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

Fei Yuan and Kumiko Miyazaki ()
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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

International Journal of Innovation and Technology Management (IJITM), 2017, vol. 14, issue 01, 1-20

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.

Keywords: Electric vehicles; bibliometrics approach; patent citation network; technological trajectory (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219877017400065

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