Partial least squares structural equation modeling (PLS‐SEM) is an essential element of marketing researchers' methodological toolbox. During the last decade, the PLS‐SEM field has undergone massive developments, raising the question of whether the method's users are following the most...

Generalized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model...

Scientific research demands robust findings, yet variability in results persists due to researchers' decisions in data analysis. Despite strict adherence to state‐of the‐art methodological norms, research results can vary when analyzing the same data. This article aims to explore this...

Recent research on partial least squares structural equation modeling (PLS–SEM) extended the classic importance–performance map analysis (IPMA) by taking the results of a necessary condition analysis (NCA) into consideration. By also highlighting necessary conditions, the combined...

Even though the concept of loyalty has been a key issue in tourism destination marketing for the last decades, the issue of customer loyalty in the case of travel agencies seems to be less emphasized in the specialized literature. The current research is part of a larger study directed at...

Psychological state alterations induced by substance-related physiological mechanisms affect consumer decision-making. We examine the influence of caffeine—the world's most popular psychostimulant—on the attraction effect. In three double-blinded experiments, we show that caffeine intake via...

There are broadly two dimensions on which researchers can evaluate their statistical models: explanatory power and predictive power. Using data on job satisfaction in ageing workforces, we empirically highlight the importance of distinguishing between these two dimensions clearly by showing that...

Picking one ‘winner’ model for researching a certain phenomenon while discarding the rest implies a confidence that may misrepresent the evidence. Multimodel inference allows researchers to more accurately represent their uncertainty about which model is ‘best’. But multimodel inference,...

Die steigende Anzahl an Reaktanzen der Konsumenten gegenüber jeglicher Form von Werbung, insbesondere aber der klassischen, zwingt Unternehmen heute mehr denn je dazu, neue Möglichkeiten zu suchen, um die Wünsche der Kunden erforschen und besser erfüllen zu können. Gerade den latenten, dem...