Indicators on firm level innovation activities from web scraped data
(2022) In Data in Brief 42.- 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... (More)
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.
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- author
- Ashouri, Sajad ; Suominen, Arho ; Hajikhani, Arash ; Pukelis, Lukas ; Schubert, Torben LU ; Türkeli, Serdar ; Van Beers, Cees and Cunningham, Scott
- organization
- publishing date
- 2022-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Big data, Firm-level data, Innovation, Text data, Web scraped data
- in
- Data in Brief
- volume
- 42
- article number
- 108246
- publisher
- Elsevier
- external identifiers
-
- scopus:85130323992
- pmid:35599825
- ISSN
- 2352-3409
- DOI
- 10.1016/j.dib.2022.108246
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2022
- id
- 10c9a572-07ea-463c-be92-c7fae89232bd
- date added to LUP
- 2022-07-13 20:12:38
- date last changed
- 2024-06-13 10:07:35
@article{10c9a572-07ea-463c-be92-c7fae89232bd,
abstract = {{<p>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.</p>}},
author = {{Ashouri, Sajad and Suominen, Arho and Hajikhani, Arash and Pukelis, Lukas and Schubert, Torben and Türkeli, Serdar and Van Beers, Cees and Cunningham, Scott}},
issn = {{2352-3409}},
keywords = {{Big data; Firm-level data; Innovation; Text data; Web scraped data}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Data in Brief}},
title = {{Indicators on firm level innovation activities from web scraped data}},
url = {{http://dx.doi.org/10.1016/j.dib.2022.108246}},
doi = {{10.1016/j.dib.2022.108246}},
volume = {{42}},
year = {{2022}},
}