Publication Authors: Angelo Leogrande

Artificial Intelligence and the Transformation of Knowledge Management Systems: A Consensus Community-Detection Bibliometric Analysis
Carlo Drago, Angelo Leogrande, Valentina Giglio Moro, Linda Stella Guajardo Rios
The integration of Artificial Intelligence (AI) and Generative Artificial Intelligence (GenAI) is transforming Knowledge Management. Digital technologies are evolving from passive information repositories into active knowledge co-constructors capable of supporting knowledge generation, recombination, dissemination, interpretation, and application. This study examines the emerging relationship among Knowledge Management, AI, and GenAI, focusing on their implications for firms [...]
IN: Proceedings IFKAD 2026: Intelligent Knowledge for Sustainable Organizations
PP: 131-136
See all publications by each of the following authors: Angelo Leogrande, Carlo Drago, Linda Stella Guajardo Rios, Valentina Giglio Moro
Bibliometric Ensemble-Based Community Detection Analysis of AI, Knowledge Management, and Emerging Technologies Convergence in Business Paradigms
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
PP: 1436-1440
See all publications by each of the following authors: Angelo Leogrande, Carlo Drago, Francesca Valentina Giglio Moro
Unsupervised Learning AI-Data Management and Improved Lean Methodology in Healthcare Organizations
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
PP: 208-221
See all publications by each of the following authors: Alessandro Massaro, Angelo Leogrande, Angelo Rosa, Giuliano Marolla
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