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Extending technological trajectories to latest technological changes by overcoming time lags

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  • Hwang, Seonho
  • Shin, Juneseuk

Abstract

Bibliometric methods of mapping technological trajectories encounter difficulty when identifying recent technological changes, mainly due to two forms of time lag: publication lag between invention and patent publication, and citation lag between publication and citation. To address this problem, we propose a novel way of identifying recent important publications, and of automatically connecting these to the patents-based main path. Our method reduces truncation bias due to publication and citation lags, and extends the technological trajectory to reach the latest technology at the research forefront. By generating links between patent and product, our approach can anticipate future product features that are driven by technological changes. In practice, our method enables managers to identify incremental innovation opportunities along mainstream technology dynamics, and further to detect signals of emerging technologies, wild cards, and new applications in other disciplines. An illustrative case regarding image technology is described and discussed.

Suggested Citation

  • Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
  • Handle: RePEc:eee:tefoso:v:143:y:2019:i:c:p:142-153
    DOI: 10.1016/j.techfore.2019.04.013
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    5. Marcon, Arthur & Ribeiro, José Luis Duarte & Olteanu, Yasmin & Fichter, Klaus, 2024. "How the interplay between innovation ecosystems and market contingency factors impacts startup innovation," Technology in Society, Elsevier, vol. 76(C).

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