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A dynamic approach for identifying technological breakthroughs with an application in solar photovoltaics

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  • Sun, Bixuan
  • Kolesnikov, Sergey
  • Goldstein, Anna
  • Chan, Gabriel

Abstract

This paper presents a conceptual framework for understanding technological breakthroughs and a novel empirical approach for investigating potential breakthrough inventions in the patent record. We define technological breakthroughs as inventions that are initially novel to a technological field but become increasingly relevant for describing the development of the field over time. We operationalize these notions of novelty and relevance by applying topic modeling to a corpus of the full text of patents in a technological field. The identified topics define a “technological space,” from which we develop continuous measures of a patent's novelty and relevance to the mainstream trajectory of technological development in this space over time. Our method allows us to identify potential breakthrough inventions that may have driven changes to the rate and direction of technological development in the focal field. We apply the method to silicon solar photovoltaic patents granted in the United States between 1977 and 1996, generating a list of 98 patents representing potential breakthroughs that can be subsequently validated with other approaches. This method can help researchers identify sources and patterns of technological breakthroughs to inform research and development policy.

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  • Sun, Bixuan & Kolesnikov, Sergey & Goldstein, Anna & Chan, Gabriel, 2021. "A dynamic approach for identifying technological breakthroughs with an application in solar photovoltaics," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  • Handle: RePEc:eee:tefoso:v:165:y:2021:i:c:s0040162520313603
    DOI: 10.1016/j.techfore.2020.120534
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    4. Higham, Kyle & Contisciani, Martina & De Bacco, Caterina, 2022. "Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships," Technological Forecasting and Social Change, Elsevier, vol. 179(C).

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