Publication Authors: Angelo Leogrande

Carlo Drago, Francesca Valentina Giglio Moro, Angelo Leogrande

This work has investigated the convergence of the business paradigms of artificial intelligence, knowledge management, and emerging technologies. This work uses a relevant new database that considers the scientific literature on the field. The bibliometric methods used were related to the multiple correspondence analysis, which helped construct a conceptual map, and ensemble community detection clustering, […]

IN: Proceedings IFKAD 2025: Knowledge Futures: AI, Technology, and the New Business Paradigm
1436-1440
Angelo Rosa, Alessandro Massaro, Angelo Leogrande, Giuliano Marolla

In the following article, we apply a set of machine learning algorithms to analyse a set of 445 Californian Hospitals. We investigate a variable that can be considered as a synthesis of the economic, financial and organizational performance of the hospital i.e. Net Income. First of all, we have applied a regression analysis with OLS-Ordinary […]

IN: Proceedings IFKAD 2023 – Managing Knowledge for Sustainability
208-221