Variance-Based Structural Equation Modeling: Guidelines for Using Partial Least Squares in Information Systems Research

By José L. Roldán, Manuel J. Sánchez-Franco. 2012

1,055 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3a19d97c8f9d2d25c29fd383945b32f651bd0f75

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Isabel Maria Macedo
2. Antonio L. Leal-Rodríguez
3. Gema Albort-Morant
4. Jorge Matute
5. Valentina De Marchi
6. Eva Martínez
7. Isabel Buil
8. Luis Vicente Casaló

In Information Systems and Management

1. Luis Vicente Casaló
2. Daniel Belanche
3. Isabel Maria Macedo
4. Antonio L. Leal-Rodríguez
5. Carlos Flavián
6. Gema Albort-Morant
7. Valentina De Marchi
8. Jorge Matute

In Management Science and Operations Research

1. Isabel Maria Macedo
2. Antonio L. Leal-Rodríguez
3. Gema Albort-Morant
4. Jorge Matute
5. Isabel Buil
6. Eva Martínez
7. Valentina De Marchi
8. Carlos Flavián

Citations in the corpus

• Students' perceptions of Facebook for academic purposes (2014, background): “Furthermore, the average variance extracted (referred to as AVE) exceeds the threshold of 0.50 assuring the convergent validity (Anderson & Gerbing, 1988; Fornell & Larcker, 1981; Koufteros, 1999; Roldán & Sánchez-Franco, 2012).”
• Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2 (2017, methodology): “For adequate discriminant validity, the diagonal elements should be significantly greater than the off-diagonal elements in the corresponding rows and columns (Roldán & Sánchez-Franco 2012).”