Indicators on firm level innovation activities from web scraped data

Journal article (2022)

Authors

Sajad Ashouri VTT Technical Research Center of Finland, Tampere University
Arho Suominen Tampere University, VTT Technical Research Center of Finland
Arash Hajikhani VTT Technical Research Center of Finland, LUT University
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 Economics of Technology and Innovation - TPM
Scott Cunningham University of Strathclyde
Research Group
Economics of Technology and Innovation (TPM) (TU Delft)
Copyright: © 2022 Sajad Ashouri, Arho Suominen, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees van Beers, Scott Cunningham
DOI: https://doi.org/10.1016/j.dib.2022.108246
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Published Date

2022

Language

English

Faculty

Technology, Policy and Management

Department

Values Technology and Innovation

Research Group

Economics of Technology and Innovation

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.