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...

Research on context effects shows that the composition of choice sets and choice framing strongly influences consumer decision-making. Researchers have identified various context effect types and provide insight into their antecedents, consequences, and mechanisms of action. However, the...

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...

Research on context effects shows that the composition of choice sets and choice framing strongly influences consumer decision-making. Researchers have identified various context effect types and provide insight into their antecedents, consequences, and mechanisms of action. However, the...

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...

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,...

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...

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...