Deriving technology indicators from corporate websites: A comparative assessment using patents

This paper investigates the potential of indicators derived from corporate websites to measure technology related concepts. Using artificial 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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Year of publication:	2023
Authors:	Heinrich, Sebastian
Publisher:	Zurich : ETH Zurich, KOF Swiss Economic Institute
Subject:	corporate website \| patent portfolio \| technology indicator \| text data \| artificial intelligence

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Series:	KOF Working Papers ; 512
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	10.3929/ethz-b-000623739 [DOI] 1853662151 [GVK] hdl:10419/278574 [Handle] hdl:20.500.11850/623739 [Handle]
Classification:	C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; O31 - Innovation and Invention: Processes and Incentives ; O33 - Technological Change: Choices and Consequences; Diffusion Processes
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014374686