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<p>Drawing on evolutionary economics theory and sectoral innovation systems frameworks, this study examines how technological catch-up dynamics are shaped by the interaction between disruptive innovation and the characteristics of the technology cycle. Using patent data from 2003 to 2023 from&#xa0;natural language processing(NLP) sector, we introduce the disruptive innovation index through a dynamic network measure of technological change.&#xa0;Our negative binomial regression models&#xa0;reveal that disruptive innovation significantly accelerates technological catch-up and that a shorter technology cycle enhances this catching-up effects of disruptive innovation.These findings contribute to the literature on sectoral innovation dynamics by providing micro-level evidence of how firms leverage disruptive innovation to reposition themselves in rapidly evolving technological landscapes.</p>

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Disruptive innovation and technological catch-up in the NLP sector: The moderating role of the technology cycle

  • 期刊论文

  • 发表日期：

    2026年1月29日

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  • Junguo Shi,
  • Wenyi Yan,
  • Kun Jiang,
  • Bert Sadowski

摘要

Drawing on evolutionary economics theory and sectoral innovation systems frameworks, this study examines how technological catch-up dynamics are shaped by the interaction between disruptive innovation and the characteristics of the technology cycle. Using patent data from 2003 to 2023 from natural language processing(NLP) sector, we introduce the disruptive innovation index through a dynamic network measure of technological change. Our negative binomial regression models reveal that disruptive innovation significantly accelerates technological catch-up and that a shorter technology cycle enhances this catching-up effects of disruptive innovation.These findings contribute to the literature on sectoral innovation dynamics by providing micro-level evidence of how firms leverage disruptive innovation to reposition themselves in rapidly evolving technological landscapes.