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Indicators on firm level innovation activities from web scraped data

SSRN Electronic Journal
2021
  • 2
    Citations
  • 810
    Usage
  • 5
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
    • Citation Indexes
      1
    • Policy Citations
      1
      • Policy Citation
        1
  • Usage
    810
    • Abstract Views
      650
    • Downloads
      160
  • Captures
    5
  • Ratings
    • Download Rank
      371,774

Article Description

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 28 variables with unique identifiers which enables connecting to other databases such as financial data.

Bibliographic Details

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

Elsevier BV

Big data; Web scraped data; Text data; Innovation; Firm-level data

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