Indicators on firm level innovation activities from web scraped data

Autor: Cees van Beers, Serdar Türkeli, Sajad Ashouri, Arash Hajikhani, Arho Suominen, Torben Schubert, Scott Cunninghum, Lukas Pukelis
Přispěvatelé: Mt Economic Research Inst on Innov/Techn, RS: UNU-MERIT Theme 4, RS: GSBE MORSE, Publica
Rok vydání: 2021
Předmět:
Zdroj: Data in brief, 42:108246. Elsevier Science
Data in Brief, 42
Ashouri, S, Suominen, A, Hajikhani, A, Pukelis, L, Schubert, T, Türkeli, S, Van Beers, C & Cunningham, S 2022, ' Indicators on firm level innovation activities from web scraped data ', Data in Brief, vol. 42, 108246 . https://doi.org/10.1016/j.dib.2022.108246
ISSN: 1556-5068
2352-3409
DOI: 10.2139/ssrn.3938767
Popis: 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.
Databáze: OpenAIRE