Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
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Composite reliability (CR) and Cronbach's alpha (α) values for each of the four constructs exceeded 0.70.
“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
All observed items demonstrated factor loadings (λ) greater than 0.7.
“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
PLS is proficient in handling multicollinearity issues.
“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
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Customer Experience in Fintech
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PLS-SEM for Software Engineering Research
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Social media influencers: An effective marketing approach?
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Publishing quantitative papers with rigor and transparency
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Self-citationUsing augmented reality to reduce cognitive dissonance and increase purchase intention
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Determinants of digital technology adoption in innovative SMEs
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Sustainable leadership in higher education institutions: social innovation as a mechanism
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Women's empowerment and tourism development: A cross-country study
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Perceived Omnichannel Customer Experience (OCX): Concept, measurement, and impact
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Does digital literacy influence students’ online risk? Evidence from Covid-19
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Student Attitudes towards Chat GPT: A Technology Acceptance Model Survey
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Smart supply chain and firm performance: the role of digital technologies
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Adoption paths of digital transformation in manufacturing SME
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- 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 · 2019: 1 · 2017: 1 · 2016: 1
- 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 › Decision Sciences › Management Science and Operations Research › 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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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.
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