Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Squares Approach

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The Use of Partial Least Squares Path Modeling in International Marketing (2009, background): “No study has addressed the potentially serious problems of ignoring unobserved heterogeneity (Ringle, 2006).”
Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies (2010, methodology): “The results of k-means mv and k-means lv underline notions in previous research [11,23,32] that a priori clustering approaches are inappropriate, as they do not allow the statistical model, i.”
A review of recent approaches for capturing heterogeneity in partial least squares path modelling (2008, background): “Further evidence here fore can be found in Ringle (2006)”
An integrative model of consumers' intentions to purchase travel online (2015, background): “This approach identifies different segments and their estimates for the relationships between constructs in the structural model (Ringle, 2006).”