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

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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Bibliographic Details
Main Authors: Francesco Bossi, Francesco Di Gruttola, Antonio Mastrogiorgio, Sonia D'Arcangelo, Nicola Lattanzi, Andrea P. Malizia, Emiliano Ricciardi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Artificial Intelligence
Subjects:
internal mobility
job relocation
job satisfaction
structural equation models
machine learning
resistance to change
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.848015/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.848015/full

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