Sensory perception and purchase behaviour dataset for plant-based products

DOI

This dataset focuses on the sensory perceptions and purchasing intentions of consumers towards plant-based products. Data were collected in 2023 from a sample of 132 Spanish consumers through a structured, validated questionnaire administered via the Qualtrics platform. The questionnaire gathered information on hedonic sensory acceptance, perceived behavioural control, subjective norms, attitudes, and informed tasting experiences related to plant-based food products. The data were analysed using descriptive statistics and partial least squares structural equation modelling (PLS-SEM) to identify the factors influencing purchasing intentions. The dataset offers insights into the moderate attitudes of consumers towards plant-based products, their high ratings of sensory characteristics, and the influence of these factors on purchase decisions. This research aims to inform stakeholders in the food industry about consumer behaviour related to plant-based products, with potential implications for product development and marketing strategies in Spain and similar European markets.

SPSS, 29

SmartPLS, 4.0.9.6

Identifier
DOI https://doi.org/10.34810/data1882
Related Identifier IsCitedBy https://doi.org/10.1016/j.jafr.2024.101188
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1882
Provenance
Creator Mustapa, Muhammad Adzran Che (ORCID: 0000-0002-1358-627X); Kallas, Zein ORCID logo; Silande, Charles; Gagnaire, Valérie ORCID logo; Jan, Gwenael ORCID logo; López-Mas, Laura ORCID logo; Aguiló, Ingrid ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Che Mustapa, Muhammad Adzran; Universitat Politècnica de Catalunya; 181 (CG)
Publication Year 2024
Funding Reference European Union's Horizon 2020 project 2033-LOCALNUTLEG
Rights CC BY-NC 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess true
Contact Che Mustapa, Muhammad Adzran (Universitat Politècnica de Catalunya)
Representation
Resource Type Survey data; Dataset
Format text/tab-separated-values; text/plain
Size 14459; 15228
Version 2.1
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences