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Transactions: WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
Transactions ID Number: 52-513
Full Name: Wen-Cheng Wang
Position: Lecturer
Age: ON
Sex: Male
Address: 111 Gong Jhuan Rd., Chung Ho, Taipei, Taiwan, ROC
Country: TAIWAN
Tel: 886-2-89415022 ext 211
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E-mail address: wcwang@cc.hwh.edu.tw
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Title of the Paper: How to Achieve Excellent Technology Transfer Performance in Universities? An Empirical Application with Super-efficiency Slack-based Measure (SBM) DEA Model
Authors as they appear in the Paper: YUN KEN , TAO HUANG,CHIH-HUNG WU,WEN-CHENG WANG
Email addresses of all the authors: yunken@yuntech.edu.tw; g9522808@yuntech.edu.tw; chwu@ntcu.edu.tw ; wcwang@cc.hwh.edu.tw
Number of paper pages: 29
Abstract: American research universities have been allowed to receive license income from licensing patent rights to private sectors for further development and commercialization after the passage of University and Small Business Patent Procedures Act (Bayh-Dole Act) in 1980. The Act made huge fundamental and policy change in encouraging universities to rapidly increase their patenting and licensing activities. In the age of fundamental change, technology management especially technology transfer performance (TTP) has become an important issue among the entire American research universities. Nowadays, due to the complexity of patenting and licensing activities, a direct and precisely TTP evaluation and comparison is usually important but difficult. This study employs and compares two alternative data envelopment analysis (DEA) models¡XCharnes-Cooper-Rhodes (CCR) and supper-efficiency slack-based measure (SBM) to determine relative efficiencies and to measure the slack values!
among universities on the basis of the AUTM licensing survey data whereby TTP is transformed into monetary value. Our research results will be able to sort the performance and provide managerial suggestions for each university to improve their TTP.
Keywords: U.S. University, Technology transfer performance, Data Envelopment Analysis (DEA), Super-efficiency, Slack-based measure (SBM), Academic Innovation Quality.
EXTENSION of the file: .doc
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