Indicators on firm level innovation activities from web scraped data
Sajad Ashouri (Tampere University, VTT Technical Research Center of Finland)
Arho Suominen (Tampere University, VTT Technical Research Center of Finland)
Arash Hajikhani (LUT University, VTT Technical Research Center of Finland)
Lukas Pukelis (Public Policy and Management Institute)
Torben Schubert (Fraunhofer Institute for Systems and Innovation Research ISI, CIRCLE - Centre for Innovation Research)
Serdar Türkeli (Universiteit Maastricht)
Cees Van Beers (TU Delft - Economics of Technology and Innovation)
Scott Cunningham (University of Strathclyde)
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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.
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