Title: Structural condition of combinatorial innovation through patent ability AI analysis

Authors: Hajime Shirasaka; Takashi Mikami; Makoto Onizuka; Youji Kohda; Amna Javed

Addresses: Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan ' Osaka University, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan ' Osaka University, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan ' Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan ' Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan

Abstract: The innovation achieved by reconfiguring an invention to obtain a new combination of existing technology elements is referred to as combinatorial innovation. The combinatorial invention processes involved in combinatorial innovation are essential, but as yet there are no quantitative evaluation methods for determining whether the invention should be open or closed. In this study, we demonstrate that utilising the existence rate of similar prior patents can be used as a quantitative evaluation method using artificial intelligence technology.

Keywords: intellectual property; artificial intelligence; combinatorial innovation; patent analysis.

DOI: 10.1504/IJIPM.2021.114608

International Journal of Intellectual Property Management, 2021 Vol.11 No.2, pp.154 - 164

Received: 18 Apr 2019
Accepted: 07 Aug 2019

Published online: 06 Apr 2021 *

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