Abstract

Consumption of the avocado fruit and its availability in the retail market has increased in recent decades and with it the desire to learn more about the market and consumer choices. This research aims to explore the consumers' preference heterogeneity toward avocado fruit in Italy assessing their personal eating orientation and socio-demographic factors. To achieve this purpose, the answers of 817 Italian consumer of avocado were collected using a structured questionnaire shared online at national level. A survey based on the best–worst method was conducted to assess the declared preferences of individuals toward a set of intrinsic, extrinsic and credence attributes of avocado, as well as a latent class analysis of subject preferences indexes was applied to identify different clusters of individuals. The distribution of preferences indexes was investigated among latent classes, which were regressed on the socio-demographic variables covariates using multinomial logistic regression. The results suggest that the desirable attributes for choosing avocado were taste, consistency (ready to eat) and affordable price. In addition, five consumer profiles in the Italian context were defined (named Hedonistic, Avocado fruit lovers, Sustainability sensitive, Value for money and Health sensitive) and characterized in terms of preferences and socio-demographic features. The study addresses a topic that has already been explored, but with an unexploited approach (latent class analysis combined with best–worst choice modeling). Therefore, the results help fill the gap in the existing literature by enriching it with a study that characterizes avocado consumers' preferences considering their heterogeneity in terms of perception and socio-demographic characteristics.

Details

Title
Customer preferences heterogeneity toward avocado: a latent class approach based on the best–worst scaling choice modeling
Author
Giuggioli, Nicole Roberta 1 ; Merlino, Valentina Maria 1 ; Sparacino, Antonina 1   VIAFID ORCID Logo  ; Peano, Cristiana 1 ; Borra, Danielle 1 ; Massaglia, Stefano 1 

 University of Turin, Department of Agricultural, Forest, and Food Sciences, Grugliasco, Turin, Italy (GRID:grid.7605.4) (ISNI:0000 0001 2336 6580) 
Pages
46
Publication year
2023
Publication date
Dec 2023
Publisher
Springer Nature B.V.
e-ISSN
21937532
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2880587368
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.