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

By Jose Benitez, Jörg Henseler, Ana Castillo López, Florian Schuberth. Information Manager (The), 2020

1,627 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Information Systems and Management, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/c8e192d51e813805663b189d69bb42490ba6bc22

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Noppadol Manosuthi
2. John S. Edwards
3. Yanqing Duan
4. Heesup Han
5. Yogesh Kumar Dwivedi
6. Jin-Soo Lee
7. Ali Abdallah Alalwan

In Information Systems and Management

1. John S. Edwards
2. Yanqing Duan
3. Guangming Cao
4. Omar Hujran
5. Noppadol Manosuthi
6. Waleed Mugahed Al-Rahmi
7. Ahmad Samed Al-Adwan
8. Heesup Han

In Political Science and International Relations

1. John S. Edwards
2. Yanqing Duan
3. Yogesh Kumar Dwivedi

Citations in the corpus

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• Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021, background): “Discriminant validity was also further established as the scores of the heterotrait-monotrait (HTMT) ratio of correlations were below the suggested threshold of 0.85 (Benitez et al., 2020).”
• Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model (2020, background): “rule of thumb) have been recently criticized by methodologists (Benitez et al., 2020).”