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

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  • Marko Sarstedt

    (Otto-von-Guericke University Magdeburg
    Monash University Malaysia)

  • Jun-Hwa Cheah

    (Universiti Putra Malaysia)

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.

Suggested Citation

  • Marko Sarstedt & Jun-Hwa Cheah, 2019. "Partial least squares structural equation modeling using SmartPLS: a software review," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 196-202, September.
    • Handle: RePEc:pal:jmarka:v:7:y:2019:i:3:d:10.1057_s41270-019-00058-3
    DOI: 10.1057/s41270-019-00058-3
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    References listed on IDEAS

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