The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Partial least squares structural equation modeling using SmartPLS: a software review
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“We excluded genAI familiarity and gender as control variables due to highly skewed distributions (most participants reported high familiarity; gender was similarly imbalanced). Including severely skewed controls can distort path estimates and threaten the model's validity [56, 118].”
From What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI (2025) · cites this paper as [118]
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Cites
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019) · European Journal of Marketing · doi:10.1108/ejm-02-2019-0189 · Cited by 4,618
Self-citationCommon Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014) · Organizational Research Methods · doi:10.1177/1094428114526928 · Cited by 3,332
Self-citationRethinking some of the rethinking of partial least squares
Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019) · European Journal of Marketing · doi:10.1108/ejm-10-2018-0665 · Cited by 1,839
Self-citationBootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results
Streukens, S., & Leroi-Werelds, S. (2016) · European Management Journal · doi:10.1016/j.emj.2016.06.003 · Cited by 1,120
Cited by
Partial Least Squares Structural Equation Modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022) · Handbook of Market Research · doi:10.1007/978-3-319-57413-4_15 · Cited by 1,483
Self-citationPLS-SEM’s most wanted guidance
Becker, J.-M., Cheah, J.-H., Gholamzade, R., Ringle, C. M., & Sarstedt, M. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-04-2022-0474 · Cited by 1,223
Self-citationPartial Least Squares Structural Equation Modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021) · Handbook of Market Research · doi:10.1007/978-3-319-05542-8_15-2 · Cited by 876
Self-citationTiwari, C. K., Bhat, M. A., Khan, S. T., Subramaniam, R., & Khan, M. A. I. (2024) · Interactive Technology and Smart Education · doi:10.1108/itse-04-2023-0061 · Cited by 315
The job demands-resources model as a theoretical lens for the bright and dark side of digitization
Scholze, A., & Hecker, A. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108177 · Cited by 200
Metadata
- Authors
- Sarstedt, M., & Cheah, J.-H.
- Venue
- Journal of Marketing Analytics
- Published
- 2019-06-27
- Volume
- 7
- Issue
- 3
- Pages
- 196-202
- ISSN
- 2050-3318 (ISSN-L)
- 2050-3326
- OpenAlex
- W2955967463
- Cited by
- 869
- References
- 6
- FWCI
- 53.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Partial least squares structural equation modeling using SmartPLS: a software review. https://app.cochat.ai/papers/10.1057/s41270-019-00058-3
- The paper
- Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-019-00058-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
