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研究生:巫胤璇
研究生(外文):Yin-Hsuan Wu
論文名稱:美國爭端專利競爭市場之特徵分析
論文名稱(外文):Characterizing disputed patent in the US patent competition market
指導教授:蘇信寧蘇信寧引用關係
指導教授(外文):Hsin-Ning Su
口試委員:蔡千姿許舜喨
口試日期:2013-06-13
學位類別:碩士
校院名稱:國立中興大學
系所名稱:科技管理研究所
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:英文
論文頁數:72
中文關鍵詞:專利美國貿易委員會跨國專利爭端專利訴訟專利侵權
外文關鍵詞:PatentInternational Trade CommissionCross-Border Patent InfringementPatent LitigationPatent Dispute
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專利在智慧財產權中是一項極為重要的資產,並在全球知識經濟時代扮演極為重要的角色。專利保護發明人的技術知識,隨著知識經濟發展迅速,專利爭端成為一個無法避免的法律過程,而專利訴訟則是一項需依靠昂貴資金來解決爭端的方式,因此,被訴訟的專利相較於非訴訟專利則被評定具有較高的價值。

美國在世界中為一個重要的經濟市場,反應出多個國家在美國申請專利,以保護相關產品在美國市場發展的權益,產生之專利爭端為訴訟專利與非訴訟專利。其二則是透過國際貿易進口產品至美國而產生專利爭端事件,為ITC專利與非ITC專利。本研究下載1976至2012年所有專利,比較訴訟專利以及非訴訟專利之特徵,以及ITC專利與非ITC專利之特徵差異,並且比較兩種爭端專利的特徵差異。

本研究透過幾個層次分析爭端專利之特徵差異:(1)分析顯著影響專利訴訟之特徵,分析此11項專利特徵屬性,(2) 分析第一所有權人所屬機構類別專利特徵有何差異,(3)不同的專利爭端其產業分類差異(4)分析四項顯著影響訴訟之專利特徵差異“引用文獻”、“被引用文獻”、“權利項”、“外國引用文獻”,(5)將美國境內訴訟與跨境侵權專利分別建立迴歸模型,可用以預測專利遭遇境內訴訟與跨境侵權之機率。

美國專利資料庫於技術發展過程中具有資料完整性、申請國家豐富多元等特性,以此為資料樣本分析、計算之訴訟專利機率,可幫助國家、產業、企業等不同層級、不同申請人評估專利價值、發掘潛在高價值專利、幫助研發決策、評估投資效益等。


Patent is a very important asset in intellectual property rights that play a very important role in the global knowledge economy. Patents protects technology knowledge for inventors, along with the rapid development of the knowledge economy, patent disputed become an unavoidable legal process. Patent litigation need to rely on expensive funds to resolve the disputed. Therefore, litigated patents are assessed to have high value that it is higher than non-litigated patent.

The United States is an important economic market in the world that reflecting many countries applied patent in the U.S. for protection their product development of patent right in the U.S. market. It casus patent disputes as litigated patent and non-litigated patent. On the other hand, patent disputed happened from import product in international trade that the patent disputes is ITC patent and non-ITC patent. In this study, downloaded utility patent from 1976 to 2012 all patents and compared characteristics between litigated patent and non-litigated patent, ITC patent and non-ITC patent, litigated patent and ITC patent.

This study analyze characteristic differences of disputed patent for several levels: (1) to analyze influencing of 11 significant characteristics for patent, (2) to analyze differences of patent characteristic for different assignee types, (3) to analyze differences of industrial classification, (4) to analyze differences of four significant influencing for patent litigation: “Reference”, “Patent Received”, “Claim”, “Foreign Patent”, (5) to calculate the regression model for litigated patent and ITC patent that the model can be used to predict litigation probability.

U.S. patent database on the technical development process has data integrity, rich and diverse applying countries. This research analyze sample and calculate litigation probability of patent. It can help levels of countries, industries and enterprises and assignee types to assess patent value, identify potential high-value patent, help decision-making for R&D, evaluate investment effectiveness etc.


Table of Content
I.Introduction .............................................................................. 1
II.Research Background ............................................................... 2
III.Literature Review ..................................................................... 6
IV.Research Gap .......................................................................... 9
V.Research Method .................................................................... 10
1.Patent Resources ................................................................... 10
1.1.Litigated Patent and Non-litigated Patent ............................ 11
1.2.ITC Patent and Non-ITC Patent ............................................ 11
1.3.Dual Rules of Patent ............................................................ 12
2.Research Analysis ................................................................... 13
3.Research Flow Chart ............................................................... 16
VI.Research Results ................................................................... 17
1.Patent Assignee Types and Patent Distribution ....................... 19
2.Patent Assignee Types and Patent Characteristics Analysis ..... 21
3.Industry types and basic statistics of disputed patent ............. 26
4.Average Trend of Four Characteristics from 1976 to 2012:....30
5.Regression Model of Patent Litigation Probability ................... 38
VII.Discussion and Conclusion ................................................... 42
VIII.Reference ............................................................................ 47

Agliardi, E., & Agliardi, R. (2011). An application of fuzzy methods to evaluate a patent under the chance of litigation. Expert Systems with Applications, 38(10), 13143–13148.
Allison, J., Lemley, M., & Walker, J. (2009). Extreme Value or Trolls on Top? The Characteristics of the Most-Litigated Patents. University of Pennsylvania Law Review, 158(1), 1–37.
Allison, J. R., Lemley, M. A., Moore, K. A., & Trunkey, R. D. (2004). Valuable patents. Georgetown Law Journal, 92(3), 435.
Chien, C. V. (2011). Predicting Patent Litigation. Texas Law Review, 90(2), 283–329.
Chih-Cheng Lo. (2006). Cross-border trade-relevant patent dispute: Taiwanese cases in the United States Section 337 investigations.
Cook, J. P. (2007). On understanding the increase in us patent litigation. American Law and Economics Review, 9(1), 48.
Ernst, H., & Omland, N. (2011). The Patent Asset Index – A new approach to benchmark patent portfolios. World Patent Information, 33(1), 34–41.
Hahn, R., & Singer, H. (2007). The political spectrum. AEI-Brookings Joint Centre Policy Matters June 07-19. Retrieved from http://www.aei-brookings.org/policy/page.php?id=292
Hall, B. H., Jaffe, A., & Trajtenberg, M. (2005). Market value and patent citations. Rand Journal of Economics, 16–38.
Hall, Bronwyn H., Jaffe, A. B., & Trajtenberg, M. (2000). Market Value and Patent Citations: A First Look (Working Paper No. 7741). National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w7741
Marco, A. C. (2005). The option value of patent litigation: Theory and evidence. Review of Financial Economics, 14(3-4), 323–351.
Maskus, K. E., & Penubarti, M. (1995). How trade-related are intellectual property rights? Journal of International Economics, 39(3–4), 227–248.
Quintane, E., Casselman, R. M., Reiche, B. S., & Nylund, P. A. (2011). Innovation as a knowledge-based outcome. Journal of Knowledge Management, 15(6), 928–947.
Smith, P. J. (1999). Are weak patent rights a barrier to U.S. exports? Journal of International Economics, 48(1), 151–177.
Somaya, D. (2002). Strategic determinants of decisions not to settle patent litigation. Strategic Management Journal, 24(1), 17–38.
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Zhang, X., Fang, S., Tang, C., Xiao, G. H., Hu, Z. Y., & Gao, L. D. (2009, July 14). Study on indicator system for core patent documents evaluation. Presented at the 12th International Conference on Scientometrics and Informetrics, Rio de Janeiro, Brazil.
溫英幹〈美國智慧財產權調查制度與實務研究〉, 經濟部貿易調查委員會,頁188,2003年12月。

Regulation:
19 U.S.C. § 1337 : US Code - Section 1337: Unfair practices in import.

Internet references:
Sidley Austin LLP, ITC vs. Internet: Winning the Fight to Protect IP Rights Against Online Sales of Infringing Imports., http://www.sidley.com/itc-vs-internet-winning-the-fight-to-protect-ip-rights
Untied States International Trade Commission,USITC, http://www.usitc.gov/
USITC, 337 Investigation, website: http://info.usitc.gov/ouii/public/337inv.nsf/All?OpenView

Other references:
LitAlert. (2010). Westlaw Database Directory. Retrieved from http://directory.westlaw.com/scope/default.asp?db=LITALERT&RS=W&VR=2.0


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