Structural equation modeling (SEM) has become a quasi-standard in marketing and
management research when it comes to analyzing the cause-effect relations between latent …

Every discipline needs to frequently review the use of multivariate analysis methods to ensure
rigorous research and publications. Even though partial least squares structural equation …

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

… Marko Sarstedt is a chaired professor of marketing at the Ludwig-Maximilians-University …
Professor Sarstedt has won numerous best paper and citation awards, including five Emerald …

Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of
the considerations and metrics required for partial least squares structural equation modeling …

Most methodological fields undertake regular critical reflections to ensure rigorous research
and publication practices, and, consequently, acceptance in their domain. Interestingly, …

Discriminant validity assessment has become a generally accepted prerequisite for analyzing
relationships between latent variables. For variance-based structural equation modeling, …

This second Long Range Planning special issue on PLS-SEMin strategic management
research and practice seeks to further progress towards this goal. The journal received 41 …

… (Sarstedt, Wilczynski, & Melewar, 2013). The data set used for all analyses in this book stems
from Hair, Hult, Ringle, and Sarstedt (… dataset, see also Sarstedt, Ringle, & Iuklanov, 2023). …

Wold's (1974, 1982) partial least squares structural equation modeling (PLS-SEM)
approach and the advanced PLS-SEM algorithms by Lohmöller (1989) have enjoyed steady …