fields, 22 clusters, 41 groups, 335 core-need technologies and hundreds of related business items are produced that can be used for designing SMEs' R&D/business portfolio as well as R&D investment decision-making of the Ministry of Small and Medium Business Administration.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.22-37
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• 2002

The importance of selecting the strategic research field is increasingly emphasized by research manager and technology policy-maker in perspective of the strategic allocation of R&D resources, employing the R&D personnel, and formulating technology policy. Among various methods for selecting the strategic research field, it is, however, very difficult to find the method that involves the path-dependant trend, and interdisciplinary nature of technology development. This study suggests modified technology cluster analysis (TCA) as a method for selecting strategic research field in order to include the recent technology trend in quantitative approach. TCA is the method that groups the near technologies of which the innovation pattern is similar. TCA model can be a very necessary method for multidisciplinary government research institutes (GRIs) which conduct multi research field with forward oriented positioning. It is more difficult for them to select the strategic research field mainly due to their diversity and intangibility of research scope. In this study, we applied this method to Korea Institute of Science and Technology (KIST) which represents the most adequate research institute in terms of research diversity and forwardness. As a result of the application, we found that seven main technology groups come from TCA analysis, coincide with the technology topics of KIST's recent R&D planning. Even though this method designed for multidisciplinary research institutes, but it also can be used for establishing the research strategy of other (private or public) Research Institute which have the similar mission and scope of research.

• Smart Media Journal
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• v.11 no.8
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• pp.9-20
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• 2022

With the rise of the metaverse industry worldwide, relevant national strategies and nurturing systems have been prepared in Korea. As the complexity of policies increases, the importance of establishing data-based policymkaing is growing, and studies diagnosing national R&D trends in the metaverse field are still lacking. Therefore, this paper collected NTIS national R&D information for 9,651 R&D projects promoted from 2002 to 2020. And this study looked at the current status and identified major topics based on the topic modeling, and considered time-series changes in the topics. Eleven major topics of R&D tasks in the metaverse field were derived, hot topics were service/content/platform development and medical/surgical fields of application fields, and cold topics were urban/environment/spatial information fields. Strategic R&D Management, metaverse-related laws, and institutional studies were proposed as policy directions.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.2
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• pp.69-78
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• 2017

Objectives : This study aims to analyze the public investment for Korean Medicine R&D to facilitate the future strategic planning. Methods : All government supported research projects for Korean Medicine that were invested in 2009, 2012, 2015 were searched in the NTIS (National Science & Technology Information Service) Database. Research budgets were analyzed by government departments, R&D agents, R&D steps, and research fields. CAGR (Compound Annual Growth Rate) was derived from each Korean Medicine research field. Differences of research budgets among research fields were tested using Chi square analysis. Results : A total of 891 projects supported in 2009, 2012, and 2015 was analyzed. The amount of research budgets has increased, from 49,839 million won in 2009 to 106,536 million won in 2015 showing 13.5% of CAGR. Ministry of Science, ICT, and Future Planning, and Ministry of Health and Welfare were the biggest sponsors in Korean Medicine R&D. Chi square analysis showed that, in this period, there were statistically significant differences of research budgets in Korean Medicine technology equipment field and infrastructure field. Conclusions : To diversify the Korean Medicine R&D, unequal research funding among government departments should be relieved, and virtuous cycle of Industry-University-Institute Collaboration in Korean Medicine need to be built.

• Journal of the Korean Solar Energy Society
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• v.30 no.3
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• pp.81-89
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• 2010

The photovoltaic industry is one of the main research areas for regenerable energy usage and green growth policy of the Korean government. R&D programs of MEST(Ministry of Education, Science and Technology) and MKE(Ministry of Knowledge Economy) are concentrating on the development of fundamental and applicable technology which can be carried out by a so-called "Big company" consortium. So it is essential to discover and support R&D projects for small and medium enterprises(SMEs) in the photovoltaic industry. R&D projects should be funded effectively to enhance the competitiveness of the SMEs. It is a complicated process as to decide what R&D projects or key element technologies should be selected and how to support them. In this paper, the supply chain analysis is adopted as a critical tool for selecting the research areas and topics for the SMEs, which can be done by analyzing the number of the SMEs, the level of imports and the localization possibility for each supply chain element. We define the strategic products for the SMEs to deduct core technologies for each strategic product. R&D projects definition sheets are proposed for each core technology. All the decision making processes are authorized by a committee which consists of experts for academia, industries and the research field. The efficacy of the proposed framework is described throughout the photovoltaic industry.

• Journal of Marine Bioscience and Biotechnology
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• v.6 no.2
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• pp.84-101
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• 2014

The aim of this project is to develop an adaptive and collective National Marine Biotechnology Plan for the next decade(2014~2023) which is able to reflect current and future changing environment. This effective strategy targets to foster marine-derived active bio-materials, marine bioenergy production technology and many promising technologies in order to promote marine biotechnology industry as a next-generation growth engine. Marine biotechnology industry based on R&D activities since 1980 has been growing as an emerging industry. This new field enables to secure exclusive patent rights and to find new potential bio-active materials from the ocean that requires long-term aggressive R&D investments. The current policy direction is to raise appropriate level of R&D investment because the current Korea's national marine biotechnology R&D fund ratio is less than 2% of the total national biotechnology R&D budget. The result shows three major strategies. First, it recommended a research implementation system and supporting policy that includes establishment of open innovation framework for the 'Industry-Academia-Research Institute Collaborations', strategic research planning and enhanced policy making process. Second, it derived state-of-the-art or new technology in many areas. Third, it formulated more detailed execution plans for successful R&D support and set up performance indicator system in related R&D program.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.1-8
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• 2023

To investigate the national science and technology policy direction in the field of construction machinery, an analysis was conducted on projects selected as national research and development (R&D) initiatives by the government. Assuming that the project titles contain key keywords, text mining was employed to substantiate this assumption. Project information data spanning nine years from 2014 to 2022 was collected through the National Science & Technology Information Service (NTIS). To observe changes over time, the years were divided into three-year sections. To analyze research trends efficiently, keywords were categorized into groups: 'equipment,' 'smart,' and 'eco-friendly.' Based on the collected data, keyword frequency analysis, N-gram analysis, and topic modeling were performed. The research findings indicate that domestic government R&D in the construction machinery field primarily focuses on smart-related research and development. Specifically, investments in monitoring systems and autonomous operation technologies are increasing. This study holds significance in analyzing objective research trends through the utilization of big data analysis techniques and is expected to contribute to future research and development planning, strategic formulation, and project management.

• Journal of the military operations research society of Korea
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• v.30 no.2
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• pp.122-132
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• 2004

The aim of this paper is to show the process of R&D Project-Priority Ordering in the Defense Technology field. We propose specific methods (Delphi, Analytic Hierarchy Process (AHP), Scoring) to order the R&D Project-Priority. In general, to decide the priority of R&D projects most of researches depend on questionnaires which are surveyed by experts. However, it is criticized that this process cannot reflect the limitation of experience and knowledge of experts. In this process, we separate evaluators in two parts: the first is strategic experts, the second is technical experts. Evaluators can choose and evaluate the alternatives which they are familiar with, so we can obtain reliable results. Finally, based on our process of the R&D Project-Priority Ordering we formulate policy implications for managing the defense technology.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.49-61
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• 2017

This paper proposes an R&D project selection methodology for green technology centered on developing country-oriented technology commercialization. Eight selection criteria are derived from the R&BD logic model : technology needs of developing countries, effectiveness of green technology, technological potentials, domestic technological capability, commercialization feasibility, economic benefits, business feasibility, and spillover effects of developing countries. 21 qualitative and quantitative indicators are then defined for each criterion. The analytic hierarchy process is conducted to produce relative importance of evaluation indicators and to set final priority scores of R&D project candidates. The working of the proposed methodology is provided with the help of a case study example of Green Technology Center. The proposed methodology is expected to be effectively utilized for policy practices of R&D project selection in the field of green technology.

• The Journal of Industrial Distribution & Business
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• v.10 no.8
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• pp.55-65
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• 2019

Purpose - Recently, the fourth industrial revolution is rapidly progressing, and the central government-led innovation system is not able to flexibly cope with changes in science and the economy and society. To solve these problems, it is necessary for local governments, which can easily identify and flexibly respond to local sites, to become self-centered and ready to respond more quickly to massive changes. Through this research, this study investigated the awareness of the elements of Jeonnam Province's capabilities in the field of science and technology policy, the importance of R&D, and how network cooperation among the base institutions might affect performance. Research design, data, and methodology - In fact, the data used in this study only 115 people were polled, excluding five who did not respond to the necessary variables. The methods of the survey were sampled, and the means of the survey were investigated via a self-contained electronic file (e-mail). Statistical analysis, including hypothesis verification, was performed by SPSS 19. The regression analysis was used. Results - All factors significantly affect performance by dividing them into five sub-fields: R&D strategic establishment, R&D demand survey, R&D planning, R&D evaluation, and R&D project management. These results suggest the importance and need for local scientific technology policy capabilities. Besides, it was confirmed that the relationship between regional science and technology policy capabilities and performance was moderated by the recognition of the importance of science technology and network cooperation among the core organizations. Conclusions - As a result, independent variables regarding the capabilities of each scientific technology policy were found to be statistically significant and have a significant effect on performance. Second, the regression analysis has shown the moderation effects of R&D importance awareness between the capabilities of science and technology policies and their performance. On the other hand, a regression analysis showing that the capabilities of science and technology policies and network cooperation between the base regions were not significant, indicating that there is no effect of moderation of network cooperation between the base regions between the capabilities of science and technology policies and performance.