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Unconventional data for policy: Using Big Data for detecting Italian innovative SMEs

Authors :
Bottai, C
Crosato, L
Domenech, J
Guerzoni, M
Liberati, C
Bottai, Carlo
Crosato, Lisa
Domenech, Josep
Guerzoni, Marco
Liberati, Caterina
Bottai, C
Crosato, L
Domenech, J
Guerzoni, M
Liberati, C
Bottai, Carlo
Crosato, Lisa
Domenech, Josep
Guerzoni, Marco
Liberati, Caterina
Publication Year :
2022

Abstract

The paper explores the possibility to employ the source code of corporate websites as an information source for research in innovation studies. Research in this area is generally based on studies that collect data on patents or official data sources. Our paper links the standard economic information of the firm with web-based data and joins the ongoing debate with a threefold contribution. First, whereas the majority of the literature focused on the linguistic content of web-pages, we mostly use HTML tags. Second, we propose a method to assess the quality of the linkage of Web data to firm-level information. Third, we show that the data retrieved from corporate websites can aid to identify 'innovative SMEs'.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1346403847
Document Type :
Electronic Resource