IFI EBPM in STIセミナー／第140回STIG PoPセミナー「欧州特許データに基づく技術トラジェクトリの分析：時間的・空間的技術拡散の予測モデル」

Despite scholars’ high interest in identifying inventions that have a big impact, little attention has been devoted to investigating what drives how (fast) novel technologies embodied in these inventions are re-used in subsequent inventions. We overcome this limitation by empirically identifying novel technologies, mapping their reuse trajectories, and examining the characteristics of the novel technologies affecting trajectories’ shape. Using patent data, we identify on a large scale novel technologies as new combinations of existing technological components. The first invention using the new combination marks the origin of the trajectory, while all the subsequent inventions re-using the same new combination shape the technological trajectory. In our study sample, we identify 10,782 technological trajectories. For each of these trajectories, we identify its take off time and its maximum technological impact, as defined by its maximum number of follow-on inventions. We find that an S-shaped curve provides high goodness of fit for our trajectories, but that there is substantial heterogeneity in take off time and maximum technological impact. In searching for the antecedent characteristics of the novel technologies shaping their trajectories, we find that complex novel technologies resulting from combining dissimilar technological components with strong science-based content are associated with trajectories showing a
long take off time but with a high technological impact. In contrast, combining similar components that are familiar to inventors, results in a short take off time but a low technological impact.

2023.12.7（Thu.） 16:50 ～ 18:30

SMBC Academia Hall, 4th floor, International Academic Research building, The University of Tokyo
東京大学(本郷キャンパス) 国際学術総合研究棟4階 SMBCアカデミアホール

Prof. Michele Pezzoni,
Associate Professor, Université Côte d’Azur, CNRS, GREDEG (France)
ICRIOS, Bocconi University (Italy)

English

Advance registration is required. (Move to the host IFI page)
https://ifi.u-tokyo.ac.jp/en/event/12066/

要事前申込み（以下の東京大学未来ビジョン研究センターのWEBページ上のフォームよりご応募ください）
https://ifi.u-tokyo.ac.jp/event/16852/

Host：
Techology Governance Policy Research Unit, Institute for Future Initiatives, UTokyo（東京大学未来ビジョン研究センター）

Co-host：
Science, Technology and Innovation Governance (STIG) Program, UTokyo（東京大学科学技術イノベーション政策の科学教育プログラム）

Contact/お問合せ：
Secretariat, Institute for Future Initiatives, UTokyo
Technology Governance Policy Research Unit
E-mail: ifi_tg[at]ifi.u-tokyo.ac.jp（replace [at] with @）

東京大学 未来ビジョン研究センター
技術ガバナンスユニット事務局
E-mail ifi_tg[at]@ifi.u-tokyo.ac.jp ([at]→@に置き換えてください)