Digital transformation of industry through Big Data/AI/IoT is causing significant changes in how innovation is organized. Specifically regarding the framework known as open innovation, the innovation eco-system, involving multiple and diverse players, such as venture firms and universities, is becoming more and more important, in addition to traditional one-to-one bilateral collaboration frameworks. In this study, a holistic analysis of innovation ecosystem dynamics, i.e., its formation, growth and decline, is conducted using an empirical approach. Furthermore, the policy implications of various measures specifically targeted to individual components of the ecosystem, such as industry-academia collaboration, start-up promotion and regional cluster policies are evaluated from the viewpoint of their consistency, given the characteristics of Japan's national innovation system.
June 3, 2019 - March 31, 2021
Major Research Results
RIETI Discussion Papers
"Incentive or Disincentive for Disclosure of Research Data? A Large-Scale Empirical Analysis and Implications for Open Science Policy" (KWON Seokbeom and MOTOHASHI Kazuyuki)
"Technological Competitiveness of China's Internet Platforms: Comparison of Google and Baidu Using Patent Text Information" (MOTOHASHI Kazuyuki and ZHU Chen)