Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms

Internal mobility often depends on predicting future job satisfaction, for such employees subject to internal mobility programs. In this study, we compared the predictive power of different classes of models, i.e., (i) traditional Structural Equation Modeling (SEM), with two families of Machine Lear...

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Detalles Bibliográficos
Autores principales: Bossi, Francesco, Di Gruttola, Francesco, Mastrogiorgio, Antonio, D'Arcangelo, Sonia, Lattanzi, Nicola, Malizia, Andrea P., Ricciardi, Emiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990773/
https://www.ncbi.nlm.nih.gov/pubmed/35402899
http://dx.doi.org/10.3389/frai.2022.848015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990773/
https://www.ncbi.nlm.nih.gov/pubmed/35402899
http://dx.doi.org/10.3389/frai.2022.848015

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