跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.82) 您好!臺灣時間:2025/03/16 13:49
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:張育誠
研究生(外文):Yu-Cheng Chang
論文名稱:奈米纖維技術匯流之決定因素研究
論文名稱(外文):The study on the determination of nanofibers' technological evolution in Nano-convergence
指導教授:羅志成羅志成引用關係
指導教授(外文):Chih-Cheng Lo
學位類別:碩士
校院名稱:國立彰化師範大學
系所名稱:工業教育與技術學系
學門:教育學門
學類:專業科目教育學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:英文
論文頁數:111
中文關鍵詞:奈米匯流奈米纖維專利引證分析創新
外文關鍵詞:nano-convergencenanofiberpatent citation network analysisinnovation
相關次數:
  • 被引用被引用:0
  • 點閱點閱:172
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本研究主要研究目的係以專利引證網絡分析探討奈米纖維產業在技術網絡演化與匯流的動態變遷,以及分析專利特性與引證網絡特性對於奈米纖維技術匯流程度之關聯性,從而瞭解奈米纖維技術匯流發展脈絡及情境。
本研究搜尋美國專利商標局(USPTO)資料庫,樣本觀測值為262筆奈米纖維技術的關鍵專利,然後建構專利引證矩陣,並以UCINET進行奈米纖維技術網絡分析,針對專利引證與匯流程度的情形,透過專利引證網絡分析與階層迴歸分析進行實證研究。
研究結果發現,目前奈米纖維技術與其他科技的匯流(專利引用)程度較低|。此外,在專利特性變數當中的「引用文獻」、「申請專利範圍」、「專利家族」、「引用國外專利」和匯流程度有顯著的正相關;「申請專利範圍」、「自我引證」和匯流程度有顯著的負相關。網絡中心性中的度數中心性、接近中心性、以及居間中心性皆和匯流程度有顯著正相關。

The main purpose of this study was to explore the evolution and convergence of nanofibers based on patent citation network analysis. Besides, this study investigates the relationship between patent characteristic and citation network characteristic on nano-convergence.
This paper mainly collected patent information in the United States Patent and Trademark Office (USPTO) database. This study data consisted of 262 key patents in the nanofibers technology and further constructed a patent citation matrix; finally, UCINET software was used for nanofibers technology network analysis. Finally, hierarchical regression analysis are used to analyze the nano-convergence
The primary findings indicate that the convergence degree of nanofibers’ technologies with other technologies is low in current stage. Moreover, some of patent characteristics including “Reference citing”, “Claim”, “Patent Family”, “Foreign Patent”, and “Self-citation” have significant effects on Nanofiber convergence. “Degree”, “Closeness”, “Betweenness” in citation network characteristic has significantly positive effects on nanofiber-convergence.

中文摘要 I
Abstract III
Acknowledgment V
Table of Content VII
List of Table IX
List of Figure XI

Chapter 1 Introduction 1
1.1 Research Background and Motivation 1
1.2 Research Objectives 5
1.3 Research Questions 6
1.4 Research Procedures 7

Chapter 2 Literature Review 9
2.1 The technological Change of Nanofibers 9
2.1.1 A brief Introduction of Nanotechnologyand
Applications 9
2.1.2 A brief Introduction of Nanofibers’Convergence 10
2.2 Technological Innovation 16
2.3 Technological Evolution 23
2.4 Literature on patent analysis 28
2.4.1 Methods of Patent Analysis 28
2.4.2 Patent Citation Analysis 34
2.5 Patent Analysis 35
2.5.1 Introduction of Social Network Analysis 35
2.5.2 Indicators of Social Network Analysis 37
2.5.3 Patent Citation Network Analysis 39
2.6 Sythesis 40

Chapter 3 Methodology 43
3.1 Research design 43
3.2 Research Model and Hypothesis Development 45
3.2.1 Patent Characteristic and Convergence Degree 46
3.2.2 Network Characteristic and Convergence Degree 47
3.3Definition of Variable 49
3.4 Patent Data Collection and Selection Procedure 52

Chapter 4 Finds and Results 55
4.1 General Trend of Nanofiber Patent 55
4.2 The Network Characteristics of NanofiberPatent 56
4.3 InDegree and OutDegree of Nanofibers 59
4.4 Network Centrality of Nanofibers 60
4.4.1 Degree Centrality 60
4.4.2 Closeness Centrality 61
4.4.3 Betweenness Centrality 61
4.5 HypothesisTest 62

Chapter 5 Conclusions 67
5.1 Conclusions 67
5.2 Limitation and Further Research 69

References 71
Appendix 82

List of Tables
Table 1-1 Statistics of global market for nanofibers 2
Table 2-1 Nanotechnology applications 10
Table 2-2 Comparison of processing techniques for obtaining nanofibers 14
Table 2-3 Advantages and disadvantages of various processing techniques 14
Table 2-4 Main Application of nanofiber 16
Table 2-5 Technological Evolution concepts 24
Table 2-6The definition of CHI indicators 29
Table 2-7Literature on patent indicators 31
Table 3-1 Patent search strategy 52
Table 3-2 Patent citations distribution 53
Table 4-1Top 5 firms patent citation with other firms 58
Table 4-2 Network Centralization 60
Table 4-3 Correlation matrix 63
Table 4-4 Hierarchical regression on convergence degree of nanofibers
technology 65
Table 5-1 Summaries of hypotheses 68

List of Figures
Figure 1-1Summary figure global market for nanofibers, 2005-2017 3
Figure 1-2 Overview of this dissertation 8
Figure 2-1 Obtaining nanofibers by drawing 11
Figure 2-2 Obtaining nanofibers by template synthesis 12
Figure 2-3 The S-curve concept of a technological life cycle 18
Figure 2-4 S-curve technology replacement model 18
Figure 2-5 The Abernathy – Utterback model 19
Figure 2-6 Christiansen’s view of S-curve technology replacement model 21
Figure 2-7 The disruptive innovation model 22
Figure 3-1 The research design of this dissertation 43
Figure 3-2 Research model 45
Figure 4-1 Trend analysis of patent counts of nanofibers 56
Figure 4-2 Patents network of nanofibers technology 57
Abernathy, W. J., & Utterback, J. M. (1975). A dynamic model of process and product innovation. Omega, 3(6), 639-656.
Abernathy, W. J., & Utterback, J. M. (1978). Patterns of innovation in industry. Technology review, 80(7), 40-47.
Albert, M. B., Avery, D., Narin, F., & McAllister, P. (1991). Direct validation of citation counts as indicators of industrially important patents. Research Policy, 20(3), 251-259.
Anderson, P., & Tushman, M. L. (1990). Technological Discontinuities and Dominant Designs: A Cyclical Model of Technological Change. Administrative Science Quarterly, 35(4), 604-633.
BBC Research (2007, June). Nanofibers: Technologies and Developing Markets. Retrieved November 24, 2010, from http://www.bccresearch.com/report/NAN043A.html
Breitzman, A., & Thomas, P. (2002). Using patent citation analysis to target/value mergers and acquisitions candidates. [Article]. Research Technology Management, 45(5), 28.
Breitzman, Anthony F., &Narin, F. (2001). Method and Apparatus for Choosing a Stock Portfolio, based on Patent Indicators. United States Patent, 6175824
Callahan, J. (2008).Patterns of Technological Innovation. RetrievedApril 10, 2011, fromhttp://www.bccresearch.com/report/NAN043A.html
Campbell, D. T. (1969). Variation and selective retention in socio-cultural evolution. General Systems, 14(1), 69-85.
Chen, Y.-S., & Chang, K.-C. (2010). The relationship between a firm's patent quality and its market value -- The case of US pharmaceutical industry. Technological Forecasting and Social Change, 77(1), 20-33.
Christensen, C. M. (1992a). Exploring the limits of the technology s-curve. Part I: Component technologies. Production and Operations Management, 1(4), 334-357.
Christensen, C. M. (1992b). Exploring the limits of the technology s-curve. Part II: Architectural technologies. Production and Operations Management, 1(4), 358-366.
Christensen, C. M., & Raynor, M. E. (2003). The innovator¡¦s solution: Creating and sustaining successful growth. Boston: Harvard Business School Press.
Christiansen, C. (1997). The innovator's dilemma: Boston: Harvard Business School Press.
Cockburn, I., & Henderson, R. (1998). Absorptive capacity, coauthoring behavior, and the organization of research in drug discovery. Journal of Industrial Economics, 46(2), 157-182.
Cong, H., & Loh, H. T. (2010). Pattern-oriented associative rule-based patent classification. Expert Systems with Applications, 37(3), 2395-2404.
Cong, H., & Tong, L. H. (2008). Grouping of TRIZ Inventive Principles to facilitate automatic patent classification. Expert Systems with Applications, 34(1), 788-795.
Criscuolo, P., & Verspagen, B. (2008). Does it matter where patent citations come from? Inventor vs. examiner citations in European patents. Research Policy, 37(10), 1892-1908.
De Nooy, W., Mrvar, A., & Batagelj, V. (2005). Exploratory Social Network Analysis with Pajek. New York: Cambridge University Press.
Dosi, G. (1982). Technological paradigms and technological trajectories: A suggested interpretation of the determinants and directions of technical change. Research Policy, 11(3), 147-162.
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. (1997). The Use of Patent Data for Technological Forecasting: The Diffusion of CNC-Technology in the Machine Tool Industry. [Article]. Small Business Economics, 9(4), 361-381.
Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25(3), 233.
Fall, C. J., Torcsvari, A., Benzineb, K., & Karetka, G. (2004). Automated categorization of germanlanguage patent documents. Expert Systems with Applications, 26(2), 269-277.
Fall, C. J., Torcsvari, A., Benzineb, K., & Karetka, G. (2003). Automated categorization in the international patent classification. In SIGIR Forum, 10-25.
Fall, C. J., Torcsvari, A., Benzineb, K., & Karetka, G. (2003). Automated categorization in the international patent classification. In SIGIR Forum, 10-25.
Fall, C., Torcsvari, A., Fievet, P., & Karetka, G. (2004). Automated categorization of German-language patent documents. Expert Systems with Applications, 26(2), 269-277.
Formhals, A.. (1934). Process and apparatus for preparing artificial threads. United States Patent, 1975504.
Foster, R. N. (1986). Innovation: The attacker's advantage: New York: Summit Books
Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239.
Galaskiewicz, J., & Wasserman, S. (Eds.). (1994). Advances in Social Network Analysis: Research in the social and behavioral sciences. Newbury Park, CA: Sage Publications.
Granovetter, M. S. (1973). The strength of weak ties. The American journal of sociology, 78(6), 1360-1380.
Griliches, Z. (1990). Patent Statistics as Economic Indicators: A Survey. Journal of Economic Literature, 28(4), 1661-1707.
Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2000). Market value and patent citations: A first look. National Bureau of Economic Research Cambridge, Mass., USA.
Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2001). Innovation in Israel 1968-1997: A Comparative Analysis Using Patent Data. Research Policy, 30(3), 363-389.
Harhoff, D., Narin, F. Scherer, F.M., &Vopel, K. (1999). Citation Frequency and the Value of Patented Inventions. Review of Economics and Statistics, 81(3), 511-515.
Harhoff, D., Scherer, F. M., & Vopel, K. (2003). Citations, Family Size, Opposition and the Value of Patent Rights. Research Policy, 32(8), 1343-1363.
Hayami, Y., & Ruttan, V. W. (1971). Agricultural development: an international perspective. Baltimore: The Johns Hopkins Press.
He, C., & Loh, H. T. (2010). Pattern-oriented associative rule-based patent classification. Expert Systems with Applications, 37(3), 2395-2404.
Henderson, R., Jaffe, A. B., & Trajtenberg, M. (1998). Universities as a Source of Commercial Technology: A Detailed Analysis of University Patenting, 1965-1988. Review of Economics and Statistics, 80(1), 119-127.
Jaffe, A. B., Trajtenberg, M., & Henderson, R. (1993). Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations. Quarterly Journal of Economics, 108(3), 577-598.
Jaffe, A. B., Newell, R. G., & Stavins, R. N. (2005). A tale of two market failures: Technology and environmental policy. Ecological Economics, 54(2-3), 164-174.
Karki, M. (1997). Patent citation analysis: A policy analysis tool. World Patent Information, 19(4), 269-272.
Kim, J. H., & Choi, K. S. (2007). Patent document categorization based on semantic structural information. Information Processing & Management, 43(5), 1200-1215.
Kline, S., & Rosenberg, N. (1986). An overview of innovation. In R. Landau & N. Rosenberg (Eds.).The positive sum strategy: Harnessing technology for economic growth (pp.275-306).Washington, DC: National Academy Press
Kim, Y. G., Suh, J. H., & Park, S. C. (2008). Visualization of patent analysis for emerging technology. Expert Systems with Applications, 34(3), 1804-1812.
Lai, K. K., & Wu, S. J. (2005). Using the patent co-citation approach to establish a new patent classification system. Information Processing & Management, 41(2), 313-330.
Larkey, L. S. (1999). A patent search and classification system. In Proceedings of the fourth ACM conference on Digital libraries, 179-183.
Larrere, R. (2009). Questioning the Nano-Bio-Info-Convergence. HYLE: VInternational Journal for Philosophy of Chemistry, 15(1), 15-20.
Li, X., Chen, H., Zhang, Z., & Li, J. (2007). Automatic patent classification using citation network information: An experimental study in nanotechnology. In Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries, 419-427.
Liu, S. J. (2003). Patent map - a route to a strategic intelligence of industrial competitiveness. Paper presented at the first Asia-Pacific conference on patent maps, Taipei.
Loh, H. T., He, C., & Shen, L. (2006). Automatic classification of patent documents for TRIZ users. World Patent Information, 28(1), 6-13.
McKelvey, M. D. (1996). Evolutionary innovations: The Business of Biotechnology. Oxford: Oxford University Press.
Narin, F. (1994). Patent citation indicators. Abstracts of Papers of the American Chemical Society, 208, 42-53.
Narin, F. (1995). Patents as indicators for the evaluation of industrial research output. Scientometrics, 34(3), 489-496.
Narin, F., Noma, E., & Perry, R. (1987). Patents as indicators of corporate technological strength. Research Policy, 16(2-4), 143-155.
Narin, F., Noma, E., & Perry, R. (1987). Patents as indicators of corporate technological strength. Research Policy, 16(2-4), 143-155.
National Science and Technology Council (2000). National Nanotechnology Initiative: The Initiative and its Implementation Plan: Washington, DC: National Science and Technology Council.
Nelson, R. R., & Winter, S. G. (1977). In search of useful theory of innovation. Research Policy, 6(1), 36-76.
Nelson, R. R., & Winter, S. G. (1982). Winter. An evolutionary theory of economic change. Cambridge, Mass: Belknap Press of Harvard University Press.
National NanotechnologyInitiative (2006). What is Nanotechnology?Retrieved March11, 2011, from http://www.nano.gov/nanotech-101/what/definition
Nohria, N., &Eccles, R. (1992). Face to face: making network organizations work. In: N. Nohria& R.G. Eccles (Eds.). Networks and Organizations: Structure, Form, and Action (pp.288-308). Boston: Harvard Business School Press.
Ondarcuhu, T., & Joachim, C. (1998). Drawing a single nanofibre over hundreds of microns. Europhysics Letters, 42(2), 215-220.
Ramakrishna, S., Fujihara, K., Teo, W. E., Lim, T. C., & Ma, Z. (2005). An introduction to electrospinning and nanofiber. Singapore: World Scientific Pub Co Inc.
Richter, G., & MacFarlane, A. (2005). The impact of metadata on the accuracy of automated patent classification. World Patent Information, 27(1), 13-26.
Roco, M. C., & Bainbridge, W. S. (2002). Converging Technologies for Improving Human Performance: Nanotechnology, Biotechnology, Information Technology and the Cognitive Science. Arlington, VA: National Science Foundation.
Rosenkopf, L., & TushmanM. L. (1994). The coevolution of technology and organization. In: J. Baum & J. Singh (Eds.), Evolutionary dynamics of organizations (pp.403-424). Oxford: Oxford University Press.
Roussel, P. A. (1984). Technological maturity proves a valid and important concept. Research Management, 27(1), 29-34.
Sahal, D. (1981). Patterns of technological innovation. Reading, Mass: Addison-Wesley.
Sahal, D. (1985). Technological guideposts and innovation avenues. Research Policy, 14(2), 61-82.
Schumpeter, J. (1928). The instability of capitalism. The Economic Journal, 38(151), 361-386.
Schumpeter, J. A. (1934). The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle (Redvers Opie, Trans.). Cambridge, MA: Harvard University Press. (Original work published 1912)
Schumpeter, J. A. (1939). Business cycles: A theoretical, historical, and statistical analysis of the capitalist process. New York: McGraw-Hill.
Schumpeter, J. A. (1942). Capitalism, socialism and democracy. New York: Harper & Row.
Schumpeter, J. A. (1947). The creative response in economic history. The Journal of Economic History, 7(2), 149-159.
Scott, J. (2000). Social Network Analysis: A Handbook. Newberry Park, London: Sage Publications.
Smalley, R. (1999). Nanotechnology. Prepared written statement and supplemental material of RE Smalley, Rice University, US House of Representatives Committee on Science, Basic Research Subcommittee Hearings, US Government, Washington, DC.
Sparrowe, R. T., & Liden, R. C. (2005). Two routes to influence: Integrating leader-member exchange and social network perspectives. Administrative Science Quarterly, 50(4), 505-535.
Stuart, T. E., & Podolny, J. M. (1996). Local search and the evolution of technological capabilities. Strategic Management Journal, 17, 21-38.
Teece, D. J. (1996). Firm Organization, Industrial Structure, and Technological Innovation. Journal of Economic Behavior and Organization, 31(2), 193-224.
Thomas, P., & Narin, F. (2004). System and method for producing technology-based price targets for a company stock. United States Patent, 6832211.
Trajtenberg, M. (1990). A penny for your quotes: Patent citations and the value of innovations. RAND Journal of Economics, 21(1), 172-187.
Trajtenberg, M., Henderson, R., & Jaffe, A. B. (2002). University versus corporate patents: A window on the business of invention. Cambridge: MA: MIT Press.
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.
Tushman, M. L., & Rosenkopf, L. (1992). Organizational determinants of technological change: toward a sociology of technological evolution. Research in organizational behavior, 14, 311-311.
Utterback, J. M. (1994). Mastering the Dynamics of Innovation. Boston, MA: Harvard Business School Press.
Utterback, J. M., & Suárez, F. F. (1993). Innovation, competition, and industry structure. Research Policy, 22(1), 1-21.
Van de Ven, A. H., &Garud, R. (1994). The coevolution of technical and institutional events in the development of an innovation. In Baum, J.A.C. and Singh, J.V. (Eds.) , The Development of an Innovation (pp.425-433). New York: Oxford University Press.
Van de Ven, A. H., & Rogers, E. M. (1988). Innovations and organizations: Critical perspectives. Communication research, 15(5), 632-651.
Wasserman, S. &Galaskiewicz, J. (1994). Advances in Social Network Analysis: Research in the social and behavioral sciences. Newbury Park, CA: Sage Publications.
Wasserman, S., & Faust. K. (1994). Social Network Analysis: Methods and Applications. New York: Cambridge University Press.
Wellman, B., & Berkowitz, S. D. (Eds.). (1988). Social structures: A network approach. New York, NY: Cambridge University Press.

連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top