Hamburg University of Technology

When to use and how to report the results of PLS-SEM

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 m...

An assessment of the use of partial least squares structural equation modeling in marketing research

Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy betw...

How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM

Higher-order constructs, which facilitate modeling a construct on a more abstract higher-level dimension and its more concrete lower-order subdimensions, have become an increasi...

Partial least squares structural equation modeling in HRM research

Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use. Wh...

Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats1

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

The impact of brand extension success drivers on brand extension price premiums