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研究生:黃珮華
研究生(外文):Pei-Hua Huang
論文名稱:探討知識雙元於技術發展之動態影響
論文名稱(外文):Exploring the Dynamic Impact of Ambidextrous Knowledge Source on Technology Development
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:王瑞德羅志成
口試委員(外文):Juite WangChih-Cheng Lo
口試日期:2016-06-15
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:2016
畢業學年度:104
語文別:英文
論文頁數:45
中文關鍵詞:知識依賴性專利引證動態發展科學與技術連結性
外文關鍵詞:knowledge developmentpatent citationdynamic developmentlinkage between science and technology
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科學於技術之影響性不僅於創新產業中扮演重要的角色,也潛伏於國家創新系統中。雖然科學與技術之間的連結性已於諸多文獻中被探討,然而仍然缺乏一個具體且詳細的評估方式去衡量科學與技術之間的連結性,因此,本研究之主要目地為探討組織如何隨著時間的變動去進行科學研究與技術發展之整體連結分析。本研究下載美國專利及商標局(USPTO)於1994年至2013年之授權專利資料,並以五年為一期間,將上述分析年限之二十年劃分為四個不同時段去探討,分別為:1994年-1998年、1999年-2003年、2004年-2008年、2009年-2013年。本研究採用兩項專利特徵:1) 專利引用次數與2)非專利文獻引用次數去探討國家層級、行動通訊裝置產業層級之科學與技術之間的連結性與知識依賴性。本研究之研究就結果顯示:科學與技術之間的多樣影響型態可以劃分為以下四種類型:1) 穩定型態、2) 不穩定型態、3) 成長型態與4) 衰退型態,本研究藉由四大型態之分類提供一個基於科學與技術動態發展之連結分類方法,檢定且預測組織科學與技術之整體發展。

The influence of science on technology plays a critical role not only in innovating industries but also in diving a national innovation system. Although studies in the linkage between science and technology have to be reported in the literature, a detailed and specific assessment on such linkage is still not available. Therefore, the objective of this study is to conduct a holistic analysis on how organizations link to scientific research and technological development as a function of time. Patents granted by United States Patent and Trademark Office (USPTO) in four periods involving 1994-1998, 1999-2003, 2004-2008, and 2009-2013 had been applied to analyze the related levels of patents to their dynamic interactions with knowledge development. The analysis is based on two patent characteristics, the number of non-patent reference (PR) and number of patent reference (NPR). These results are used to understand how significant the linkage is between science and technology within investigated countries and internationally renowned mobile telecommunication firms. It is concluded that various linkage between science and technology can be classified into four main types including 1) stable, 2) unstable, 3) growth and 4) decline type. This study proposed a way to understand the dynamic impacts of science on technology in different domains, help organizations understand the whole trend and predict the future science-technology development.

1.Introduction ........................................................................................................... 1
2.Literature Review .................................................................................................. 6
2.1 Science, technology and innovation development...................................... 6
2.2 Measure the contribution of science to technology development............... 7
2.3 Patent as basis of science-technology linkage ............................................ 9
3.Research Data and Methodology......................................................................... 13
3.1 Data Source.......................................................................................... 13
3.2 Research Methodology........................................................................ 13
4.Results ................................................................................................................. 16
4.1 Case study I – Country level perspective ............................................ 17
4.2 Case study II – Firm level perspective ................................................ 23
5.Conclusion........................................................................................................... 30
6.Reference ............................................................................................................. 33
7.Appendix ............................................................................................................. 43

Acosta, M., & Coronado, D. (2003). Science-technology flows in Spanish regions:: An analysis of scientific citations in patents. Research Policy, 32(10), 1783–1803.
Aghion, P., & Durlauf, S. (2005). Preface to the Handbook of Economic Growth. In P. A. and S. N. Durlauf (Ed.), Handbook of Economic Growth (Vol. 1, Part B, pp. xi–xv). Elsevier. Retrieved from http://www.sciencedirect.com/science/article/pii/S1574068405012062
Allison, J. R., Lemley, M. A., Moore, K. A., & Trunkey, R. D. (2003). Valuable Patents. Georgetown Law Journal, 92, 435.
Almeida, P. (1996). Knowledge sourcing by foreign multinationals: patent citation analysis in the US semiconductor industry. Strategic Management Journal, 17, 155–165.
Almeida, P., & Kogut, B. (1999). Localization of knowledge and the mobility of engineers in regional networks. Management Science, 905–917.
Archibugi, D., & Planta, M. (1996). Measuring technological change through patents and innovation surveys. Technovation, 16(9), 451–519. http://doi.org/10.1016/0166-4972(96)00031-4
Basole, R. C. (2008). Visualization of Interfirm Relations in a Converging Mobile Ecosystem. In 2008 7th International Conference on Mobile Business (pp. 65–74). http://doi.org/10.1109/ICMB.2008.32
Bhattacharya, S., & Meyer, M. (2003). Large firms and the science-technology interface Patents, patent citations, and scientific output of multinational corporations in thin films. Scientometrics, 58(2), 265–279. http://doi.org/10.1023/A:1026284510104
Martin, K. P. (n.d.). The relationship between publicly funded basic research and economic performance.
Boyack, K. W., & Klavans, R. (2008). Measuring science–technology interaction using rare inventor–author names. Journal of Informetrics, 2(3), 173–182. http://doi.org/10.1016/j.joi.2008.03.001
Breschi, S., & Catalini, C. (2010). Tracing the links between science and technology: An exploratory analysis of scientists’ and inventors’ networks. Research Policy, 39(1), 14–26. http://doi.org/10.1016/j.respol.2009.11.004
Brooks, H. (1994). Special Issue in Honor of Nathan RosenbergThe relationship between science and technology. Research Policy, 23(5), 477–486. http://doi.org/10.1016/0048-7333(94)01001-3
Cassiman, B., Glenisson, P., & Looy, B. V. (2007). Measuring industry-science links through inventor-author relations: A profiling methodology. Scientometrics, 70(2), 379–391. http://doi.org/10.1007/s11192-007-0208-3
Chen, C., & Hicks, D. (2004). Tracing knowledge diffusion. Scientometrics, 59(2), 199–211.
Chia, T. H. (2012). Fighting the Smartphone Patent War with RAND-Encumbered Patents. Berkeley Technology Law Journal, 27, 209–240.
Cockburn, I. M., & Henderson, R. M. (1998). Absorptive capacity, coauthoring behavior, and the organization of research in drug discovery. The Journal of Industrial Economics, 46(2), 157–182.
Cowan, R. S. (2003). [Review of Review of Technological Innovation as an Evolutionary Process, by J. Ziman]. The Business History Review, 77(2), 357–359. http://doi.org/10.2307/30041170
Coward, H. R., & Franklin, J. J. (1989). Identifying the Science-Technology Interface: Matching Patent Data to a Bibliometric Model. Science, Technology, & Human Values, 14(1), 50–77.
Cremers, K. (2009). Settlement during patent litigation trials. An empirical analysis for Germany. The Journal of Technology Transfer, 34(2), 182–195. http://doi.org/10.1007/s10961-007-9066-7
Fagerberg, J. (1987). A technology gap approach to why growth rates differ. Research Policy, 16(2–4), 87–99. http://doi.org/10.1016/0048-7333(87)90025-4
Fagerberg, J., Srholec, M., & Verspagen, B. (2010). Chapter 20 - Innovation and Economic Development. In B. H. H. and N. Rosenberg (Ed.), Handbook of the Economics of Innovation (Vol. 2, pp. 833–872). North-Holland. Retrieved from http://www.sciencedirect.com/science/article/pii/S0169721810020046
NARIN. (1994). PATENT BIBLIOMETRICS*. Scientometrics, Vol. 30, No. 1 147–155.
Freeman, C. (1962). RESEARCH AND DEVELOPMENT : A COMPARISON BETWEEN BRITISH AND AMERICAN INDUSTRY. National Institute Economic Review, (20), 21–39.
Freeman, Christopher; Young, A. J.;, & Development, O. for E. C. and. (1965). The research and development effort in Western Europe, North America and the Soviet Union : an experimental international comparison of research expenditures and manpower in 1962. Paris : OECD.
Freeman, C., & Soete, L. (2009). Developing science, technology and innovation indicators: What we can learn from the past. Research Policy, 38(4), 583–589.
Gibbons, M., & Johnston, R. (1974). The roles of science in technological innovation. Research Policy, 3(3), 220–242. http://doi.org/10.1016/0048-7333(74)90008-0
Gittelman, M., & Kogut, B. (2003). Does Good Science Lead to Valuable Knowledge? Biotechnology Firms and the Evolutionary Logic of Citation Patterns. Management Science, 49(4), 366–382. http://doi.org/10.1287/mnsc.49.4.366.14420
Grupp, H. (1996). Spillover effects and the science base of innovations reconsidered: an empirical approach. Journal of Evolutionary Economics, 6(2), 175–197. http://doi.org/10.1007/BF01202593
Grupp, H., & Schmoch, U. (1992). Perception of scientification of innovation as measured by referencing between patents and papers. Dynamics of Science-Based Innovations, Springer Publishers, Berlin/Heidelberg, 73–128.
Hall, B. H., Jaffe, A., & Trajtenberg, M. (2005). Market Value and Patent Citations. The RAND Journal of Economics, 36(1), 16–38. http://doi.org/10.2307/1593752
Han, Y.-J. (2007). Measuring industrial knowledge stocks with patents and papers. Journal of Informetrics, 1(4), 269–276. http://doi.org/10.1016/j.joi.2007.06.001
Harhoff, D., & Reitzig, M. (2004). Determinants of opposition against EPO patent grants–the case of biotechnology and pharmaceuticals. International Journal of Industrial Organization, 22(4), 443–480.
Harnessing Science, Technology and Innovation for Inclusive and Sustainable Development in Asia and the Pacific | United Nations ESCAP. (n.d.). Retrieved May 29, 2016, from http://www.unescap.org/resources/harnessing-science-technology-and-innovation-inclusive-and-sustainable-development-asia
Haupt, R., Kloyer, M., & Lange, M. (2007). Patent indicators for the technology life cycle development. Research Policy, 36(3), 387–398.
Henderson, R., & Cockburn, I. (1994). Measuring competence? Exploring firm effects in pharmaceutical research. Strategic Management Journal, 15(S1), 63–84.
Hicks, D., Breitzman, A., Hamilton, K., & Narin, F. (2000). Research excellence and patented innovation. Science and Public Policy, 27(5), 310–320. http://doi.org/10.3152/147154300781781805
Hirschey, M., & Richardson, V. J. (2004). Are scientific indicators of patent quality useful to investors? Journal of Empirical Finance, 11(1), 91–107.
Industry, G. / D. of T. and. (2003). Competing in the global economy : the innovation challenge ([Elektronische Ressource]).
Jaffe, A. B., Fogarty, M. S., & Banks, B. A. (1997). Evidence from Patents and Patent Citations on the Impact of NASA and Other Federal Labs on Commercial Innovation (Working Paper No. 6044). National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w6044
Jeeeun Kim, S. L. (2015). Patent databases for innovation studies: A comparative analysis of USPTO, EPO, JPO and KIPO. Technological Forecasting and Social Change, 92. http://doi.org/10.1016/j.techfore.2015.01.009
Klitkou, A., & Gulbrandsen, M. (2009). The relationship between academic patenting and scientific publishing in Norway. Scientometrics, 82(1), 93–108. http://doi.org/10.1007/s11192-009-0050-x
Lanjouw, J. O., & Schankerman, M. (2001). Characteristics of Patent Litigation: A Window on Competition. RAND Journal of Economics, 32(1), 129–51.
Lee, Pei-Chun., & Su, Hsin-Ning. (2014). How to forecast cross-border patent infringement?—The case of US international trade. Technological Forecasting and Social Change, 86, 125–131.
Lo, Szu-Chia. (2009). Scientific linkage of science research and technology development: a case of genetic engineering research. Scientometrics, 82(1), 109–120. http://doi.org/10.1007/s11192-009-0036-8
Mansfield, E. (1995). Academic Research Underlying Industrial Innovations: Sources, Characteristics, and Financing. The Review of Economics and Statistics, 77(1), 55–65. http://doi.org/10.2307/2109992
Mansfield, E. (1998). Academic research and industrial innovation: An update of empirical findings1. Research Policy, 26(7-8), 773–776.
Marco, A. C. (2005). The option value of patent litigation: Theory and evidence. Review of Financial Economics, 14(3–4), 323–351. http://doi.org/10.1016/j.rfe.2004.09.003
McMillan, G. S., Narin, F., & Deeds, D. L. (2000). An analysis of the critical role of public science in innovation: the case of biotechnology. Research Policy, 29(1), 1–8. http://doi.org/10.1016/S0048-7333(99)00030-X
Meyer, M. (2000). Does science push technology? Patents citing scientific literature. Research Policy, 29(3), 409–434. http://doi.org/10.1016/S0048-7333(99)00040-2
Michael Gibbons, M. T. (1994). The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies. London, Thousand Oaks, New Delhi: Sage.
Motohashi, K., & Yun, X. (2007). China’s innovation system reform and growing industry and science linkages. Research Policy, 36(8), 1251–1260. http://doi.org/10.1016/j.respol.2007.02.023
Mowery, D. C. (1983). Economic Theory and Government Technology Policy. Policy Sciences, 16(1), 27–43.
Murray, F. (2002). Innovation as co-evolution of scientific and technological networks: exploring tissue engineering. Research Policy, 31(8–9), 1389–1403. http://doi.org/10.1016/S0048-7333(02)00070-7
Narin, F., Hamilton, K. S., & Olivastro, D. (1997). The increasing linkage between U.S. technology and public science. Research Policy, 26(3), 317–330. http://doi.org/10.1016/S0048-7333(97)00013-9
Narin, F., & Noma, E. (1985). Is technology becoming science? Scientometrics, 7(3), 369–381.
Narin, F., Stevens, K., & Whitlow, E. S. (1991). Scientific co-operation in Europe and the citation of multinationally authored papers. Scientometrics, 21(3), 313–323. http://doi.org/10.1007/BF02093973
Nelson, R. R., & Wolff, E. N. (1997). Factors behind cross-industry differences in technical progress. Structural Change and Economic Dynamics, 8(2), 205–220. http://doi.org/10.1016/S0954-349X(96)00079-3
Park, H. W., & Kang, J. (2009). Patterns of scientific and technological knowledge flows based on scientific papers and patents. Scientometrics, 81(3), 811–820. http://doi.org/10.1007/s11192-008-2224-3
Pianta, M. (1995). Technology and Growth in OECD Countries, 1970-1990. Cambridge Journal of Economics, 19(1), 175–87.
Porter, M. E., & Ketels, C. H. M. (2003). UK Competitiveness: Moving to the Next Stage. Retrieved from http://www.hbs.edu/faculty/Pages/item.aspx?num=15397
Relation between Technology and Science: A Perspective of Patent and Paper Production. (n.d.). Retrieved February 11, 2016, from http://www.academia.edu/6065750/Relation_between_Technology_and_Science_A_Perspective_of_Patent_and_Paper_Production
Romer, P. M. (1986). Increasing Returns and Long-Run Growth. Journal of Political Economy, 94(5), 1002–1037.
Schmoch, U. (1993). Tracing the knowledge transfer from science to technology as reflected in patent indicators. Scientometrics, 26(1), 193–211.
Science and Innovation Policy: Key Challenges and Opportunities - CIAO. (n.d.). Retrieved January 17, 2016, from http://www.ciaonet.org/catalog/13988
Science, Technology and Innovation in the New Economy. (n.d.). Retrieved January 18, 2016, from http://ersilia.net/ET2050_library/index.php?option=com_content&view=article&id=442:science-technology-and-innovation-in-the-new-economy&catid=42:technologies&Itemid=23
Science, Technology, and Innovation Policy: Opportunities and Challenges for the Knowledge Economy. (2000) (1 edition). Westport, Conn: Praeger.
Sirilli, G. (1998). Conceptualizing and measuring technological innovation (Working Paper). STEP Group. Retrieved from https://brage.bibsys.no/xmlui/handle/11250/226464
Sorenson, O., & Fleming, L. (2004). Science and the diffusion of knowledge. Research Policy, 33(10), 1615–1634. http://doi.org/10.1016/j.respol.2004.09.008
Sung, Hui-Yun, Wang, Chun-Chieh, Huang, Mu-Hsuan, & Chen, Dar-Zen, (2015). Measuring science-based science linkage and non-science-based linkage of patents through non-patent references. Journal of Informetrics, 9(3), 488–498. http://doi.org/10.1016/j.joi.2015.04.004
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. http://doi.org/10.1016/S0048-7333(99)00080-3
Tijssen, R. J. W., Buter, R., & Van Leeuwen, T. N. (2000). Technological relevance of science: An assessment of citation linkages between patents and research papers. Scientometrics, 47(2), 389–412.
Tong, X., & Frame, J. D. (1994). Measuring national technological performance with patent claims data. Research Policy, 23(2), 133–141. http://doi.org/10.1016/0048-7333(94)90050-7
Tonybee, A. J. (1963). Introduction: The Genesis of Civilisations, A Study of History (Vol. 3). New York.



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