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

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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.

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  • Sebastian Heinrich, 2023. "Deriving Technology Indicators from Corporate Websites: A Comparative Assessment Using Patents," KOF Working papers 22-512, KOF Swiss Economic Institute, ETH Zurich.
    • Handle: RePEc:kof:wpskof:22-512
    DOI: 10.3929/ethz-b-000623739
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    More about this item

    Keywords

    corporate website; patent portfolio; technology indicator; text data; artificial intelligence;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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