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Indicators on firm level innovation activities from web scraped data.
Sajad Ashouri1,2, Arho Suominen1,2, Arash Hajikhani1,3
1Quantitative Science and Technology Studies, VTT Technical Research Centre of Finland, Tekniikantie 21, 02044 Espoo, Finland.
Data in Brief
|May 23, 2022
Summary
This study analyzes firm-level innovation in EU and UK tech companies using web-scraped data. It details R&D, collaboration, and product strategies, offering a rich dataset for innovation research.
Area of Science:
- Business and Economics
- Innovation Studies
- Technology Management
Background:
- Understanding firm-level innovation is crucial for economic growth.
- Existing datasets often lack granular detail on innovative behaviors.
- Medium-high and high-technology sectors are key drivers of innovation.
Purpose of the Study:
- To present a novel firm-level dataset on innovative behavior.
- To capture diverse aspects of innovation, including R&D and collaboration.
- To facilitate further research by linking to other firm-level data.
Main Methods:
- Web scraping of individual company websites.
- Data collection from 96,921 companies in the EU and UK.
- Aggregation of firm-level indicators, including patenting activities.
Main Results:
- The dataset covers 21 variables on innovation aspects.
- Detailed information on R&D orientation, collaboration, products, and standards.
- Unique identifiers allow integration with financial and other databases.
Conclusions:
- The dataset provides a comprehensive resource for studying firm innovation.
- It enables in-depth analysis of innovation strategies in technology sectors.
- This data can support evidence-based policymaking and business strategy.
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