Bottai, CarloCrosato, LisaLiberati, Caterina2024-09-202024-09-202024-07-169788413962016https://riunet.upv.es/handle/10251/208407[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 propose separate bankruptcy prediction models for a few industries based on balance sheet data and explore the predictive power of SMEs' website html code structure. Our findings suggest that website data can serve as a valid complementary source for bankruptcy prediction, with different performances across sectors. We observe a certain degree of sectoral heterogeneity in the importance of financial ratios, firm-specific characteristics, and website structure, calling for an industry-tailored approach in bankruptcy prediction models.7Reconocimiento - No comercial - Compartir igual (by-nc-sa)Website dataHtml codeSMEsSupervised learningCapítulo de libro10.4995/CARMA2024.2024.17761Abierto