臺灣博碩士論文加值系統

大學肩負擴散創新知識與技術以及促進經濟成長的使命。大學技術移轉的活動包含多重的機制，例如專利申請、專利獲證、專利授權、技術授權、委託研究、合作研究、科技創業及其他正式或非正式之資訊移轉等。在許多國家中，藉由大學從政府接受經費進行基礎研究中，產出與擴散創新技術給企業。我們可以從專利資料查出台灣的大學研究能量的相關重要資訊。
我們以台灣的大學為研究基礎，本研究使用USPTO專利資料庫查詢台灣的大學所產出的專利知識與引證關係。從專利分析資料得出自2002年台灣的大學專利數量顯著增加，也可以看出台灣主要研究型大學的研究領域與專利引證資訊。為了進一步探討大學技術移轉影響績效之重要驅動因子，本研究亦界定出影響大學技術移轉多面向績效驅動因子的整合性架構，主要目的在於確認績效驅動因子，瞭解各個績效驅動因子之相對重要性。研究方法結合模糊德菲法(Delphi Fuzzy method)、詮釋結構模式(ISM) 與分析網路程序法 (ANP)。實證中得到人力資本與制度/文化資源是提升台灣的大學技術移轉績效兩項最重要的資源。教師素質與技術移轉中心規模是人力資源構面最重要的驅動因子，獎勵機制與技轉中心經驗是制度/文化資源構面最重要的驅動因子。最後，本研究根據研究結果提出相關策略及管理上的建議。

Universities are designated to disseminate innovative knowledge and technologies to enterprises and facilitate the economic growth. The activities of university technology transfer are composed of a multitude of mechanisms, such as patent applications and patent granted, patent licensing, technology licensing, contract research, collaboration research, technology-oriented start-up, and other forms of formal or informal information transfer. The university sector, receiving government funding to perform basic research, is designated to produce and widely disseminate innovative knowledge to industry in many countries. Knowledge occurred in university research can be traced with patent data.
Take Taiwan’s universities as a research base, this study investigates the knowledge creation and citation of Taiwan’s universities by USPTO patent database. The patent analysis finds a dramatic increase in the number of university patent after 2002 and some observations of research areas and patent citation in research universities are derived. This study also intends to identify the critical drivers of the multitudinous outputs of university technology transfer in order to understand the important factors of performance of technology transfer. Fuzzy Delphi method, interpretive structural modeling (ISM), and analytic network process (ANP) are employed sequentially to derive the relative importance of the performance drivers. The human capital and the institutional/culture resources are two most emphasized resources towards the improvement of university technology transfer in Taiwan. Faculty quality and size of technology transfer offices are the most critical drivers within the dimension of human capital. Incentive policy and experience of technology transfer offices are the most critical drivers within the dimension of institutional /culture resources. Finally, some policy implications are derived based on this results.

Table of Contents
Chinese Abstract i
English Abstract ii
Acknowledge iii
Table of Contents vii
List of Tables ix
List of Figures x
I. Introduction 1
1.1. Research Background 1
1.2. Research Purposes 2
1.3. Organization of the Dissertation 3
II. Literature Review 4
2.1 Technology Diffusion and Patent Analysis 4
2.2 Technology Transfer Theoretical Background 7
III. Exploration of Technology Trajectory of University 11
3.1 The Performance of University Technology Transfer 11
3.2 Technology Trajectory from Patent Data in Taiwan’s University 17
3.2.1 Patent Data in Taiwan’s University 17
3.2.2 Knowledge inflow and outflow 21
3.3 The performance of Taiwan’s university research capability 32
IV. Framework Development of Performance Drivers 42
4.1 Human Resources 42
4.2 Institutional / Culture Resources 44
4.3 Financial Resources 47
4.4 Commercial Resources 49
V. Methodology 53
5.1 The Research Process 54
5.2 Fuzzy Delphi Method 57
5.3 Interpretive Structure Method 57
5.4 Analytic Network Process 58
VI. Empirical Analysis 61
6.1 Verify the Appropriateness of Performance Drivers 61
6.2 Construct the Network Relationship among Performance Drivers 64
6.3 Identify the relative importance of performance drivers 65
6.4 Discussion 70
VII. Conclusions and Suggestions 73
7.1 Policy Implication 73
7.2 Suggestions for future studies 75
References 76
Appendix 1. Questionnaire of Fuzzy Delphi Method 87
Appendix 2. Questionnaire of Analytic Network Process 88
Autobiography 91

Abramo, G., D’Angelo, C. A., Di Costa, F. &; Sollazzi, M. (2009). University-industry collaboration in Italy: a bibliometric examination. Technovation, 29(6-7), 498-507.
Acs, Z. J., Anselin, L. &; Varga, A. (2002). Patents and innovation counts as measures of regional production of new knowledge. Research Policy, 31(7), 1069-1085.
Agrawal, A. &; Cockburn, I. (2003). The anchor tenant hypothesis: exploring the role of large, local, R&;D-intensive firms in regional innovation systems. International Journal of Industrial Organization, 21(9), 1227-1253.
Allen, T. J. (1977). Managing the Flow of Technology. Cambridge: The MIT Press.
Ambramovitz, M. (1956). Catching up, forging ahead and falling behind. Journal of Economic History, 46(2), 385-406.
Anselin, L., Varga, A. &; Acs, Z. (1997). Local geographic spillovers between university research and high technology innovations. Journal of Urban Economics, 42(3), 422-448.
Anselin, L., Varga, A. &; Acs, Z. J. (2000). Geographical spillovers and university research: a spatial econometric perspective. Growth and Change, 31(4), 501-515.
Appleyard, M. M. (1996). How does knowledge flows? Interfirm patterns in the semiconductor industry. Strategic Management Journal, 17(S1), 137-154.
Audretsch, D. &; Stephan, P. (1996). Company-scientist locational links: the case of biotechnology. American Economic Review, 86(3), 641-652.
Bañuls, V. A. &; Turoff, M. (2011). Scenario construction via Delphi and cross-impact analysis. Technological Forecasting and Social Change, 78(9), 1579-1602.
Bart, V. (2006). University research, intellectual property rights and European innovation systems. Journal of Economic Surveys, 20(4), 607-632.
Caballero, R., &; Jaffe, A. (1993). How high are the giants’ shoulders: An empirical assessment of knowledge spillovers and creative destruction in a model of economic growth. In O. Blanchard &; S. Fischer (Eds.), NBER Macroeconomics Annual, Vol. 8. Cambridge, MA: MIT Press.
Caldera, A. &; Debande, O. (2010). Performance of Spanish universities in technology transfer: an empirical analysis. Research Policy, 39(9), 1160-1173.
Carlsson, B. &; Fridh, A. (2002). Technology transfer in United States universities: a survey and statistical analysis. Journal of Evolutionary Economics, 12(1-2), 199-232.
Carlsson, B. &; Stankiewicz, J. (1991). On the nature, function, and composition of technological systems. Journal of Evolutionary Economics, 1(2), 38-55.
Chang, Y. C., Chen, M. H., Hua, M. &; Yang, P. Y. (2005). Industrializing academic knowledge in Taiwan. Research-Technology Management, 48(4), 45-50.
Chang, Y. C., Chen, M. H., Hua, M. &; Yang, P. Y. (2006). Managing academic innovation in Taiwan: towards a “scientific—economic” framework. Technological Forecasting &; Social Change, 73(2), 199-213.
Chang, Y. C., Yang, P. Y., &; Chen, M. H. (2009). The determinants of academic research commercial performance: Towards an organizational ambidexterity perspective. Research Policy, 38(6), 936-946.
Chang, Y. H., Lin, P. F. &; Weng, S. Y. (2008). Exploring the development of the organizations and staffs of technology transfer in the universities and R&;D institutions of Taiwan. Commerce &; Management Quarterly, 9(4), 525-545.
Chapple, W., Lockett, A., Siegel, D. &; Wright, M. (2005). Assessing the relative performance of U.K. university technology transfer offices: parametric and non-parametric evidence. Research Policy, 34(3), 369-384.
Chen, K. &; Kenny, M. (2007). Universities/research institutes and regional innovation systems: the case of Beijing and Shenzhen. World Development, 35(6), 1056-1074.
Choung, J. Y., Min, H. G. &; Park, M. C. (2003). Patterns of knowledge production: the case of information and telecommunication sector in Korea. Scientometrics, 58(1), 115-128.
Clarke, B. R. (1998). Creating Entrepreneurial Universities: Organizational Pathways of Transformation. Bingley: Emerald.
Cohen, W. M., Nelson, R. R. &; Walsh, J. P. (2002). Links and impacts: the influence of public research on industrial R&;D. Management Science, 48(1), 1-23.
Clarysse, B., Tartari, V. &; Salter, A. (2011). The impact of entrepreneurial capacity, experience and organizational support on academic entrepreneurship. Research Policy, 40(8), 1084-1093.
D’Este, P. &; Patel, P. (2007). University-industry linkages in the UK: what are the factors underlying the variety of interactions with industry? Research Policy, 36(9), 1295-1313.
Debackere, K. &; Veugelers, R. (2005). The role of academic technology transfer organizations in improving industry science links. Research Policy, 34(3), 321-342.
Di Geogorio, D. &; Shane, S. (2003). Why do some universities generate more start-ups than others? Research Policy, 32(2), 209-227.
Dodgson, M. (2009). Asia’s national innovation systems: institutional adaptability and rigidity in the face of global innovation challenges. Asia Pacific Journal of Management, 26(3), 589-609.
Dodgson, M., Mathews, J., Kastelle, T. &; Hu, M. C. (2008). The evolving nature of Taiwan’s national innovation system: the case of biotechnology innovation networks. Research Policy, 37(3), 430-445.
Fang, S. C., Lin, J. L., Hsiao, L.Y. C., Huang, C. M. &; Fang, S. R. (2002). The relationship of foreign R&;D units in Taiwan and Taiwanese knowledge-flow system. Technovation, 22(6), 371-383.
Fischer, M. M. &; Varga, A. (2003). Spatial knowledge spillovers and university research: evidence from Austria. Annals of Regional Science, 37(2), 303-322.
Foltz, J., Barham, B. &; Kim, K. (2000). Universities and agricultural biotechnology patent production. Agribusiness, 16(1), 82-95.
Fong, J. G. (2005). Lessons learned from international innovation system: What Taiwan can learn and do for its innovation system. Sci-Tech Policy Review, 2, 132-150.
Freeman, C., Soete, L. &; Clark, J. (1982). Unemployment and Technical Innovation: A Study of Long Waves and Economic Development. London: Frances Pinter.
Friedman, J. &; Silberman, J. (2003). University technology transfer: do incentives, management, and location matter? Journal of Technology Transfer, 28(1), 17-30.
Furman, J. L., Porter, M. E. and Stern, S. (2002). The determinants of national innovative capacity. Research Policy, 31(6), 899-933.
Geuna, A. &; Nesta, L. J. J. (2006). University patenting and its effects on academic research: the emerging European evidence. Research Policy, 35(6), 790-807.
Gilsing, V., Bekkers, R., Bodas Freitas, I. M. &; van der Steen, M. (2011). Differences in technology transfer between science-based and development-based industries: transfer mechanisms and barriers. Technovation, 31(12), 638-647.
Giuliani, E. &; Arza, V. (2009). What drives the formation of “valuable” university-industry linkages? Insights from the wine industry. Research Policy, 38(6), 906-921.
Goto, A. (2000). Japan’s national innovation system: current status and problems. Oxford Review of Economic Policy, 16(2), 103-113.
Henderson, R., Jaffe, A. &; Trajtenberg, M. (1998). Universities as a source of commercial technology: a detailed analysis of university patenting, 1965-1988. Review of Economic and Statistics, 80(1), 119-127.
Higher Education Evaluation &; Accreditation Council of Taiwan (2010). 2010 WOS technology paper analysis. Retrieved March 5, 2012, from http://wos.heeact.edu.tw/zh-tw/2010/University/All
Horng, J. S., Hsu, H., Liu, C. H., Lin, L. &; Tsai, C. Y. (2011). Competency analysis of top managers in the Taiwanese hotel industry. International Journal of Hospitality Management, 30(4), 1044-1054.
Hsu, D. W. L. &; Yuan, B. J. C. (2013). Knowledge creation and diffusion of Taiwan’s universities: knowledge trajectory from patent data. Technology in Society, 35(3), 172-181.
Hu, A. G. Z. &; Jaffe, A. B. (2003). Patent citations and international knowledge: the case of Korea and Taiwan. International Journal of Industrial Organization, 21(6), 849-880.
Hu, M. C. (2008). Knowledge flows and innovation capability: the patenting trajectory of Taiwan’s thin film transistor-liquid crystal display industry. Technological Forecasting and Social Change, 75(9), 1423-1438.
Hu, M. C. (2011). Evolution of knowledge creation and diffusion: the revisit of Taiwan’s Hsinchu Science Park. Scientometrics, 88(3), 949-977.
Huang, J. J., Tzeng, G. H. &; Ong, C. S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755-767.
Huang, M. H. (2010). 2010 Taiwan ESI paper performance analysis. Evaluation Bimonthly, 25, 23-31.
Huang, M. H., Chang, H. W. &; Chen, D. Z. (2006). Research evaluation of research-oriented universities in Taiwan from 1993 to 2003. Scientometrics, 67(3), 419-435.
Inzelt, A. (2004). The evolution of university-industry-government relationships during transition. Research Policy, 33(6-7), 975-995.
Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R. &; Mieno, H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems, 35(3), 241-253.
Jaffe, A. B. &; Trajtenberg, M. (1999). International knowledge flows: evidence from patent citations. Economics of Innovation and New Technology, 8(1-2), 105-136.
Jaffe, A. B., Trajtenberg, M. &; Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics, 108(3), 577-598.
Jensen, R. &; Thursby, M. (2001). Proofs and prototypes for sale: the licensing of university inventions. The American Economic Review, 91(1), 240-259.
Kannan, G., Pokharel, S. &; Kumar, P. S. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resources, Conservation and Recycling, 54(1), 28-36.
Kaplan, R. &; Norton, D. (1992). The balance scorecard—measures that drive performance. Harvard Business Review, January-February, 71-79.
Ken, Y., Chang, Y. H., Chen, Y. S. &; Weng, S. Y. (2009). The overall investigation of the development of academic institutions’ technology transfers in Taiwan. Commerce &; Management Quarterly, 10(4), 625-646.
Klir, G. J. &; Folger, T.A. (1988). Fuzzy Sets Uncertainty and Information. New Jersey: Prentice-Hall.
Kopf, D. A. (2007). Endogenous growth theory applied: strategies for university R&;D. Journal of Business Research, 60(9), 975-978.
Lach, S. &; Schankerman, M. (2004). Royalty sharing and technology licensing in universities. Journal of the European Economic Association, 2(2/3), 252-264.
Lee, A. H. I., Wang, W. M. &; Lin, T. Y. (2010). An evaluation framework for technology transfer of new equipment in high technology. Technological Forecasting &; Social Change, 77(1), 135-150.
Lee, K. J., Ohta, T. &; Kakehi, K. (2010). Formal boundary spanning by industry liaison offices and the changing pattern of university—industry cooperative research: the case of the University of Tokyo. Technology Analysis &; Strategic Management, 22(2), 189-206.
Lee, W. S., Tzeng, G. H., Guan, J. L., Chien, K. T. &; Huang, J. M. (2009). Combined MCDM techniques for exploring stock selection based on Gordon model. Expert Systems with Applications, 36(3), 6421-6430.
Lee, Y. S. (1996). “Technology transfer” and the research university: a search for the boundaries of university-industry collaboration. Research Policy, 25(6), 843-863.
Leydesdorff, L. &; Sun, Y. (2009). National and international dimensions of the triple helix in Japan: university-industry-government versus international coauthorship relations. Journal of American Society for Information Science and Technology, 60(4), 778-788.
Lichtenthaler, U. &; Ernst, H. (2010). Integrated knowledge exploitation: the complementarity of product development and technology licensing. Strategic Management Journal, 33(5), 513-534.
Link, A. N. &; Siegel, D. S. (2005). Generating science-based growth: an econometric analysis of the impact of organizational incentives on university—industry technology transfer. European Journal of Finance, 11(3), 169-182.
Li, X. (2009). China’s regional innovation capacity in transition: an empirical approach. Research Policy, 38(2), 338-357.
Lockett, A. &; Wright, M. (2005). Resources capabilities, risk capital and the creation of university spin-out companies. Research Policy, 34(7), 1043-1057.
Lockett, A., Siegel, D., Wright, M. &; Ensley, M. (2005). The creation of spin-off firms at public research institutions: managerial and policy implications. Research Policy, 34(7), 981-993.
Main, S. (1996). Assessing value-added contributions of university technology business incubators to tenant firms. Research Policy, 25(3), 325-335.
Mathews, J. A. &; Hu, M. C. (2007). Enhancing the role of universities in building national innovative capacity in Asia: the case of Taiwan. World Development, 35(6), 1005-1020.
Matkin, G. W. (1990). Technology Transfer and the University. New York: MacMillan Publishing Company.
Meade, L. M. &; Sarkis, J. (1999). Analyzing organizational project alternatives for agile manufacturing processes: An analytical network approach. International Journal of Production Research, 37(2), 241-261.
Mensch, G. (1979). Stalemate in Technology: Innovations Overcome the Depression. New York: Ballinger.
Moreno, R., Paci, R. &; Usai, S. (2005). Spatial spillovers and innovation activity in European regions. Environment and Planning A, 37(10), 1793-1812.
Mowery, D. &; Nelson, R. R. (Eds.). (1999). Sources of Industrial Leadership: Studies of Seven Industries. Cambridge: Cambridge University Press.
Mowery, D. C. (1998). The changing structure of the US national innovation system: implications for international conflict and cooperation in R &; D policy. Research Policy, 27(6), 639-654.
Narin, F., Hamilton, K. S. &; Olivastro, D. (1997). The increasing linkage between U.S. technology and public science. Research Policy, 26(3), 317-330.
National Science Council (2005). Indicators of Science and Technology Taiwan. Taipei: National Science Council
National Science Council (2008). 2008 National Science Council Annual Report. Taipei: National Science Council.
National Science Council (2010). Indicators of Science and Technology Taiwan. Taipei: National Science Council.
Nelson, R. (1993). National innovation systems: A comparative analysis. Oxford, UK: Oxford University Press.
Nicole, A. &; Niron, H. (2007). Knowledge flows and the modelling of the multinational enterprise. International Journal of Business Studies, 38(4), 639-657.
Niemira, M. P. &; Saaty, T. L. (2004). An analytic network process model for financial-crisis forecasting. International Journal of Forecasting, 20(4), 573-587.
Niosi, J. (Ed.). (1991). Technology and National Competitiveness: Oligopoly, Technological Innovation, and International Competition. Montreal: Mc-Gill-Queen’s University Press.
O’Shea, R. P., Allen, T. J., Mores, K. P., O’Gorman, C. &; Roche, F. (2007). Delineating the anatomy of an entrepreneurial university: the Massachusetts Institute of Technology experience. R&;D Management, 37(1), 1-16.
O’Shea, R., Allen, T. &; Chevalier, A. (2005). Entrepreneurial orientation, technology transfer, and spin-off performance of US universities’. Research Policy, 34(7), 994-1009.
Perkmann, M. &; Walsh, K. (2007). University-industry relationships and open innovation: towards a research agenda. International Journal of Management Review, 9(4), 259-280.
Petruzzelli, A. M. (2011). The impact of technological relatedness, prior ties, and geographical distance on university-industry collaboration: a joint-patent analysis. Technovation, 31(7), 309-319.
Ponds, P., van Oort, F. &; Frenken, K. (2010). Innovation, spillovers and university-industry collaboration: an extended knowledge production function approach. Journal of Economic Geography, 10(2), 231-255.
Porter, M. E. (1990). The Competitive Advantage of Nations. New York: Free Press.
Powers, J. &; McDougall, P. (2005). University start-up formation and technology licensing with firms that go public: a resource based view of academic entrepreneurship. Journal of Business Venturing, 20(3), 291-311.
Powers, J. (2003). Commercializing academic research resource effects on performance of university technology transfer. The Journal of Higher Education, 74(1), 26-50.
Rasmussen, E. &; Sørheim, R. (2012). How governments seek to bridge the financing gap for university spin-offs: proof-of-concept, pre-seed, and seed funding. Technology Analysis &; Strategic Management, 24(7), 663-678.
Ravi, V. &; Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting and Social Change, 72(8), 1011-1029.
Rhoten, D. &; Powell, W. (2007). The frontiers of intellectual property: Expanded protection vs. new models of open science. Annual Review of Law and Social Science, 3, 345-373.
Rogers, E. M., Yin, Y. &; Hoffmann, J. (2000). Assessing the effectiveness of technology transfer offices at U.S. research universities. The Journal of the Association of University Technology Managers, 12, 47-80.
Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002-1037.
Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5), S71-S102.
Rosell, C., &; Agrawal, A. (2009). Have university knowledge flow narrowed? Evidence from patent data. Research Policy, 38(1), 1-13.
Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: Mcgraw-Hill.
Saaty, T. L. (1996). Decision making with dependence and feedback: the analytic network process. Pittsburgh: RWS Publications Publishers.
Sampat, B. N., Mowery, D. C. &; Ziedonis, A. A. (2003). Changes in university patent quality after the Bayh-Dole act: a re-examination. International Journal of Industrial Organization, 21(9), 1371-1390.
Sato, Y. (1997). Diverging development paths of the electronics industry in Korea and Taiwan. Developing Economies, 35(4), 401-421.
Schartinger, D., Rammer, C., Fischer, M. M. &; Frohlich, J. (2002). Knowledge interactions between universities and industry in Austria: sectoral patterns and determinants. Research Policy, 31(3), 303-328.
Schumpeter, J. A. (1939). Business Cycles: A Theoretical, Historical and Statistical Analysis of the Capitalist Process. New York: McGraw-Hill.
Shane, S. (2004). Encouraging university entrepreneurship? The effect of the Bayh-Dole Act on university patenting in the United States. Journal of Business Venturing, 19(1), 127-151.
Sharma, H. D., Gupta, A. D. &; Sushil. (1995). The objectives of waste management in India: a futures inquiry. Technological Forecasting and Social Change, 483(3), 285-309.
Shen, Y. C., Chang, S. H., Lin, G. T. R. &; Yu, H. C. (2010). A hybrid selection model for emerging technology. Technological Forecasting &; Social Change, 77(1), 151-166.
Siegel, D. S., Veugelers, R. &; Wright, M. (2007). Technology transfer offices and commercialization of university intellectual property: performance and policy implications. Oxford Review of Economic Policy, 23(4), 640-660.
Siegel, D. S., Waldman, D. &; Link, A. (2003). Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study. Research Policy, 32(1), 27-48.
Siegel, D. S., Waldman, D. A., Atwater, L. E. &; Link, A. N. (2004). Toward a model of the effective transfer of scientific knowledge from academia to practitioners: qualitative evidence from the commercialization of university technology. Journal of Engineering and Technology Management, 21(1-2), 115-142.
Simmie, J. (1998). Reasons for the development of “islands of innovation”: evidence from Hertfordshire. Urban Studies, 35(8), 1261-1289.
Singh, M. D., Shankar, R., Narain, R. &; Agarwal, A. (2003). An interpretive structural modeling of knowledge management in engineering industries. Journal of Advances in Management Research, 1(1), 28-40.
Smilor, R. &; Gill Jr., M. (1986). The New Business Incubator: Linking Talent, Technology, Capital, and Know-how. Lexington: Lexington Books.
Solow, R. (1957) Technical change and the aggregate production function. Review of Economics and Statistics, 39(3), 312-320.
Sorenson, O., Rivkin, J. W. &; Fleming, L. (2006). Complexity, networks and knowledge flow. Research Policy, 35(7), 994-1017.
Stephan, P. E., Sumell, A. J., Black, G. C. &; Adams, J. D. (2004). Doctoral education and economic development: the flow of new Ph.D.s to industry. Economic Development Quarterly, 18(2), 151-167.
Study in Taiwan (2009). Aim for the Top University and Elite Research Center Development Plan. Retrieved October 20, 2011, from http://www.studyintaiwan.org/en/why49.html
Study in Taiwan (2013). The Aim for the Top University Project. Retrieved August, 15, 2013, from http://www.studyintaiwan.org/top_universities.html
Thakkar, J., Deshmukh, S., Gupta, A. D. &; Shankar, R. (2007). Development of a balanced scorecard: an integrated approach of interpretive structural modeling (ISM) and analytic network process (ANP). International Journal of Productivity and Performance Management, 56(1), 25-59.
Thursby, J. G. &; Kemp, S. (2002). Growth and productive efficiency of university intellectual property licensing. Research Policy, 31(1), 109-124.
Tsai, M. C., &; Tsai, T. C. (2007). The myth and loss of university technology licensing and business incubator. NCCU Intellectual Property Review, 5(2), 81-98.
Verbeek, A., Debackere, K., Luwel, M., Andries, P., Zimmermann, E. &; Deleus, F. (2002). Linking science to technology: using bibliographic references in patents to build linkage schemes. Scientometrics, 54(3), 399-420.
Walsh, P. (1996). Finding key performance drivers: some new tools. Total Quality Management, 7(5), 509-519.
Wang, J. C., Chiang, C. H. &; Lin, S. W. (2010). Network structure of innovation: can brokerage or closure predict patent quality? Scientometrics, 84(3), 735-748.
Wang, W. M., Lee, A. H. I., Peng, L. P. &; Wu, Z. L. (2013). An integrated decision making model for district revitalization and regeneration project selection. 54(2), 1092-1103.
Warfield, J. N. (1973a). On arranging elements of a hierarchy in graphic form. IEEE Transactions on Systems, Man, and Cybernetics, 3(2), 121-132.
Warfield, J. N. (1973b). Binary matrices in system modeling. IEEE Transactions on Systems, Man, and Cybernetics, 3(5), 441-449.
Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171-180.
Wright, M., Vohora, A. &; Lockett, A. (2004). The formation of high-tech university spinouts: the role of joint ventures and venture capital investors. Journal of Technology Transfer, 29(3-4), 287-310.
Wu, W. (2007). Cultivating research universities and industrial linkages in China: the case of Shanghai. World Development, 35(6), 1075-1093.
Yang, J. L., Chiu, H. N., Tzeng, G. H. &; Yeh, R. H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences, 178(21), 4166-4183.

AUTM U.S. Licensing Activity Survey (2014,January 8).
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National Science Council 2012Annual Report (2014, January 8)
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