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 |
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Přispěvatelé: | Mt Economic Research Inst on Innov/Techn, RS: UNU-MERIT Theme 4, RS: GSBE MORSE, Publica |
Rok vydání: | 2021 |
Předmět: |
QA75
History Multidisciplinary Knowledge management Firm-level data Polymers and Plastics business.industry Big data Industrial and Manufacturing Engineering Variety (cybernetics) Unique identifier Product (business) HD28 media_common.cataloged_instance Text data Business Business and International Management European union Innovation Web scraped data media_common |
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 |
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