Perceived quality in fresh peaches: an approach through structural equation modeling
Ver/Abrir
Autor/a
Mora, Marcos
Espinoza, Jacqueline
Schnettler, Berta
Predieri, Stefano
Infante, Rodrigo
Fecha de publicación
2011-02-28ISSN
0718-1620
Resumen
The quality requirements that consumers consider in their
decision to purchase fresh fruit have garnered a great deal of attention from the actors in the
fresh fruit productivity chain. This study seeks to identify attributes that could explain how a
consumer of fresh peaches perceives quality. The focus on the peach was because of the limited
knowledge of the signs of quality that the consumer is seeking in this fruit. As a result, the
objective was to produce a model that explains the perception of the quality of fresh peaches by
Spanish consumers. A theoretical model was created that explains quality using a set of intrinsic
and extrinsic attributes. The information was from a survey of closed questions administered
in person to a non-probabilistic sample of 192 Spanish consumers. The methodology used was
structural equation modeling, with an analysis for goodness of fit using the indicators CMIN/
DF, RMR, NFI, RFI, RMSEA, and HOELTER. Thus, by adjusting the values recommended by
the literature, a model was identified that explains the quality decisions of the consumers studied
using two sets of attributes: intrinsic and extrinsic. Finally, significant and strong relationships
were established between the perceived quality and the homogeneity of the fruit and between
the perceived quality and the availability in supermarkets and fruit stores.
Tipo de documento
Artículo
Versión del documento
Versión publicada
Lengua
English
Materias (CDU)
633 - Cultivos y producciones
Páginas
12
Publicado por
Pontificia Universidad Católica de Chile
Publicado en
Ciencia e investigacíón agraria
Citación
Mora, Marcos, Jacqueline Espinoza, Berta Schnettler, Gemma Echeverría, Stefano Predieri, and Rodrigo Infante. 2011. “Perceived Quality in Fresh Peaches: An Approach Through Structural Equation Modeling.” Ciencia e Investigación Agraria 38 (2): 179–190. doi:10.4067/s0718-16202011000200002
Program
Postcollita
Este ítem aparece en la(s) siguiente(s) colección(ones)
- ARTICLES CIENTÍFICS [2663]
Excepto si se señala otra cosa, la licencia del ítem se describe como http://creativecommons.org/licenses/by-nc/4.0/