An updated and expanded assessment of PLS-SEM in information systems research
Abstract
Purpose: Following the call for awareness of accepted reporting practices by Ringle, Sarstedt, and Straub in 2012, the purpose of this paper is to review and analyze the use of partial least squares structural equation modeling (PLS-SEM) in Industrial Management & Data Systems ( IMDS ) and extend MIS Quarterly ( MISQ ) applications to include the period 2012-2014. Design/methodology/approach: Review of PLS-SEM applications in information systems (IS) studies published in IMDS and MISQ for the period 2010-2014 identifying a total of 57 articles reporting the use of or commenting on PLS-SEM. Findings: The results indicate an increased maturity of the IS field in using PLS-SEM for model complexity and formative measures and not just small sample sizes and non-normal data. Research limitations/implications: Findings demonstrate the continued use and acceptance of PLS-SEM as an accepted research method within IS. PLS-SEM is discussed as the preferred SEM method when the research objective is prediction. Practical implications: This update on PLS-SEM use and recent developments will help authors to better understand and apply the method. Researchers are encouraged to engage in complete reporting procedures. Originality/value: Applications of PLS-SEM for exploratory research and theory development are increasing. IS scholars should continue to exercise sound practice by reporting reasons for using PLS-SEM and recognizing its wider applicability for research. Recommended reporting guidelines following Ringle et al. (2012) and Gefen et al. (2011) are included. Several important methodological updates are included as well.
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Cronbach's Alpha, rho A, and Composite Reliability were within acceptable thresholds for all dimensions.
“Although Cronbach's Alpha, rho A, and Composite Reliability were within the acceptable thresholds for all dimensions (Henseler et al. 2016; Hair et al. 2017)”
From Cybervetting job applicants on social media: the new normal? (2020) · cites this paper as Hair et al. 2017
CFA showed item loadings of all factors exceed 0.60.
“As shown in the table, the item loadings of all factors in the study exceed the threshold value of 0.60 as recommended by Hair et al. [113].”
From How social media usage affects psychological and subjective well-being: testing a moderated mediation model (2023) · cites this paper as [113]
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- Authors
- Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L.
- Affiliations
- University of South Alabama (US)
- Kennesaw State University (US)
- University of Nottingham Ningbo China (CN)
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2017-04-10
- Volume
- 117
- Issue
- 3
- Pages
- 442-458
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2595629513
- Cited by
- 4,043
- References
- 42
- Citations by year
- 2026: 549 · 2025: 794 · 2024: 738 · 2023: 638 · 2022: 510 · 2021: 334 · 2020: 264 · 2019: 147 · 2018: 56 · 2017: 9 · 2016: 2
- FWCI
- 114.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Industrial Management & Data Systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Business Strategies and Management Research
- Keywords
- partial least squares structural equation modeling, PLS-SEM, information systems research, reporting guidelines, model complexity, small sample size, non-normal data, MIS Quarterly
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