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 modeling (PLS-SEM) is frequently used for studies in strategic management, this kind of assessment has only...

To define research and statistical methods needed for relevant research and the development of the family business field, this article reviews the past 30 years of analytic and statistical methods used by family business researchers. The article explores the many reasons for studying research...

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 (PLS-SEM) analysis and result reporting. Preliminary considerations are summarized first, including reasons...

Purpose: Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy between explanation and prediction. However, while researchers using PLS-SEM routinely stress the predictive nature...

PurposePartial least squares structural equation modeling (PLS-SEM) is an important statistical technique in the toolbox of methods that researchers in marketing and other social sciences disciplines frequently use in their empirical analyses. The purpose of this paper is to shed light on...

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 has undergone massive developments, raising the question of whether the method's users are following the most...