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Predicting the most likely diffusion sequence of a new technology through the economy: The case of superconductivity

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  • DeBresson, Chris

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  • DeBresson, Chris, 1995. "Predicting the most likely diffusion sequence of a new technology through the economy: The case of superconductivity," Research Policy, Elsevier, vol. 24(5), pages 685-705, September.
    • Handle: RePEc:eee:respol:v:24:y:1995:i:5:p:685-705
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    References listed on IDEAS

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    1. de Bresson, Chris, 1991. "Technological Innovation and Long Wave Theory: Two Pieces of the Puzzle," Journal of Evolutionary Economics, Springer, vol. 1(4), pages 241-272, November.
    2. Abernathy, William J. & Clark, Kim B., 1985. "Innovation: Mapping the winds of creative destruction," Research Policy, Elsevier, vol. 14(1), pages 3-22, February.
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    Cited by:

    1. Brunelle Marche & Vincent Boly & Roland Ortt, 2016. "Observing New Product Impacts On Sectors Value Chains: The Case Of A French Electronic Sme," Post-Print hal-01891016, HAL.
    2. Wonchang Hur, 2017. "The patterns of knowledge spillovers across technology sectors evidenced in patent citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 595-619, May.
    3. Ortt, J. Roland & Kamp, Linda M., 2022. "A technological innovation system framework to formulate niche introduction strategies for companies prior to large-scale diffusion," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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