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Market research highlights Generation Z's increasing demands for digital brand experiences that inspire word-of-mouth sharing. Virtual reality (VR), an immersive affordances technology, holds promise for experiential marketing due to its power to transform experiences. Yet, limited research has examined how VR influences different facets of brand experiences that empower brand engagement and word-of-mouth. In Study 1, a laboratory experiment demonstrates that VR prompts higher sensory, intellectual, and behavioral brand experiences and word-of-mouth compared to static images and 360° tours, with equal brand engagement as a 360° tour. Study 2 corroborates these findings through a thematic analysis of qualitative insights from Generation Z consumers. This research underscores VR's vital role in fine-tuning brand experience and brand engagement in the experiential marketing context. [ABSTRACT FROM AUTHOR]

Moderation testing through latent factor models is relatively underutilized in hospitality and tourism research. The purpose of this research is to highlight the differences in the treatment of measurements of reflective constructs as composite indices versus latent factors in moderating effect tests in hospitality research. For this research, we build our primer on the investigation of the differences in customer satisfaction with the perceived entertainment experience at a hospitality/tourism attraction, contingent on customers' personality trait extraversion, borrowed from the Big-Five mini marker inventory. Our findings illustrate the consequences of the measurement conceptualization and the representation of constructs in statistical models with interaction effects. While using composites simplifies the estimation of the regression paths and provides a reasonable sense of the direction of the effect and its statistical significance, it is not always aligned with the theoretical and conceptual underpinning of the employed constructs. A statistical model with composites may underestimate an interaction effect, whereas a model with a dichotomized moderator may overestimate the interaction effect. The findings of this research draw the attention of the hospitality and tourism research community on different representations of reflective constructs in their measurement and statistical models. [ABSTRACT FROM AUTHOR]

Weather factors have been shown to affect human behavior and mood. On the other hand, mood has a strong effect on total demand and demand for specific products. In this study, we have tested the effect of 17 different weather factors on the demand for specific restaurant menu items. We have also tested the effect of weather factors on the demand for different menu item categories, on hot and cold, and light, medium, and heavy menu items. The results indicate that different weather factors have different effects on different menu items and that the sales of some items are more affected by weather while others are not affected. These results can be used in the process of menu engineering and for the differential pricing of menu items according to the changes in weather factors. [ABSTRACT FROM PUBLISHER]