Introduction
The integration of artificial intelligence (AI) technologies into business operations is increasingly seen as a pivotal factor in enhancing the sustainable performance of small and medium enterprises (SMEs). A recent study, titled "A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs," published in Nature, provides a comprehensive examination of this phenomenon.
Methodology: SEM-ANN Analysis
The study utilizes a hybrid analytical approach combining Structural Equation Modeling (SEM) and Artificial Neural Network (ANN) analysis. This methodology is designed to offer a robust framework for understanding the complex relationships between AI technologies and sustainable business practices.
Structural Equation Modeling (SEM)
- Purpose: To identify and quantify the relationships between observed and latent variables.
- Application: Used to model the direct and indirect effects of AI technologies on SME performance.
Artificial Neural Network (ANN)
- Purpose: To model non-linear relationships and predict outcomes based on input data.
- Application: Enhances the predictive accuracy of the SEM findings by capturing complex patterns in the data.