Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 776

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Consumer motivations in the purchase of organic food: A means‐end approach

Open access
Zanoli, Raffaele, Naspetti, Simona·2002·British Food Journal

Abstract

The paper presents partial results from an Italian study on consumer perception and knowledge of organic food and related behaviour. Uses the means‐end chain model to link attributes of products to the needs of consumers. In order to provide insights into consumer motivation in purchasing organic products, 60 respondents were interviewed using “hard” laddering approach to the measurement of means‐end chains. The results (ladders) of these semi‐qualitative interviews are coded, aggregated and presented in a set of hierarchical structured value maps. Even if organic products are perceived as difficult to find and expensive, most consumers judge them positively. All consumers associate organic products with health at different levels of abstraction and want good, tasty and nourishing products, because pleasure and wellbeing are their most important values. Results show that differences exist between groups of consumers with respect to their frequency of use (experience) of organic products and level of information (expertise). Reports and discusses results on consumer cognitive structures at different level of experience.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1108/00070700210425930

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

Metadata

Authors
Zanoli, R., & Naspetti, S.
Venue
British Food Journal
Publisher
Emerald
Published
2002-09-01
Volume
104
Issue
8
Pages
643-653
ISSN
0007-070X (ISSN-L)
OpenAlex
W1674775829
Cited by
776
References
4
FWCI
6.54
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Consumer motivations in the purchase of organic food: A means‐end approach. https://app.cochat.ai/papers/10.1108/00070700210425930
The paper
Zanoli, R., & Naspetti, S. (2002). Consumer motivations in the purchase of organic food: A means‐end approach. British Food Journal. https://doi.org/10.1108/00070700210425930

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.