Capturing Customer Heterogeneity using a Finite Mixture PLS Approach

By Carsten Hahn, Michael D. Johnson, Andreas Herrmann, F. Huber. 2002

315 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Food Science, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/8b5a448fd40394231d22953d078697c418c7b738

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In Analytical Chemistry

In Food Science

In Organizational Behavior and Human Resource Management

Citations in the corpus

PLS-SEM: Indeed a Silver Bullet (2011, methodology): “These methods have been constantly advanced, for example, by addressing model selection issues in FIMIX-PLS (Sarstedt et al. 2011) and comparing several of the approaches by means of computational experiments (Esposito Vinzi et al. 2007; Ringle, Sarstedt, and Schlittgen 2010).”
Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Squares Approach (2006, methodology): “Hahn et al. (2002) suggest to limit segment-specific FIMIXPLS estimates between reasonable bounds.”
Partial least squares structural equation modeling in HRM research (2020, methodology): “7%) account for observed heterogeneity by undertaking multigroup analyses, while none assesses unobserved heterogeneity by using finite mixture PLS (Hahn et al., 2002), or other latent class procedures (Ringle, Sarstedt, & Schlittgen, 2014; Ringle, Sarstedt, Schlittgen, & Taylor, 2013).”
PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement (2010, unknown): “To our best knowledge, five approaches exist to handle heterogeneity in PLS Path Modeling: the Finite Mixture PLS, proposed by Hahn et al. (2002) and modified by Ringle et al. (2010) (see Chap.”
On the use of archetypes as benchmarks (2008, methodology): “First, heterogeneity in the models can very rarely be captured by well-known observable variables [11].”
Tourism Destination Competitiveness: Second Thoughts on the World Economic Forum Reports (2011, background): “Recently, Hall (2007) criticized that, so far, the literature on DC has not discussed the philosophical and ideological underpinnings and underlined the need for in-depth reflection on the current situation of DC research.”
Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results (2011, methodology): “(2009) applied the FIMIX-PLS method (Hahn et al., 2002; Rigdon et al., 2010; Ringle, Wende, & Will, 2010; Ringle, Sarstedt, & Mooi, 2010; Sarstedt et al., 2011; Sarstedt & Ringle, 2010) to the original study by Festge and Schwaiger (2007) to uncover unobserved heterogeneity.”
Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples (2010, methodology): “For this reason, Hahn et al. (2002) propose the repeated operation of FIMIX-PLS with consecutive numbers of latent classes K (e.”
Factors Influencing the Adoption of Mass Customization: The Impact of Base Category Consumption Frequency and Need Satisfaction (2007, background): “Finite mixture PLS, on the other hand, is a rather new development (Hahn et al., 2002).”
Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice (2018, methodology): “PLS-SEM segmentation approaches such as finite mixture partial least square (FIMIX-PLS; Hahn et al. 2002) and partial least square prediction oriented segmentation (PLS-POS; Becker et al.”