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...
Main Authors: | Francesco Bossi, Francesco Di Gruttola, Antonio Mastrogiorgio, Sonia D'Arcangelo, Nicola Lattanzi, Andrea P. Malizia, Emiliano Ricciardi |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-03-01
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Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2022.848015/full |
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