The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
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
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
The antecedents and consequences of customer satisfaction for firms
Anderson, E. W., & Sullivan, M. W. (1993) · Marketing Science · doi:10.1287/mksc.12.2.125 · Cited by 4,610
Conventional wisdom on measurement: A structural equation perspective.
Bollen, K., & Lennox, R. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.2.305 · Cited by 3,618
Ganesh, J., Arnold, M. J., & Reynolds, K. E. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.3.65.18028 · Cited by 1,305
Construct Validity: A Review of Basic Issues and Marketing Practices
Peter, J. P. (1981) · Journal of Marketing Research · doi:10.2307/3150948 · Cited by 1,189
Cited by
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
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013) · Long Range Planning · doi:10.1016/j.lrp.2013.01.001 · Cited by 5,310
Partial least squares structural equation modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017) · Handbook of Market Research · doi:10.1007/978-3-319-05542-8_15-1 · Cited by 3,285
Peng, D. X., & Lai, F. (2012) · Journal of Operations Management · doi:10.1016/j.jom.2012.06.002 · Cited by 1,532
Online customer experience in e-retailing: An empirical model of antecedents and outcomes
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012) · Journal of Retailing · doi:10.1016/j.jretai.2012.03.001 · Cited by 1,131
Hoque, R., & Sorwar, G. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.02.002 · Cited by 1,004
Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M. D., Păun, D., & Mihoreanu, L. (2021) · Sustainability · doi:10.3390/su131810424 · Cited by 561
Willaby, H. W., Costa, D. S. J., Burns, B. D., MacCann, C., & Roberts, R. D. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2014.09.008 · Cited by 419
De Vries, N. J., & Carlson, J. (2014) · Journal of Brand Management · doi:10.1057/bm.2014.18 · Cited by 418
Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective
Tam, C., & Oliveira, T. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.016 · Cited by 383
Martínez Ávila, M., & Fierro Moreno, E. (2018) · RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo · doi:10.23913/ride.v8i16.336 · Cited by 210
Chakraborty, R., Lee, J., Bagchi-Sen, S., Upadhyaya, S., & Raghav Rao, H. (2016) · Decision Support Systems · doi:10.1016/j.dss.2015.12.007 · Cited by 165
Cardoso, A., Gabriel, M., Figueiredo, J., Oliveira, I., Rêgo, R., Silva, R., Oliveira, M., & Meirinhos, G. (2022) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc8030109 · Cited by 115
Mishra, D., Luo, Z., Hazen, B., Hassini, E., & Foropon, C. (2019) · Management Decision · doi:10.1108/md-03-2018-0324 · Cited by 87
Hidayat-ur-Rehman, I., & Alsolamy, M. (2023) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.1016/j.joitmc.2023.100166 · Cited by 48
Influence of social software features on the reuse of Business Intelligence reports
Alpar, P., Engler, T. H., & Schulz, M. (2015) · Information Processing & Management · doi:10.1016/j.ipm.2015.01.004 · Cited by 36
Soror, A. A., Steelman, Z. R., & Limayem, M. (2012) · 2012 45th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2012.219 · Cited by 34
Ning, W., & Inan, F. A. (2024) · Journal of Research on Technology in Education · doi:10.1080/15391523.2023.2196456 · Cited by 29
Balaskas, S., & Yfantidou, I. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2026.1764803 · Cited by 2
Metadata
- Authors
- Götz, O., Liehr-Gobbers, K., & Krafft, M.
- Venue
- Handbook of Partial Least Squares
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009-11-16
- Pages
- 691-711
- OpenAlex
- W136176785
- Cited by
- 1,194
- References
- 11
- FWCI
- 73.81
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
