Table 1 Comparison of PLS-SEM and XAI... | Emerald Publishing

Table 1

Comparison of PLS-SEM and XAI methods for business-related problems

Feature	PLS-SEM	XAI
Developers	Various authors (Ringle et al., 2015; Hair et al., 2019; Henseler, 2020)	Multiple researchers and developers (Adadi and Berrada, 2018)
Main focus	Comprehensive PLS-SEM analysis	Interpretability and explainability in AI
Interface	User-friendly (e.g. ADANCO, SmartPLS)	Specific to the XAI technique/tool
Model evaluation criteria	Incorporates advanced features and algorithms; includes goodness of fit measures	Varies depending on the XAI method
Predictive accuracy	Good, but may vary depend on the method and model	Good, but dependent on the particular machine learning model
Interpretability and explainability	Fair	Excellent
Applicability to complex models	Good	Excellent
Prediction, explanation	Balanced emphasis	Explanatory emphasis

Feature	PLS-SEM	XAI
Developers	Various authors (Ringle et al., 2015; Hair et al., 2019; Henseler, 2020)	Multiple researchers and developers (Adadi and Berrada, 2018)
Main focus	Comprehensive PLS-SEM analysis	Interpretability and explainability in AI
Interface	User-friendly (e.g. ADANCO, SmartPLS)	Specific to the XAI technique/tool
Model evaluation criteria	Incorporates advanced features and algorithms; includes goodness of fit measures	Varies depending on the XAI method
Predictive accuracy	Good, but may vary depend on the method and model	Good, but dependent on the particular machine learning model
Interpretability and explainability	Fair	Excellent
Applicability to complex models	Good	Excellent
Prediction, explanation	Balanced emphasis	Explanatory emphasis

Source: This information was compiled by the authors from a comprehensive review of related literature, supplemented with ratings based on the author’s expertise