[EN] This paper presents a framework for enriching and complementing administrative data from the Italian Third Sector Single National Register (RUNTS) with textual content extracted from the websites of the non-profit ...
[EN] Research in innovation usually builds on conventional data such as balance sheets, surveys, patents, or product catalogs. This paper intends to explore unconventional data, specifically web-scraped data, as an information ...
[EN] This paper addresses the importance of industry-specific models for SMEs bankruptcy prediction, building on earlier research finding larger predictive accuracy and enhanced temporal stability. Using Italian data, we ...