Abstract
Self-classification is used as an a priori approach to tourist typology and market segmentation. However, skepticism still surrounds its ability to incorporate the multidimensionality of tourist behavior. This study seeks to empirically verify the efficacy of a single-item self-classification approach. The robustness of this self-classification measure is examined by comparing it to a data-driven multidimensional psychographic approach in terms of its ability to predict the behaviors of tourists toward food-related destination consumption. Results suggest that the single-item self-classification approach performs equally well as the psychographic approach in segmenting food-related consumption behaviors. The implications and limitations of this study are also discussed.
Original language | English |
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Pages (from-to) | 961-974 |
Number of pages | 14 |
Journal | Asia Pacific Journal of Tourism Research |
Volume | 23 |
Issue number | 10 |
DOIs | |
Publication status | Published - 3 Oct 2018 |
Keywords
- food tourism
- food-related destination consumption
- market segmentation
- psychographic segmentation
- Self-classification
- tourist typology
ASJC Scopus subject areas
- Geography, Planning and Development
- Tourism, Leisure and Hospitality Management