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Massimo Buscema

Biographic Data

ID4265058
NAMEMassimo Buscema
GIVEN NAMESMassimo
FAMILY NAMEBuscema
SIGNATUREBUSCEMA M
AFFILIATIONSSemeion Centro Ricerche di Scienze della Comunicazione
ORCID0000-0003-4356-0510
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
WORKS AS AUTHOR3
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Is AI really better than conventional methods to identify the key drivers of firms’ performance? An exploratory study in the hospitality industry

    Francesca D’angella, Guido Ferilli et al.•ARTICLE•Current Issues in Tourism•2025

    ANNs are a key theme in tourism and hospitality. However, they haven’t been widely employed to identify internal and external determinants of firms’ performance. Based on a dataset of daily hotels’ reservations, we demonstrate the capability of a specific unsupervised ANN (Auto Contractive Map – CM) to outperform other methods in assessing the hidden connections among variables and providing guidelines for hotel managers to improve competitive pe…

  • What kind of ‘world order’? An artificial neural networks approach to intensive data mining

    Open Access•Massimo Buscema, Guido Ferilli et al.•ARTICLE•Technological Forecasting and…•2017

  • Multidimensional Similarities at a Global Scale

    Open Access•Massimo Buscema, P L Sacco et al.•ARTICLE•Social Indicators Research•2016•Cited by: 1•References: 47

  • Applications of Mathematics in Models, Artificial Neural Networks and Arts

    Vittorio Capecchi, Massimo Buscema et al.•EDITOR•BOOK•Applications of Mathematics in…•2010

  • Multidimensional Similarities at a Global Scale

    Open Access•Massimo Buscema, P L Sacco et al.•ARTICLE•Social Indicators Research•2016•Cited by: 1•References: 47

  • Applications of Mathematics in Models, Artificial Neural Networks and Arts

    Vittorio Capecchi, Massimo Buscema et al.•EDITOR•BOOK•Applications of Mathematics in…•2010

  • Multidimensional Similarities at a Global Scale

    Open Access•Massimo Buscema, P L Sacco et al.•ARTICLE•Social Indicators Research•2016•Cited by: 1•References: 47

  • What kind of ‘world order’? An artificial neural networks approach to intensive data mining

    Open Access•Massimo Buscema, Guido Ferilli et al.•ARTICLE•Technological Forecasting and…•2017

  • Is AI really better than conventional methods to identify the key drivers of firms’ performance? An exploratory study in the hospitality industry

    Francesca D’angella, Guido Ferilli et al.•ARTICLE•Current Issues in Tourism•2025

    ANNs are a key theme in tourism and hospitality. However, they haven’t been widely employed to identify internal and external determinants of firms’ performance. Based on a dataset of daily hotels’ reservations, we demonstrate the capability of a specific unsupervised ANN (Auto Contractive Map – CM) to outperform other methods in assessing the hidden connections among variables and providing guidelines for hotel managers to improve competitive pe…

Computer Science (4 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Business (2 works) · Geography (2 works) · Aesthetic Perception and Analysis (1 work) · Architecture (1 work) · Architecture and Computational Design (1 work) · Art (1 work) · Big Data and Business Intelligence (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae