Article ID Journal Published Year Pages File Type
4317080 Food Quality and Preference 2015 12 Pages PDF
Abstract

•We explore neural activations as consumers made food choice involving tradeoffs.•dlPFC and insula activations predicted the choice of higher-priced, “natural” foods.•Neuroimaging data add predictive power beyond that typically used in consumer research.

Consumers must routinely decide whether to pay more for a perceived higher quality good or pay less for lower perceived quality. This study examined brain activations when consumers considered such a tradeoff in the context of food choice involving lower-priced options produced with controversial modern agricultural technologies. Functional magnetic resonance imaging (fMRI) data were obtained while consumers (n = 47) made choices between two milk options which varied in price and/or use of technology (growth hormones and cloning). Results revealed both deliberative and affective processes were involved when deciding whether to choose a higher-price, more “natural” food. Brain activations in the dorsolateral prefrontal cortex and insula predicted the choice of higher-priced but more “natural” foods produced without the use of controversial technology. Brain activations in price-alone or technology-alone decisions predicted behavior in choice tasks involving price-technology tradeoffs, revealing cross-task predictive power. One of the key issues this study addresses is which type of data (e.g., behavioral, neuroimaging, or self-report) best predicts choice between a higher priced option that avoids technologies and a lower price option that uses modern food technologies. Estimates indicate that the best fitting model is one that included all types of data considered: demographics, psychometric scales, product attributes, and neural activations observed via fMRI. Overall, neuroimaging data adds significant predictive and explanatory power beyond the measures typically used in consumer research.

Related Topics
Life Sciences Agricultural and Biological Sciences Food Science
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