Purpose–The purpose of this paper is to critically review the latest approaches for capturing
and explaining heterogeneity in partial least squares (PLS) path modelling and to classify …

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

In the social science disciplines, the assumption that the data stem from a single
homogeneous population is often unrealistic in respect of empirical research. When …

When applying multivariate analysis techniques in information systems and social science
disciplines, such as management information systems (MIS) and marketing, the assumption …

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 …

When applying structural equation modeling methods, such as partial least squares (PLS)
path modeling, in empirical studies, the assumption that the data have been collected from a …

I argue that there are some causal relata for which it is indeterminate whether one caused
the other. Positing indeterminacy in causation helps us defend contested principles in the …

Response-based segmentation using the finite mixture partial least squares approach
(FIMIX-PLS) has recently received increasing research attention in the marketing and …

This paper introduces structural equation modeling for imprecise data, which enables
evaluations with different types of uncertainty. Coming under the framework of variance …

In marketing and education research it is usual to use Structural Equation Modeling (SEM)
methods to fit network of constructs to data collected by surveys. Lately an SEM approach …