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

Jose Benitez Amado*, Jörg Henseler, Ana Castillo, Florian Schuberth

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

20 Citations (Scopus)
119 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
JournalInformation and management
Volume57
Issue number2
Early online date23 May 2019
DOIs
Publication statusPublished - Mar 2020

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