The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
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“Additionally, both the composite reliability (CR) and Cronbach's alpha (α) values for each of the four constructs used in this study exceeded the suggested threshold of 0.70, indicating that the measures exhibit internal consistency, reliability and credibility (Fornell and Larcker, 1981;Hair et al., 2020).”
From Promoting transparency and accountability towards anti-corruption in pharmaceutical procurement system: does e-procurement play a significant role? (2024) · cites this paper as Hair et al., 2020
In the citing paper
“The results presented in Figure 2 and Table 1 provide sufficient evidence for the unidimensionality of the measurement scales in this study, with all observed items demonstrating factor loadings (λ) greater than 0.7 (Hair et al., 2020).”
From Promoting transparency and accountability towards anti-corruption in pharmaceutical procurement system: does e-procurement play a significant role? (2024) · cites this paper as Hair et al., 2020
In the citing paper
“PLS is proficient in handling multicollinearity issues as it can provide reliable findings even in cases of high multicollinearity (Hair et al., 2017, 2020).”
From Sustainable entrepreneurship and knowledge management: Role of green information technology in building sustainable entrepreneurial ecosystems (2025) · cites this paper as Hair et al., 2020
Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc.v1i1.3787 · Cited by 39,094
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
(1998) · Cited by 36,049
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
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
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
Self-citationA 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
Confirmatory factor analysis for applied research
Brown, T. A. (2007) · Choice Reviews Online · doi:10.5860/choice.44-2769 · Cited by 15,621
Research works printed but not linked: 3
- Fassott, 2015, Vol. 9
- Howard, 2018, Scale pretesting, Practical Assessment, Research & Evaluation, 23
- Stouffer, 1950, Vol. 4
Cited by
Sorted by citations
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021) · Classroom Companion: Business · doi:10.1007/978-3-030-80519-7 · Cited by 10,343
Self-citationCB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting
Dash, G., & Paul, J. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121092 · Cited by 2,836
An Introduction to Structural Equation Modeling
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021) · Classroom companion: business · doi:10.1007/978-3-030-80519-7_1 · Cited by 1,932
Self-citationSarstedt, 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
Self-citationPartial 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-citation
Metadata
- Authors
- Hair, J. F., Howard, M. C., & Nitzl, C.
- Affiliations
- University of South Alabama (US)
- Universität der Bundeswehr München (DE)
- Corresponding author
- Hair, Joe F.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 109
- Pages
- 101-110
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2995576379
- Cited by
- 5,446
- References
- 88
- Citations by year
- 2026: 1102 · 2025: 1296 · 2024: 1180 · 2023: 841 · 2022: 592 · 2021: 348 · 2020: 84
- FWCI
- 183.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Business Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- measurement model validation, PLS-SEM, formative constructs, reflective constructs, construct measurement, scale development
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