Evidence map›Paper›PMID 33466320›Full record

ArticleFoods (Basel, Switzerland)2021

A Best-Worst Measure of Attitudes toward Buying Seabream and Seabass Products: An Application to the Island of Gran Canaria.

Javier Cantillo, Juan Carlos Martín, Concepción Román

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. 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

3 authors.

Javier CantilloInstitute of Tourism and Sustainable Economic Development, University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain.ORCID 0000-0002-5442-3960
Juan Carlos MartínInstitute of Tourism and Sustainable Economic Development, University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain.ORCID 0000-0002-2950-2405
Concepción RománInstitute of Tourism and Sustainable Economic Development, University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain.ORCID 0000-0002-0591-1298

Funding

Marie Skłodowska-Curie H2020 action 766347
6 · The paper itself

Abstract

Attitudes are important key drivers that affect consumers' seafood consumption. The present investigation used a best-worst scaling approach to measure the level of importance and satisfaction of consumers' attitudes towards the purchase of seabream and seabass in Gran Canaria (Spain). The investigation also compared the results of the best-worst scaling (BWS) approach with those of the traditional Likert-scale method and offers a different perspective of the results using an Importance-Satisfaction Analysis (ISA). The results indicate that the most important attributes concerned the hygiene and safety of the product, the health benefits, the freshness, the taste and the nutrients. At the same time, these attributes were ranked as those which satisfied consumers the most. However, some of the results obtained from the methodologies differed. The results suggest that, in the Likert-scale task, respondents might be overstating the importance and satisfaction of the attributes; while in the BWS, consumers were forced to evaluate a trade-off in the selection of the best and worst attributes in each scenario, so the task impeded, in principle, to define every attribute as very important and providing a high satisfaction. As a result, we consider that BWS offers more reliable and clearer results than traditional Likert-scale experiments.

Indexed as

attitudesbest worst scalingimportanceisland of Gran Canariasatisfactionseabream and seabass products

Identifiers

PMID33466320
PMCPMC7824765

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.