Partial Least Squares (PLS) Methods: Origins, Evolution, and Application to Social Sciences

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A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains (2020, methodology): “Comparing with least squares, it can find a sequential of latent variables, thereby is of high efficiency via avoiding the inverse calculation [102].”
Partial least squares structural equation modeling in HRM research (2020, methodology): “combining principal components analysis and regression-based path analysis (Mateos-Aparicio, 2011).”
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2020, methodology): “The evolution of both approaches was not parallel, however, mainly because of the lack of software to execute PLS-SEM (Mateos-Aparicio, 2011).”
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (2018, methodology): “Model estimation in PLS-SEM draws on a three-stage approach that belongs to the family of (alternating) least squares algorithms (Mateos-Aparicio 2011).”
Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice (2018, background): “Authors such as Dijkstra (2010), Esposito Vinzi and Russolillo (2013), Lohmöller (1989), Wold (1982) provide a technical introduction to PLS-SEM; and Chin (2010), Mateos-Aparicio (2011), Rigdon (2013), Sarstedt et al. (2017a) offer non-technical introductions to PLS-SEM.”