How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
•PLS-PM has been subject to many improvements in last years.•Prior PLS guidelines have not covered the entire recent developments.•We explain how to perform and report an up-to-date empirical analysis with PLS.•We provide a fictive illustrative example on business value of social media. Partial leas...
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| Published in | Information & management Vol. 57; no. 2; p. 103168 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.03.2020
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0378-7206 1872-7530 |
| DOI | 10.1016/j.im.2019.05.003 |
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| Abstract | •PLS-PM has been subject to many improvements in last years.•Prior PLS guidelines have not covered the entire recent developments.•We explain how to perform and report an up-to-date empirical analysis with PLS.•We provide a fictive illustrative example on business value of social media.
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. |
|---|---|
| AbstractList | •PLS-PM has been subject to many improvements in last years.•Prior PLS guidelines have not covered the entire recent developments.•We explain how to perform and report an up-to-date empirical analysis with PLS.•We provide a fictive illustrative example on business value of social media.
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. 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. |
| ArticleNumber | 103168 |
| Author | Benitez, Jose Henseler, Jörg Castillo, Ana Schuberth, Florian |
| Author_xml | – sequence: 1 givenname: Jose surname: Benitez fullname: Benitez, Jose email: jose.benitez@rennes-sb.com, joseba@ugr.es organization: Rennes School of Business, Rennes, France – sequence: 2 givenname: Jörg orcidid: 0000-0002-9736-3048 surname: Henseler fullname: Henseler, Jörg email: j.henseler@utwente.nl organization: Department of Design, Production and Management, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands – sequence: 3 givenname: Ana surname: Castillo fullname: Castillo, Ana email: anacastillo@ugr.es organization: Department of Management, School of Business, University of Granada, Granada, Spain – sequence: 4 givenname: Florian orcidid: 0000-0002-2110-9086 surname: Schuberth fullname: Schuberth, Florian email: f.schuberth@utwente.nl organization: Department of Design, Production and Management, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands |
| BackLink | https://rennes-sb.hal.science/hal-02567449$$DView record in HAL |
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| Keywords | Confirmatory and explanatory information systems research Model validation Partial least squares path modeling Composite model Guidelines |
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| Snippet | •PLS-PM has been subject to many improvements in last years.•Prior PLS guidelines have not covered the entire recent developments.•We explain how to perform... Partial least squares path modeling (PLS-PM) is an estimator that has found widespread application for causal information systems (IS) research. Recently, the... |
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| SubjectTerms | Composite model Computer Science Confirmatory and explanatory information systems research Guidelines Humanities and Social Sciences Information Theory Library and information sciences Model validation Partial least squares path modeling |
| Title | How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research |
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