PLS path modeling
By Michel Tenenhaus, Vincenzo Esposito Vinzi, Yves-Marie Chatelin, Natale Carlo Lauro. Computational Statistics & Data Analysis, 2005
6,346 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Food Science, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/269bdf5846d71ac3eee425376215e7f1bba42576
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Marko Sarstedt
- Christian M. Ringle
- Jörg Henseler
- Joseph F. Hair
- Theo K. Dijkstra
- Sandra Maria Correia Loureiro
- Kai Oliver Thiele
- Patrícia Oom do Valle
In Food Science
- Christian M. Ringle
- Marko Sarstedt
- Jörg Henseler
- Joseph F. Hair
- Siegfried P. Gudergan
- Pauline Ash Ray
- Geoffrey S. Hubona
- Guy Assaker
In Industrial and Manufacturing Engineering
- Marko Sarstedt
- Christian M. Ringle
- Jörg Henseler
- Joseph F. Hair
- Pauline Ash Ray
- Geoffrey S. Hubona
- Sandra Maria Correia Loureiro
- Theo K. Dijkstra
Citations in the corpus
- Regularized Generalized Canonical Correlation Analysis (2011, neutral): “The most recent review of the PLS approach can be found in Tenenhaus, Esposito Vinzi, Chatelin, and Lauro (2005) .”
- Revisiting the host city: An empirical examination of sport involvement, place attachment, event satisfaction and spectator intentions at the London Olympics (2016, background): “These represent the predominant measures of predictive relevance when using blindfolding procedures (Tenenhaus et al., 2005).”
- Consumer perceptions and purchase behavior toward imperfect fruits and vegetables in an immersive virtual reality grocery store (2019, neutral): “and a bootstrap procedure with 500 replications (Tenenhaus et al., 2005).”
- Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, positive): “Second, we also tests for goodness-of-fit, following the guidelines of Tenenhaus, Vinzi, Chatelin, and Lauro (2005) for PLS path modeling.”
- A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling (2010, methodology): “Besides the thorough compliance with the algebraic terms as formulated by Tenenhaus et al. (2005), the correctness of the PLS code was further verified by contrasting the results of two data analyses conducted with our implementation against the results of the PLS path modeling implementations…”