Response-based segmentation using finite mixture partial least squares: theoretical foundations and an application to American customer satisfaction index data
When applying multivariate analysis techniques in information systems and social science
disciplines, such as management information systems (MIS) and marketing, the assumption …
disciplines, such as management information systems (MIS) and marketing, the assumption …
Finite mixture partial least squares analysis: Methodology and numerical examples
In wide range of applications for empirical data analysis, the assumption that data is
collected from a single homogeneous population is often unrealistic. In particular, the …
collected from a single homogeneous population is often unrealistic. In particular, the …
Assessing heterogeneity in customer satisfaction studies: across industry similarities and within industry differences
Purpose–Revisiting Fornell et al.'s (1996) seminal study, this chapter looks at the evidence
for observed and unobserved heterogeneity within data underlying the American customer …
for observed and unobserved heterogeneity within data underlying the American customer …
Approaches to customer segmentation
Customer segmentation has virtually unlimited potential as a tool that can guide firms toward
more effective ways to market products and develop new ones. As a conceptual introduction …
more effective ways to market products and develop new ones. As a conceptual introduction …
Do we fully understand the critical success factors of customer satisfaction with industrial goods?-extending Festge and Schwaiger's model to account for unobserved …
This paper extends Festge and Schwaiger's (2007) model of customer satisfaction with
industrial goods by accounting for unobserved heterogeneity. The application of a novel …
industrial goods by accounting for unobserved heterogeneity. The application of a novel …
Customer satisfaction study via a latent segment model
JRS Fonseca - Journal of retailing and consumer services, 2009 - Elsevier
The aim of this study is to apply a new conceptual model, and a new technique as an
approach to the modelling of customers' satisfaction, and to develop an overall satisfaction …
approach to the modelling of customers' satisfaction, and to develop an overall satisfaction …
Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach
CM Ringle - University of Hamburg research paper on marketing …, 2006 - papers.ssrn.com
Partial least squares-based path modeling with latent variables is a methodology that allows
to estimate complex cause-effect relationships using empirical data. The assumption that the …
to estimate complex cause-effect relationships using empirical data. The assumption that the …
Finding groups in structural equation modeling through the partial least squares algorithm
The identification of different homogeneous groups of observations and their appropriate
analysis in PLS-SEM has become a critical issue in many application fields. Usually, both …
analysis in PLS-SEM has become a critical issue in many application fields. Usually, both …
Market basket analysis–a data mining application in Indian retailing
M Hemalatha - International Journal of Business …, 2012 - inderscienceonline.com
Data mining has become a widely accepted process for organisations to enhance their
organisational performance and gain a competitive advantage. Because the data mining …
organisational performance and gain a competitive advantage. Because the data mining …
Capturing and treating unobserved heterogeneity by response based segmentation in PLS path modeling. a comparison of alternative methods by computational …
Segmentation in PLS path modeling framework results is a critical issue in social sciences.
The assumption that data is collected from a single homogeneous population is often …
The assumption that data is collected from a single homogeneous population is often …