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Journal of Marketing Analytics

, Volume 7, Issue 3, pp 196–202 | Cite as

Partial least squares structural equation modeling using SmartPLS: a software review

  • Marko SarstedtEmail author
  • Jun-Hwa Cheah
Software Review

Abstract

In their effort to better understand consumer behavior, marketing researchers often analyze relationships between latent variables, measured by sets of observed variables. Partial least squares structural equation modeling (PLS-SEM) has become a popular tool for analyzing such relationships. Particularly the availability of SmartPLS, a comprehensive software program with an intuitive graphical user interface, helped popularize the method. We review the latest version of SmartPLS and discuss its various features. Our aim is to offer researchers with concrete guidance regarding their choice of a PLS-SEM software that fits their analytical needs.

Notes

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Copyright information

© Springer Nature Limited 2019

Authors and Affiliations

  1. 1.Otto-von-Guericke University MagdeburgMagdeburgGermany
  2. 2.Monash University MalaysiaSelangorMalaysia
  3. 3.Faculty of Economics and ManagementUniversiti Putra MalaysiaSerdangMalaysia

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