網絡觀點下的專利分析：以科技產業為例

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姓名

王安邦(An-Pang Wang) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

網絡觀點下的專利分析：以科技產業為例
(Patent analysis from the perspective of network: The case study in technology industry)

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摘要(中)

專利分析是一種評估技術演進的方法，若能有效的運用專利分析所提供的資訊，對於企業技術策略的制定能夠產生相當的助益。有別於以往專利指標或專利引證分析，本研究基於網絡的觀點提出了一套具有能夠分析多方專利關聯性以及產業專利佈局的專利分析法。多方專利關聯性的確立讓我們能夠由點至面的角度去觀察特定專利的影響力，而產業專利佈局的觀察讓我們有足夠的資訊去了解現行技術的發展。藉由上述兩個面向的觀察，可以讓決策者清楚的知道需於何種領域，發展可以對產業其他技術產生影響力的專利技術，以增加企業技術發展的機會。本研究主要以小世界網絡及社會網絡兩種類型的網絡觀點來輔助專利的分析，並藉由檢驗RFID、奈米及LCD三個科技產業的專利文獻來驗證本研究所提之方法可行性。在小世界網絡觀點中，本研究檢驗RFID產業的專利引用網絡，並藉此觀察專利網絡結構及專利引用的行為。專利結構與引用行為的觀察，有助於我們對於產業專利間的關聯性進行整體性的觀察。而在社會網絡觀點中，則是以動態及靜態兩個面向進行探討。在動態分析方面，本研究透過觀察奈米產業專利技術的申請，來了解專利技術的演進。而知曉技術演進的歷程可以幫助決策者擬定現在與未來的技術發展方向。而在靜態的分析中，主要是透過既有的LCD專利引用結構去探索關鍵的專利技術，關鍵專利技術的確認將能幫助企業評估自身技術的優勢與劣勢，進而發展合適的技術策略。最後本研究發現我們所提出的專利分析法，不但可以有效的觀察到上述的現象，對於專利資訊的分析也是全面且恰當的。

摘要(英)

Patent analysis is a method to assess the evolution direction of a specific technology, if we can utilize the knowledge revealed by patent analyses more effectively and precisely, it will helps the company to formulate the basis of policy for research and development. Different from the previous studies, we propose a method based on the network view that can analyse the correlation between two or more patents and industrial patent deployment. By identifying the correlation between two or more patents, the influence of these patents will be identified from points to surfaces. Furthermore, the observation of industrial patent deployment provides sufficient information to help us understand the current technology development. By conducting the aforementioned analysis, it will help the policy maker make a patent application that with influence in the appropriate technology field. In this study, we will integrate the small-world network and social network into the patent analysis and take the RFID, Nano and LCD industry as example. From the perspective of small-world network, this study examines the patent citation network of RFID industry to explore the structure of patent networks and the behavior of patent citation. It will provide us a full view and much information for observing the correlation between patents of industry. For a view of dynamic analysis, we investfigate the evolution of patent technology by exploring the patent application of Nano industry. Understanding the evolution of patent technology will help the policy maker make the direction of technology development for current stage and future. From a static point of view, we will identify critical patents in the LCD patent network and the influence of these patents. By identifying the critical patents, we can evaluate advantage and disadvantage of our technology and developing an appropriate technology strategy. According to the results of three cases conducted for this study, the approach proposed demonstrates an appropriate way for analyzing patent information.

關鍵字(中)

★ 專利
★ 專利分析
★ 社會網絡
★ 小世界網絡

關鍵字(英)

★ patent
★ patent analysis
★ social networks
★ mall-world networks

論文目次

摘要 i
Abstract ii
誌謝 iii
Table of Contents iv
List of Tables vi
List of Figures vii
Chapter 1 Introduction 1
Chapter 2 Literature Review 3
2.1 Patent Analysis 3
2.2 Social network 6
2.3 Small-World Networks 9
Chapter 3 Research Methodology 14
3.1 Framework of the study 14
3.2 Definition of Terms 16
3.2.1 Group degree centrality 16
3.2.2 Degree centrality 16
3.2.3 Betweenness centrality 17
3.2.4 Clustering coefficient 18
3.2.5 Characteristic path length 18
Chapter 4 Case study and Results 20
4.1 Case 1: Nano industry 20
4.1.1 The background of case 20
4.1.2 Research design and data collection 21
4.1.3 The result of case 23
4.1.3.1 Patent network analysis 23
4.1.3.2 Network concentration analysis 31
4.2 Case 2: Liquid crystal display industry 33
4.2.1 The background of case 33
4.2.2 Research design and data collection 33
4.2.3 The result of case 35
4.2.3.1 Network structure analysis 35
4.2.3.2 Betweenness centrality analysis 35
4.3 Case 3: Radio frequency identification industry 39
4.3.1 The background of case 39
4.3.2 Research design and data collection 40
4.3.3 The result of case 41
4.3.3.1 Small world characteristic of the patent citation network 41
4.3.3.2 Patent citation growth pattern 45
Chapter 5: Discussion and Conclusions 47
5.1 Conclusion of case 1 47
5.2 Conclusion of case 2 48
5.3 Conclusion of case 3 49
5.4 Discussion 49
Reference 52

參考文獻

1. Albert, R., Jeong, H. and Albert, L. B. (1999), “Diameter of the World-Wide Web,” Nature, 401, 130-131.
2. Albert, G. Z. H. and Adam, B. J. (2003), “Patent Citation and International Knowledge Flow: the Case of Korea and Taiwan,” International Journal of Industrial Organization, 21(6), 849-880.
3. Abraham, B. P. and Moitra, S. D. (2001), “Innovation assessment through patent analysis,” Technovation, 21(4), 245-252.
4. Almeida, P. (1996), “Knowledge sourcing by foreign multinationals: patent citation analysis in the US semiconductor industry,” Strategic Management Journal, 17 (winter), 155-165.
5. Asif, A. and Mandviwalla, M. (2005), “Integrating the supply chain with RFID: a technical and business analysis,” Communications of the Association for Information Systems, 15(24), 393-427.
6. Ashton, W. B. and Sen, R. K. (1988), “Using patent information in technology Business Planning-Ι,” Research Technology Management 31(6), 42-46.
7. Bachmann, G. (1998), Innovationsschub Aus Dem Nanokosmos.Technologieanalyse, Düsseldorf: VDI Technologiezentrum.
8. Barceló, J. M., Nieto-Hipólito, J. I. and García-Vidal, J. (2004), “Study of internet autonomous system interconnectivity from BGP routing tables,” Computer Networks-The International Journal of Computer and telecommunications Networking, 45(3), 333-344.
9. Barabási A. L., Jeong, H., Ravasz, E., Néda, Z., Schubert, A. and Vicsek, T. (2002), “Evolution of the Social Network of Scientific Collaborations,” Physica A, 311, 590-614.
10. Baum, J. A. C., Shipilov, A. V. and Rowley, T. J. (2003), “Where do small worlds come from?,” Industrial and Corporate Change, 12(4), 697-725.
11. Basberg, B. L. (1987), “Patents and the measurement of technological change: a survey of the literature,” Research Policy, 16, 131-141.
12. Barabási, A. L. and Albert, R. (1999), “Emergence of scaling in random Networks,” Science, 286, 509-512.
13. Barabási, A. L., Albert, R. and Jeong, H. (1999), “Mean-field theory for scale-free random networks,” Physica A, 72, 173-187.
14. Bart, V. and Geert, D. (2004), “The small worlds of strategic technology alliances,” Technovation, 24(7), 563-571.
15. Berkowitz, L. (1993), “Getting the most from your patents,” Research Technology Management, 36(2), 26-31.
16. Bernd, F., Holger, E., Jens, L. and Martin, K. (2006), “Patent portfolio analysis as a useful tool for identifying R&D and business opportunities—An empirical application in the nutrition and health industry,” World Patent Information, 28, 215-225.
17. Breschi, s. and Lissoni, F. (2009), “Mobility of skilled workers and co-invention networks: an anatomy of localized knowledge flows,” Journal of Economic Geography, 9(4), 439-468.
18. Burt, R. S. (1992), Structural Holes: The social structure of competition. Harvard University Press, Cambridge MA.
19. Chetty, S. and Holm, D. B. (2000), “Internationalisation of small to medium-sized manufacturing firms: a network approach,” International Business Review, 9(1), 77-93.
20. Choi, C. and Park, Y. (2009), “Monitoring the organic structure of technology based on the patent development paths,” Tchnological Forecasting and Social Change, 76(6), 754-768.
21. Constant, D., Lee, S. and Sara, K. (1996), “The kindness of strangers: the usefulness of electronic weak ties for technical advice,” Organization Science, 7(2), 119-135.
22. Conyon, M. J. and Muldoon, M. R. (2006), “The small world of corporate boards,” Journal of Business Finance & Accounting, 33(9-10), 1321-1343.
23. Davis, G. F., Yoo, M. and Baker, W. E. (2003), “The small world of the corporate elite 1982-2001,” Strategic Organization, 1, 301-326.
24. Dosi, G. (1982), “Technological Paradigms and Technological Trajectories,” Research Policy, 11, pp. 147-162.
25. Emerson, R. (1981), “Social Exchange Theory”, Social Psychology: Sociological Perspectives, edited by M. Rosenberg and R. H. Turner. New York.
26. Ernst, H. (1997), “The use of patent data for technological forecasting: the diffusion of CNC-technology in the machine tool industry,” Small Business Economics, 9, 361-381.
27. Ernst, H. (2003), “Patent information for strategic technology management,” World Patent Information, 25, 233-242.
28. Fligstein, N. (1996), “Markets as politics: A political-cultural approach to market institutions,” American Sociological Review, 61, 656-673.
29. Freeman, L. C. (1977), “A set of measures of centrality based on betweenness,” Sociometry, 40 (1), 35-41.
30. Fontana, R., Nuvolari, A. and Verspagen, B. (2009), “Mapping technological trajectories as patent citation networks. an application to data communication Ssandards,” Economics of Innovation and New Technology, 18(4), 311-336.
31. Fung, M. K., Chow, W. W. (2002), “Measuring The Intensity of Knowledge Flow With Patent Statistics,” Economics Letters, 74(3), 353-358.
32. Giovanni, P. (2005), “Determinants of knowledge flows and their effect on innovation,” The Review of Economics and Statistics, 87(2), 308–322.
33. Guellec, D. and Pottelsberghe de la Potterie, B. V. (2000), “Applications, grants and the value of patent,” Economics Letters, 69(1), 109-114.
34. Granovetter, M. S. (1973), “The strength of weak ties,” American Journal of Sociology, 78(6), 1360-1380.
35. Hagedoorn, J. (1995), “A note on international market leaders and networks of strategic technology partnering,” Strategic Management Journal, 16, 241-250.
36. Haythornthwaite, C. (1996), “Social network analysis: an approach and technique for the study of information exchange,” Library and Information Science Research, 18(4), 323-342.
37. Hu, A. G. Z. and Jaffe, A. B. (2003), “Patent citation and international knowledge flow: the case of Korea and Taiwan,” International Journal of Industrial Organization, 21, 849-880.
38. Iyer, B., Lee, C. H. and Venkatraman, N. (2006), “Managing in a "small world ecosystem": lessons from the software sector,” California Management Review, 48(3), 27-47.
39. Jaeger, P. T. and Thompson, K. M. (2004), “Social information behavior and the democratic process: Information poverty, normative behavior, and electronic government in the United States,” Library & Information Science Research, 26(1), 94-107.
40. Jaffe, A. B. (1989), “Real Effects of Academic Research,” American Economic Review, 79(5), 957-970.
41. Jaffe, A. B., Trajtenberg, M. and Henderson, R. (1993), “Geographic localization of knowledge spillovers as evidenced by patent citations,” Quarterly Journal of Economics, 108(3), 577–598.
42. Jaffe, A., Trajtenberg, M. and Fogarty, M. (2000), “Knowledge spillovers and patent citations: evidence from a survey of inventors,” American Economic Review, 90(2), 215-218.
43. Jin, S., Bestavros, A. (2006), “Small-world characteristics of Internet topologies and implications on multicast scaling,” Computer Networks, 50(5), 648-666.
44. Joel, A. C. B., Timothy, J. R. and Andrew, V. S. (2004), “The small world of Canadian capital markets: Statistical mechanics of investment bank syndicate networks 1952-1989,” Canadian Journal of Administrative Sciences, 21(4), 307-325.
45. Jun, T., Kim, J.Y., Kim, B.J. and Choi, M.Y. (2006), “Consumer referral in a small world network,” Social Networks, 28(3), 232-246.
46. Kajikawa, Y., Takeda, Y., Matsushima, K. (2010),“Computer-assisted roadmapping: a case study in energy research,” Foresight, 12(2), 4-15.
47. Karki, M. M. S. (1997), “Patent citation analysis: a policy analysis tool,” World Patent Information, 19(4), 269-272.
48. Knoke, D. and Kuklinski, J. (1982), Network analysis, Sage press, Los Angeles.
49. Kogut, B. and Walker, G. (2001), “The small world of Germany and the durability of national networks,” American Sociological Review, 66(3), 317-335.
50. Lai, K. K., Lin, M. L. and Chang, S. M. (2006), “Research trends on patent analysis: An analysis of the research published in library’’s electronic databases,” Journal of American Academy of Business, 8(2), 248-253.
51. Levin, D. Z., Rob. C. (2004), “The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer,” Management Science, 50(11), 1477-1490.
52. Lee. S., Seol, H. and Park, Y. (2008), “Using Patent Information for Designing New Product and Technology: Keyword-Based Technology Roadmapping”, R&D Management, 38(2), pp. 166-188.
53. Leydesdorff, L. (2007), “Betweenness centrality as an indicator of the interdisciplinarity of scientific journals,” Journal of American Society for Information Science and Technology, 58(9), 1303-1319.
54. Li, Y. T, Huang, M. H., D. Z. (2011) “Semiconductor industry value chain: characters’’ technology evolution,” Industrial Management & Data Systems, 111(3), 370-390.
55. Liljeros, F., Edling, C. R., Amaral, L. A. N., Stanley, H. E. and Aberg, Y. (2001), “The web of human sexual contacts,” Nature, 411, 907-908.
56. Lin. J., DiCuccio, M., Grigoryan, V. and Wilbur, W. J. (2008), “Navigating information spaces: a case study of related article search in PubMed,” Information Processing & Management, 44(5), 1771-1783.
57. Liu, S. and Shyu, J. (1997), “Strategic Planning for Technology Development with Patent Analysis,” International Journal of Technology Management, 13(5/6), 661-680.
58. Maurseth, P. B. and Verspagen, B. (2002), “Knowledge spillovers in Europe: a patent citation analysis,” Scandinavian Journal of Economics, 104(4), 531-545.
59. McKelvey, M. D. (1996), Evolutionary Innovations: The Business of Biotechnology, Oxford: Oxford University Presee.
60. Milgram, S. (1967), “The Small world problem,” Psychology Today, 2, 60-67.
61. Mina. A., Ramlogan. R., G. and Tampubolon, J. S. (2007), “Metcalfe, mapping evolutionary trajectories: applications to the growth and transformation of medical knowledge,” Research Policy, 36(5), 789-806.
62. Mogee, M. E. (1991), “Using patent data for technology analysis and planning,” Research Technology Management, 34(4), 43-49.
63. Morlacchi, P., Wilkinson, I. F. and Young, L. C. (2005), “Social networks of researchers in B2B marketing: a case study of the IMP group 1984-1999,” Journal of Business-To-Business Marketing, 12(1), 3-34.
64. Moshinsky, B. (2005), “Business voices patent quality concerns,” Managing Intellectual Property, 153, 14
65. Mowery, D. C., Oxley, J. E. and Silverman, B. S. (1996), “Strategic alliances and interfirm knowledge transfer,” Strategic Management Journal, 17(winter), 77-91.
66. Narin, F. and Noma, E. (1987), “Patent as indicators of corporate technological strength,” Research Policy, 16(3), 143-155.
67. Narin, F. (1995), “Patents as Indicators for The Evaluation of Industrial Research Output,” Scientometrics, 34(3), 489-496.
68. Nerur, S. P., Sikora, R., Mangalaraj, G. and Balijepally, V. (2005), “Assessing the relative influence of journals in a citation network,” Communications of the ACM, 48(11), 71-74.
69. Otte, E. and Rousseau, R. (2002), “Social network anlaysis: a powerful strategy, also for the information sciences,” Journal of Information Science, 28(6), 441-453.
70. Pavitt, K. (1985), “Patent statistics as indicators of innovative activities: possibilities and problems,” Scientometrics, 7, 77-99.
71. Penner-Hahn, J. and Shaver, J. M. (2005), “Does international research and development increase patent output? an analysis of Japanese pharmaceutical firms,” Strategic Management Journal, 26(2), 121-140.
72. Phene, A., Fladmoe-Lindquist, K. and Marsh, L. (2006), “Breakthrough innovations in the US biotechnology industry: the effects of technological space and geographic origin,” Strategic Management Journal, 27(4), 369-388.
73. Pilkington, A. and Meredith, J. (2009), “The evolution of the intellectual structure of operations management-1980–2006: a citation/co-citation analysis,” Journal of Operations Management, 27, 185-202.
74. Podolny, J. M., Stuart, T. E. and Hannan, M.T. (1996), “Networks, knowledge, and niches: competition in the worldwide semiconductor Industry, 1984-1991,” American Journal of Sociology, 102(3), 659-689.
75. Rajeswari, A. R. (1996), “Indian patent statistics- an analysis,” Scientometrics, 36(1), 109-130.
76. Redner, S. (1998), “How popular is your paper? An empirical study of the citation distribution,” The European Physical Journal B, 4(2), 131-134.
77. Roco, M. C. (2007), National Nanotechnology Initiative-Past, Present, Future, Handbook on Nanoscience, Engineering and Technology, Taylor and Francis, pages 3.1-3.26.
78. Scherer, F. M. (1965), “Firm size, market structure, opportunity and the output of patented inventions,” American Economic Review, 55(5), 1097-1125.
79. Schumpeter, J. A. (1942), “Capitalism. Socialism and Democracy”, New York: Harper & Row.
80. Shapira, P.and Youtie, J. (2010), Encyclopedia of Nanotechnology and Society, Sage press, New York.
81. Stanley, W. and Katherine, F. (1994), Social Network Analysis Methods and Applications. Cambridge University Press, New York.
82. Stark, D. and Vedres, B. (2006), “Social times of network spaces: network sequences and foreign investment in Hungary,” American Journal of Sociology, 111(5), 1367-1411.
83. Stuart, T. E. and Podolny, J. M. (1996), “Local search and the evolution of technological capabilities,” Strategic Management Journal, 17, 21-38.
84. Teece, D. J., (1996), “Firm Organization, Industrial Structure and Technological Innovation,” Journal of Economic Behavior and Organization, 31(2), 193-224.
85. 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(1), 35-54.
86. Tsuji, Y. S. (2001). A Methodological study of patent statistics for technoeconomic analysis- An approach to the patentometrics. Ph.D. Dissertation, Tokyo Institute of Technology, p13
87. Uzzi, B. and Spiro, J. (2005), “Collaboration and creativity: the small world problem,” American Journal of Sociology, 111(2), 447-504.
88. Wang, J. C. and Chen, C. L. (2004), “An automated tool for managing interactions in virtual communities-using social network analysis approach,” Journal of Organizational Computing and Electronic Commerce, 14(1), 1-26.
89. Watts, D. J. and Strogatz, S. H. (1998), “Collective dynamics of ‘small-world’ networks,” Nature, 393, 440-442.
90. Watts, D. J. (1999), “Networks, dynamics, and the small-world phenomenon,” American Journal of Sociology, 105(2), 493-527.
91. Wong, S. S. (2008), “Task knowledge overlap and knowledge variety: the role of advice network structures and impact on group effectiveness,” Journal of Organizational Behavior, 29, 591-614.
92. Xiaoming, L., Johan, B., Michael, L. N. and Herbert, V. D. S. (2005), “Co-authorship networks in the digital library research community,” Information Processing & Management, 41(6), 1462-1480.
93. Huang, Z., Chen, H., Yip, A., Ng, G., Guo, F., Chen, Z.K. and Roco, M.C. (2003), “Longitudinal patent analysis for nanoscale science and engineering: Country, institution and technology field” Journal of Nanoparticle Research, 5, 333-363.
94. Zhou, P., Su, X. and Leydesdorff, L. (2010), “A comparative study on communication structures of Chinese journals in the social sciences,” Journal of the American Society for Information Science and Technology, 61(7), 1360-1376

指導教授

洪秀婉(Shiu-Wan Hung)

審核日期

2012-1-10

推文