Christian M. Ringle

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...

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) was published (Hair, Hult, Ringle, & Sarstedt

\n Contains fulltext :\n 82505.pdf (Publisher’s version ) (Closed access)\n

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

PLS-SEM: Indeed a Silver Bullet

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 construc...

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

Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance

The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications

Confirmatory tetrad analysis in PLS path modeling

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...