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Predicting meat consumption from concurrent, automatic appraisals : introducing nuance to product appraisals

Daria Altenburg (UGent) and Adriaan Spruyt (UGent)
(2022) APPETITE. 170.
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Abstract
Research into the relationship between automatic product appraisals and consumer behaviour has largely been limited to measuring generic product evaluations (i.e., positive vs. negative). Especially in the context of meat consumption, this approach seems inadequate, as conflicting evaluative product dimensions may play a role in the preference for a plant-based vs. a meat-based diet (e.g., sustainability vs. taste vs. healthiness). We discuss the limitations of this approach and provide a novel tool that can measure automatic appraisals of several stimulus dimensions simultaneously. Using this tool, we register automatic appraisals (health, taste, price, sustainability, ethicality) of meat and vegetarian stimuli, and compare automatic and explicit appraisals in relation to a range of outcome measures, including self-reported likelihood of purchase and reducing meat consumption, willingness to pay, self-reported frequency of meat consumption, and Body Mass Index. Our findings suggest that the measured automatic appraisals represent unique constructs and vary in the degree to which they inform behaviour. Further, variation in the prediction of the outcome variables suggests that the appraisals captured by the explicit and automatic measures differed. Demonstrating unique contributions of the individual automatic appraisals has crucial implications for future research to understand behaviour and improve existing models.
Keywords
Nutrition and Dietetics, General Psychology, Automaticity, Vegetarianism, Meat eating, Sustainability, Implicit measures, Product appraisals, IMPLICIT ASSOCIATION TEST, GREENHOUSE-GAS EMISSIONS, CONSUMER ATTITUDES, DRIVEN ATTENTION, STIMULUS-DRIVEN, FOOD, VEGETARIANS, SUSTAINABILITY, VEGETABLES, VALIDITY

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Citation

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MLA
Altenburg, Daria, and Adriaan Spruyt. “Predicting Meat Consumption from Concurrent, Automatic Appraisals : Introducing Nuance to Product Appraisals.” APPETITE, vol. 170, 2022, doi:10.1016/j.appet.2021.105847.
APA
Altenburg, D., & Spruyt, A. (2022). Predicting meat consumption from concurrent, automatic appraisals : introducing nuance to product appraisals. APPETITE, 170. https://doi.org/10.1016/j.appet.2021.105847
Chicago author-date
Altenburg, Daria, and Adriaan Spruyt. 2022. “Predicting Meat Consumption from Concurrent, Automatic Appraisals : Introducing Nuance to Product Appraisals.” APPETITE 170. https://doi.org/10.1016/j.appet.2021.105847.
Chicago author-date (all authors)
Altenburg, Daria, and Adriaan Spruyt. 2022. “Predicting Meat Consumption from Concurrent, Automatic Appraisals : Introducing Nuance to Product Appraisals.” APPETITE 170. doi:10.1016/j.appet.2021.105847.
Vancouver
1.
Altenburg D, Spruyt A. Predicting meat consumption from concurrent, automatic appraisals : introducing nuance to product appraisals. APPETITE. 2022;170.
IEEE
[1]
D. Altenburg and A. Spruyt, “Predicting meat consumption from concurrent, automatic appraisals : introducing nuance to product appraisals,” APPETITE, vol. 170, 2022.
@article{8743390,
  abstract     = {{Research into the relationship between automatic product appraisals and consumer behaviour has largely been limited to measuring generic product evaluations (i.e., positive vs. negative). Especially in the context of meat consumption, this approach seems inadequate, as conflicting evaluative product dimensions may play a role in the preference for a plant-based vs. a meat-based diet (e.g., sustainability vs. taste vs. healthiness). We discuss the limitations of this approach and provide a novel tool that can measure automatic appraisals of several stimulus dimensions simultaneously. Using this tool, we register automatic appraisals (health, taste, price, sustainability, ethicality) of meat and vegetarian stimuli, and compare automatic and explicit appraisals in relation to a range of outcome measures, including self-reported likelihood of purchase and reducing meat consumption, willingness to pay, self-reported frequency of meat consumption, and Body Mass Index. Our findings suggest that the measured automatic appraisals represent unique constructs and vary in the degree to which they inform behaviour. Further, variation in the prediction of the outcome variables suggests that the appraisals captured by the explicit and automatic measures differed. Demonstrating unique contributions of the individual automatic appraisals has crucial implications for future research to understand behaviour and improve existing models.}},
  articleno    = {{105847}},
  author       = {{Altenburg, Daria and Spruyt, Adriaan}},
  issn         = {{0195-6663}},
  journal      = {{APPETITE}},
  keywords     = {{Nutrition and Dietetics,General Psychology,Automaticity,Vegetarianism,Meat eating,Sustainability,Implicit measures,Product appraisals,IMPLICIT ASSOCIATION TEST,GREENHOUSE-GAS EMISSIONS,CONSUMER ATTITUDES,DRIVEN ATTENTION,STIMULUS-DRIVEN,FOOD,VEGETARIANS,SUSTAINABILITY,VEGETABLES,VALIDITY}},
  language     = {{eng}},
  pages        = {{10}},
  title        = {{Predicting meat consumption from concurrent, automatic appraisals : introducing nuance to product appraisals}},
  url          = {{http://dx.doi.org/10.1016/j.appet.2021.105847}},
  volume       = {{170}},
  year         = {{2022}},
}
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