Journal
INFORMATION & MANAGEMENT
Volume 57, Issue 2, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.im.2019.05.003
Keywords
Partial least squares path modeling; Guidelines; Model validation; Composite model; Confirmatory and explanatory information systems research
Funding
- European Regional Development Fund (European Union)
- Government of Spain [ECO2017-84138-P, FPU14/01930]
- Regional Government of Andalusia [P11SEJ-7294]
- COVIRAN-Prodware Chair of Digital Human Resource Strategy at the University of Granada
- Endowed Chair of Business Value of IT of the Green, Demand, Digital Driven-supply Chain Excellence Area at Rennes School of Business
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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.
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