A review of studies published in Industrial Marketing Management over the past two
decades and more shows that these studies not only used partial least squares structural …

Purpose Partial least squares structural equation modeling (PLS-SEM) has attracted much
attention from both methodological and applied researchers in various disciplines–also in …

Partial least squares structural equation modeling (PLS‐SEM) is an essential element of
marketing researchers' methodological toolbox. During the last decade, the PLS‐SEM field …

Purpose Partial least squares structural equation modeling (PLS-SEM) has become an
established social sciences multivariate analysis technique. Since quality management …

Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used
methods of multivariate data analysis. Although previous research has discussed different …

Purpose This study aims to propose guidelines for the joint use of partial least squares
structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis …

With the increasing prominence of partial least squares structural equation modeling (PLS-
SEM) in business research, the use of latent class analyses for identifying and treating …

Multigroup Analysis (MGA) using partial least squares path modelling (PLSPM) is an
efficient approach to evaluate moderation across multiple relationships in a research model …

In their effort to better understand consumer behavior, marketing researchers often analyze
relationships between latent variables, measured by sets of observed variables. Partial least …

Purpose Partial least squares structural equation modeling (PLS-SEM) is an important
statistical technique in the toolbox of methods that researchers in marketing and other social …