Indicators on firm level innovation activities from web scraped data
Sajad Ashouri,
Arho Suominen,
Arash Hajikhani,
Lukas Pukelis,
Torben Schubert,
Serdar Türkeli,
Cees Van Beers,
Scott Cunningham
Affiliations
Sajad Ashouri
Quantitative Science and Technology Studies, VTT Technical Research Centre of Finland, Tekniikantie 21, 02044 Espoo, Finland; Industrial Engineering and Management, Tampere University, Korkeakoulunkatu 8. PL 541, 33014 Tampereen Yliopisto, Finland
Arho Suominen
Quantitative Science and Technology Studies, VTT Technical Research Centre of Finland, Tekniikantie 21, 02044 Espoo, Finland; Industrial Engineering and Management, Tampere University, Korkeakoulunkatu 8. PL 541, 33014 Tampereen Yliopisto, Finland; Corresponding author.
Arash Hajikhani
Quantitative Science and Technology Studies, VTT Technical Research Centre of Finland, Tekniikantie 21, 02044 Espoo, Finland; LUT University, School of Business and Management (LBM), Yliopistonkatu 34, 53850 Lappeenranta, Finland
Lukas Pukelis
Public Policy and Management Institute, Gedimino pr. 50 LT-01110 Vilnius, Lithuania
Torben Schubert
Fraunhofer Institute for Systems and Innovation Research ISI, Breslauer Str. 48, 76135 Karlsruhe, Germany; CIRCLE - Centre for Innovation Research, Sölvegatan 16, 22100 Lund, Sweden
Serdar Türkeli
UNU-MERIT UM – United Nations University Maastricht Economic and Social Research Insitute on Innovation and Technology, Maastricht University, Boschstraat 24, 6211 Maastricht, the Netherlands
Cees Van Beers
Section Economics of Technology and Innovation, Department of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, the Netherlands
Scott Cunningham
School of Government and Public Policy, University of Strathclyde, Glasgow G1 1XQ, United Kingdom
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.
