Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice
By David Gefen, Detmar W. Straub Jr., Marie-Claude Boudreau. 2000
705 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fb84d24a0d44ab02f99fb1061204f043d648d7de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tao Zhou
- Hee-Woong Kim
- Heng Xu
- Anja H. Olafsen
- Detmar W. Straub Jr.
- Mazen El-Masri
- David Gefen
- Yunjie (Calvin) Xu
Citations in the corpus
- The impact of financial services quality and fairness on customer satisfaction (2012, background): “Despite GFI being (0.88) slightly below the recommended level of 0.9, all other fit indexes meet the recommended levels (Gefen et al., 2000) in that w2/df¼ 2.72 (o3), AGFI¼ 0.85 (40.8), NFI¼ 0.93 (40.9), NNFI¼ 0.95 (40.9), CFI¼ 0.95 (40.9), and RMSEA¼ 0.06 (o0.”
- Understanding the Blockchain technology adoption in supply chains-Indian context (2018, background): “The composite reliability of the construct must be above 0.70 (Gefen, Straub, and Boudreau 2000; Hair et al.2014). iii.”
- The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services (2009, methodology): “Although LISREL usually requires sound theory base and only supports confirmatory research; PLS can support both exploratory and confirmatory research (Gefen et al. 2000).”
- Understanding Online Community User Participation: A Social Influence Perspective (2011, background): “This demonstrates a good convergent validity (Bagozzi and Yi, 1988; Gefen et al., 2000).”
- Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies (2019, background): “…to test for convergent validity included factor loading values above 0.50 (Hair et al. 2014), composite scale reliability (CSR) values above 0.70 (Gefen, Straub, and Boudreau 2000; Hair et al. 2014), and the average variance extracted (AVE) values above 0.50 (Fornell and Larcker 1981; Hair et…”
- Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012, methodology): “While the use of covariance-based SEM (CB-SEM) techniques has been well documented across disciplines (e.g., Medsker et al. 1994; Shook et al. 2004; Steenkamp and Baumgartner 2000), few reviews to date have investigated usage practices specific to PLS-SEM (see, however, Gefen et al. 2000).”