PLS: A Silver Bullet?

By George A. Marcoulides, Carol Stoak Saunders. 2006

433 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/33b8508eaa8d5835d596e564cdc99e81e767587d

How researchers see this paper

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

Citations in the corpus

Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety (2013, background): “The first, termed proactive (see Marcoulides & Chin, in press; Marcoulides & Saunders, 2006), involves conducting simulation studies of a hypothesized model with relationships among the variables specified based on the available research literature; this approach is the focus of this investigation,…”
Using PLS path modeling in new technology research: updated guidelines (2016, background): “PLS is widely used in information systems research (Marcoulides and Saunders, 2006), strategic management (Hair et al., 2012a), marketing (Hair et al., 2012b), and beyond.”
When to use and how to report the results of PLS-SEM (2019, background): “In the past decade, there has been a considerable debate about which situations are more or less appropriate for using PLS-SEM (Goodhue et al., 2012; Marcoulides et al., 2012; Marcoulides and Saunders, 2006; Rigdon, 2014a; Henseler et al., 2014; Khan et al., 2019).”
Estimation issues with PLS and CBSEM: Where the bias lies! ☆ (2016, unknown): “…1982; Hair, Sarstedt, Ringle, & Mena, 2012), strategic management (e.g., Bentler & Huang, 2014; Rigdon, 2012, 2014; Sarstedt, Ringle, Henseler, & Hair, 2014), and management information systems (e.g., Goodhue, Lewis, & Thompson, 2012; Marcoulides & Saunders, 2006; Ringle, Sarstedt, & Straub, 2012).”
An assessment of the use of partial least squares structural equation modeling in marketing research (2011, methodology): “The sample size argument in particular has been the subject of much debate (e.g., Goodhue et al. 2006; Marcoulides and Saunders 2006 ).”
PLS-SEM: Indeed a Silver Bullet (2011, background): “Another is that few researchers viewed PLS-SEM as a “silver bullet” or panacea for dealing with empirical research challenges such as smaller sample sizes (Marcoulides and Saunders 2006; Sosik, Kahai, and Piovoso 2009).”
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture (2008, background): “Marcoulides and Saunders [54] critiqued studies that use PLS with insufficient sample sizes and so we were cognizant of the need for sufficiently large groups of subjects.”
Partial least squares path modeling: Quo vadis? (2018, background): “…as the ‘‘most fully developed and general system’’ (McDonald 1996, p. 240) among variancebased estimators for structural equation modeling, and it is applied across a wide range of disciplines, including information systems research (Marcoulides and Saunders 2006) and marketing (Hair et al. 2012).”
Intentions to use social media in organizing and taking vacation trips (2011, methodology): “However, there is a series of variables that may make the use of collaborative environments difficult and generate a certain cost, as suggested by several authors (Cegarra, Dewhurst, & Briones, 2005; Meroño Cerdán, 2005; Pereira & Chaparro, 2005; Sandulli, Minguela, Rodríguez, & López, 2005).”
Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014, methodology): “However, increasing evidence exists that in many instances, PLS requires a comparable sample size to that used in other techniques [64].”