Meta-Analytic Structural Equation Modeling (MASEM) represents a powerful and integrative statistical framework that combines the rigour of meta-analysis with the complexity of structural equation ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...

Analyst Insight: Most forecasting models and AI approaches used today are considered statistical models, which require large amounts of high-quality data to build the model. Often, data is difficult ...

This paper presents a semi-structural macroeconomic model aimed at facilitating policy analysis and forecasting, primarily in countries with imperfect capital mobility and hybrid monetary policy ...

In this month's issue of Supply Chain Management Review, we look at what lessons supply chain leaders can take from Olympic skier Lindsay Vonn’s career to ensure their digital transformation is a ...

Over the past decade, structural biology has been profoundly transformed by advances in computational power, algorithmic ...