Evaluation of University Technology Transfer Performance:Two-Stage DEA and the Network-Based Ranking Method

• Main Authors: CHIEN-CHENG HUANG, 黃建誠
• Other Authors: John S. Liu
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/jt8525

碩士 === 國立臺灣科技大學 === 科技管理所 === 99 === Since the passage of Taiwan’s “Technical Fundamental Law” in 1999, the intellectual property rights in academic and research institutions have been implemented to respective departments and individuals to encourage research and innovation. Since then, technology transfer offices have sprung up. However, compared with the performance of technology transfer of universities in the U.S, the performance of domestic universities has not yet matured. This study discusses the performance of technology transfer of universities in the U.S, and does the school benchmarking to analyze the way to success, as a reference to the technology transfer in domestic universities. 　 Data Envelopment Analysis (DEA) is considered an effective method to measure the performance of technology transfer, but the result usually cannot distinguish the school with the best performance since it often contains the numerous efficient decision making units (DMUs). This study applies two brand-new analysis approaches of DEA – the “Two-stage DEA” and the “Network-based Ranking Method”. 　 In order to evaluate the operational performance of each DMU (university) precisely, two-stage analysis model is used which separates the university performance into the “research and innovation performance (turn research expenditures into patents)” and “value creation performance (turn patents into licenses and start-ups)”, to discuss the driving force of universities with good efficiency. The latter approach ranking the universities with efficiency to find the overall best school and which school has best performance of separate inputs and outputs. In addition, the analysis of strengths and weaknesses allows universities to review their own inadequacies and to improve the self-performances by learn the benchmark. Besides, this study also discusses whether the universities with medicine department or the public/private system will affect their performance in technology transfer. 　 The source of the study is from the Association of University Technology Management (AUTM), which conduct the research of 119 universities. As the research results shown, the amount of school with efficiency of universities at the first stage much more than that at the second stage, which implies that there still much improvement to be expected during the process of commercialization like license or start-up. In addition, public universities and non-medical schools have better performances at the first stage, while the performances at the second stage make little differences. Since most approaches of technology transfer in Taiwan are introduced from the U.S, this study expects to deeply understand the universities in the U.S to make improvement in domestic technology transfer.