Evidence map›Paper›PMID 40807621›Full record

ArticleFoods (Basel, Switzerland)2025

Using the Rasch Model to Understand Consumers' Behaviour in Buying Kiwifruits.

Luca Iseppi, Giovanni Mian, Enrico Gori, Stefania Troiano, Luca Grispoldi, Ivana Bassi

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Luca IseppiDepartment of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Via delle Scienze 206, 33100 Udine, Italy.ORCID 0000-0002-9019-7032
Giovanni MianDipartimento di Scienze e Tecnologie, Agro-Alimentari-DISTAL, Alma Mater Studiorum Università di Bologna, Viale Giuseppe Fanin, 40-50, 40127 Bologna, Italy.ORCID 0000-0002-3597-5014
Enrico GoriDepartment of Economic and Statistic Sciences, Via Tomadini 30/A, 33100 Udine, Italy.ORCID 0000-0001-5340-1543
Stefania TroianoDepartment of Economic and Statistic Sciences, Via Tomadini 30/A, 33100 Udine, Italy.ORCID 0000-0001-6198-5542
Luca GrispoldiDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo, 4, 06126 Perugia, Italy.
Ivana BassiDepartment of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Via delle Scienze 206, 33100 Udine, Italy.ORCID 0000-0001-9046-8958

Funding

Frutta Friuli SCA financial instruments of the OCM Ortofrutta
6 · The paper itself

Abstract

The market for specialised kiwifruit varieties, such as those with red pulp, remains a niche sector with considerable growth potential in several European countries, including Spain, Italy, Germany, and France. This study applies to the Rasch model to gain a comprehensive understanding of consumer behaviour, specifically pertaining to preferences, attitudes, and propensity towards purchasing both conventional and novel kiwifruit variants. A questionnaire was developed and administered to gather specific information on consumer behaviour. The collected data were analysed using a Rating Scale Rasch Model to construct a valid measure of attitude toward kiwifruit, which was subsequently used in regression models to explain purchase propensity. The findings indicate that marketing strategies should focus on enhancing attitudes towards kiwifruit by leveraging specific product attributes and addressing demographic nuances to effectively promote the consumption of yellow, red, and organic varieties.

Indexed as

Actinidiafruitsmarketmarketing behaviourorganicredyellow

Identifiers

PMID40807621
PMCPMC12346770

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.