Adner, R. & Levinthal, D. (2001). Demand heterogeneity and technology evolution: Implications for product and process innovation. Management Science, 47(5), 611-628.
Arbel, A. & Shapira, Y. (1999). A decision framework for evaluating vacuum pumping technology. Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, 4(2), 387-411.
Armacost, R. L., Hosseini, J. C. & Pet-Edwards, J. (1999). Using the analytic hierarchy process as a two-phase integrated decision approach for large nominal groups. Group Decision and Negotiation, 8(6), 535-555.
ATP (2010). How ATP Works. Retrieved March 22, 2010, from http://www.atp.nist.gov/atp/overview.htm
Baker, N. R. (1974). R&D project selection models: An assessment. IEEE Transactions on Engineering Management, 21(4), 165-171.
Bakos, Y. (1998). The Productivity Payoff of Computers. In: D.E. Sichel (Eds.), The Computer Revolution: An Economic Perspective. Washington: Brookings Institute Press.
Balachandra, R. & Friar, J. H. (1997). Factors for success in R&D projects and new product innovation: A contextual framework. IEEE Transactions on Engineering Management, 44(3), 276-287.
Ballard, S. C. & Hall, T. A. (1984). Theory and practice of integrated impact assessment: The case of the western energy study. Technological Forecasting and Social Change, 25(1), 37-48.
Ba?皯ls, V. A. & Salmeron, J. L. (2007). A scenario-based assessment model—SBAM. Technological Forecasting and Social Change, 74(6), 750-762.
Ba?皯ls, V. A. & Salmeron, J. L. (2008). Foresighting key areas in the information technology industry. Technovation, 28(3), 103-111.
Barbiroli, G. (1990). A new method to evaluate the specific and global advantage of a technology. Technovation, 10(2), 73-93.
Bard, J. F. & Feinberg, A. (1989). A two-phase methodology for technology selection and system design. IEEE Transaction on Engineering Management, 36(1), 28-36.
Benson, B., Sage, A. P. & Cook, G. (1993). Emerging technology-evaluation methodology: With application to micro-electromechanical systems. IEEE Transaction on Engineering Management, 40(2), 114-123.
Berg, M., Chen, K. & Zissis, G. (1976). A value-oriented policy generation methodology for technology assessment. Technological Forecasting and Social Change, 8(4), 401-420.
Berloznik, R. & van Langehove, L. (1998). Integration of technology assessment in R&D management practices. Technological Forecasting and Social Change, 58(1-2), 23-33.
Bernstein, R. (1983). Beyond Objectivism and Relativism. London: Basil Blackwell.
Berry, M. M. & Taggart, J. H. (1994). Managing technology and innovation: A review. R&D Management, 24(4), 341-353.
Bhat, V. (1991). Generic risk reduction strategies for R&D projects. Technology Management: the New International Language, 262-265.
Black, T. (1993). Evaluating Social Science Research. London: Sage.
Bohm, E. & Walz, R. (1996). Life-cycle-analysis: A methodology to analyse ecological consequences within a technology. International Journal of Technology Management, 11(5/6), 554-566.
Braga, H. & Willmore, L. (1991). Technological imports and technological effort: An analysis of their determinants in Brazilian firms. The Journal of Industrial Economics, 39(4), 421-432.
Brooks, K. W. (1979). Delphi techniques: Expanding applications. North Central Association Quarterly, 53(3), 377-385.
B?呔?冹?庂kan, G. (2004). Multi-criteria decision making for e-marketplace selection. Internet Research, 14(2), 139–154.
Cano, V. (2010). Reliability & Validity in Qualitative Research. Retrieved April 30, 2010, from http://www.qmu.ac.uk/psych/rtrek/study_notes/web/sn5.htm
Cantwell, J. (1992). The Internalization of Technological Activity and Its Implications for Competitiveness. In: O. Grandstrand, L. HakanSon, S. Sjolander (Eds.), Technology Management and International Business: Internationalisation of R&D and Technology. New York: Wiley.
Chan, F. T. S., Chan, H. K., Chan, M. H. & Humphreys, P. K. (2006). An integrated fuzzy approach for the selection of manufacturing technologies. International Journal of Advanced Manufacturing, 27(7-8), 747-758.
Chang, P. T., Huang, L. C. & Lin, H. J. (2000). The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets and Systems, 112(3), 511-520.
Chapelet, B. & Tovstiga, G. (1998). Development of a research methodology for assessing a firm’s business process-related technologies. International Journal of Technology Management, 15(1/2), 10-30.
Chau, O. L. & Parkan, C. (1995). Selection of a manufacturing process with multiple attributes: A case study. Journal of Engineering and Technology Management, 12(3), 219-237.
Chen, C. H. & Huang, S. W. (2005). Organic electroluminescent materials & Devices. Taipei: Wu Nan Publishing Company.
Chen, C. H. & Huang, S. W. (2007). OLED: materials and devices of dream displays. Taipei: Wu Nan Publishing Company.
Chen, H. H., Kang, H. Y., Xing, X., Lee, A. H. I. & Tong, Y. (2008). Developing new products with knowledge management methods and process development management in a network. Computers in Industry, 59(2-3), 242-253.
Chen, K., Jarboe, K. & Wolfe, J. (1981). Long-range scenario construction for technology assessment. Technological Forecasting and Social Change, 20(1), 27-40.
Cho, K. T. & Kwon, C. S. (2004). Hierarchies with dependence of technological alternatives: A cross-impact hierarchy process. European Journal of Operational Research, 156(2), 420-432.
Clark, K. (1989). What strategy can do for technology? Harvard Business Review, 67(6), 94-98.
Coates, J. F. (1974). Some methods and techniques for comprehensive impact assessment. Technological Forecasting and Social Change, 6, 341-357.
Coates, J. F. (1976). The role of formal models in technology assessment. Technological Forecasting and Social Change, 9(1-2), 139-190.
Coates, J. F. (2001). A 21st century agenda for technology assessment. Technological Forecasting and Social Change, 67(2-3), 303-308.
Cochran, S. W. (1983). The Delphi method: Formulating and refining group judgments. Journal of Human Science, 2(2), 111-117.
Coldrick, S., Longhurst, P., Ivey, P. & Hannis, J. (2005). An R&D options selection model for investment decisions. Technovation, 25(3), 185-193.
Cooper, D. R. & Schindler, P. S. (2006). Business Research Methods. New York: McGraw Hill.
Cyphert, F. R. & Grant, W. (1971). The Delphi technique: A case study. Phi Delta Kappan, 52(5), 272-273.
Dailey, A. L. & Holmberg, J. C. (1990). Delphi: A catalytic strategy for motivating curriculum revision by faculty. Community/Junior College Quarterly of Research and Practice, 14(2), 129-136.
Dalkey, N. & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458-467.
Delbecq, A. L., Van de Ven, A. H. & Gustafson, D. H. (1975). Group techniques for program planning. Glenview: Scott Foreman.
Department of Industrial Technology of the Ministry of Economic Affairs (2010). The Department of Industrial Technology 2010. Taipei: Department of Industrial Technology of the Ministry of Economic Affairs.
Diffenbach, J. (1981). A compatibility approach to scenario evaluation. Technological Forecasting and Social Change, 19(2), 161-174.
Efstathiades, A., Tassou, S. A. & Oxinos, G. & Antoniou, A. (2000). Advanced manufacturing technology transfer and implementation in developing countries: The case of the Cypriot manufacturing industry. Technovation, 20(2), 93-102.
Elkington, P. & Smallmman, C. (2002). Managing project risk: a case study from utilities sector. International Journal of Project Management, 20(1), 49-57.
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.
Esposito, E. (1993). Technology measurement: A composite approach. Technological Forecasting and Social Change, 43(1), 1-17.
Faborode, M. O., Owolarafe, O. K., Lasisi, A. A., Kasali, S. A. & Oguntuase, K. S. (2003). Assessment of seed-oil extraction technology in some selected states in Nigeria. Technovation, 23(6), 545-553.
Feldman, M. P. & Kelly, M. R. (2003). Leveraging research and development: assessing the impact of the U.S. advanced technology program. Small Business Economics, 20(3), 153-165.
Frost & Sullivan Research Services (2007). Innovations in Display Technologies. Retrieved October 30, 2009, from http://www.frost.com/prod/servlet/report-brochure.pag?id=D0D7-01-00-00-00
Gaber, M. T., Rabelo, L. C., & Hosny, O. A. (1992). An integrated artificial neural networks model for industrial projects risk assessment. Paper presented at Engineering Management Conference, Eatontown, NJ.
Gagnon, R. J. & Haldar, S. (1997). Assessing advanced engineering technologies. International Journal of Technology Management, 14(2/3/4), 439-469.
Garud, R. & Ahlstrom, D. (1997). Technology assessment: A socio-cognitive perspective. Journal of Engineering and Technology Management, 14(1), 25-48.
Geisler, E. (2002). The metrics of technology evaluation: Where we stand and where we should go from here. International Journal of Technology Management, 24(4), 341-374.
Goodman, L. A. (1961). Snowball sampling. The Annuals of Mathematical Statistics, 32(1), 148-170.
Greenberg, E. & Canzoneri, C. (1995). Change management: A survey of major US corporation. New York: American Management Association.
Gregory, M. J. (1995). Technology management: A process approach. Proceedings of the Institution of Mechanical Engineers Part B. Journal of Engineering Manufacture, 209(5), 347-355.
Hackett, P. G. (1990). Investment in technology—the service sector sinkhole? MIT Sloan Management Review, 31(2), 97-103.
Hadjilambrinos, C. (1998). Technological regimes: An analytical framework for the evaluation of technological systems. Technology in Society, 20(2), 179-194.
Hajeeh, M. & Al-Othman, A. (2005). Application of the analytical hierarchy process in the selection of desalination plants. Desalination, 174(1), 97-108.
Hartmann, M. H. (1999). Theory and practice of technological corporate assessment. Journal of Engineering and Technology Management, 17(4), 504-521.
Hellstr?卌, T. (2003). Systemic innovation and risk: Technology assessment and the challenge of responsible innovation. Technology in Society, 25(3), 369-384.
Henriksen, A. D. & Traynor, A. J. (1999). A practical R&D project-selection scoring tool. IEEE Transactions on Engineering Management, 46(2), 158-170.
Holmes, C. & Ferrill, M. (2005). The application of operation and technology roadmapping to aid Singaporean SMEs identify and select emerging technologies. Technological Forecasting and Social Change, 72(3), 349-357.
Hsu, T. H. (1999). Public transport system project evaluation using the analytic hierarchy process: A fuzzy Delphi approach. Transportation Planning and Technology, 22(4), 229-246.
Hsu, Y. G., Tzeng, G. H. & Shyu, J. Z. (2003). Fuzzy multiple criteria selection of government-sponsored frontier technology R&D projects. R&D Management, 33(5), 539-551.
Huang, C. C., Chu, P. Y. & Chiang, Y. H. (2008). A fuzzy AHP application in government-sponsored R&D project selection. Omega-International Journal of Management Science, 36(6), 1038-1052.
Huang, G. Q. & Mak, K. L. (1999). Current practices of engineering change management in UK manufacturing industries. International Journal of Operations & Production Management, 19(1), 21-37.
Huang, L. C. & Wu, R. Y. H. (2005). Applying fuzzy analytic hierarchy process in the managerial talent assessment model—an empirical study in Taiwan's semiconductor industry. International Journal of Technology Management, 30(1-2), 105-130.
Hwang, C. L. & Lin, M. J. (1987). Group Decision Making under Multiple Criteria: Methods and Applications. New York: Springer-Verlag.
IEK (2006). 2006 Opto-Electronics Industry Yearbook. Taipei: Ministry of Economic Affairs.
IEK (2008). 2008 Opto-Electronics Industry Yearbook. Taipei: Ministry of Economic Affairs.
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.
Jeong, G. H. & Kim, S. H. (1997). A qualitative cross-impact approach to find the key technology. Technological Forecasting and Social Change, 55(3), 203-214.
Kaplan, S. & Tripsas, M. (2008). Thinking about technology: Applying a cognitive lens to technical change. Research Policy, 37(5), 790-805.
Khalil, T. M. (2000). Management of Technology: The Key to Competitiveness and Wealth Creation. New York: McGraw-Hill.
Khorramshahgol, R. & Moustakis, V. S. (1988). Delphic hierarchy process (DHP): A methodology for priority setting derived from the Delphi method and analytical hierarchy process. European Journal of Operational Management, 37(3), 347-354.
Klir, G. J. & Folger, T. A. (1988). Fuzzy Sets Uncertainty and Information. New Jersey: Prentice-Hall.
Koen, P. A. (1997). Technology maps: Choosing the right path. Engineering Management Journal, 9(4), 7-11.
Koschatzky, K. & Frenkel, A. (1996). A technometric assessment of sensor technology in Israel vs. Europe, the USA and Japan. International Journal of Technology Management, 11(5/6), 667-688.
Lamb, M. & Gregory, M. J. (1997). Industrial concerns in technology selection. Paper presented at the meeting of the Portland International Conference on Management of Engineering and Technology, Portland, Ore.
Lamnek, S. (1988). Qualitative Sozialforschung, Band 1: Methodologie. Weinheim: Beltz PVU.
Lee, J. W. & Kim, S. H. (2001). An integrated approach for interdependent information system project selection. International Journal of Project Management, 19(2), 111-118.
Lee, M. & Om, K. (1996). Different factors considered in project selection at public and private R&D institutes. Technovation, 16(6), 271-276.
Lee, Y. G. & Song, Y. I. (2007). Selecting the key research areas in nano-technology field using technology cluster analysis: A case study based on national R&D programs in South Korea. Technovation, 27(1-2), 57-64.
Lei, D. T. (2000). Industry evolution and competence development: The imperatives of technological convergence. International Journal of Technology Management, 19(7/8), 699-735.
Leung, H. M., Chuah, K. B., & Tummala, V.R. (1998). A knowledge-based system for identifying potential project risk. Omega-International Journal of Management Science, 26(5), 623-638.
Liang, S. K., Yuan, B. & Chow, L. R. (1999). A decision model linkage between technology forecasting, technology dominance and technology strategy. International Journal of Technology Management, 18(1/2), 46-55.
Liberatore, M. & Stylianou, A. (1995). Expert support systems for new product development decision making: Modeling framework and applications. Management Science, 41(8), 1296-1316.
Liberatore, M. J. & Titus, G. J. (1983). The practice management science in R&D project management. Management Science, 29(8), 962-975.
Link, A. N., Paton, D. & Siegel, D. S. (2002). An analysis of policy initiatives to promote strategic research partnership. Research Policy, 31(8-9), 1459-1466.
Lough, T. & White, K. P. (1988). A technology assessment methodology for electric utility planning in the United States. Technological Forecasting and Social Change, 34(1), 53-67.
Loveridge, D. (1996). Technology and environmental impact assessment: Methods and synthesis. International Journal of Technology Management, 11(5/6), 539-581.
Machacha, L. L. & Bhattacharya, P. (2000). A fuzzy-logic-based approach to project selection. IEEE Transactions on Engineering Management, 47(1), 65-73.
Majer, H. (1985). Technology measurement: The functional approach. Technological Forecasting and Social Change, 27(2-3), 335-351.
Malladi, S. & Min, K. J. (2005). Decision support models for the selection of internet access technologies in rural communities. Telematics and Informatics, 22(3), 201-219.
Martorella, P. (1991). Consensus building among social educators: A Delphi study. Theory and Research in Social Education, 19(1), 83-94.
Mason, J. (1996). Qualitative Researching. London: Sage.
Matzner, E. & Wagner, M. (1990). The Employment Impact of New Technology. England: Hants.
Mayrhofer, W. (2009). Groping in the dark? Recent contributions to progress in interpretative analysis—a review. German Journal of Human Resource Research, 23(2), 166-182.
McGrath, R. G. & MacMillan, I. C. (2000). Assessing technology projects using real options reasoning. Research-Technology Management, 43(4), 35-49.
McNamara, P. & Baden-Fuller, C. (1999). Lessons from the Celltech Case: Balancing knowledge exploration and exploitation in organizational renewal. British Journal of Management, 10(4), 291-307.
Meade, L. M. & Presley, A. (2002). R&D project selection using the analytic network process. IEEE Transaction on Engineering Management, 49(1), 59-66.
Mori, S. (2000). The development of greenhouse gas emissions scenarios using an extension of the MARIA model for the assessment of resource and energy technologies. Technological Forecasting and Social Change, 63(2-3), 289-311.
Morone, J. (1989). Strategic use of technology. California Management Review, 31(4), 91-110.
Murry, J. W. & Hammons, J. O. (1995). Delphi: A versatile methodology for conducting qualitative research. Review of Higher Education, 18(4), 423-436.
Mustafa, M. A. (1991). Project risk assessment using the analysis hierarchy process. IEEE Transactions on Engineering Management, 38(1), 46-52.
National Science Council (2010). Annual Report of National Science Council 2008. Taipei: National Science Council.
Nguyen, N. T., Lobet-Maris, C., Berleur, J. & Kusters, B. (1996). Methodological issues in information technology assessment. International Journal of Technology Management, 11(5/6), 566-580.
Ordoobadi, S. M. & Mulvaney, N. J. (2001). Development of a justification tool for advanced manufacturing technologies: System-wide benefits value analysis. Journal of Engineering and Technology Management, 18(2), 157-184.
Osborne, J., Collins, S., Ratcliffe, M., Millar, R. & Duschl, R. (2003). What “ideas-about-science” should be taught in school science? A Delphi study of the expert community. Journal of Research in Science Technology, 40(7), 692-720.
Palm, E. & Hansson, S. O. (2006). The case for ethical technology assessment. Technological Forecasting and Social Change, 73(5), 543-558.
Phaal, R., Farrukh, C. J. R. & Probert, D. R. (2001). Technology management process assessment: A case study. International Journal of Operations & Production Management, 21(8), 1116-1132.
Piipo, P. & Tuominen, M. (1990). Promoting Innovation Management by Decision Support Systems: Facilitating New Products’ Relevance to the Corporate Objectives. In: J. Allesch (Eds.), Consulting in Innovation: Practice—methods—perspectives. Holland: Elsevier Science Publishers.
Porter, A. L., Roper, T., Mason, T., Rossini, F., Banks, J. & Wiederholt, B. (1991). Forecasting and Management of Technology. New York: Wiley.
Prabhu, T. R. & Vizayakumar, K. (2001). Technology choice using FHDM: A case of iron-making technology. IEEE Transaction on Engineering Management, 48(2), 209-222.
Prasad, A. V. S. & Somasekhara, N. (1990). The analytic hierarchy process for choice of technologies: An application. Technological Forecasting and Social Change, 38(2), 151-158.
Raafat, F. (2002). A comprehensive bibliography on justification of advanced manufacturing systems. International Journal of Production Economic, 79(3), 197-208.
Raju, U. S., Ranagaraj, N. & Date, A. W. (1995). The influence of development perspectives on the choice of technology. Technological Forecasting and Social Change, 48(1), 27-43.
Ramanujam, V. & Saaty, T. L. (1981). Technological choice in the less developed countries: An analytic hierarchy process. Technological Forecasting and Social Change, 19(1), 81-98.
Reinhard, H., Kloyer, M. & Lange, M. (2007). Patent indicators for the technology life cycle development. Research Policy, 36(6), 387-398.
Roelofsen, A., Broerse, J. E. W., de Cock Buning, T. & Bunders, J. F. G. (2008). Exploring the future of ecological genomics: integrating CTA with vision assessment. Technological Forecasting and Social Change, 75(3), 334-355.
Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: Mcgraw-Hill.
Sahal, D. (1976). The generalized distance measures of technology. Technological Forecasting and Social Change, 9(3), 289-300.
Schmidt, R. L. & Freeland, J. R. (1992). Recent progress in modeling R&D project selection process. IEEE Transactions on Engineering Management, 39(2), 189-201.
Schroder, R. & Sohal, A. S. (1999). Organizational characteristics associated with AMT adoption: Towards a contingency framework. International Journal of Operations & Production Management, 19(12), 1270-1291.
Sharif, M. N. & Sundarajan, A. (1983). A quantitative model for the evaluation of technological alternative. Technological Forecasting and Social Change, 24(1), 15-29.
Sloane, E. B. (2004). Using a decision support tool for healthcare technology assessment. IEEE Engineering in Medicine and Biology Magazine, 23(3), 42-55.
Slowinski, G., Stanton, S. A., Tao, J. C., Miller, W. & McConnell, D. P. (2000). Acquiring external technology. Research-Technology Management, 43(5), 29-35.
Smith, P. J. & Byrd, J. (1978). A preliminary technology assessment of a standardized container recycling system. Technological Forecasting and Social Change, 12(1), 31-39.
Steensma, K. H. & Fairbank, J. F. (1999). Internalizing external technology: A model of governance mode choice and an empirical assessment. The Journal of High Technology Management Research, 10(1), 1-35.
Stewart, R. & Mohamed, S. (2002). IT/IS projects selection using multi-criteria utility theory. Logistic Information Management, 15(4), 254-270.
Thomas, C. W. (1996). Strategic technology assessment, future products and competitiveness. International Journal of Technology Management, 11(5/6), 651-666.
Tipping, J. W. & Zeffren, E. (1995). Assessing the value of your technology. Research-Technology Management, 38(5), 22-39.
Tolga, E. Demircan, M. L. & Kahraman, C. (2005). Operating system selection using fuzzy replacement analysis and analytic hierarchy process. International Journal of Production Economics, 97(1), 89-117.
Torkkeli, M. & Tuominen, M. (2002). The contribution of technology selection to core competencies. International Journal of Production Economics, 77(3), 271-284.
Tran, T. A. & Daim, T. (2008). A taxonomic review of methods and tools applied in technology assessment. Technological Forecasting and Social Change, 75(9), 1396–1405.
Uhl, N. P. (1983). Using the Delphi technique in institutional planning. New Directions for Institutional Research, 37(10), 81-94.
US Congress, House of Representatives, Committee on Science and Astronautics (1967). Statement of Emilio Daddario, Chairman, Subcommittee on Science, Research, and Development, to the 90th Congress, 1st Session. Washington DC: US Congress, House of Representatives, Committee on Science and Astronautics.
van Zolingen, S. J. & Klaassen, C. A. (2003). Selection processes in a Delphi study about key qualifications in senior secondary vocational education. Technological Forecasting and Social Change, 70(4), 317-340.
Wang, K. M., Wang, C. K. & Hu, C. (2005). Analytic hierarchy process with fuzzy scoring in evaluating multidisciplinary R&D Projects in China. IEEE Transactions on Engineering Management, 52(1), 119-129.
Whitman, N. I. (1990). The Delphi technique as an alternative for committee meetings. The Journal of Nursing Administration, 29(8), 377-379.
Wilhite, A. & Lord, R. (2006). Estimating the risk of technology development. Engineering Management Journal, 18(3), 3-10.
Williams, T. (1995). A classified bibliography of recent research relating to project risk management. European Journal of Operational Research, 85(1), 18-38.
Winebrake, J. J. & Creswick, B. P. (2003). The future of hydrogen fueling systems for transportation: An application of perspective-based scenario analysis using the analytic hierarchy process. Technological Forecasting and Social Change, 70(3), 359-384.
Yap, C. & Souder, W. (1993). A filter system for technology evaluation and selection. Technovation, 13(7), 449-469.
Yu, O. S., Hsu, G. J. Y. & Chen, T. Y. (1998). Introduction to Technological Management: Technological Forecast and Planning. Taipei: Wu Nan Publishing Company.