Indicators on firm level innovation activities from web scraped data
location: https://dataverse.nl/dataset.xhtml?persistentId=doi:10.34894/CI5XRR
contributors: VTT Technical Research Centre of Finland Ltd, Fraunhofer Institute for Systems and Innovation Research ISI, Public Policy and Management Institute, United Nations University Maastricht Economic and Social Research Insitute on Innovation and Technology, Delft University of Technology, University of Strathclyde
tags: innovation, digitalization, web mining, big data
documentation: https://www.sciencedirect.com/science/article/pii/S2352340922004486
timeframe: 2021
description: This data sample (in support the article "Indicators on firm level innovation activities from web scraped data" https://ssrn.com/abstract=3938767) contains 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. (2021-10-04)
last edit: Fri, 20 Oct 2023 10:06:43 GMT