How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

Jose Benitez, Jörg Henseler, Ana Castillo, Florian Schuberth

Research output: Contribution to journalArticle

14 Citations (Scopus)
7 Downloads (Pure)

Abstract

Partial least squares path modeling (PLS-PM)is an estimator that has found widespread application for causal information systems (IS)research. Recently, the method has been subject to many improvements, such as consistent PLS (PLSc)for latent variable models, a bootstrap-based test for overall model fit, and the heterotrait-to-monotrait ratio of correlations for assessing discriminant validity. Scholars who would like to rigorously apply PLS-PM need updated guidelines for its use. This paper explains how to perform and report empirical analyses using PLS-PM including the latest enhancements, and illustrates its application with a fictive example on business value of social media.

Original languageEnglish
Article number103168
Number of pages16
JournalInformation and Management
Volume57
Issue number2
Early online date23 May 2019
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Composite model
  • Confirmatory and explanatory information systems research
  • Guidelines
  • Model validation
  • Partial least squares path modeling

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