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dc.contributor.author
Rojas Rivas, Edgar  
dc.contributor.author
Thomé Ortiz, Humberto  
dc.contributor.author
Cuffia, Facundo  
dc.date.available
2024-02-23T15:06:53Z  
dc.date.issued
2023-08  
dc.identifier.citation
Rojas Rivas, Edgar; Thomé Ortiz, Humberto; Cuffia, Facundo; Projective methods for the study of food consumer behavior: an updated short review of its uses, challenges, and potential applications; Elsevier; Current Opinion in Food Science; 52; 8-2023; 1-10  
dc.identifier.issn
2214-7993  
dc.identifier.uri
http://hdl.handle.net/11336/228216  
dc.description.abstract
Projective methods allow for understanding food consumer behavior quickly and with reliable results. This short review aims to update projective methods for studying food consumer behavior. Several applications of the projective methods were identified, the association, construction, and completion techniques the most common to decipher food consumption behavior. Personification techniques and shopping lists allow for identifying the consumer profile while completing sentences or stories helps to understand the factors that influence or limit food consumption. Finally, the theoretical approaches used by studies with projective methods are based principally on social representations and expectancy-value theories. The big five personality traits theory may be useful for future studies using the shopping list or product personality profile techniques.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
PROJECTIVE METHODS  
dc.subject
FOOD CONSUMER BEHAVIOR  
dc.subject
SOCIAL REPRESENTATIONS  
dc.subject
STABILITY  
dc.subject
RELIABILITY  
dc.subject.classification
Alimentos y Bebidas  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Projective methods for the study of food consumer behavior: an updated short review of its uses, challenges, and potential applications  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-02-16T15:04:00Z  
dc.journal.volume
52  
dc.journal.pagination
1-10  
dc.journal.pais
Países Bajos  
dc.description.fil
Fil: Rojas Rivas, Edgar. Universidad de Las Américas Puebla; México  
dc.description.fil
Fil: Thomé Ortiz, Humberto. Universidad Autónoma del Estado de México; México  
dc.description.fil
Fil: Cuffia, Facundo. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Lactología Industrial. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Lactología Industrial; Argentina  
dc.journal.title
Current Opinion in Food Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2214799323000838  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.cofs.2023.101069