Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling
By B. Liengaard, Pratyush Nidhi Sharma, G. Tomas M. Hult, M. B. Jensen, Marko Sarstedt, Joseph F. Hair, Christian M. Ringle. Decision Sciences, 2020
406 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Information Systems and Management, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/73f5bcbd812d1cbfa4e4e7dc147c08244f349270
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Information Systems and Management
- Marko Sarstedt
- Joseph F. Hair
- Christian M. Ringle
- Jun-Hwa (Jacky) Cheah
- Hiram Ting
- Christian Nitzl
- Mumtaz Ali Memon
- Francis Chuah
In Organizational Behavior and Human Resource Management
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Hiram Ting
- Jun-Hwa (Jacky) Cheah
- Christian Nitzl
- Matt C. Howard
- Mumtaz Ali Memon
Citations in the corpus
- Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020, positive): “…condition analysis (Richter et al., 2020), the endogeneity test in PLS (Hult et al., 2018; Sarstedt et al., 2020), PLSpredict (Shmueli et al., 2016, 2019), model selection criteria (Danks et al., 2020; Sharma, 2019a, 2019b), and the cross-validated predictive ability test (Liengaard et al., 2020).”
- Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses! (2020, methodology): “However, recent research has introduced procedures for comparing PLS path models in terms of model fit and predictive power (Liengaard et al., 2020; Sharma et al., 2019, 2020).”