Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 505699
Title Consumer segmentation as a means to investigate emotional associations to meals
Author(s) Piqueras-Fiszman, Betina; Jaeger, Sara R.
Source Appetite 105 (2016). - ISSN 0195-6663 - p. 249 - 258.
DOI http://dx.doi.org/10.1016/j.appet.2016.05.034
Department(s) Marketing and Consumer Behaviour
WASS
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) Consumer research - Consumer segments - Emotion associations - Food choice factors - Psychographics - Recalled meals
Abstract

Consumers naturally associate emotions to meal occasions and understanding these can advance knowledge of food-related behaviours and attitudes. The present study used an online survey to investigate the emotional associations that people have with recalled meals: 'memorable' (MM) and 'routine' evening (RM). Heterogeneity in the studied consumer population (UK adults, n = 576 and 571, respectively) was accounted for using a data-driven approach to establish emotion-based segments. Two groups of people were identified with very different emotional response patterns to recalled meals. For 'memorable' and 'routine' meals the majority of people (Cluster 1) held strong positive and weak negative emotional associations. In Cluster 2, positive emotions remained more strongly associated than negative emotions, but much less so. In accordance with findings based on other response variables (e.g., preference, attitudes), psychographic variables accounted better for the heterogeneity found in the emotion associations than socio-demographic variables. Participants' level of meal engagement and difficulty in describing feelings (DDF scale) were the two most important predictors of cluster membership.

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