Why researchers should be cautious about using PLS-SEM
A recent contribution to Industrial Marketing Management by Guenther, Guenther, Ringle, Zaefarian, and Cartwright (2023) aims at “[i]mproving PLS-SEM use.” It assumes that the use of PLS-SEM could be improved by more strictly following existing PLS-SEM guidelines and using advanced techniques. Unfortunately, such “improved” use of PLS-SEM does not necessarily translate into more rigorous scientific analyses. In this commentary, we show that the PLS-SEM guidelines themselves are problematic and that using PLS-SEM can lead to erroneous conclusions. It is, therefore, not so much the use of PLS-SEM that needs improvement, but the literature on PLS-SEM itself, particularly its guidelines. The commentary concludes with recommendations for analysts and questions for PLS-SEM proponents to stimulate further research on PLS-SEM.
Authors
- Jörg Henseler (ORCID: https://orcid.org/0000-0002-9736-3048)
- Nick J. Lee (ORCID: https://orcid.org/0000-0002-6209-0262)
- Florian Schuberth (ORCID: https://orcid.org/0000-0002-2110-9086)
- Ildikó Kemény (ORCID: https://orcid.org/0000-0002-6738-8252)
Publication Details
- Journal
- Industrial Marketing Management
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1016/j.indmarman.2024.01.017
- Citations
- 8
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 15.99
Funders
- Fundação para a Ciência e a Tecnologia