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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/9759完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳達仁(Dar-Zen Chen) | |
| dc.contributor.author | Kuo-Jui Huang | en |
| dc.contributor.author | 黃國瑞 | zh_TW |
| dc.date.accessioned | 2021-05-20T20:39:41Z | - |
| dc.date.available | 2008-07-30 | |
| dc.date.available | 2021-05-20T20:39:41Z | - |
| dc.date.copyright | 2008-07-30 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-07-24 | |
| dc.identifier.citation | Ashton, B. and Sen, R., 1988, “Using patent information in technology business planning—I,” Res. Technol. Manage., 31, pp. 42–46.
Bradford, S. C., 1934, “Sources of Information on Specific Subject,” Engineering, 137 (3550):86-86 Breitzman, A. F. and Narin, F., 2001, “Method and Apparatus for Choosing a Stock Portfolio, Based on Patent Indicators,” United States Patent, 6175824. Brookes, B. C., 1973, “Numerical Methods of Bibliographic Analysis,” Liberary Trends, 22(1) pp.18-43 CHI Research Inc. Tech-Line®: Technology indicators. Retrieved June 6, 2001 from the World Wide Web: http://www.chiresearch.com/techline/indicator.htm Choung, J. Y., 1998, “Patterns of Innovation in Korea and Taiwan,” IEEE Transaction on Engineering Management, 45, pp. 357-365. Deng, Z., Lev, B., and Narin F., 1999, ” Science and Technology as Predictors of Stock Performance,” Financial Analysts Journal, May/Jun99, 55(3), pp. 20-32. Gay, C., and Le Bas, C., 2005, “Uses Without Too Many Abuses of Patent Citations or the Simple Economics of Patent Citations as a Measure of Value and Flows of Knowledge,” Economics of Innovation and New Technology, 14, pp. 333-338. Griliches, Z., 1984, “R&D Patents and Productivity,” Chicago: Univ. of Chicago Press. Griliches, Z., 1990, “Patent statistics as economic indicators: A survey,” J. Econ. Literature, 25, pp. 1661-1707. Groos, O. V., 1967, “Bradford’s Law and Keenan-Atherton Data,” American Documentation, 18, 46p. Hall, B. H., Jaffe A. B., and Trajtenberg, M., 1998, “Market Value and Patent Citations: A First Look,” Working paper. University of California at Berkeley. Hall, B. H., Jaffe, A. B., and Trajtenberg, M., 2001, “The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools,” NBER working paper series, from the World Wide Web: http://www.nber.org/papers/w8498. Hall, B. H., and Trajtenberg, M., 2004, “Uncovering GPTS with Patent Data,” NBER working paper series, from the World Wide Web: http://www.tau.ac.il/~manuel/pdfs/uncovering_GTP_using_patent_data.pdf Haupt R., Kloyer, M., and Lange, M., 2007, “Patent indicators for the Technology Life Cycle Development,” Research Policy, pp.387-398 Hendall, M. G., 1960, “The Bibliography of Operation Research,” Operational Research Quarterly, 11, pp.31-36. Jaff, A. B., Trajtenberg, M., Henderson, R., 1992, “Geographic Localization of Knowledge Spillovers as Evidence by Patent Citations,” National Bureau of Economic Research, Working Paper 3993. Kayal A. A. and Waters, R. C., 1999, “An Empirical Evaluation of the Technology Cycle Time Indicator as a Measure of the Pace of Technological Progress in Superconductor Technology,” IEEE Transaction on Engineering Management, 46, pp. 127-131. Leimkuhler, F. F., 1967, “The Bradford Distribution,” Journal of Documentation, 23: 197-207 Lichtenberg, F., and Virabhak, S., 2002, “Using Patents Data to Map Technical Change in Health-related Areas,” OECD Science, Technology and Industry Working Papers, 48p. Narin, F., 1993, “Technology Indicators and Corporate Strategy,” Review of Business, vol. 14 Pope, A., 1975, “Bradford's Law and the Periodical Literature of Information Science, “Journal of the American Society for Information Science, 26(4), p207-213. Pouris, A., 2005. “Transport research in South Africa: a quantitative assessment”, Science and Public Policy, 32(3), pp. 221-224. Stolpe, M., 2002, “Determinants of Knowledge Diffusion as Evidenced in Patent Data: the Case of Liquid Crystal Display Technology,” Research Policy, 31, pp. 1181-1198. Tomas, P., CHI Research Inc., G, S. McMillan., and Abington., P. S., 2001, “Using Science and Technology Indicators to Manage R&D as a Business”, Engineering Management, 13(3), pp. 9-14. Vickery, B. C., 1948, “Bradford Law of Scattering,” Journal of Documantation, 4(1), pp. 199-203. Weinstein, R., and Huang, S., 1999, “Valuing Patents and Intangible Assets in the Semiconductor Industry,” The Licensing Journal, 19(2), pp. 8-13. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/9759 | - |
| dc.description.abstract | 本研究目的乃在於設定一個專利分類準則，用以辨別專利的重要性與價值。其中，書目計量學(Bibliometrics)之布萊德福法則(Bradford’s Law)提供了一個實證方法，本研究得以藉此法則探索此種分類法則，同時亦發現在專利被引用(forward citation)資料中，存在了一個不均勻分佈(unequal distribution)。此外，藉由三個產業的實證研究當中，也發現了專利被引用資料的分佈中存在葛羅斯偏垂(Groos droop)現象，如同書目計量研究，說明了專利被引用中亦有大量專利鮮少被引用的狀況。
專利資料的分散現象在本研究中，藉由圖形發展來探究其成長現象。更進一步地，藉由計量性的探討，基於布萊德福法則下將各產業專利資料分區，並在各產業中進行比較，發現本研究之三個產業專利被引用分佈，具有相同的成長分佈。 最後，本研究亦提出相關的管理意涵，建議公司應專注於自身落在專利分區的第一區專利技術，因其具有相對的發展價值。而建議未來研究方向，則應該專注於這些較具有價值性的專利資料。此外，後續相關於專利之研究變數，也建議參考本研究之專利價值分類準則。而布萊德福法則亦可作為專利資料的整體技術管理方法。 | zh_TW |
| dc.description.abstract | The objective of this research is to set up a criterion for classifying the patents by their importance and value. Bradford’s law provided a practical method for us to find this criterion and verified the unequal distribution of patent data related to forward citation. Groos droop was also verified which presented in the industries studies that revealed there would be a rule of higher number of patents containing fewer forward citations.
The meaning of patent data scattering was also deeply elaborated and illustrated in some growing patterns. Based on more numerical discussion, it was more precisely depicted that how the distributions in several zones of patent data grew which Bradford was mentioned in the industrial studies. Meanwhile, the comparative discussions on the patent data distributions of three industries were also verified that there would be the similar trends among them. The managerial implication was discussed in the study as well. It was emphasized that a firm should have more of the patent belonged to the first zone and make effort to focus on the development of the relative technology. The future works were supposed that using the valuable patents, the first zone’s patents, was more meaningful than the numerical count of all the patents. Therefore, the other studies about the prediction of firm’s performance could modify the independent variable according the criterion made from Bradford. Besides, taking the entire firm’s granted patents as a Bradford curve to see the overall development pattern was also a technological development method. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-20T20:39:41Z (GMT). No. of bitstreams: 1 ntu-97-R94546008-1.pdf: 348979 bytes, checksum: cec3b45a6650853d85cebe734f1b3a93 (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | List of Figures v
List of Tables vi Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Research Motivation and Objectives 5 Chapter 2 Determination of the Citation Indicator 7 2.1 Backward Citation Indicator - A Backward View 7 2.2 Forward Citation Indicator - A Forward View 7 2.3 Bradford’s Law and Groos Droop 8 2.4 Industrial Definition 12 Chapter 3 The Unequal Distribution of Patent Data 30 3.1 The Scattering of Patent Data 30 3.2 Analysis on Patent Forward Citation Numbers-into Three Zones 32 3.3 Analysis on Patent Forward Citation Proportionalities-into Three Zones 35 3.4 Analysis on Patent Forward Citation Numbers-into Four Zones 36 3.5 Analysis on Patent Forward Citation Proportionalities-into Four Zones 39 3.6 Analysis on Patent Forward Citation Numbers-into Five Zones 40 3.7 Analysis on Patent Forward Citation Proportionalities-into Five Zones 43 Chapter 4 Analysis on Scattering Pattern of Patents Data 45 4.1 Growth Pattern by Logarithm View 45 4.2 Curve Growth with Logarithmic Scale 49 4.3 Inflection Behaviors by Groos Droop 51 4.4 The Trends of Data Distribution on Curve Fitting 53 Chapter 5 Conclusions 56 References 58 | |
| dc.language.iso | en | |
| dc.title | 專利資料分散性與被引用之分佈探究 | zh_TW |
| dc.title | On the Scattering Distributions of Patent Citation | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃慕萱(Mu-Hsuan Huang),林正平(Chang-Pin Lin) | |
| dc.subject.keyword | 書目計量學,布萊德福法則,專利被引用,不均勻分佈,葛羅斯偏垂, | zh_TW |
| dc.subject.keyword | Bibliometrics,forward citation,unequal distribution,Groos droop, | en |
| dc.relation.page | 60 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2008-07-26 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| 顯示於系所單位： | 工業工程學研究所 | |
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