2021
DOI: 10.47263/jasem.5(1)06
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PLS-Sem Statistical Programs: A Review

Abstract: Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little is done to explain the attributes of the different PLS-SEM statistical applications. The objective of this editorial is to discuss a variety of PLS-SEM applications, including SmartPLS, WarpPLS, and ADANCO. It is written based on information received from the developers via emails as well as our ongoing u… Show more

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Cited by 203 publications
(138 citation statements)
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“…The hypothesized reflective model was examined using partial least squares structural equation modeling (PLS-SEM). PLS-SEM is a widely used powerful multivariate data analytical technique in business and social science research disciplines (Memon et al, 2020a).…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…The hypothesized reflective model was examined using partial least squares structural equation modeling (PLS-SEM). PLS-SEM is a widely used powerful multivariate data analytical technique in business and social science research disciplines (Memon et al, 2020a).…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…Nevertheless, more studies need to make the software and, particularly, the bootstrap settings transparent. Furthermore, SmartPLS (Ringle et al, 2015) is currently the most widely applied software, likely due to its user friendliness , features, and functionalities (Memon et al, 2021). However, with new software packages, such as T A B L E 8 Checklist for the application of PLS-SEM Aspect Recommendation/rules of thumb Suggested references…”
Section: Reportingmentioning
confidence: 99%
“…Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used multivariate data analysis methods in the business and social science fields, including in education, psychology, health, and nursing. It is primarily used to examine models with latent variables [ 26 ]. Standard PLS-SEM analyses provide information on the relative importance of constructs for explaining other constructs in a structural model.…”
Section: Introductionmentioning
confidence: 99%