Authors: Kazufumi Yaji
Addresses: Technology Strategy Center, New Energy and Industrial Technology Development Organization (NEDO), 16F Muza Kawasaki Central Tower, 1310 Omiya-cho, Saiwai-ku Kawasaki City, Kanagawa 212-8554, Japan
Abstract: In this study, we divided 2017 gross license income to four levels, ~$1 million, $1 million~$10 million, $10 million~$100 million and more than $100 million. In each 2017 level, we use the statistical analysis software SPSS Statistics 23 (IBM Corporation, Armonk, NY, USA) to perform multiple regression analysis. The number of patent applications, the number of licenses, the number of US patents issued, R&D from government and R&D from industry, etc. are picked up as an explanatory variable. Moreover, gross license income is picked up as an object variable. From these results, we found that there are differences in four levels of gross license income. In ~$1 million, total patent applications filed affect the increase of gross license income. In $1 million~10 million, total licenses disclosed affects the increase of gross license income. In $10 million~$100 million, invention disclose received and license issued affects the increase of gross license income and exclusive licensed/options, total disclosure licenses and non-exclusive licenses/options have the effect of reducing the gross license income. In more than $100 million, multiple regression analysis is not performed and patent rights generating huge license income (homerun patents) might affect gross license income.
Keywords: technology licensing organisation; TLO; TTO; medical school; multiple regression analysis; gross licensing income.
International Journal of Technology Transfer and Commercialisation, 2020 Vol.17 No.1, pp.1 - 18
Received: 26 Jun 2019
Accepted: 08 Sep 2019
Published online: 05 Apr 2020 *