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P M Buscema

Biographic Data

ID9698996
NAMEP M Buscema
GIVEN NAMESP M
FAMILY NAMEBuscema
SIGNATUREBUSCEMA P M
AFFILIATIONSSemeion Research Center
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • 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…

No prominent works on this page.

  • 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…

Big Data and Business Intelligence (1 work) · Business (1 work) · Computer Science (1 work) · Computer security (1 work) · Exploratory research (1 work) · Forecasting Techniques and Applications (1 work) · Hospitality (1 work) · Hospitality industry (1 work) · Industrial organization (1 work) · Marketing (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