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Cited by 300

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research

Open access
Zeng, Ningshuang, Liu, Yan, Gong, Pan, Hertogh, Marcel, König, Markus·2021·Frontiers of Engineering Management

Abstract

Partial least squares structural equation modeling (PLS-SEM) is a modern multivariate analysis technique with a demonstrated ability to estimate theoretically established cause-effect relationship models. This technique has been increasingly adopted in construction management research over the last two decades. Accordingly, a critical review of studies adopting PLS-SEM appears to be a timely and valuable endeavor. This paper offers a critical review of 139 articles that applied PLS-SEM from 2002 to 2019. Results show that the misuse of PLS-SEM can be avoided. Critical issues related to the application of PLS-SEM, research design, model development, and model evaluation are discussed in detail. This paper is the first to highlight the use and misuse of PLS-SEM in the construction management area and provides recommendations to facilitate the future application of PLS-SEM in this field.

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Metadata

Authors
Zeng, N., Liu, Y., Gong, P., Hertogh, M., & König, M.
Venue
Frontiers of Engineering Management
Published
2021-03-27
Volume
8
Issue
3
Pages
356-369
ISSN
  • 2095-7513 (ISSN-L)
  • 2096-0255
OpenAlex
W3151173194
Cited by
300
References
66
FWCI
25.29
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research. https://app.cochat.ai/papers/10.1007/s42524-021-0153-5
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Zeng, N., Liu, Y., Gong, P., Hertogh, M., & König, M. (2021). Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research. Frontiers of Engineering Management. https://doi.org/10.1007/s42524-021-0153-5

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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