TY - JOUR
T1 - How to perform and report an impactful analysis using partial least squares
T2 - Guidelines for confirmatory and explanatory IS research
AU - Benitez, Jose
AU - Henseler, Jörg
AU - Castillo, Ana
AU - Schuberth, Florian
N1 - Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information and Management, 57(2), [103168]. https://doi.org/10.1016/j.im.2019.05.003
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
KW - Composite model
KW - Confirmatory and explanatory information systems research
KW - Guidelines
KW - Model validation
KW - Partial least squares path modeling
UR - http://www.scopus.com/inward/record.url?scp=85066292371&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=000515208300003
U2 - 10.1016/j.im.2019.05.003
DO - 10.1016/j.im.2019.05.003
M3 - Article
AN - SCOPUS:85066292371
VL - 57
JO - Information & Management
JF - Information & Management
SN - 0378-7206
IS - 2
M1 - 103168
ER -