Culinary tourism: Satisfaction with a culinary event utilizing importance-performance grid analysis

Abstract

The aim of this research was to provide a practical method for assessing satisfaction at a culinary event. Twenty-seven culinary event attributes items were analyzed from an international culinary event. MANOVA was employed to identify differences between importance and performance measures. Importance-performance analysis (IPA) was subsequently used to assist culinary event organizers while identifying critical performance attributes in order to improve customer satisfaction. Findings revealed food and beverage prices, come/ go, convenient parking, and food tasting had high importance scores, yet low performance measures. The use of multiple regression analysis confirmed three out of the four attribute items had a predictive effect on overall satisfaction.