Indicators on firm level innovation activities from web scraped data

Sajad Ashouri; Arho Suominen; Arash Hajikhani; Lukas Pukelis; Torben Schubert; Serdar Türkeli; Cees Van Beers; Scott Cunningham

doi:10.1016/j.dib.2022.108246

Indicators on firm level innovation activities from web scraped data

Sajad Ashouri, Arho Suominen, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees Van Beers, Scott Cunningham

Tuotantotalous

Tutkimustuotos: Data-artikkeli › vertaisarvioitu

7 Sitaatiot (Scopus)

33 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Artikkeli	108246
Julkaisu	Data in Brief
Vuosikerta	42
DOI - pysyväislinkit	https://doi.org/10.1016/j.dib.2022.108246
Tila	Julkaistu - 2022
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

General

Pääsy asiakirjaan

10.1016/j.dib.2022.108246Lisenssi: CC BY

1-s2.0-S2352340922004486-mainFinal published version, 949 KBLisenssi: CC BY

https://urn.fi/URN:NBN:fi:tuni-202208166455Lisenssi: CC BY

Siteeraa tätä

@article{b1d3e7f09dd64ae1a55866fae9351b45,

title = "Indicators on firm level innovation activities from web scraped data",

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.",

keywords = "Big data, Firm-level data, Innovation, Text data, Web scraped data",

author = "Sajad Ashouri and Arho Suominen and Arash Hajikhani and Lukas Pukelis and Torben Schubert and Serdar T{\"u}rkeli and {Van Beers}, Cees and Scott Cunningham",

note = "Funding Information: This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 870822. Publisher Copyright: {\textcopyright} 2022",

year = "2022",

doi = "10.1016/j.dib.2022.108246",

language = "English",

volume = "42",

journal = "Data in Brief",

issn = "2352-3409",

publisher = "Elsevier",

}

TY - JOUR

T1 - Indicators on firm level innovation activities from web scraped data

AU - Ashouri, Sajad

AU - Suominen, Arho

AU - Hajikhani, Arash

AU - Pukelis, Lukas

AU - Schubert, Torben

AU - Türkeli, Serdar

AU - Van Beers, Cees

AU - Cunningham, Scott

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Big data

KW - Firm-level data

KW - Innovation

KW - Text data

KW - Web scraped data

U2 - 10.1016/j.dib.2022.108246

DO - 10.1016/j.dib.2022.108246

M3 - Data article

AN - SCOPUS:85130323992

SN - 2352-3409

VL - 42

JO - Data in Brief

JF - Data in Brief

M1 - 108246

ER -

Indicators on firm level innovation activities from web scraped data

Abstrakti

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

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