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Trajectory Identification as Proxies for Discerning the Dynamic Nature of Technological Change — The Case of Electric Vehicles Industry

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  • Fei Yuan

    (Department of Innovation Science, School of Environment and Society, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan†Dalian University of Technology, No. 2 Linggong Road, Dalian City, Liaoning Province 116024, China)

  • Kumiko Miyazaki

    (Department of Innovation Science, School of Environment and Society, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan)

Abstract

Technological changes of electric vehicles (EVs) have been taking place along ordered and selective patterns in the potential paradigmatic shift. Together with a network-based method and an empirical study on the technology evolution of EVs, this paper not only proposes a dynamic identification method of technological trajectory, but also describes the process of technology changes in detail. This paper highlights the dynamic nature of technological evolution and improves the accuracy of analyzing the key technological trajectories. In addition, this approach helps to position the development path of an object technology and thus is utilized in designing the R&D strategy.

Suggested Citation

  • Fei Yuan & Kumiko Miyazaki, 2017. "Trajectory Identification as Proxies for Discerning the Dynamic Nature of Technological Change — The Case of Electric Vehicles Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-20, February.
    • Handle: RePEc:wsi:ijitmx:v:14:y:2017:i:01:n:s0219877017400065
    DOI: 10.1142/S0219877017400065
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    Cited by:

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    2. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.

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