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

Information & management, 2020-03, Vol.57 (2) [Peer Reviewed Journal]

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Title:
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
Author: Benitez, Jose ; Henseler, Jörg ; Castillo, Ana ; Schuberth, Florian
Subjects: Computer Science ; Humanities and Social Sciences ; Information Theory ; Library and information sciences
Is Part Of: Information & management, 2020-03, Vol.57 (2)
Description: 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.
Publisher: Elsevier
Language: English
Identifier: ISSN: 0378-7206
EISSN: 1872-7530
DOI: 10.1016/j.im.2019.05.003
Source: Hyper Article en Ligne (HAL) (Open Access)

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