• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.706-710
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• 2006

Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is lack of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation. After gathering knowledge flow data between science and technology through mapping citing patent and cited paper, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Basd on 2 types of knowledge flow data, it propose method to examine knowledge flow from science to industry by applying overlap function is a network link weight function.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.127-139
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• 2013

With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2835-2839
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• 2010

This paper estimated the technical specialization of UAV system by analyzing related patents. For that, variable indicators such as patent numbers regarding country, subsystem technic, periods and revealed number of patents are used in this paper. RPA and PII index are also used to estimate technical specialization of the coutry. Positive RPA value means superior competitiveness, and vice versa. PII means the quality of the patent. PII value more than 1 means that the quality of the patent is better than others, Otherwise the quality of the patent is worse. This paper estimated the specialization of technologies among countries using above two index.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.351-357
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• 2021

At the time when interest in the use of big data is rising in the face of the technological paradigm shift of the 4th industrial revolution, interest in the use of patented big data is increasing, especially as the proportion of intangible assets of companies increases. In addition to quantitative information, patent data contains various information such as unstructured text such as title, abstract, claim, citation and citation relations, drawings, and technology classification. It is judged that the use of treatment is important. Therefore, in this study, in order to systematically operate the innovative patent strategy framework and to secure a competitive advantage by strengthening the fundamental technological competitiveness of the company, we propose a method of using patent big data centering on the case of Company A, and verify its validity. I would like to suggest some implications. Through this, it is intended to raise awareness of the use of patent big data, and to suggest ways to use patent big data in connection with the company's company-wide strategy, business strategy, and functional strategy.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.117-126
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• 2007

The purpose of this paper is to analyze the trends of technological development in the field of portable multimedia player (PMP) through patent information of major countries, and evaluate the technological Position of PMP. In the first place, we will carry out a quantitative analysis in terms of the annual trend of patent applications in the field of PMP, the technological position of PMP through portfolio analysis, the share of patents by applicant, the worldwide innovation leader of major countries, and the patent trend by IPC. Secondly, we will measure the technological level of PMP using indicators including cites per patent (CPP), science linkage (SL), and patent family size (PFS). Finally, we will evaluate the directions of research or technology development and the technological competitiveness of major countries. This evaluation could give us some useful policy implications on the strategy of R&D in PMP.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5227-5237
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• 2011

Technology roadmap is a powerful tool that considers relationships of technology, product and market and referred as a supporting technology strategy and planning. There are numerous studies that have attempted to develop technology roadmap and case studies on specific technology areas. However, a number of studies have been dependant on brainstorming and discussion of expert group, delphi technique as qualitative analysis rather than systemic and quantitative analysis. To overcome the limitation, patent analysis considered as quite quantitative analysis is employed in this paper. Therefore, this paper proposes new technology roadmapping based on patent citation network considering technology life cycle and suggests planning for undeveloped technology but considered as promising. At first, patent data and citation information are collected and patent citation network is developed on the basis of collected patent information. Secondly, we investigate a stage of technology in the life cycle by considering patent application year and the technology life cycle, and duration of technology development is estimated. In addition, subsequent technologies are grouped as nodes of a super-level technology to show the evolution of the technology for the period. Finally, a technology roadmap is drawn by linking these technology nodes in a technology layer and estimating the duration of development time. Based on technology roadmap, technology planning is conducted to identify undeveloped technology through text mining and this paper suggests characteristics of technology that needs to be developed in the future. In order to illustrate the process of the proposed approach, technology for hydrogen storage is selected in this paper.

• Clean Technology
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• v.18 no.2
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• pp.144-154
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• 2012

Technology trends of coal gasification were studied through patent analysis. The patents published or registered in Korea, U. S. A., Japan and Europe, and administered by the World Intellectual Property Organization from mid 1970s to 2010 were analyzed based on the application tendency, patent share, major applicants and their activity indices, and market power, etc. Japan and U. S. A. led the patent activities in the early phase of technology development, but major applicants had been diversified globally since 2000. Portfolio analysis revealed that the technology was under developing period. The analysis showed that the most active R&D had been focused on gasifier development. Technology competitiveness was analyzed via indices such as cites per patent, patent impact index, technology strength and patent family size, etc. Key patents were extracted through quantification based on patent family size and cites per patent. The technology flow was figured out to reveal the technology trends.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2012.05a
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• pp.349-359
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• 2012

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.207-220
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• 2021

Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.121-135
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• 2003

기술 패러다임의 변화는 전체 산업구조를 변화시킬 뿐 아니라 새로운 산업 분야를 만들어내고 현존하는 산업분야 내의 기술을 변화시킨다. 기술혁신의 산업별 유형에 관한 Paviit의 연구는 이러한 산업분야 별 기술적 특성의 다양성, 즉 기술 패러다임 변화에 토대를 두고 있으며 그의 산업분류는 많은 후행 연구에서 인용되어 왔다. 그럼에도 불구하고 Paviit의 연구는 분석이 특정 시기에 국한되고, 정량적 분석이나 시간의 흐름을 고려한 동적 분석이 부족하며 일부 산업분야의 데이터가 미흡하다는 점 등, 데이터 분석과 관련된 몇 가지 한계점을 가지고 있다. 따라서 본 논문에서는 Paviit 연구의 한계점을 극복하고자 1975년과 1999년 사이에 미국특허청(USPTO)에 등록된 특허에 대한 자료 및 특허인용에 대한 자료를 이용하여 실험적인 분석을 실시하였다. 산업구조의 변화를 고려하여 Pavitt이 제시한 4개의 산업 유형은 1)공급자 지배형(Supplier dominated), 2)규모 집약형(Scale intensive), 3)전문 공급자형 (Specialized suppliers), 4)화학 기반형(Chemical science based), 5)생명과학 기반형(Bio-science based), 6)정보과학 기반형 (Information science based)의 6개로 확장되었다. 이와 같이 도출된 각 산업 유형 별로 A)특허 네트워크(Patent Network), B)기술 궤적 (Technology Trajectory) 두 가지 측면에서 분석을 실시하였다. 우선 특허 네트워크 분석은 기술발달 과정에서의 지식 흐름을 연구하기 위한 분석으로, 산업 내 분석으로는 각 산업에 속한 특허들의 관계의 측면에서 긴밀성을 나타내는 네트워크 밀도와 기술 지식의 집중 정도를 나타내는 네트워크 중심도를 산출하였고 산업간 분석으로는 산업간 지식 흐름의 양상을 살펴보았다. 또한, 기술 궤적 분석에서는 각 산업별 기술의 특성을 분석하는 것으로, 특정 기술 지식의 활용 기간을 통해 기술 주기를 도출하고, 산업 내 평균 권리 청구 항목 수를 이용하여 각 산업의 기술 범위를 비교하였다. 각각의 동적 분석을 통해 시간에 따른 변화 양상이 관찰하였고, ANOVA 분석을 이용하여 통계적 유의성을 검증하였다. 본 연구는 현재의 기술 패러다임 내에서 Pavitt이 제시한 산업 분류의 근거를 보충 설명하였고 특허 정보를 이용하여 기술혁신의 산업별 유형에 대한 폭넓은 분석방법을 제시하였다.