Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

This is a preview. Log in through your library . Abstract Appropriate enablers are essential for management of intellectual capital. Through the use of structural equation modeling, we investigate ...

Structural equation modeling (SEM) is a powerful statistical approach for the testing of networks of direct and indirect theoretical causal relationships in complex data sets with intercorrelated ...

They are crucial drivers of economic growth, innovation, and employment (Agyei 2018). Despite their importance, SMEs often face significant challenges, particularly in accessing financial resources ...

introduction to basic concepts, principles, and applications of structural equation modeling including path analysis, confirmatory latent variable models, multiple-group modeling, and latent growth ...