| Co-Investigator(Kenkyū-buntansha) |
KATSUMOTO Masakazu T.I.T., as above, Research Associate, 大学院・社会理工学研究科, 助手 (90272674)
KIJIMA Kyoichi T.I.T., Graduate School of Decision Science and Engineering, Professor, 大学院・社会理工学研究科, 教授 (10134826)
WATANABE Chihiro T.I.T., as above, Professor, 大学院・社会理工学研究科, 教授 (60220901)
KATSUMOTO Masakazu T.I.T., as above, Research Associate (90272674)
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| Research Abstract |
In the first year, an innovative method of analysis was developed, based on a combined multidisplinary approach in technology management, techno-economics, complex system theory. The main data gathering and empirical work was conducted in the second year. Based on the methodology developed, we carried out several case studies on the innovation management of software-embedded complex systems such as a comparative study on the system of innovation in robotics and the changing paradigms using a framework of Techno-Economic Network theory. Based on our novel framework we analyzed the diffusion of telemedicine in Japan in the pre-paradigmatic phase, as a case study of diffusion of a complex system which is developed through collaboration between actors with different perspectives, such as government, telecommunication carriers, equipment makers and the medical community. It was found out that the different perspectives of the actors was a source of complexity, while at the same time, it was a facilitating factor allowing collaboration to take place. An empirical analysis was carried out to analyze the technology integration strategies of the firms developing digital TV sets. The main findings from the various analyses at the macro, meso, micro, and theoretical level were integrated and policy recommendations were made. In the development of software embedded complex systems, success or failure appears to depend not only on the quality of the technology, and often not on the evident importance of social need, but on the overall coherence of a highly complex socio-technical system. In the analysis of the Japanese robotics industry, innovation trajectory shift was observed in all three poles of science, technology and the market. It was possible to draw managerial and policy recommendations based on the robotics case, which has been showing a distributed pattern of evolution.
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