Loading…

A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28

PurposeThe purpose of this investigation is to develop a hybrid fuzzy TOPSIS methodology in order to understand in a practical and integrated way, the consuming and buying behavior of EU residents towards Fishery and Aquaculture Products (FAPs), with an emphasis in the consumption and buying frequen...

Full description

Saved in:
Bibliographic Details
Published in:British food journal (1966) 2020-10, Vol.122 (11), p.3403-3417
Main Authors: Cantillo, Javier, Martin, Juan Carlos, Román, Concepción
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c397t-6c350b186b0661bacd321726eaae13e978457f0b011d7d8f5c9827b218e066393
cites cdi_FETCH-LOGICAL-c397t-6c350b186b0661bacd321726eaae13e978457f0b011d7d8f5c9827b218e066393
container_end_page 3417
container_issue 11
container_start_page 3403
container_title British food journal (1966)
container_volume 122
creator Cantillo, Javier
Martin, Juan Carlos
Román, Concepción
description PurposeThe purpose of this investigation is to develop a hybrid fuzzy TOPSIS methodology in order to understand in a practical and integrated way, the consuming and buying behavior of EU residents towards Fishery and Aquaculture Products (FAPs), with an emphasis in the consumption and buying frequency.Design/methodology/approachData were obtained from the Special Eurobarometer Survey (European Union, 2018b), which is a survey of 27,732 EU residents with different socio-demographic characteristics that represent the 28 EU countries. A hybrid fuzzy TOPSIS methodology that synthesizes the consuming and buying behavior of the EU residents toward FAPs was developed.FindingsThe results show that among the countries, Spain has the highest consumption and buying patterns of FAPs, while among the generations it corresponds to the residents born between 1928 and 1945. In addition, there are important differences that depend on the country of residence as well as the generation of the residents. The elasticity analysis evidenced that marketing strategies would have the biggest impact in the countries located in the Central-Eastern zone of the EU and on the generation formed by the people born after 1980.Originality/valueAlthough in the literature there are many studies that aimed to understand the behavior of consumers for FAPs, few investigations have focused on analyzing and integrating both the consumption and buying behavior, and to our best knowledge, there are no studies providing a methodology that allow making comparisons between different countries regarding the consumption and buying behavior of FAPs.
doi_str_mv 10.1108/BFJ-12-2019-0884
format article
fullrecord <record><control><sourceid>proquest_emera</sourceid><recordid>TN_cdi_emerald_primary_10_1108_BFJ-12-2019-0884</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2497265952</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-6c350b186b0661bacd321726eaae13e978457f0b011d7d8f5c9827b218e066393</originalsourceid><addsrcrecordid>eNptkU1v1DAQQC0EEkvhztESFziY-mMTO8el6kJRpVZqK3GzbGeycZWNt3ZcKXvkl-NtuCBxGo9n3ozsh9BHRr8yRtX5t-1PwjjhlDWEKrV-hVZMVoqsS_E1WlFKJaGS_nqL3qX0eEq5lCv0e4P72Ubfki4fjzO-v7m9u7rDe5j60OIpYDOaYT4CnnrALowp7w-TD2O5b7HNsx932EJvnn2IOHS486mHOL-UzVM2Lg9TjoAPMbTZTQl_3m5u0xfsx5eJlw9cvUdvOjMk-PA3nqGH7eX9xQ9yffP96mJzTZxo5ERqJypqmaotrWtmjWsFZ5LXYAwwAY1U60p21FLGWtmqrnKN4tJypqAAohFnSCxzBw870CFar5-5DsYv5zzstHHagua8VppXjImqUJ8WqrzgKUOa9GPIsXxK0nzdlP1VU_HSRZcuF0NKETp9iH5v4qwZ1Sc_uvjRjOuTH33yU5DzBYE9RDO0_yP-MSr-ANqdj-U</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2497265952</pqid></control><display><type>article</type><title>A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28</title><source>ABI/INFORM global</source><source>Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list)</source><creator>Cantillo, Javier ; Martin, Juan Carlos ; Román, Concepción</creator><creatorcontrib>Cantillo, Javier ; Martin, Juan Carlos ; Román, Concepción</creatorcontrib><description>PurposeThe purpose of this investigation is to develop a hybrid fuzzy TOPSIS methodology in order to understand in a practical and integrated way, the consuming and buying behavior of EU residents towards Fishery and Aquaculture Products (FAPs), with an emphasis in the consumption and buying frequency.Design/methodology/approachData were obtained from the Special Eurobarometer Survey (European Union, 2018b), which is a survey of 27,732 EU residents with different socio-demographic characteristics that represent the 28 EU countries. A hybrid fuzzy TOPSIS methodology that synthesizes the consuming and buying behavior of the EU residents toward FAPs was developed.FindingsThe results show that among the countries, Spain has the highest consumption and buying patterns of FAPs, while among the generations it corresponds to the residents born between 1928 and 1945. In addition, there are important differences that depend on the country of residence as well as the generation of the residents. The elasticity analysis evidenced that marketing strategies would have the biggest impact in the countries located in the Central-Eastern zone of the EU and on the generation formed by the people born after 1980.Originality/valueAlthough in the literature there are many studies that aimed to understand the behavior of consumers for FAPs, few investigations have focused on analyzing and integrating both the consumption and buying behavior, and to our best knowledge, there are no studies providing a methodology that allow making comparisons between different countries regarding the consumption and buying behavior of FAPs.</description><identifier>ISSN: 0007-070X</identifier><identifier>ISSN: 1758-4108</identifier><identifier>EISSN: 1758-4108</identifier><identifier>DOI: 10.1108/BFJ-12-2019-0884</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Aquaculture ; Aquaculture products ; Attitudes ; Business &amp; economic sciences ; Buying ; Catfish ; Consumers ; Consumption ; EU28 ; FAPs ; Fish ; Fisheries ; Fishery and aquaculture products ; Fishing ; Fuzzy logic ; Higher education ; Literature reviews ; Methodology ; Méthodes quantitatives en économie &amp; gestion ; Per capita ; Polls &amp; surveys ; Quantitative methods in economics &amp; management ; Residents’ consuming and buying behavior ; Sciences économiques &amp; de gestion ; Seafood ; Structural equation modeling ; Theory of planned behavior ; TOPSIS ; Triangular fuzzy numbers</subject><ispartof>British food journal (1966), 2020-10, Vol.122 (11), p.3403-3417</ispartof><rights>Javier Cantillo, Juan Carlos Martin and Concepción Román</rights><rights>Javier Cantillo, Juan Carlos Martin and Concepción Román. This work is published under https://creativecommons.org/licenses/by-nc/3.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-6c350b186b0661bacd321726eaae13e978457f0b011d7d8f5c9827b218e066393</citedby><cites>FETCH-LOGICAL-c397t-6c350b186b0661bacd321726eaae13e978457f0b011d7d8f5c9827b218e066393</cites><orcidid>0000-0002-5442-3960</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2497265952?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,776,780,881,11666,27900,27901,36036,44338</link.rule.ids></links><search><creatorcontrib>Cantillo, Javier</creatorcontrib><creatorcontrib>Martin, Juan Carlos</creatorcontrib><creatorcontrib>Román, Concepción</creatorcontrib><title>A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28</title><title>British food journal (1966)</title><description>PurposeThe purpose of this investigation is to develop a hybrid fuzzy TOPSIS methodology in order to understand in a practical and integrated way, the consuming and buying behavior of EU residents towards Fishery and Aquaculture Products (FAPs), with an emphasis in the consumption and buying frequency.Design/methodology/approachData were obtained from the Special Eurobarometer Survey (European Union, 2018b), which is a survey of 27,732 EU residents with different socio-demographic characteristics that represent the 28 EU countries. A hybrid fuzzy TOPSIS methodology that synthesizes the consuming and buying behavior of the EU residents toward FAPs was developed.FindingsThe results show that among the countries, Spain has the highest consumption and buying patterns of FAPs, while among the generations it corresponds to the residents born between 1928 and 1945. In addition, there are important differences that depend on the country of residence as well as the generation of the residents. The elasticity analysis evidenced that marketing strategies would have the biggest impact in the countries located in the Central-Eastern zone of the EU and on the generation formed by the people born after 1980.Originality/valueAlthough in the literature there are many studies that aimed to understand the behavior of consumers for FAPs, few investigations have focused on analyzing and integrating both the consumption and buying behavior, and to our best knowledge, there are no studies providing a methodology that allow making comparisons between different countries regarding the consumption and buying behavior of FAPs.</description><subject>Aquaculture</subject><subject>Aquaculture products</subject><subject>Attitudes</subject><subject>Business &amp; economic sciences</subject><subject>Buying</subject><subject>Catfish</subject><subject>Consumers</subject><subject>Consumption</subject><subject>EU28</subject><subject>FAPs</subject><subject>Fish</subject><subject>Fisheries</subject><subject>Fishery and aquaculture products</subject><subject>Fishing</subject><subject>Fuzzy logic</subject><subject>Higher education</subject><subject>Literature reviews</subject><subject>Methodology</subject><subject>Méthodes quantitatives en économie &amp; gestion</subject><subject>Per capita</subject><subject>Polls &amp; surveys</subject><subject>Quantitative methods in economics &amp; management</subject><subject>Residents’ consuming and buying behavior</subject><subject>Sciences économiques &amp; de gestion</subject><subject>Seafood</subject><subject>Structural equation modeling</subject><subject>Theory of planned behavior</subject><subject>TOPSIS</subject><subject>Triangular fuzzy numbers</subject><issn>0007-070X</issn><issn>1758-4108</issn><issn>1758-4108</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>XDTOA</sourceid><sourceid>M0C</sourceid><recordid>eNptkU1v1DAQQC0EEkvhztESFziY-mMTO8el6kJRpVZqK3GzbGeycZWNt3ZcKXvkl-NtuCBxGo9n3ozsh9BHRr8yRtX5t-1PwjjhlDWEKrV-hVZMVoqsS_E1WlFKJaGS_nqL3qX0eEq5lCv0e4P72Ubfki4fjzO-v7m9u7rDe5j60OIpYDOaYT4CnnrALowp7w-TD2O5b7HNsx932EJvnn2IOHS486mHOL-UzVM2Lg9TjoAPMbTZTQl_3m5u0xfsx5eJlw9cvUdvOjMk-PA3nqGH7eX9xQ9yffP96mJzTZxo5ERqJypqmaotrWtmjWsFZ5LXYAwwAY1U60p21FLGWtmqrnKN4tJypqAAohFnSCxzBw870CFar5-5DsYv5zzstHHagua8VppXjImqUJ8WqrzgKUOa9GPIsXxK0nzdlP1VU_HSRZcuF0NKETp9iH5v4qwZ1Sc_uvjRjOuTH33yU5DzBYE9RDO0_yP-MSr-ANqdj-U</recordid><startdate>20201013</startdate><enddate>20201013</enddate><creator>Cantillo, Javier</creator><creator>Martin, Juan Carlos</creator><creator>Román, Concepción</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><general>Emerald</general><scope>XDTOA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7QF</scope><scope>7QQ</scope><scope>7QR</scope><scope>7RQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X2</scope><scope>7XB</scope><scope>8BQ</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AXJJW</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0K</scope><scope>M0Q</scope><scope>M7S</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>SOI</scope><scope>Q33</scope><orcidid>https://orcid.org/0000-0002-5442-3960</orcidid></search><sort><creationdate>20201013</creationdate><title>A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28</title><author>Cantillo, Javier ; Martin, Juan Carlos ; Román, Concepción</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-6c350b186b0661bacd321726eaae13e978457f0b011d7d8f5c9827b218e066393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aquaculture</topic><topic>Aquaculture products</topic><topic>Attitudes</topic><topic>Business &amp; economic sciences</topic><topic>Buying</topic><topic>Catfish</topic><topic>Consumers</topic><topic>Consumption</topic><topic>EU28</topic><topic>FAPs</topic><topic>Fish</topic><topic>Fisheries</topic><topic>Fishery and aquaculture products</topic><topic>Fishing</topic><topic>Fuzzy logic</topic><topic>Higher education</topic><topic>Literature reviews</topic><topic>Methodology</topic><topic>Méthodes quantitatives en économie &amp; gestion</topic><topic>Per capita</topic><topic>Polls &amp; surveys</topic><topic>Quantitative methods in economics &amp; management</topic><topic>Residents’ consuming and buying behavior</topic><topic>Sciences économiques &amp; de gestion</topic><topic>Seafood</topic><topic>Structural equation modeling</topic><topic>Theory of planned behavior</topic><topic>TOPSIS</topic><topic>Triangular fuzzy numbers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cantillo, Javier</creatorcontrib><creatorcontrib>Martin, Juan Carlos</creatorcontrib><creatorcontrib>Román, Concepción</creatorcontrib><collection>Emerald Open Access</collection><collection>CrossRef</collection><collection>Global News &amp; ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Career &amp; Technical Education Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest_ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>METADEX</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Agriculture &amp; Environmental Science Database</collection><collection>ProQuest Asian &amp; European Business Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM global</collection><collection>Agricultural Science Database</collection><collection>European Business Database</collection><collection>ProQuest Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health &amp; Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health &amp; Nursing</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied &amp; Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Université de Liège - Open Repository and Bibliography (ORBI)</collection><jtitle>British food journal (1966)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cantillo, Javier</au><au>Martin, Juan Carlos</au><au>Román, Concepción</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28</atitle><jtitle>British food journal (1966)</jtitle><date>2020-10-13</date><risdate>2020</risdate><volume>122</volume><issue>11</issue><spage>3403</spage><epage>3417</epage><pages>3403-3417</pages><issn>0007-070X</issn><issn>1758-4108</issn><eissn>1758-4108</eissn><abstract>PurposeThe purpose of this investigation is to develop a hybrid fuzzy TOPSIS methodology in order to understand in a practical and integrated way, the consuming and buying behavior of EU residents towards Fishery and Aquaculture Products (FAPs), with an emphasis in the consumption and buying frequency.Design/methodology/approachData were obtained from the Special Eurobarometer Survey (European Union, 2018b), which is a survey of 27,732 EU residents with different socio-demographic characteristics that represent the 28 EU countries. A hybrid fuzzy TOPSIS methodology that synthesizes the consuming and buying behavior of the EU residents toward FAPs was developed.FindingsThe results show that among the countries, Spain has the highest consumption and buying patterns of FAPs, while among the generations it corresponds to the residents born between 1928 and 1945. In addition, there are important differences that depend on the country of residence as well as the generation of the residents. The elasticity analysis evidenced that marketing strategies would have the biggest impact in the countries located in the Central-Eastern zone of the EU and on the generation formed by the people born after 1980.Originality/valueAlthough in the literature there are many studies that aimed to understand the behavior of consumers for FAPs, few investigations have focused on analyzing and integrating both the consumption and buying behavior, and to our best knowledge, there are no studies providing a methodology that allow making comparisons between different countries regarding the consumption and buying behavior of FAPs.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/BFJ-12-2019-0884</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-5442-3960</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0007-070X
ispartof British food journal (1966), 2020-10, Vol.122 (11), p.3403-3417
issn 0007-070X
1758-4108
1758-4108
language eng
recordid cdi_emerald_primary_10_1108_BFJ-12-2019-0884
source ABI/INFORM global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list)
subjects Aquaculture
Aquaculture products
Attitudes
Business & economic sciences
Buying
Catfish
Consumers
Consumption
EU28
FAPs
Fish
Fisheries
Fishery and aquaculture products
Fishing
Fuzzy logic
Higher education
Literature reviews
Methodology
Méthodes quantitatives en économie & gestion
Per capita
Polls & surveys
Quantitative methods in economics & management
Residents’ consuming and buying behavior
Sciences économiques & de gestion
Seafood
Structural equation modeling
Theory of planned behavior
TOPSIS
Triangular fuzzy numbers
title A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-24T07%3A42%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_emera&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20hybrid-fuzzy%20TOPSIS%20method%20to%20analyze%20the%20consumption%20and%20buying%20behavior%20of%20fishery%20and%20aquaculture%20products%20(FAPs)%20in%20the%20EU28&rft.jtitle=British%20food%20journal%20(1966)&rft.au=Cantillo,%20Javier&rft.date=2020-10-13&rft.volume=122&rft.issue=11&rft.spage=3403&rft.epage=3417&rft.pages=3403-3417&rft.issn=0007-070X&rft.eissn=1758-4108&rft_id=info:doi/10.1108/BFJ-12-2019-0884&rft_dat=%3Cproquest_emera%3E2497265952%3C/proquest_emera%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c397t-6c350b186b0661bacd321726eaae13e978457f0b011d7d8f5c9827b218e066393%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2497265952&rft_id=info:pmid/&rfr_iscdi=true