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研究生:黃嘉玲
研究生(外文):Chia-Ling Huang
論文名稱:發明人數、專利範疇、專利活動年期對公司績效之影響 ─ 以美國製藥業為例
論文名稱(外文):The Influences of Number of Inventors, Patent Scope, and Activity Year of Patent upon Corporate Performance in American Pharmaceutical Industry
指導教授:陳宥杉陳宥杉引用關係
指導教授(外文):Yu-Shan Chen
口試委員:陳重光張敬珣
口試委員(外文):Chung-Kuang ChenChing-Hsun Chang
口試日期:2013-06-04
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:企業管理學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:53
中文關鍵詞:發明人數、專利範疇、專利活動年期、美國製藥業
外文關鍵詞:Number of inventors, Patent scope, Activity year of patent, American Pharmaceutical industry
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本研究以專利分析探討美國製藥業產業的公司績效,並以倒傳遞類神經網絡以及自我組織映射網路的方式進行分析,探討發明人數、專利範疇及專利活動年期對公司績效的影響,專利分析的資訊來源為美國專利商標局(USPTO),而財務資料則來自COMPUSTATE。研究結果發現,發明人數對公司績效的影響呈現正向的影響,此外專利範疇對公司績效也是正向影響,最後專利活動年期對公司績效同樣具有正向的影響。因此本研究建議美國製藥公司應積極匯聚優秀發明人才以培養競爭優勢,定期評估其所耗費的資源是否得到最適的配置,並且持續將資源投入在研發新藥並取得專利,以求讓公司績效更加提升。
This study uses patent analysis to explore the corporate performance of the American Pharmaceutical industry by use of back-propagation network (BPN) of artificial neural network (ANN) and Self-Organizing Map (SOM). Besides, this paper explores the influence of number of inventors, patent scope, and activity year of patent upon the corporate performance. The patent data are collected from United States Patent and Trademark Office (USPTO), and financial data are collected from the database of COMPUSTAT. We find that number of inventors has a positive effect on corporate performance, while patent scope and activity year of patent also have positive effect on it. Based on our findings, we suggest that the American pharmaceutical companies should put their resources persistently in the development of new drugs and obtain their patents. Also they can accumulate the outstanding inventors to develop company's competitive advantage.
謝辭 I
中文摘要 II
英文摘要 III
目錄 IV
圖次 VI
表次 VII
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究目的 3
第四節 研究章節架構 3
第二章 文獻回顧 5
第一節 專利文獻探討 5
第二節 相關變數 12
第三節 類神經網絡分析方法 14
第四節 製藥產業沿革與現況 19
第三章 研究方法 31
第一節 研究架構 31
第二節 資料來源 31
第三節 衡量變數 32
第四章 研究結果 33
第一節 敘述統計量 33
第二節 實證結果 33
第五章 研究結論與管理意涵 41
第一節 研究結論 41
第二節 管理意涵 41
第三節 研究限制與未來建議 43
參考文獻 45
著作權聲明 53

一、中文參考文獻
王世仁、王世堯(2003)。智慧財產權剖析─論生物科技專利策略與實務。台北市:全華科技圖書。
余昇燁(2002)。整合專利分析及期刊論文分析以建構技術分析模式─以基因改良生之技術為應用對象。新北市:淡江大學企業管理學系未出版碩士論文。
吳榮義(2003)。高科技產業與專利─從專利指標觀察產業技術創新變化。大專院校經濟學教師研習營─財政問題與國家經濟建設(2003年8月30日),台北市:台灣經濟研究院。
李玉梅(2004)。高科技產業專利風險管理機制之探討─以專利保險為例。桃園縣:中原大學財經法律系未出版碩士論文。
李茂彰(2005)。高科技產業對創新研發投資決策之研究—以全球前十五大LED公司為例。台南市:成功大學財企業管理學系未出版碩士論文。
吳彥濬、李璧如(2005)。智慧型運輸系統之專利分析:以台灣與中國大陸為例。運輸計劃季刊,34(5),575-608。
林如華、陳昌慧、黃惠雯(2003)。生技製藥產業的價值鏈探討。經濟部培訓科技背景跨領域高級人才計畫海外培訓成果報告。
陳達仁、黃慕萱(2001)。專利資訊與專利檢索。台北市:文華圖書。
翁順哲(2002)。類神經網路在自有品牌商品需求預測之應用─以生展生物科技(股)公司為例。台南市:長榮大學經營管理學系未出版碩士論文。
陳孟祺(2004)。利用專利組合探討FLASH 記憶體研發規劃之研究。雲林縣:國立雲林科技大學企業管理系未出版碩士論文。
湯谷清、秦慶堯、徐雅芬、許毓真(2006)。醫藥產業年鑑。生物技術開發中心。
劉冠妤(2005)。廠商的專利行為與市場價值關聯─以全球奈米二氧化鈦材料產業為例。台北市:世新大學經濟學系未出版碩士論文。
鄭怡潔(2008)。創新發明與公司特性之研究─以台灣專利統計為例。桃園縣:國立中央大學產業經濟學系未出版碩士論文。
廖學忠(2010)。手動訂書機專利分析及產品開發之研究。雲林縣:國立雲林科技大學工業工程與管理學系碩士論文。
蔡維奇(2000)。招募策略,人力資源管理的12堂課。台北市:天下文化。
蔣禮芸(2001)。我國資訊電子業公司專利引用網路與技術分類關係之研究。台北市:臺灣大學圖書資訊學系未出版碩士論文。
蔡中民(2006)。RandD、技術引進與專利績效關係之研究─以台灣上市電子業公司為例。新北市:真理大學管理科學系未出版碩士論文。
蕭秉國(2004)。論美國高科技產業併購專利策略與法律問題研究。桃園縣:私立中原大學財經法律系未出版碩士論文。
魏嫈靜(2010)。併購策略、專利對企業績效之影響─以美國生技製藥產業為例。新竹市:國立清華大學科技管理學系未出版碩士論文。

二、英文參考文獻
Austin, D. H. (1993). An event-study approach to measuring innovative output: The case of biotechnology. The American Economic Review, 83, 253-258.
Brockhoff, K. K. (1992). Instruments for patent data analysis in business firms. Technovation, 12(1), 41-58.
Bond, R. S. & Lean, D. F. (1977). Lean, sles pomotion and poduct dfferentiation in two prescription drug markets, (Economic Report February).Washington, D.C.: U.S. Federal Trade Commission.
Black, S. E. & Lynch, L. M. (1996). Human capital investments and productivity. American Economic Review, 86(2), 63-267.
Cybenko, G. (1989). Approximation by superpositions of a sigmoidal function. Mathematically Controlled Signal Systems, 2, 303-314.
Carlos, S. C. (1996). Self organizing neural networks for financial diagnosis. Decision Support Systems, 17(3), 227-238.
Cabagnols, A. (2006). Technological learning and the persistence of innovation: A France-UK comparison based on a cox model of duration. New York, NY: Springer.
Comanor, W. S. & Scherer, F. M. (1969). Patent statistics as a measure of technical change. Journal of Political Economy, 77(3), 392-398.
Collins, J. M. & Clark, M. R. (1993). An application of the theory of neural computation to the prediction of workplace behavior: An illustration and assessment of network analysis. Personnel Psychology, 46(3), 503-524.
Coats, P. & Fant, F. L. (1993). Recognizing financial distress patterns using a neural network tool. Financial Management, 22(3), 142-155.
Cefis, E. & Orsenigo, L. (2001). The persistence of innovative activities: A cross-countries and cross-sectors comparative analysis. Research Policy, 30, 1139-1158.
DeCarolis, D. M. & Deeds, D. L. (1999). The impact of stocks and flows of organizational knowledge on firm performance: An empirical investigation of the biotechnology industry. Strategic Management Journal, 20, 953-968.
Dernis, H. & Guellec, D. (2001). Using patent counts for cross-country comparisons of technology output. STI Review, 27, 130-146.
Danzon, P. M. Epstein, A. & Nicholson, S. (2007). Mergers and acquisitions in the pharmaceutical and biotech industries. Managerial and Decision Economics, 28, 307-328.
Ernst, H. (1995). Patenting strategies in the German mechanical engineering industry and their relationship to firm performance. Technovation, 15(4), 225-240.
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(4), 361-381.
Ernst, H. (1998). Patent portfolios for strategic RandD planning. Journal of Engineering and Technology Management, 15(4), 279-308.
Ernst, H. (2001). Patent applications and subsequent changes of performance: Evidence from time-series cross-section analysis on the firm level. Research Policy, 30(1), 143-157.
Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25, 233-243.
Griliches, Z. (1990). Patent statistics as economic indicators : A survey. Journal of Economic Literature, 28(4), 1661-1707.
Grant, R. M. (1991). The resource-based theory of competitive advantage:Implication for strategy formulation. California Management Review, 33(3), 114-135.
Gupta, V. K. (1999). Technological trends in the area of fullerenes using bibliometric analysis of patents. Scientometrics, 44(1), 17-31.
Grabowski, H. (2002). Patent, innovation, and access to new pharmaceuticals. Journal of International Economic Law, 5(4), 849-850.
Gebhart, F. (2006). Major drugs lose patent protection in 2006. Drug Topics, 150, 8-10.
Geroski, P. A., Reenen, J. V. & Walters, C. F. (1997). How persistently do firms innovate? Research Policy, 26, 33-48.
Grindley, P. C. & Teece, D. J. (1997). Managing intellectual capital: Licensing and cross-licensing in semiconductors and electronics. California Management Review, 29(2), 8-41.
Gambardella, A. & Torrisi, S. (1998). Does technological convergence imply convergence in markets? Evidence from the electronics industry. Research Policy, 27, 445-463.
Grupp, H. & Schmoch, U. (1999). Patent statistics in the age of globalization: New legal procedures, new analytical methods, new economic interpretation. Research Policy, 28, 377-396.
Gemba, K. & Kodama, F. (2001). Diversification dynamics of the Japanese industry. Research Policy, 30, 1165-1184.
Haykin, S. (1994). Neural networks. New York, NY: Macmillan College Company.
Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity and corporate financial performance. Academy of Management Journal, 38(3), 635-672.
Hall, B. H. (2000). Innovation and market value. In R. Barrell, G. Mason & M. O. Mahony (Eds.), Productivity, Innovation and Economic Performance (pp. 177-198). Cambridge: Cambridge University.
Hornik, K., Stinchcombe, M. & White, H. (1989). Multilayer feedforward networks are universal approximations. Neural Networks, 2, 359-366.
Huang, H. G., Hwang, R. C. & Hsieh, J. G. (2002). A new artificial intelligent peak power load forecaster base on non-fixed neural networks. International Journal of Electrical Power and Energy Systems, 24(3), 245-250.
Hill, C. W. L. & Jones, G. R. (2007). Management theory : An Integrated Approach, (7th ed.). Boston, MA: Houghton Mifflin Company.
Jang, S. L., Tsai, Y. T. & Chen, J. (2007). Persistent innovation:A cross-country study of output and diversity over Time. Applied Economics Letters, 15, 323-326.
Kohonen, T. (1990). The Self-organizing Map. Proceedings of the IEEE, 78(9), 1480-1481.
Lerner, J. (1994). The importance of patent scope: An empirical analysis. Rand Journal of Economics, 25(2), 319-333.
Luo, X., Zhou, L. & Liu, S. S. (2005). Entrepreneurial firms in the context of China's Transition economy: An integrative framework and empirical examination. Journal of Business Research, 58(3), 277-284.
Mansfield, E. (1986). Patents and innovation: An empirical study. Management Science, 32(2), 173-181.
Mariam, D. (2004). What determinates technologies hits? Geography versus firm competencies. Research Policy, 33, 1565-1582.
Mcmillan, E. (2004). Complexity, organizations and change. London: England: Routledge.
Merges, R. P. & Nelson, R. R. (1990). On the complex economics of patent scope. Columbia Law Review, 90(4), 839-916.
Malerba, F. & Orsenigo, L. (1993). Technological regimes and firm behavior. Industrial and Corporate Change, 2, 45-74.
Malerba, F. & Orsenigo, L. (1995). Schumpeterian patterns of innovation. Cambridge Journal of Economics, 19, 47-65.
Markman, G. D., Espina, M. I. & Phan, P. H. (2004). Patent as surrogates for inimitable and non-substitutable resources. Journal of Management, 30(4), 529-544.
Narin, F. (1995). Patents as indicators for the evaluation of industrial research output. Scientometrics, 34(3), 489-496.
Nayak, P. C., Sudheer, K. P., Rangan, D. M. & Ramasastri, K. S. (2004). A neuro-fuzzy computing technique for modeling hydrological time series. Journal of Hydrology, 291(1-2), 52-66.
Polanco, X., François, C. & Keim, J. P. (1998). Artificial neural network technology for the classification and cartography of scientific and technical information. Scientometrics, 41(1-2), 69-82.
Polanco, X., François, C. & Lamirel, J. C. (2001). Using artificial neural networks for mapping of science and technology: A multi-self-organizing-maps approach. Scientometrics, 51(1), 267-292.
Patrick, H. & Suzanne, H. (2001). Profiting From Intellectual Capital. New Jersey, NJ: John Wiley & Sons Inc.
Rai, A. K. (2001). Fostering cumulative innovation in the biopharmaceutical industry: The role of patent and antitrust. Berkely Technology Law Journal, 16, 814-852.
Scherer, F. M. (1965). Corporate inventive output, profits and growth. The Journal of Political Economy, 73(3), 290-297.
Stacey, R. D. (1996). Complexity and creativity in organizations. San Francisco, CA: Berrett-Koehler Publishers.
Somers, M. J. (2001). Thinking differently: Assessing nonlinearities in the relationship between work attitudes and job performance using a Bayesian neural network. Journal of Occupational & Organizational Psychology, 74(1), 47-61.
Soete, L. G. & Wyatt, S. M. E. (1983). The use of foreign patenting as an internationally comparable science and technology output indicator. Scientometrics, 5, 31-54.
Swamidass, P. M., Nair, S. S. & Mistry, S. I. (1999). The use of a neural factory to investigate the effect of product line width on manufacturing performance. Management Science, 5(2), 203-212.
Simon, F. & Kotler, P. (2003). Building global biobrands : Taking biotechnology to market. New York, NY: Simon and Schuster Inc.
Suzuki, J. & Kodamab, F. (2004). Technological diversity of persistent innovators in Japan : Two case studies of large Japanese firms. Research Policy, 33, 531-549.
Tang, Z., Almeida, C. & Fishwick, P. A. (1991). Time series forecasting using neural networks v.s Box-Jenkins Methodology. Simulation, 57(5), 303-310.
Trappey, A. J. C., Hsu, F. C., Trappey, C. V. & Lin, C. I. (2006). Development of a patent document classification and search platform using a back-propagation network. Expert Systems with Applications, 31(4), 755-765.
Wasserman, P. D. (1993). Advanced Methods in Neural Computing. New York, NY: Van Nostrand Reinhold.
Wray, B., Palmer, A. & Bejou, D. (1994). Using neural network analysis to evaluate buyer-seller relationships. European Journal of Marketing, 28(10), 32-48.

三、網路參考資料
行政院衛生署(2001)。中華民國藥事法的16條之規定。2013年5月7號。取自http://dohlaw.doh.gov.tw/Chi/NewsContent.asp?msgid=211
車慧中(2004)。專利佈局暨專利地圖技術分析,冠亞智財電子報雙月刊,第8期。2013年5月8號。取自http://www.gainia.com/front/bin/partprint.phtml?Part=101-8&Category=&Style=2
蕭燕翔(2012)。《製藥》搶食國際市場,產業加強整合成趨勢。2013年5月7號。取自http://www.moneydj.com/KMDJ/News/News
Viewer.aspx?a=50f03d41-a023-41b2-ae20-5a4ee5a21256# ixzz 2Aq
經建會(2011)。2015年全球藥品使用展望。2013年5月7號。取自http://www.cepd.gov.tw/m1.aspx?sNo=0016066。
鐘惠玲、陳宥臻(2012)。台專利傲人 技術貿易赤字卻破表。2013年5月17號。取自http://news.chinatimes.com/focus/501011769/112012082000454.html
朱立群(2008)。高齡化社會來臨 全球藥品市場 2013年突破1兆美元產值。2013年5月17號。取自http://health.chinatimes.com
/contents.aspx?cid=570&id=1781
經濟部智慧財產局(2012)。專利法相關法規。2013年5月17號。取自http://www.tipo.gov.tw/ch/Download_ DownloadPage.aspx? path=1616&Language=1&UID=13&ClsID=14&ClsTwoID=15&ClsThreeID=28
科技產業資訊室(2012)。五大專利局專利申請 美歐中創歷史新高。2013年5月17號。取自http://cdnet.stpi.org.tw/techroom/
pclass/2012/pclass_12_A026.htm


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