박사

특허 네트워크 분석을 이용한 기술 및 산업융합에 관한 연구 : 대구?경북 지역산업을 중심으로 : Focused on the Local Industries of Daegu and Gyeongbuk = Study of the Technology and Industry Convergence using Patent Network Analysis

한장협 2016년
논문상세정보
' 특허 네트워크 분석을 이용한 기술 및 산업융합에 관한 연구 : 대구?경북 지역산업을 중심으로 : Focused on the Local Industries of Daegu and Gyeongbuk = Study of the Technology and Industry Convergence using Patent Network Analysis' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 일반 경영
  • 기능성하이테크섬유산업
  • 기술융합
  • 산업융합
  • 스마트분산형에너지산업
  • 특허
  • 패스파인더 네트워크 분석
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
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' 특허 네트워크 분석을 이용한 기술 및 산업융합에 관한 연구 : 대구?경북 지역산업을 중심으로 : Focused on the Local Industries of Daegu and Gyeongbuk = Study of the Technology and Industry Convergence using Patent Network Analysis' 의 참고문헌

  • 한국형 산업융합 방법론에 대한 연구: 기술인문 융합을 중심으로
    이희준 홍익대 학교 박사학위논문 [2015]
  • 한국특허정보원, 기술로드맵 작성을 위한 특허분석 방법론
    서울: 한국특허정보원 [2005]
  • 한국전자통신연구원
    콘텐츠 산업의 융합 유형별 사례 및 전망 [2010]
  • 한국의 기술융합발전 트렌드 및 융합기술개발 결정요인분석, 2014-709
  • 특허청ㆍ한국지식재산연구원, 지식재산 경쟁력 및 특성지표 개발
    인프라 기초연 구과제보고서 [2012]
  • 특허청, 한국의 특허동향 2001-2012
    대전: 서울: 특허청; 한국특허정보원 [2013]
  • 특허정보의 효율적 이용방안에 관한 연구
    권기영 연세대학교 석사학위논문 [2005]
  • 특허정보의 특성
    김홍균 고분자 과학과 기술, 15(6), 743-749 [2004]
  • 특허정보를 활용한 융합기술 분류체계 및 특성에 관한 연구
    이자람 한양대학교 석사학위논문 [2015]
  • 특허정보를 활용한 나노바이오 융합기술의 특성 분석
    노현정 임효정 지식재산 연구, 4(3), 109-129 [2010]
  • 박사
    특허정보를 활용한 기술융합 분석
    김소영 성균관대학교 석사학위논문 [2014]
  • 특허정보를 이용한 기업성과 분석-기술 다각화를 중심 으로-
    김혁준 박근량 임효정 특허청, 제102호 [2008]
  • 박사
  • 특허정보 조사와 특허맵을 통한 기업의 특허정보 활용방안에 관한 고찰
    백광우 연세대학교 석사학위논문 [2005]
  • 특허정보 분석과 시나리오 플래닝을 이용한 미래기술 전략의 수 립
    윤장혁 최성철 정보관리연구, 3(2), 169-197 [2012]
  • 특허인용관계를 이용한 기술지식 흐름의 실증분석: 산업수준의 네트워크 분석과 클러스터 분석
    박종용 서울대학교 박사학위논문 [2008]
  • 특허에 기반을 둔 기술융합분석
    유준상 이희상 대한산업공학회 추계학술대회 논문집, 2013(11), 1105-1133 [2013]
  • 특허분석을 통한 자동차부품융합 기술의 현황 및 발전 방안: 대구 경북지역을 중심으로
    김채복 윤상현 한장협 경영연구, 30(2), 309-346 [2015]
  • 특허분석을 이용한 지능형 시스템의 기술예측
    전성해 한국지능시스템학회논문 지, 21(1), 100-105 [2011]
  • 특허 분석을 통한 기술 지식의 관리와 신기술 개발 방법론
    윤병운 서울대학교 박 사학위논문 [2005]
  • 특허 데이터베이스를 활용한 기술-산업 간 연계구조 분석과 한국기업의 특허전략평가
  • 박사
  • 지역경제 분석기법에 의한 대구지역의 산업구조 분석
    이춘근 경제학연구, 46(4), 323-350 [1998]
  • 중기업의 지식자산과 산업의 역동성이 경영성과에 미치는 영향
    박선영 기술혁신 역량학회지, 10(3), 509-530 [2007]
  • 전략적 관점의 기술특허 모니터링 프레임워크 및 기술 특허 지도 개발
    감혜리 서울대학교 학위논문 [2005]
  • 융합기술 확산과 인력개발전략 기초연구
    황규희 한국직업능력개발원, 기본연 구 2007(7) [2007]
  • 새로운 상대집중계수 NOHI 제안
    남기성 오민홍 홍현균 한국고용정보원, 2008-6 [2008]
  • 산업 간 융합패러다임과 기업의 활용전략
    김덕현 상장협연구, 62, 58-80 [2010]
  • 사회적 소프트웨어 기반 지식경영 프레임워크에서의 개인 지식경영시스 템 설계 및 구현
    김학래 단국대학교 박사학위논문 [2007]
  • 사회연결망 분석
    김용학 서울: 박영사 [2011]
  • 사회 네트워크 분석
    손동원 서울: 경문사 [2002]
  • 모바일 산업에서의 특허기반기술 지식네트워크 패턴과 산업혁신 전략, 2012-02
    김남일 김원준 조용래 한국지식재산연구원 [2012]
  • 매개중심성 분석을 통한 기술군간 융 합정도 측정, 한국콘텐츠학회
    고병열 권오진 노경란 문영호 이방래 한국콘텐츠학회 종합학술대회 논문집, 5(1), 1-5 [2007]
  • 농업기술실용화재단, (2010년)농식품 기술가치평가 기초기반 사업보고서: 업종분 류, 업황조사, 기술-업종연계분류
    수원: 농업기술실용화재단 [2011]
  • 기업의 특허관리와 특허제도의 활용
    김원준 한국과학기술원 고급기술경영론강의 록 [1995]
  • 기업의 기술개발을 위한 효과적 특허관리에 관한 연구
    김종래 연세대학교 학위 논문 [1980]
  • 기술집약 기업의 특허전략에 대한 고찰
    김광석 연세대학교 학위논문 [2006]
  • 박사
  • 기술분석과 특허정보 분석
    고병열 특허청 발명정책과 [2002]
  • 기술개발을 위한 특허제도 활성화 방안에 관한 연구
    연구흠 서울대학교 학위논 문 [1992]
  • 국내 화학기업의 특허활동과 경영성과 간의 관계 연구
    김선우 최영훈 한국기술 혁신역량학회, 2003(5), 389-402 [2003]
  • 교육과학기술부등
    국가융합기술발전기본계획(’09-’13), 2008.11 [2008]
  • 공학도와 경영마인드
    박용태 생능출판사 [2007]
  • 계량정보분석을 통한 지식의 Mapping과 활용
    정용일 서울: 한국과학기술정보연구원 [2005]
  • 『네트워크 분석 방법론』
    이수상 서울: 논형 [2013]
  • “고령친화산업 행위주체 네트워크의 구조적 공간적 특성: 사회네트워크 분석을 중심으로”
    구양미 ’ 대한지리학회지, 3(4), 526-543 [2008]
  • ‘특허정보를 활용한 IT 유망기술 도출에 관한 연구’
    김방룡 황성현 한국통신학회 논문지 네트워크 및 서비스, 34(10b), 1021-1030 [2009]
  • van Raan, A. and Tijseen, R.(1993), The neural net of neural network research, Scientometrics, 26(1), 169-192.
  • van Raan, A. F. and Peters, H. P. F.(1989), Dynamics of a scientific field analysed by co-subfield structures, Scientometrics, 15(5-6). 607-620.
  • Yoon, B., Yoon, C. and Park Y.(2002), On the Development and Application of a Self-Organizing Feature Map-Based Patent Map, R&D Management, 32(4), 291-300.
  • Yoon, B.(2005), Methodology for managing technological knowledge and developing new technology using patent analysis, Ph. D. Thesis Dissertation.
  • Yoon, B. and Park, Y.(2004), A text-mining based patent network: Analytical tool for high-technology trend, Journal of High Technology Management Research, 15(1), 37-50.
  • Yoon, B. U., Yoon, C. B. and Park, Y. T.(2002), On the development and application of a self-organizing feature map-based patent map, R&D Management, 34(4), 291-300.
  • Yin, R. K.(2010), Case Study Research: Design and Methods, 4th ed., Sage, CA.
  • White, H. D. and McCain, K. W.(1997), Visualization of Literatures, Annual review of information science and technology(ARIST), 32, 99-168.
  • Wan, X.(2007), A novel document similarity measure based on earh mover's distance, Information Sciences, 177, 3718-3730.
  • Wagner, C. S., Roessner, J. D., Bobb, K., Klein, J. T., Boyack, K. W., Keyton, J., Rafols, I. and Borner, K.(2011), Approaches to understanding and measuring interdisciplinary scirntific research (IDR): A review of the literature, Journal of Informetrics, 5(1), 14-26.
  • Verspagen, B., Morgastel, T. v., Slabbers, M.(1994), MERIT concordance table: IPC– ISIC(rev.2), Maastricht: MERIT Research Memorandum, 2/94-004.
  • Verspagen, B.(1997), Measuring sectoral technology spillovers: estimates from the European and US patent office databases, Economic Systems Research, 9(1), 47-65.
  • Van Rijsbergen, C. J.(1979), Information retrieval. dept. of computer science, university of glasgow, URL: citeseer. ist. psu. edu/vanrijsbergen79information. html.
  • Trajtenberg, M.(1990), A penny for your quotes: Patent citations and the value of innovations, Journal of Economics, 21(1), 172-187.
  • Tong, X. and Frame, J.(1992), Measuring National Technological Performance with Patent Claims Data, Research Policy, 23, 133-141.
  • Tong, X. and Frame, D.(1994), Measuring national technological performance with patent claims data, Research Policy, 23, 133-141.
  • Todorov, R.(1989), ‘o-classification analysis for science mapping: an example from superconductivity’ in Science and Technology Indicators, edited by A.F.J. van Raan, A.J. Nederhof, and H.F. Moed, Leiden: DSWO.
  • Todorov, R.(1989), Representing a scientific field: A bibliometric approach, Scientometrics, 15(5), 593-605.
  • Tijssen, R. J.(1992), A quantitative assessment of interdisciplinary structures in science and technology: co-classification analysis of energy research. Research Policy, 21(1), 27-44.
  • Tijssen, R. J. W.(2001), Global and domestic utilization of industrial relevant science: patent citation analysis of science-technology interactions and knowledge flows, Research Policy, 30, 35-54.
  • Tijssen, R. J. W. and van Raan, A. F. J.(1989), Mapping co-word structures: a comparison of multidimensional scaling and Leximappe, Scientometrics, 15, 283-295.
  • Sternitzke, C., Bartkowski, A. and Schramm, R.(2008), Visualizing patent statistics by means of social network analysis tools, World Patent Information, 30(2), 115-131.
  • Sneath P. A. and Sokal R. R.(1973), Numerical taxonomy: the principles and practice of numerical classification, San Francisco: W. H. Freeman and Company.
  • Shin, J. and Park, Y.(2007), Building the national ICT frontier: The case of Korea, Information Economics and Policy, 19(2), 249-277.
  • Scott, J. P.(1991), Social Network Analysis: A Handbook, Thousand Oaks: Sage Publications.
  • Schvaneveldt, R. W., Durso, F. T. and Dearholt, D. W.(1989), Network Structures in Proximity Data, In The psychology of learning and motivation: advances in research and theory, G. Bower. (ed). New York: Academic Press, 24, 249-284.
  • Schvaneveldt, R. W.(ed).(1990), Pathfinder Associative Networks: Studies in Knowledge Orgabization, Norwood, NJ: Ablex.
  • Schmookler, J.(1966), Invention and Economic Growth, Harvard University Press; First Edition (US).
  • Schmoch, U., Laville, F., Patel, P., Frietsch, R.(2003), ‘Linking Technology Areas to Industry Sectors,’ Final Report to the European Commission, DG Research.
  • Schmoch, U.(2008), Concept of a Technology Classification for Country Comparisons. http://www.wipo.int/export/sites/www/ipstats/en/statistics/patents/pdf/wip o_ipc_technology.pdf
  • Rosenberg N.(1963). Technological Change in the Machine Tool Industry, 1840-1910. Journal of Economic History, 23(4), 414-446.
  • Reitzig, M.(2003), What determines patent value? Insight from the semiconductor industry, Research Policy, 32, 13-26.
  • Rafol, I. and Meyer, M.(2010), Diversity measures and network centralitise as indicators of interdisciplinarity: Case studies in bionanoscience, Scientometrics, 82(2), 263-287.
  • R&D 제안서 동시분류분석을 활용한 ICT 융합 네트워크 분석
    성기서 서울과학 기술대학교 석사학위논문 [2015]
  • Porter, A. L., Cohen, A. S., Roessner, D. J. and Perreault, M.(2007), Measuring researcher interdisciplinarity, Scientometrics, 72(1), 117-147.
  • Peters, H. P. F. and Raan, A. F. J.(1993), Co-word based science maps of chemical engineering, Part I: Representations by multidimensional scaling, Research Policy, 22, 23-45.
  • Pennings, J. M. and Puranam, P.(2001), Market Convergence and firm strategy: New directions for theory and research, Paper presented at the ECIS Conference, The Future of Innovation Studies, Eindhoven, 20-23.
  • Pavitt, K.(1988), Uses and Abuses of Patent Statistics, Handbook of Quantitative Studies of Science and Technology(edited by Van Raan).
  • Patel, P. and Pavitt, K.(1997), The technological competencies of the world's largest firms: complex and path-dependent, but not much variety, Research Policy, 26, 141-156.
  • Park, S. S. and Jun, S. H.(2012), New Technology Management Using Time Series Regression and Clustering, International Journal of Software Engineering and the Applications, 6(2), 155-160.
  • Park, H. and Yoon, J.(2014), Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D, Scientometrics, 98(2), 853-890.
  • Pang Ryong Kim(2013),. Characteristics of ICT-Based Converging Technologies, ETRI Journal, Vol. 35.
  • Paci, R., Sassu, A. and Usai, S.(1997), International patenting and national technological specialization, Technovation, 17(1), 25-38.
  • Otte, E. and Rousseau, R.(2002), Social network analysis: a powerful strategy, also for the information sciences, Journal of Information Science, 28(6), 441-453.
  • OECD (1994), The Measurement of scientific and technological Activities: using patent data as Science and Technology Indicators: Patent Manual.
  • Nordmann, A. (2004), Converging Technologies-Shaping the Future of European Societies, Report, High Level Expert Group “Foresighting the New Technology Wave”.
  • Nelson, A.(2009), Measuring knowledge spillovers: what patents, licenses and publications reveal about innovation diffusion, Research Policy, 38(6), 994-1005.
  • Narin, F., Noma, E. and Perry, R.(1987), Patents as indicators of corporate technological strength, Research Policy, 16, 143-155.
  • Narin, F., Carpenter, M. P. and Woolf, P.(1984), Technological performance assessments based on patents and patent citations, IEEE Transactions on Engineering Management, 36(2), 172-183.
  • Narin, F. and Noma, E.(1987), Patents as Indicators of Corporate Technological Strength, Research Policy, 16, 143-155.
  • Narin, F. and Noma, E.(1985), Is technology becoming science? Scientometrics, 7, 369-381.
  • Mowery, D. C., Oxley, J. E. and Silverman, B. S.(1998), Technological overlap and interfirm cooperation: implications for the resource-based view of the firm, Research Policy, 27, 507-523.
  • Moorman, C. and Slotegraaf, R. J.(1999), The contingency value of complementary capabilities in product development, Journal of Marketing Research, 36(2), 239-257.
  • Mogee, M. E.(1991), Using Patent Data for Technology Analysis and Planning, Research Technology Management, Jul./Aug. 43-49.
  • Miles, M. and Huberman, H.(1984), Qualitative Data Analysis, Sage, Newbury Park, CA.
  • Meyer, M.(2007), What do we know about innovation in nanotechnology? Some propositions about an emerging field between hype and path-dependency, Scientometrics, 70(3), 779-810.
  • Meyer, M.(2001), Patent citation analysis in a novel field of technology: An exploration of nano-science and nano-technology, Scientometrics, 51(1), 163-183.
  • Meyer, M.(2000), Does science push technology? patents citing scientific literature, Research Policy, 29, 409-434.
  • Meyer M.(2006), Measuring science–technology interaction in the knowledge-driven economy: The case of a small economy, Scientometrics, 66, 425-439.
  • Mei-Chin Hu(2011), Evolution of knowledge creation and diffusion: the revisit of Taiwan's Hsinchu Science Park, Scientometrics, 88, 947-977.
  • McCain, K. W.(1995), The structure of bio-technology R and D, 32(2), 153-175.
  • Marion, L. S. and McCain, K. W.(2001), Contrasting views of software engineering journals: Author cocitation choices and indexer vocabulary assignments, 52(4), 297-308.
  • Liu, X., Bollen, J. Nelson, M. L. and Van de Sompel H.(2005), “Co-Authorship Networks in the Digital Library Research Community,” Information Processing and Management, 41(6): 1462-1480.
  • Lin, Bou-Wen, Chen, Chung-Jen, and Wu, Hsueh-Liang(2007), Predicting citations to biotechnology patents ,based on the information from the patent documents, International Journal of Technology Management, 40(1-3): 87-100.
  • Leydesdorff, L., Kushnir, D. and Rafols, I.(2012), Interactive overlay maps for US patent (USPTO) data based on International Patent Classification(IPC), Scientometrics, 1-17.
  • Leydesdorff, L.(1989), Words and co-words as indicators of intellectual organization, Research Policy, 18(4), 209-223.
  • Lee. C. S., Lee, S. J. and Choi, B. G.(2012), “An Intelligent Decision Support System for Selecting Promising Technologies for R&D besed on Time-series Patent Analysis”, Journal of Intelligence and Information Systems, 18(3) : 79-96.
  • Lee, H., Kim, C., Cho, H. and Park, Y.(2009), An ANP-based technology network for identification of core technologies: A case of telecommunication technologies, Expert Systems with Applications, 36(1), 894-908.
  • Lee, H.(2014), Uncovering the multidisciplinary nature of technology management: journal citation network analysis, Scientometrics, in press.
  • Lee, C., Jeon, J. and Y. Park(2011), Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach, Technological Forecasting & Social Change, 78(4), 690-702.
  • Lanjouw, J. O., and Schankerman, M. 2004. "Patent quality and research productivity: measuring innovation with multiple indicators". The Economic Journal, 114(495): 441-465.
  • Kronz H. and GrevinkH.(1980), Patent Statistics as Indicators of Technological and Commercial Trends in the Member States of the European Communities (EEC), World Patent Inf., 2(1), 4-12.
  • Kostoff, R. N., Eberhart, H. and Toothman, D.(1998), Database tomography for technical intelligence: a roadmap of the near-earth space science and technology literature, Information Processing and Management, 34(1), 69-85.
  • Kodama, F., 1995, Emerging Patterns of Innovation: Sources of Japan’s Technological Edge, Boston: Harvard Business School Press.
  • Kodama, F.(1991), Analyzing Japanese High Technologies: The Techno Paradigm Shift, London: Pinter Publishers.
  • Ko, N., Yoon, J. and Seo, W.(2014), Analyzing interdisciplinarity of technology fusion using knowledge flows of patents, Expert Systems with Applications, 41, 1955-1963.
  • Kihoon SungㆍHee-Kyung KongㆍTaehan Kim(2013), Convergence indicator: the case of cloud computing, J Supercomput, 65, 27-37.
  • Karvonen, M., Lehtovaara, M. and Kassi, T.(2012), Build-up of understanding of technological convergence: Evidence from printed Intelligence industry, International Journal of Innovation and Technology Management, 9(3), 1250020-1-1250020-24.
  • Karvonen, M., K ssi, T.(2011), Patent analysis for analysing technological convergence, Foresight, 13(5), 34-50.
  • Karvonen, M. and Kassi, T.(2013), Patent citations as a tool for analysing the early stages of convergence, Technological Forecasting and Social Change, 80(6), 1094-1107.
  • Karvonen, M. and Kassi, T.(2012), Patent citations as a tool for analysing the early stages of convergence, Technological Forecasting & Social Change, http://dx.doi.org/10.1016/j.techfore.2012.05.006.
  • Karvonen, M. and K ssi, T.(2011), Patent Citation Analysis as a Tool for Analysing Industry Convergence, Foresight, 13(5), 34-50.
  • Karki, M.(1997), Patent Citation Analysis: A Policy Analysis Tool, World Patent Information, 19(4), 269-272.
  • Jun, Sunghae and Lee, Seung-Joo(2013), Patent Analysis Using Bayesian Network Models.
  • Johnson, D.K.N.(2002), ‘The OECD Technology Concordance (OTC): Patents by industry of manufacture and sector of use,’ OECD Science, Technology and Industry Working Paper 2002/5, Directorate for Science, Technology and Industry, OECD, Paris, www.oecd.org/sti/working-papers.
  • Jaffe, A. and Trajtenberg, M.(2002), Manuel. Patents, citations and innovations: A window on the knowledge economy, Cambridge, MA: MIT Press.
  • Jaffe, A. and Trajtenberg, M.(1999), International Knowledge Flows: Evidence from Patent Citations', Economics of Innovation of New Technology, 8, 105-136.
  • Jaffe, A. and Trajtenberg, M.(1998), International knowledge flows: evidence from patent citations, National Bureau of Economic Research, Working Paper No.6509.
  • Jacques Michel and Bernd Bettels(2001), Patent citation analysis: A closer look at the basic input data from patent search reports, Scientometrics, 51: 185-201.
  • Isserman, A. M.(1977), The Location Quotient Approach for Estimating Regional Economic Impacts, Journal of the American Institute of Planners, 43, 33-41.
  • ICT산업의 공간적 집적과 영향력 분석
    변세일 경북대학교 박사학위논문 [2007]
  • Horowitz, A. W. and Lai, E. L. C.(1996), Patent length and the rate of innovation, International Economic Review, 37(4), 785-801.
  • Holger, E.(2003), Patent information for strategic technology management, World Patent Information, 25(3), 233–242.
  • Hirschey, M. and Richardson, V. J.(2004), Are Scientific Indicators of Patent Quality Useful to Investors?, Journal of Empirical Finance, 11, 91-107.
  • Hall, B. H., Jaffe, A. and Trajtenberg, M.(2001), The NBER patent citation data file: lessons, insights and methodological tools, NBER Working Paper No. 8498, Cambridge: National Bureau of Economic Research.
  • Hall, B. H., Jaffe, A. and Trajtenberg, M.(2000), Market Value and Patent Citations : A First Look, NBER Working Paper Series, Cambridge, MA.
  • Hacklin, F.(2008), Management of convergence in innovation: strategies and capabilities for value creation beyond blurring industry boundaries: Contributions to management science, Springer.
  • Hacklin, F. and Wallin, M. W.(2013), Convergence and interdisciplinarity in innovation management: a review, critique, and future directions, The Service Industries Journal, 33(7-8), 774-788.
  • Guilford, J. P.(1950), Fundamental statistics in psychology and education, New York: McGraw-Hill.
  • Grupp, H.(1996), Spillover effects and the science base of innovations reconsidered: an empirical approach, Journal of Evolutionary Economics, 6(2), 175-197.
  • Griliches, Z.(1990), Patent Statistics as Economic Indicators: A Survey, Journal of Economic Literature, 28, 1661-1707.
  • Grandstrand, O., Patel, P. and Pavitt, K.(1997), Multi-Technology Corporations: Why They have 'Distributed' rather than 'Distinctive Core' competencies, California Management Review, 39, 8-25.
  • Geum, Y., Kim, C., Lee, S. and Kim, M. S.(2012), Technological convergence of IT and BT: evidence from patent analysis, ETRI Journal, 34(3), 439-449.
  • Gelsing, L.(1992), Innovation and the development of industrial networks, in B.-A. Lundvall (ed.), National Systems of Innovation, Pinter, London, 116-128.
  • Furman, J. L., Porter, M. E. and Stern S.(2002), The determinants of national innovative capacity, Research Policy, 31, 899-933.
  • Fang-Mei, Chih-Hung Hsieh, Ya-Ni Peng and Yi-Wei Chu(2011), Using patent data to analyze trends and the technological strategies of the amorphous silicon thin-film solar cell industry, Technological Forecasting & Social Change, 78(2), 332-345.
  • Fai, F. and von Tunzelmann, N.(2001), Industry-specific competencies and converging technological systems: evidence from patents. Structural Change and Economic Dynamics, 12(2), 141-170.
  • Euiseok Kim, Yongrae Cho, Wonjoon Kim(2014), Dynamic patterns of technological convergence in printed electronics technologies: patent citation network, Scientometrics, 98, 975-998.
  • Ernst, H.(2003), Patent information for strategic technology management, World Patent Information, 25(3), 233-242.
  • Ernst, H.(1995), Patenting Strategies in the German Mechanical Engineering Industry and Their Relationship to Company Performance, Technovation, 15(4), 225-240.
  • Englesman, E. C. and van Raan A. F. J.(1994), A patent-based cartography of technology, Research Policy, 23, 1-26.
  • Engelsman, E. C. and van Raan, A. F.(1991), Mapping of technology: Afirst exploration of knowledge diffusion amongst fields of technology, 15, Centre for Science and Technology Studies, University of Leiden.
  • Engelsman E. C. and van Raan A. F. J.(1992), A patent-based cartography of technology, Research Policy, 23, 1-26.
  • Eerden, C. and Saelens, F. H.(1991), The Use of Science and Technology Indicators in Strategic Planning, 24(3), 18-25.
  • Dutta, S. and Weiss, A. M.(1997. The relationship between a firm's level of technological innovativeness and its pattern of partnership agreements, Management Science, 43(3), 343-356.
  • Dror, I.(1989), Technology innovation indicators, R&D Management, 19(3), 243-249.
  • Ding, Y., Chowdhury, G. G. and Foo, S.(2001), Bibliometirc cartography of information retrieval research by using co-word analysis, Information Processing and Management, 37, 801-817.
  • DTI(Department of Trade and Industry, UK)(2001), Business Clusters in the UK: A First Assessment, Cluster Mapping Report.
  • Curran, C.-S., Broring, S. and Leker, J.(2010), Anticipating converging industries using publicly available data, Technological Forecasting and Social Change, 77(3), 385-395.
  • Curran, C. S., and Leker, J.(2011), Patent indicators for monitoring convergence - examples from NFF and ICT, Technological Forecasting and Social Change, 78(2), 256-273.
  • Chesbrough, H.(2003), Open Innovation: The New Imperative for Creating and Profiting from Technology, Harvard Business School Press, Boston, MA. Comanor, W. S. and F. M. Scherer(1969), Patents Statistics as a Measure of Technology Change, Journal of Political Economy, 77(3), 392-398.
  • Chen, Z. and Guan, J.(2011), Mapping of biotechnology patents of China from 1995 –2008,Scientometrics,88,73-89.
  • Chen, C.(2004), Searching for intellectual turning points: Progressive knowledge domain visualization, Proceedings of the National Academy of Sciences, 101, 5303-5310.
  • Chen(2006), Introduction Visualization: Beyond the Horizon, London: Springer. Chen, C. and Paul, R. J. (2001), Visualizing a knowledge domain's intellectual structure, Computer, 34(3), 65-71.
  • Chang, P. L., Wu, C. C. and Leu, H. J.(2010), Using Patent analyses to monitor the technological trends in an emerging field of technology: a case of carbon nanotube field emission display, Scientometrics, 82(1), 5-19.
  • Cantwell, J.(1993), Transnational Corporations and Innovatory Activities, London, Routledge.
  • Callon, M., Courtial, J. P. and Laville, F.(1991), Co-word analysis as a tool for describing the network of interactions between basic and technological research: the case of polymer chemistry, Scientometrics, 22(1), 155-205.
  • Bronwyn H. Hall, Zvi Griliches and Jerry A. Hausman(1986), Patents and R&D: Is there a lag?, International Economic Review, 27(2), 265-283.
  • Brockhoff, K. K.(1992), Instruments for Patent Data Analysis in Business Firms, Technovation, 12(1), 41-58.
  • Breschi, S., Lissoni, F. and Malerba, F.(1998), 'Knowledge proximity and firms' technological diversification, mimeo, CESPRI, University of Bocconi, Milan.
  • Brass, D. J., Galaskiewicz, J., Greve, H. R. and Tsai, W.(2004), Taking stock of networks and organizations: a multilevel perspective, Academy of Management Journal, 47(6), 795-817.
  • Braam, R. R., Moed, H. F. and van Raan, A. F. J.(1991), Mapping of science by combined co-citation and word analysis, I: Structural aspects, Journal of the america society for information science(JASIS), 42(4), 233-251.
  • Bosworth, D. L.(1984), Foreign patent flows to and from the United Kingdom, Research Policy, 13, 115-124.
  • Boschma, R. A. and Frenken, K.(2007), Introduction: Applications of evolutionary economic geography, en FRENKEN, K. (2007): Applied Evolutionary Economics and Economic Geography, Cheltenham, Edward Elgar Publishing, 1-26.
  • Borgatti, S. P.(2005), Centrality and network flow, Social Networks, 27, 55-71.
  • Bigwood, M. P.(1997), Patent trend analysis: incorporate current year data, World Patent Information, 19(4), 243-249.
  • Bernd Wolter(2012), It takes all kinds to make a world e Some thoughts on the use of classification in patent searching, World Patent Information, 34, 8-18.
  • Bergeron, S., Lallich, S. and Le Bas, C.(1998), Location of innovating activities, industrial structure and techno-industrial clusters in the French economy, 1985-1990: Evidence from US patenting, Research Policy, 26, 733-751.
  • Basberg, B. L.(1987), Patents and the measurement of technological change: A survey of the literature, Research Policy, 16, 131-141.
  • Barney, J. A.(2001), Comparative patent quality analysis: a statistical approach for rating and valuing patent assets, Technical report.
  • Athreye, S. and Keeble, D.(2000), Technological convergence, globalisation and ownership in the UK computer industry, Technovation, 20(5), 227-245.
  • Ashton, W. B and Sen, R. K.(1988), Using Patent Information in Technology Business Planning-I, Research Technology Management, Nov/Dec. 1988, 42-46.
  • Ali Uzun.(2006), Science and technology policy in Turkey. National strategies for innovation and change during the 1983-2003 period and beyond, Scientometrics, Vol.66 No.3, 551-559.