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'.

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

Bottai C.;Guerzoni M.;
2022-01-01

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'.
2022
2nd ACM Conference on Information Technology for Social Good, GoodIT 2022
Limassol Cyprus
7-9 settembre 2022
ACM International Conference Proceeding Series
Association for Computing Machinery
338
344
9781450392846
HTML tags; Innovation; SMEs; Website data
Bottai C.; Crosato L.; Domenech J.; Guerzoni M.; Liberati C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1878424
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