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科目代碼	IEM0321	課程名稱	書報討論－科技應用管理（二）
英文名稱	Seminar on Technological Application Management(II)
全/半年	全	必/選修	選修
學分數	1.0	每週授課時數	正課時數: 1.0 小時, 實驗時數: 0.0 小時
先修課程
課程簡介	The course aims to help Management of Technology (MOT) major students understand the most up-to-date trends of MOT research through reviews and presentations of selected papers from the leading SSCI indexed journals being listed below: 1.Cunningham, S.W., Kwakkel, J., 2011. Innovation forecasting: A case study of the management of engineering and technology literature. Technological Forecasting and Social Change 78, 346-357. 2.Dangelico, R.M., Garavelli, A.C., Petruzzelli, A.M., 2010. A system dynamics model to analyze technology districts' evolution in a knowledge-based perspective. Technovation 30, 142-153. 3.Dijk, M., Yarime, M., 2010. The emergence of hybrid-electric cars: Innovation path creation through co-evolution of supply and demand. Technological Forecasting and Social Change 77, 1371-1390. 4.Järvenpää, H.M., Mäkinen, S.J., Seppänen, M., 2011. Patent and publishing activity sequence over a technology's life cycle. Technological Forecasting and Social Change 78, 283-293. 5.Phaal, R., O'Sullivan, E., Routley, M., Ford, S., Probert, D., 2011. A framework for mapping industrial emergence. Technological Forecasting and Social Change 78, 217-230. 6.Ringland, G., 2010. The role of scenarios in strategic foresight. Technological Forecasting and Social Change 77, 1493-1498. 7.Sørensen, F., Mattsson, J., Sundbo, J., 2010. Experimental methods in innovation research. Research Policy 39, 313-322. 8.Samila, S., Sorenson, O., 2010. Venture capital as a catalyst to commercialization. Research Policy 39, 1348-1360. 9.Shin, J., Park, Y., Evolutionary optimization of a technological knowledge network. Technovation 30, 612-626. 10.Tran, Y., Hsuan, J., Mahnke, V., 2011. How do innovation intermediaries add value? Insight from new product development in fashion markets. R&D Management 41, 80-91. 11.Wang, C.-H., Chin, Y.-C., Tzeng, G.-H., Mining the R&D innovation performance processes for high-tech firms based on rough set theory. Technovation 30, 447-458. 12.Wang, M.-Y., Chang, D.-S., Kao, C.-H., 2010. Identifying technology trends for R&D planning using TRIZ and text mining. R&D Management 40, 491-509.
課程目標		對應系所核心能力
1.　瞭解全球科技管理研究與理論之最新發展		碩士: 　3-3 具備多元思考與國際觀之特質。