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  4. Indicators on firm level innovation activities from web scraped data
 
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2022
Journal Article
Title

Indicators on firm level innovation activities from web scraped data

Abstract
This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains in total data on 96,921 companies. The data provide information on various aspects of innovation, most significantly the research and development orientation of the company at the company and product level, the company's collaborative activities, company's products, and use of standards. In addition to the web scraped data, the dataset aggregates a variety firm-level indicators including patenting activities. In total, the dataset includes 21 variables with unique identifiers which enables connecting to other databases such as financial data.
Author(s)
Ashouri, Sajad
VTT Technical Research Centre of Finland, Quantitative Science and Technology Studies
Suominen, Arho
VTT Technical Research Centre of Finland, Quantitative Science and Technology Studies
Hajikhani, Arash
VTT Technical Research Centre of Finland, Quantitative Science and Technology Studies
Pukelis, Lukas
Public Policy and Management Institute, Vilnius
Schubert, Torben  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Türkeli, Serdar
United Nations University Maastricht Economic and Social Research Insitute on Innovation and Technology
Beers, Cees van
Delft University of Technology, Section Economics of Technology and Innovation
Cunningham, Scott
University of Strathclyde, School of Government and Public Policy
Journal
Data in Brief  
Open Access
DOI
10.1016/j.dib.2022.108246
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Big data

  • Web scraped data

  • Text data

  • Innovation

  • Firm-level data

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