Structural equation modeling (SEM) is a statistical analytic framework that allows researchers to specify and test models with observed and latent (or unobservable) variables and their generally linear relationships. In the past decades, SEM has become a standard statistical analysis technique...

This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive...

This commemorative volume honors the contributions of Prof. Joseph F. Hair, Jr., who through his writings, leadership and mentoring has had a profound influence on marketing and other fields of business research. He is widely known for sidestepping mathematically complex ways of teaching...

Purpose: Generalized structured component analysis (GSCA) and partial least squares path modeling (PLSPM) are two key component-based approaches to structural equation modeling that facilitate the analysis of theoretically established models in terms of both explanation and prediction. This...

Onlinehändler haben in den letzten Jahren massiv an Popularität gewonnen und dadurch weite Teile des stationären Handels in eine existenzielle Krise gestürzt. Um gegenüber dem Onlinehandel bestehen zu können, müssen stationäre Geschäfte sich ihres einzigartigen Potenzials zur Ansprache...

Künstliche Intelligenz als der Katalysator für die Modernisierung des Marketings -- Herausforderungen bei der Einführung und Nutzung von Künstlicher Intelligenz -- Die neue Rolle des Chief Marketing Officers.

With the increasing prominence of partial least squares structural equation modeling (PLS-SEM) in business research, the use of latent class analyses for identifying and treating unobserved heterogeneity has also gained momentum. Researchers have introduced various latent class approaches in a...