Moderated mediation analysis using SmartPLS: a tutorial for business researchers

In regression models and structural equation modeling applications in business and management studies, conditional process analyses such as moderated mediation have become widely used methods in business research. They allow scholars to examine not only the mechanisms through which effects occur but also the conditions under which these mechanisms vary. Despite their increasing popularity, many researchers continue to struggle with the appropriate specification, estimation, and reporting of moderated mediation models. This editorial provides a step-by-step tutorial on conducting moderated mediation analysis using SmartPLS. We explain the conceptual logic underlying each model type and demonstrate how to specify and estimate them. We also clarify how conditional indirect effects should be examined and interpreted. In addition, we propose practical reporting guidelines covering model specification, measurement model evaluation, structural model assessment, and the interpretation of conditional indirect effects. This tutorial serves as a practical resource for business researchers seeking to conduct and report moderated mediation and conditional process analyses within linear regression and structural equation modeling frameworks.

Subjects

Conditional process analysis

Mediator

Moderated mediation

Moderator

Quantitative methods

Regression analysis

Structural equation modeling

DDC Class

510: Mathematics

Lizenz

https://creativecommons.org/licenses/by/4.0/

Publication version

publishedVersion

Name

JASEM10101_Memonetal2026.pdf

Type

Main Article

Size

1.66 MB

Format

Adobe PDF

Options

Moderated mediation analysis using SmartPLS: a tutorial for business researchers