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題名:建構半導體代工業專利分類支援系統:專利共同引用分析的觀點
作者:吳曉君 引用關係
作者(外文):Shiao-Jun Wu
校院名稱:國立雲林科技大學
系所名稱:管理研究所博士班
指導教授:賴奎魁
學位類別:博士
出版日期:2003
主題關鍵詞:分類專利分析共同引用patent analysisco-citationclassification
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(6) 博士論文(1) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:6
  • 共同引用共同引用:0
  • 點閱點閱:44
IPC或UPC是各國專利局使用的專利分類系統。由於IPC或UPC是產業通用的分類系統,以分類結果進行產業專利分析時,分析結果無法有效的為企業進行研發規劃、技術定位、專利策略的制定等管理工作。因此,配合產業技術特性,發展產業專用的專利分類系統是專利管理的基本課題。本研究提出的專利共同引証分析(Patent Co-Citation Approach, PCA)是使用書目計量學文獻分析的技巧,以定義專利分類系統的方法論。分析過程分三階段進行:第一階段,依研究對象及研究目的選擇合適的專利資料庫以檢索專利,並篩選基礎專利。第二階段,以基礎專利對共同被引証的次數衡量基礎專利的相似性。第三階段,採用因素分析定義分類系統並評估分類系統的分類績效。
對半導體代工業進行PCA的實証分析,並比較IPC、UPC、PCA三種分類系統的差異。研究結果發現,PCA提供的技術資訊較另外二個分類系統豐富,對於專利分析、專利資訊管理、專利分析、專利佈署四個專利管理的階段,亦提供了具體的協助。
The paper proposes a new approach to create a patent classification system to replace the IPC or UPC system for conducting patent analysis and management. The new approach is based on co-citation analysis of bibliometrics. The traditional approach for management of patents, which is based on either the IPC or UPC, is too general to meet the needs of specific industries. In addition, some patents are placed in incorrect categories, making it difficult for enterprises to carry out R&D planning, technology positioning, patent strategy-making and technology forecasting. Therefore, it is essential to develop a patent classification system that is adaptive to the characteristics of a specific industry. The analysis of this approach is divided into 3 phases. Phase I selects appropriate databases to conduct patent searches according to the subject and objective of this study and then select basic patents. Phase II uses the co-cited frequency of the basic patent pairs to assess their similarity. Phase III uses factor analysis to establish a classification system and assess the efficiency of the proposed approach. The main contribution of this approach is to develop a patent classification system based on patent similarities to assist patent manager in understanding the basic patents for a specific industry, the relationships among categories of technologies and the evolution of a technology category. PCA can provide rich information for patent analysis than other classification systems.
1.朱家棟等 (民91),半導體趨勢圖示,台北市:電子時報。
2.黃慕萱、蔣禮芸、陳達仁 (民92),我國高科技業公司專利引用網路之研究-1998年至2000年,科技管理學刊,8(2), 25-44。new window
3.劉尚志、邱咸智 (民96)。產業競爭、科技發展與智財規範:全球競爭時代的台灣經驗,1997全國智財權研討會。
4.蔡明月 (民92),資訊計量學與文獻特性,台北市:華泰書局。
5.盧志遠,台灣IC產業來時路,http://www.mem.com.tw/m139/m13901.htm (last visited at 2003/09/30)
6.賴奎魁、吳曉君 (民92),台灣半導體製造業公司技術定位之研究 – 使用專利資料,商管科技季刊, (出版中)。new window
7.Adelman, M. J. (1987). The new world of patents created by court of appeals for the federal court. University of Michigan Journal of Law Perform, 20, 979-1007.
8.Akin, L. (1998). Methods for examining small literatures: Explication, physical analysis, and citation patterns. Library and Information Science Research, 20(3), 251-270.
9.Ashton, W. B., & Sen, R. K. (1998). Using patent information in technology business planning-I. Research Technology Management, 42-46.
10.Berkwitz, L. (1993). Getting the most from your patent. Research Technology Management, 26-31.
11.Brockoff, K. K., Ernst, H., & Humdhausen, E. (1999). Gains and pains from licensing-patent portfolios as strategic weapons in the cardiac rhythm management industry. Technovation, 19, 605-614.
12.Cohen, W. M., Nelson R.R., & Walsh, J. P. (2000). Protecting their intellectual assets: appropriability conditions and why U.S. manufacturing firms patent (o not). National Bureau of Economic Research, W7552.
13.Culnan, M. J. (1987). Mapping the intellectual structure of MIS, 1980-1985: a co-citation analysis. MIS Quarterly, 11(3), 341-352.
14.Culnan, M. J., O’Reilly, C. A., & Chatman, J. A. (1990). Intellectual structure of research in organizational behavior, 1972-1984: a co-citation analysis. Journal of American Society for Information Science, 41(6), 453-458.
15.Dimitroff, A., & Arlitsch, K. (1995). Self-citation in library and information science literature. Journal of Documentation, 51(1), 44-56.
16.Eom, S. B. (1996). Mapping the intellectual structure of research in decision support systems through author co-citation analysis (1971-1993). Decision Support System, 16, 315-338.
17.Ernst, H. (1995). Patenting strategies in the German mechanical engineering industry and their relationship to company performance. Technovation, 15(4), 225-240.
18.Ernst, H. (1998). Patent portfolios for strategic R&D planning. Journal of Engineering and Technology Management, 15, 279-308.
19.Everitt, B. (1986). Cluster Analysis. Hampshire: England, Gower Press.
20.Hall, B. H., & Ziedonis, R. H. (2001). The patent paradox revisited: an empirical study of patenting in the U.S. semiconductor industry, 1979-1995. RAND Journal of Economics, 32(1), 101-128.
21.Hall, B. H., Jaffe, A., & Trajtenberg, M. (2000). Market value and Patent citation: A First Look. National Bureau of Economic Research, W7435.
22.Harhoff, D., Narin, F., Scherer, F. M., & Vopel, K. (1999). Citation frequency and the value of patented innovation. The Review of Economics and Statistics, 81(3), 511-515.
23.Hoffman, D. L., & Holbrook, M. B. (1993). The intellectual structure of consumer research: a bibliometrics study of author co-citations in the first 15 years of the journal of consumer research. Journal of Consumer Research, 19, 505-517.
24.Holsapple, C. W., Johnson, L. E., Manakyan, H., & Tanner, J. (1995). An empirical assessment and categorization of journals relevant to DSS research. Decision Support Systems, 14(4), 359-367.
25.Hufker, T., & Alpert, F. (1994). Patents: a managerial perspective. Journal of Product & Brand Management, 3(4), 44-54.
26.Jain, A. K., & Dubbes, R. C. (1988). Algorithms for clustering data. NJ: Prentice-Hall: Englewood Cliffs.
27.Kaiser, H. (1958). The varimax criterion for analytic rotation in factor analysis. Psychmometrika, 23, 187-200.
28.Kessler, M. M. (1963). An experimental study of bibliographic coupling between technical papers. IEEE Transaction on Information Theory, 49.
29.Kortum, S., Lerner, J. (1998). Strong protection of technological revolution : what is behind the recent surge in patenting. Carnegic Rochester Conference Sries on Public Research, 48, 247-304.
30.Lanjouw, J. O., Lerner, J. (1996). Preliminary injunctive rehet theory and revolution from patent litigation. National Bureau of Economic Research, W5689.
31.Lanjouw, J. O., Pakes, A., & Putnam, J. (1996). How to count patents and value intellectual property: uses of patent renewal and application data. National Bureau of Economic Research, W5741.
32.Lawani, S. M. (1977). The professional literature used by American and French agronomists and implications for agronomic education. Journal of Agronomic Education, 6, 41-46.
33.Lawani, S. M. (1982). On the hetergeneity and classification of author self citation. Journal of American Society for Information Science, 33, 281-282.
34.Levin, R., Klevorick, A., Nelson, R. R., & Winter, S. G. (1987). Appropriating the returns from industrial R&D. Brooking Papers on Economic Activity, 783-820.
35.McCain, K. W. (1990). Mapping authors in intellectual space: A technical Overview. Journal of American Society for Information Science, 41(6), 433-443.
36.McCain, K. W. (1991). Mapping economic through the journal literature: an experiment in journal cocitation Analysis. Journal of American Society for Information Science, 42(4), 290-296.
37.Moed, H. F., Vriens, M. (1989). Possible Inaccuracies Occurring in Citation Analysis. Journal of Information Science, 15(2), 95-107.
38.Mogee, M. E. (1991). Using patent data for technology analysis and planning. Research Technology Management, 34(4), 43-50.
39.Mogee, M. E. (1997). Patent analysis methods in support of licensing. Technology Transfer Society Annual Conference.
40.Narin, F. (1995). Patents as indicator for the evaluation of industrial research output. Scientometrics, 34(4), 489-496.
41.Narin, F., Noma, E., & Perry, R. (1987). Patents as indicators of corporate technological strength. Research Policy, 16, 143-155.
42.Narin, F., Olivastro, D., & Steven, K. A. (1994). Bibliometrics - theory, practice and problems. Evaluation Review, 18(1).
43.Nordhaus, W. D. (1969). Invention, Growth, and Welfare, a Theoretical Treatment of Technological Change. Cambridge: MA, MIT Press.
44.Persson, O. (1989). The intellectual base and research fronts of JASIS, 1986-1990. Journal of American Society for Information Science, 45(1), 127-137.
45.Porter, A. L., & Detampel, M. J. (1995). Technology opportunities analysis. Technology Forecasting and Social Change, 49, 237-255.
46.Reitzig, M. (2003). What determines patent value? Insight from the semiconductor industry. Research Policy, 32, 13-26.
47.Sharabchiev, J. T. (1989). Cluster Analysis of Bibliographic References as a Scientometrics Method. Scientometrics, 15, 127-137.
48.Small, H. (1973). Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of American Society for Information Science, 24, 265-269.
49.Small. H., & Sweeney, E. (1985). Clustering the science citation index using co-citation: a comparison of methods. Scientometrics , 7(3-6), 391-409.
50.Stuart, T. B., & Podoly, J. M. (1996). Local Search and the evolution of technological capabilities. Strategic Management Journal, 17, 21-28.
51.Synder, H., & Bonzi, S. (1998). Patterns of self-citation cross discipline (1989-1989). Journal of Information Science, 24(6), 431-435.
52.Tagliacozzo, R. (1977). Self-citation in scientific literature. Journal of Documentation, 33, 251-265.
53.Trajtenberg, M. (1990). A penny for your quotes: patent citations and the value of innovations. RAND Journal of Economics, 21(1), 172-187.
54.USPTO. (2001). Manual of Patent Examining Procedure 8 ed..
55.White, H. D., & Griffith, B. C. (1981). Author co-citation: A literature measure of intellectual structure. Journal of American Society for Information Science, 32, 163-171.
56.http://www.uspto.gov/web/offices/opc/(last visited at 2003/09/30)
57.http://www.wipo.int/classifications/(last visited at 2003/09/30)
 
 
 
 
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