Deriving Technology Indicators from Corporate Websites: A Comparative Assessment Using Patents
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Author
Date
2023-07Type
- Working Paper
ETH Bibliography
yes
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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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000623739Publication status
publishedJournal / series
KOF Working PapersVolume
Publisher
KOF Swiss Economic Institute, ETH ZurichSubject
corporate website; patent portfolio; technology indicator; artificial intelligence; Text dataOrganisational unit
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
06333 - KOF FB Innovationsökonomik / KOF Innovation Economics
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Is previous version of: https://doi.org/10.3929/ethz-b-000628370
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ETH Bibliography
yes
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