Deriving Technology Indicators from Corporate Websites: A Comparative Assessment Using Patents

Sebastian Heinrich ()
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Sebastian Heinrich: KOF Swiss Economic Institute, ETH Zurich, Switzerland

No 22-512, KOF Working papers from KOF Swiss Economic Institute, ETH Zurich

Abstract: This paper investigates the potential of indicators derived from corporate websites to measure technology related concepts. Using arti cial intelligence (AI) technology as a case in point, I construct a 24-year panel combining the texts of websites and patent portfolios for over 1,000 large companies. By identifying AI exposure with a comprehensive keyword set, I show that website and patent data are strongly related, suggesting that corporate websites constitute a promising data source to trace AI technologies.

Keywords: corporate website; patent portfolio; technology indicator; text data; artificial intelligence (search for similar items in EconPapers)
JEL-codes: C81 O31 O33 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2023-07
New Economics Papers: this item is included in nep-ain, nep-big, nep-ino, nep-ipr and nep-tid
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Persistent link: https://EconPapers.repec.org/RePEc:kof:wpskof:22-512

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