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Sarstedt, Marko ORCID logoORCID: https://orcid.org/0000-0002-5424-4268; Hair, Joseph F. und Ringle, Christian M. ORCID logoORCID: https://orcid.org/0000-0002-7027-8804 (2023): “PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances. In: Journal of Marketing Theory and Practice, Bd. 31, Nr. 3: S. 261-275

Volltext auf 'Open Access LMU' nicht verfügbar.

Abstract

Structural equation modeling (SEM) has become a quasi-standard in marketing and management research when it comes to analyzing the cause-effect relations between latent constructs. For most researchers, SEM is equivalent to carrying out covariance-based SEM (CB-SEM). While marketing researchers have a basic understanding of CB-SEM, most of them are only barely familiar with the other useful approach to SEM-partial least squares SEM (PLS-SEM). The current paper reviews PLS-SEM and its algorithm, and provides an overview of when it can be most appropriately applied, indicating its potential and limitations for future research. The authors conclude that PLS-SEM path modeling, if appropriately applied, is indeed a "silver bullet" for estimating causal models in many theoretical models and empirical data situations.

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