The Impact of Storytelling about an Innovative and Sustainable Organic Beef Production System on Product Acceptance, Preference, and Satisfaction.

consumer acceptance consumer preference consumer satisfaction eating habits organic red meat production storytelling sustainability

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
17 Sep 2024
Historique:
received: 23 08 2024
revised: 12 09 2024
accepted: 13 09 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Food labels and storytelling are marketing tools used by the food industry to highlight and communicate important product characteristics to consumers. By using these tools, food companies can influence consumers' attitudes toward the product and potentially the likelihood of purchase. In the present study, we investigated how storytelling about an innovative and sustainable organic beef production system influenced participants' preference and acceptance of a veal steak product and, further, if some information characteristics were more important than others for consumer satisfaction. Without being aware that the samples were identical, participants (

Identifiants

pubmed: 39335869
pii: foods13182940
doi: 10.3390/foods13182940
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Danish Ministry of Environment and Food
ID : 34009-20-1718

Auteurs

Beata Ewa Najdek (BE)

Food Quality Perception and Society Team, iSense Lab, Department of Food Science, Aarhus University, 8200 Aarhus, Denmark.

Nora Chaaban (N)

Food Quality Perception and Society Team, iSense Lab, Department of Food Science, Aarhus University, 8200 Aarhus, Denmark.

Margrethe Therkildsen (M)

Differentiated and Biofunctional Foods Team, Department of Food Science, Aarhus University, 8200 Aarhus, Denmark.

Barbara Vad Andersen (BV)

Food Quality Perception and Society Team, iSense Lab, Department of Food Science, Aarhus University, 8200 Aarhus, Denmark.

Classifications MeSH