Indicators on firm level innovation activities from web scraped data
Ashouri, Sajad and Suominen, Arho and Hajikhani, Arash and Pukelis, Lukas and Schubert, Torben and Türkeli, Serdar and Van Beers, Cees and Cunningham, Scott (2022) Indicators on firm level innovation activities from web scraped data. Data in Brief, 42. 108246. ISSN 2352-3409 (https://doi.org/10.1016/j.dib.2022.108246)
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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.
ORCID iDs
Ashouri, Sajad, Suominen, Arho, Hajikhani, Arash, Pukelis, Lukas, Schubert, Torben, Türkeli, Serdar, Van Beers, Cees and Cunningham, Scott ORCID: https://orcid.org/0000-0001-7140-916X;-
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Item type: Article ID code: 80920 Dates: DateEvent30 June 2022Published6 May 2022Published Online2 May 2022AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science
Social Sciences > Industries. Land use. Labor > Management. Industrial ManagementDepartment: Faculty of Humanities and Social Sciences (HaSS) > Government and Public Policy > Politics Depositing user: Pure Administrator Date deposited: 31 May 2022 08:10 Last modified: 01 Sep 2024 01:35 URI: https://strathprints.strath.ac.uk/id/eprint/80920