Cited by 140Sensory Analysis and Statistical MethodsConsumer Attitudes and Food LabelingEnvironmental Sustainability in Business

How circular will you eat? The sustainability challenge in food and consumer reaction to either waste-to-value or yet underused novel ingredients in food

Aschemann-Witzel, Jessica, Peschel, Anne Odile·2019·Food Quality and Preference

Abstract

In the light of the sustainability challenge ahead, the food sector has to become more resource efficient. This includes moving towards a circularity approach in which by-products from production side-streams are re-inserted into the food chain. However, it is unclear how consumers react to food products based on ingredients previously wasted in the supply chain, or innovative food ingredients from yet underused production streams. The current study uses an experimental survey design to assess consumer attitude towards a plant-based cocoa drink among 491 Danish consumers of cocoa-flavoured drinks. In a between-subjects design, the product is first, either from the market leader in plant-based drinks or from an unfamiliar, non-Danish brand, second, contains either potato or grass protein, and third, is presented with or without communication on the sustainability benefit. The benefit consists of potato protein being from by-products previously wasted, and grass protein an innovative ingredient yet underused for food purpose. Attitude towards the new product is assessed relative to a soy based cocoa drink of the same brand. ANOVA results show a main effect of gender and brand and an interaction of ingredient with both brand and communication, respectively. For both grass and potato proteins, the unknown brand is relatively preferred – more pronounced for potato – and better liked by males. Communication improves attitude towards potato drink. Findings imply that brand- and product design-related differences play a role in determining attitude to products with such new ingredients. Consumers’ relatively lower attitude towards the potato ingredient can be alleviated by communication.

Integrity signals

Registry

Crossref · 10.1016/j.foodqual.2019.04.012

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Aschemann-Witzel, J., & Peschel, A. O.
Affiliations
Aarhus University (DK)
Venue
Food Quality and Preference
Publisher
Elsevier BV
Published
2019-10
Volume
77
Pages
15-20
ISSN
0950-3293 (ISSN-L)
OpenAlex
W2943972674
Cited by
140
References
19
Citations by year
2026: 14 · 2025: 24 · 2024: 19 · 2023: 26 · 2022: 15 · 2021: 26 · 2020: 13 · 2019: 3
FWCI
11.00
Type
journal article
Language
en
Open access
closed
Locations
Food Quality and Preference (publishedVersion)
Funders
Innovationsfonden
Topics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Sensory Analysis and Statistical Methods
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
  • Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
Keywords
food waste valorization, consumer attitudes, novel food ingredients, potato protein, grass protein, sustainability communication, brand familiarity, gender differences, food by-products

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review