Capturing Customer Heterogeneity using a Finite Mixture PLS Approach

Keywords

Partial least squares regressionMarket segmentationSegmentationEconometricsStructural equation modelingLoyaltyCustomer satisfactionComputer scienceScheme (mathematics)Data miningMathematicsArtificial intelligenceMathematical optimizationMachine learningMarketingBusiness

Affiliated Institutions

Related Publications

Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity

Kamel Jedidi , Harsharanjeet S. Jagpal , Wayne S. DeSarbo

Two endemic problems face researchers in the social sciences (e.g., Marketing, Economics, Psychology, and Finance): unobserved heterogeneity and measurement error in data. Struc...

1997 Marketing Science 423 citations

Robustness of partial least-squares method for estimating latent variable quality structures

Claes M. Cassel , Peter Hackl , Anders Westlund

Latent variable structural models and the partial least-squares (PLS) estimation procedure have found increased interest since being used in the context of customer satisfaction...

1999 Journal of Applied Statistics 699 citations

Partial least squares structural equation modeling (PLS-SEM)

Joe F. Hair , Marko Sarstedt , Lucas Hopkins +1 more

Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and prov...

2014 European Business Review 10139 citations

REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling

Vincenzo Esposito Vinzi , Laura Trinchera , Silvia Squillacciotti +1 more

Abstract Structural equation models (SEMs) make it possible to estimate the causal relationships, defined according to a theoretical model, linking two or more latent complex co...

2008 Applied Stochastic Models in Business... 158 citations

Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats1

Jan-Michael Becker , Arun Rai , Christian M. Ringle +1 more

A large proportion of information systems research is concerned with developing and testing models pertaining to complex cognition, behaviors, and outcomes of individuals, teams...

2013 MIS Quarterly 426 citations

Publication Info

Year: 2002
Type: article
Volume: 54
Issue: 3
Pages: 243-269
Citations: 283
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Capturing Customer Heterogeneity using a Finite Mixture PLS Approach

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

283

OpenAlex

Cite This

APA Style

                            
                                
                                    Carsten Hahn, 
                                
                                    Michael D. Johnson, 
                                
                                    Andreas Herrmann
                                
                                et al.
                            
                            (2002). 
                            Capturing Customer Heterogeneity using a Finite Mixture PLS Approach. 
                            Schmalenbach Business Review
                            , 54
                            (3)
                            , 243-269.
                            https://doi.org/10.1007/bf03396655
                        

Identifiers

DOI: 10.1007/bf03396655