• Title/Summary/Keyword: Patent information analysis

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Central Technology Deriving for the Patents of Medical Device using Social Network Analysis (특허 네트워크 분석을 활용한 의료기기 분야에서의 핵심기술 도출)

  • Chun, Jae-Heon;Lee, Chang-Seop;Lee, Suk-Jun
    • Management & Information Systems Review
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    • v.35 no.2
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    • pp.221-254
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    • 2016
  • With increasing interest of health due to population aging, medical device industry is highlighted as a promising industry. However, Korea medical device industry is not enough market competitiveness compared to global company due to a narrow domestic market and a small company structure. In order to retain the national competitiveness, it is necessary that we have to derive a central technology and its trend. This study has predicted a central technology for medical device industrial using patent network analysis. The central technology is defined as a key technology that is connected to most other technologies and that significantly affects them. For the empirical study, we conducted social network analysis using covariance and correlation coefficient between IPC codes extracted from medical device patents, introduced by Jun(2012). A social network is a social structure of diverse items as well as of human beings. In this study, we set each medical device as a node in an SNA and analyze the Degree values between them. Also, Korea health industrial statistics system are utilized for verification of selected central technology. As a result, we found that the central technology is located on the medical device items, which are listed higher the amount of production. The central technology selected through the proposed methodology will provide a inspiration for establishment of R&D policy.

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Analysis of Applications of Industrial Rights in Eyewear Industry (안경산업에 있어서의 산업재산권 출원 현황 분석)

  • Jang, Jun-Young;Kim, Dae-Nyoun;Choi, Byung-Jin
    • Journal of Korean Ophthalmic Optics Society
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    • v.13 no.4
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    • pp.19-24
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    • 2008
  • Purpose: The purpose of this research is to induce domestic eyewear industry to invest in research and development of eyewear manufacturing technology and eyewear design. Methods: Analysis of Industrial Rights using data issued by Korea Intellectual Property Office and search results by 'Kipris' (Korea Intellectual Property Rights Information Service). Results: A number of Industrial Rights Application related to eyewear of eyewear industry has rapidly increased since 1980's. The ratio of Patent and Design Right applications related to eyewear by foreigner has continually decreased, 55%, 32.9% in 1980's, 40%, 22% in 1990's and 27%, 13.9% in 2000's. This shows domestic eyewear industry has developed technology and design on eyewear more and more. But numbers of Design Right applications in 1990's were about 60 in a year and those in 2000's were about 70 in a year. This may explain a few eyewear company have applied for Design Right. Conclusions: It is evident that domestic eyewear industry make an more effort and investment to develop eyewear manufacturing technology and design, but not enough. Actually, we don't know exactly how they develop and how much they invest. Now we need to research problems what they have and environments what they face.

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Technical Trend on the Recycling Technologies for Stripping Process Waste Solution by the Patent and Paper Analysis (특허(特許)와 논문(論文)으로 본 스트리핑 공정폐액(工程廢液) 재활용(再活用) 기술(技術) 동향(動向))

  • Lee, Ho-Kyung;Lee, In-Gyoo;Park, Myung-Jun;Koo, Kee-Kahb;Cho, Young-Ju;Cho, Bong-Gyoo
    • Resources Recycling
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    • v.22 no.4
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    • pp.81-90
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    • 2013
  • Since the 1990s, the rapid development of information and communication industry, the demand for semiconductor and LCD continues to increase. Therefore in the formation of fine circuit patterns, which are the cores of sensitizer and the most expensive thinner and stripper liquor used to remove photoresist and its dilution, the amount in demand are dramatically increasing, emerging need for recycling of waste thinner and stripper liquor. Recently, recycling technologies of stripping process waste solution has been widely studied by economic aspects and environmental aspects, in terms of efficiency of the stripping process. In this study, analyzed paper and patent for recycling technologies of waste solution from stripping process. The range of search was limited in the open patents of USA (US), European Union (EP), Japan (JP), Korea (KR) and SCI journals from 1981 to 2010. Patents and journals were collected using key-words searching and filtered by filtering criteria. The trends of the patents and journals was analyzed by the years, countries, companies, and technologies.

Trends in truffle mushroom utilization technology: A patent database survey through the first half of 2023 (트러플 활용기술 동향: 2023년 상반기까지의 특허를 중심으로)

  • Hyun-Suk Kim;Moon-Hee Choi;Deuk-Sil Oh;Hyun-Jae Shin
    • Journal of Mushroom
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    • v.21 no.3
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    • pp.88-92
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    • 2023
  • In this review, we examine the latest technological developments in the utilization of truffles, a gourmet ingredient reputed to be one of the "world's three greatest delicacies," considering changing global consumption trends. Global demand for truffles is expected to increase steadily, with an average annual growth rate of 8.9% from 2023 to 2030. As truffles are expensive, the demand for truffles is expected to be concentrated in developed countries such as the United States, European countries, and Japan. In Korea, truffles are utilized in various industries, including food, functional foods, and cosmetics. Korean consumer demand for truffles has consistently remained high since 2019, and truffle products have been performing well in the market. Consequently, there exists substantial potential demand for newly developed truffle-related products and technologies. This review aims to provide objective research information through the systematic analysis of patent applications in Korea and internationally, focusing on technologies involving truffles, and can aid in setting directions for research and development.

A Study on a Continuing Educational Program for Librarians - Based on Analysis of University Credits (학부 이수교과목 분석을 통한 현장 사서의 계속교육프로그램 개발에 관한 연구)

  • Ahn, In-Ja;Noh, Young-He;Choi, Sang-Ki;Kim, Hye-Joo
    • Journal of Korean Library and Information Science Society
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    • v.43 no.1
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    • pp.27-52
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    • 2012
  • This paper proposes a continuing educational program for librarian, as to reinforce the professionalism. It researches the previous educational attainments of undergraduates who studied library science. Then it analyses the current continuing programs of the National Library of Korea and librarians' demands for the program. The research also compares ALA and SLA as foreign cases of continuing programs, and their trends observed from the newly opened sessions. This paper, therefore, reports a series of educational contents in library science by their subjects. The proposed curriculum includes subjects including electronic publishing and copyrights, Future of Library, Taxonomy and controlled vocabulary, Patent Information. Science Information Literacy, Open Access Program, The Value of Library, Licensed Issues, Customer Service program etc.

An Exploratory Study on the Korean National R&D Trends Using Co-Word Analysis (단어동시출현분석을 통한 한국의 국가 R&D 연구동향에 관한 탐색적 연구)

  • Seo, Wonchul;Park, Hyunseok;Yoon, Janghyeok
    • Journal of Information Technology Applications and Management
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    • v.19 no.4
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    • pp.1-18
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    • 2012
  • This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.

4P Model for Strategic Research Planning: Focusing on the Cases of Korea Research Institute of Chemical Technology

  • Choi, Kyungsun;Choe, Hochull;Ko, Youngjoo
    • Asian Journal of Innovation and Policy
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    • v.7 no.2
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    • pp.287-309
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    • 2018
  • The demand for efficient utilization of input resources and productive outcomes is increasing as the government's R&D investments in Government-funded research institutes (GRIs) expand. These changes call for improving research-planning activities, which are defined as a set of activities wherein objectives are established, strategies for acquisition and expenditures of research resources are devised, and utilizations of research outcomes are addressed. This study introduces the integrated 4P analysis model that identifies the relationships among patents, papers, products, and projects. It looks into 4P analysis structure and its efficiency as a research planning means through case studies of the Korea Research Institute of Chemical Technology. This study introduces 4P analysis applied to KRICT, which can be utilized for outcome-oriented research planning of GRIs. At the same time, it investigates into the benefits and implications of 4P analysis. It proffers policy suggestions on such aspects as how research planning of GRIs should go through changes in a strategic and systematic way.

A Study on the Performance and the Influence factors of Open Innovation of Knowledge-based Exporting companies. (지식기반형 수출기업의 개방형혁신 성과와 영향요인에 관한 연구)

  • Kim, Gwi-Ok
    • International Commerce and Information Review
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    • v.12 no.2
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    • pp.325-355
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    • 2010
  • Knowledge-based exporting companies in Korea have reached a stage to develop new technological innovation and to pioneer new markets. But, developing new technologies and launching new products require an enormous sum of money for Research and Development(R&D) and there is still uncertainty in technological development and markets. Therefore, through open technological innovation, they are encouraged to actively use external technological sources and ideas. They also need to enhance the efficiency of the relatively little R&D investment. In this paper, firstly, it conducts a precedent study on the concept and influence factors of knowledge-based exporting companies and open technological innovation. Secondly, it sets a study model and estimates a regression coefficient to analyze the influence factors of open technological innovation of knowledge-based exporting companies which are using external resources on the process of innovation. Through case study and empirical analysis, we are going to find the implication of open technological innovation and prepare the way of the innovation for the knowledge-based exporting companies. According to the empirical analysis, variables such as firm size, processing degree, product life, patent registration, maintaining internal security didn't have positive effects on open innovation performance. On the other hand, research capability and market preoccupancy had positive effects. Therefore, to succeed in open innovation, knowledge-based exporting companies not only need to secure research capability through open innovation, but also need to preoccupy the market through commercialization of developed product.

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A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

Technological Cooperation Network Analysis through Patent Analysis of Autonomous Driving Technology (자동차 자율주행 기술 특허분석을 통한 기술협력 네트워크 분석)

  • Lim, Ho-Geun;Kim, Byungkeun;Jeong, Euiseob
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.688-701
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    • 2020
  • This study analyzes the characteristics and change factors of technological cooperation networks in the automotive industry. Using Social Network Analysis (SNA) of 112,009 autonomous driving-related patents filed from 2000 to 2017 by major automotive firms in the world, we investigate the structure of the technological cooperation network. Network characteristics such as density are analyzed through structural characteristic analysis among the network analysis indicators. The structural characteristics of the technology cooperation network are confirmed through analysis of status characteristic indicators, such as the degree of centrality, betweenness centrality, and closeness centrality. Results show that car makers such as Toyota and Hyundai Motors, as well as parts suppliers such as Bosch and Continental, have high-performance technology developments related to autonomous driving. The structural characteristics of the network show that companies participating in cooperative networks for autonomous driving technology development have increased in number and are diversified, and all of the status characteristics indicators have decreased. This can be interpreted as an increasing number of horizontal and complementary forms of technological cooperation between firms. In addition, it was confirmed that the number of participants in the field of autonomous driving technology has increased, and the networks have become more complex.