The DOI matches its Crossref record; 147 of the 151 references it cites were found in a registry or an index.
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
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“The evaluation results were satisfactory as summarized in Tables 5 and 6.”
From Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021) · cites this paper as Benitez et al., 2020
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
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“Discriminant validity was also further established as the scores of the heterotrait-monotrait (HTMT) ratio of correlations were below the suggested threshold of 0.85 (Benitez et al., 2020).”
From Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021) · cites this paper as Benitez et al., 2020
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“Benitez et al. [114] identify two types of formative constructs, composite, and causal-formative constructs.”
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“The confirmatory composite analysis aims at examining the overall fit of the measurement (saturated) model [114].”
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“All direct values are greater than the thresholds of 0.15 and 0.35, so we can thus conclude that they have moderate to high effect sizes [114].”
In the citing paper
“Questionnaire records were screened sequentially for eligibility and attention.Respondents first completed a visual check to confirm that they correctly identified an AIO (Li & Aral, 2025).Records with abnormally short completion times were then removed (Benítez et al., 2020), followed by records that failed an instructional manipulation check (Oppenheimer et al., 2009).”
From From search results to generative answers: A mixed-methods study of credibility assessment and trust formation in AI Overviews (2027) · cites this paper as Benítez et al., 2020
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
Self-citationPls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
A primer on partial least squares structural equation modeling (PLS-SEM)
Leguina, A. (2015) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2015.1005806 · Cited by 18,921
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Introductory Econometrics: A Modern Approach
Wooldridge, J. M. (1999) · Cited by 14,354
(2014) · DigitalCommons - Kennesaw State University (Kennesaw State University) · Cited by 12,785
Reconsidering Baron and Kenny: myths and truths about mediation analysis
Zhao, X., Lynch, J. G., & Chen, Q. (2010) · Journal of Consumer Research · doi:10.1086/651257 · Cited by 12,583
Flagged first, then by citations
4 of the 151 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- G. Franke, M. Sarstedt, Heuristics versus statistics in discriminant validity testing: a comparison of four procedures, Internet Res. (in press), pp. 1-32.
- Fornell, 1994, Partial least squares, Adv. Methods Market. Res., 407, 52
Cited by
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Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
Hair, J. F., Howard, M. C., & Nitzl, C. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.069 · Cited by 5,446
Mikalef, P., & Gupta, M. (2021) · Information & Management · doi:10.1016/j.im.2021.103434 · Cited by 1,700
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022) · Psychology and Marketing · doi:10.1002/mar.21640 · Cited by 1,844
Improving PLS-SEM Use for Business Marketing Research
Guenther, P., Guenther, M., Ringle, C. M., Zaefarian, G., & Cartwright, S. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.03.010 · Cited by 800
de Kervenoael, R., Hasan, R., Schwob, A., & Goh, E. (2019) · Tourism Management · doi:10.1016/j.tourman.2019.104042 · Cited by 646
Metadata
- Authors
- Benitez, J., Henseler, J., Castillo, A., & Schuberth, F.
- Affiliations
- Universidad de Granada (ES)
- Universidade Nova de Lisboa (PT)
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 57
- Issue
- 2
- Pages
- 103168
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2945049087
- Cited by
- 1,788
- References
- 151
- Citations by year
- 2026: 240 · 2025: 327 · 2024: 346 · 2023: 351 · 2022: 287 · 2021: 169 · 2020: 60
- FWCI
- 102.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Information & Management (publishedVersion, other-oa)
- HAL (submittedVersion, cc-by-nc)
- University of Twente Research Information (submittedVersion, cc-by)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc)
- Funders
- European Regional Development Fund
- Government of Spain
- Research Grant
- Regional Government of Andalusia
- COVIRAN-Prodware Chair of Digital Human Resource Strategy at the University of Granada
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Keywords
- partial least squares, reporting guidelines, information systems research, structural equation modeling, research methodology
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