Analysis of food buying behavior: A multinational study framework

Detalhes bibliográficos
Autor(a) principal: Guiné, Raquel P. F.
Data de Publicação: 2020
Outros Autores: Ferreira, Manuela, Correia, Paula, Bartkiene, E., Szucs, V., Tarcea, M., Ranilović, J., Černelič-Bizjak, M., Isoldi, K., EL-Kenawy, A., Ferreira, V., Klava, D., Korzeniowska, M., Vittadini, E., Leal, M., Frez-Muñoz, L., Papageorgiou, M., Djekić, I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.19/6570
Resumo: To make everyday food choices is a complex pro- cess, involving decisions which are influenced by distinct aspects associated with, among other fac- tors, purchasing ease, competitiveness of the mar- ket, advertising campaigns and marketing strategies, to mention a few related with aspects linked to com- mercialization. Hence, the objective of this study, which is integrated in the EATMOT project, was to as- sess some factors that influence food buying and food choice, in particular related with aspects such as price,convenience and marketing, as a function of some sociodemographic and geographic variables, namely, age, gender, marital status, level of education, living environment and country of residence. This study involved a questionnaire survey undertak- en on 11,960 participants from 16 countries. The in- strument used in this study was validated and trans- lated into the different languages of the participating countries, following double sided translation-checking methodology. The participants were from: Argentina, Brazil, Croatia, Egypt, Greece, Hungary, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Romania, Serbia, Slovenia, and United States of America. The sample was selected by convenience and the partici- pation in the study was voluntary, being the question- naire applied only to adult citizens. Basic descriptive statistics were used for data analysis and the associ- ations between variables were investigated by cross- tabs and chi square tests. Additionally, a tree classifi- cation analysis was performed to assess the relative importance of each of the sociodemographic variables (gender, age group, level of education, country, living environment or marital status). The analysis followed the Classification and Regression Trees (CRT) algorithm with cross validation and the minimum number of cas- es considered for parent or child nodes was 100 and 50, respectively. For all data analysis, the software SPSS from IBM Inc. (version 25) was used and the level of sig- nificance considered was 5%. Results showed statistically significant differences (p < 0.0005) between groups for all sociodemographic vari- ables (gender, age, education, marital status, living en- vironment, country) in terms of the value attributed to convenience, price and marketing when buying foods. In most cases, the associations between the variables were considered very weak, although with a little high- er values for the associations between the country and variables “value convenience” (V = 0.179), “value price” (V = 0.158) and “value marketing” (V = 0.167). Tree clas- sification analysis confirmed for all three dependent variables that the most influential factor was country. This work highlighted that people in different coun - tries and from different sociodemographic groups show different motivations for buying food products.
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spelling Analysis of food buying behavior: A multinational study frameworkFood choiceConveniencePriceBuying intentionMarketingTo make everyday food choices is a complex pro- cess, involving decisions which are influenced by distinct aspects associated with, among other fac- tors, purchasing ease, competitiveness of the mar- ket, advertising campaigns and marketing strategies, to mention a few related with aspects linked to com- mercialization. Hence, the objective of this study, which is integrated in the EATMOT project, was to as- sess some factors that influence food buying and food choice, in particular related with aspects such as price,convenience and marketing, as a function of some sociodemographic and geographic variables, namely, age, gender, marital status, level of education, living environment and country of residence. This study involved a questionnaire survey undertak- en on 11,960 participants from 16 countries. The in- strument used in this study was validated and trans- lated into the different languages of the participating countries, following double sided translation-checking methodology. The participants were from: Argentina, Brazil, Croatia, Egypt, Greece, Hungary, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Romania, Serbia, Slovenia, and United States of America. The sample was selected by convenience and the partici- pation in the study was voluntary, being the question- naire applied only to adult citizens. Basic descriptive statistics were used for data analysis and the associ- ations between variables were investigated by cross- tabs and chi square tests. Additionally, a tree classifi- cation analysis was performed to assess the relative importance of each of the sociodemographic variables (gender, age group, level of education, country, living environment or marital status). The analysis followed the Classification and Regression Trees (CRT) algorithm with cross validation and the minimum number of cas- es considered for parent or child nodes was 100 and 50, respectively. For all data analysis, the software SPSS from IBM Inc. (version 25) was used and the level of sig- nificance considered was 5%. Results showed statistically significant differences (p < 0.0005) between groups for all sociodemographic vari- ables (gender, age, education, marital status, living en- vironment, country) in terms of the value attributed to convenience, price and marketing when buying foods. In most cases, the associations between the variables were considered very weak, although with a little high- er values for the associations between the country and variables “value convenience” (V = 0.179), “value price” (V = 0.158) and “value marketing” (V = 0.167). Tree clas- sification analysis confirmed for all three dependent variables that the most influential factor was country. This work highlighted that people in different coun - tries and from different sociodemographic groups show different motivations for buying food products.Repositório Científico do Instituto Politécnico de ViseuGuiné, Raquel P. F.Ferreira, ManuelaCorreia, PaulaBartkiene, E.Szucs, V.Tarcea, M.Ranilović, J.Černelič-Bizjak, M.Isoldi, K.EL-Kenawy, A.Ferreira, V.Klava, D.Korzeniowska, M.Vittadini, E.Leal, M.Frez-Muñoz, L.Papageorgiou, M.Djekić, I.2021-02-04T14:04:26Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.19/6570engGuiné RPF, Ferreira M, Correia P, Bartkiene E, Szűcs V, Tarcea M, Ranilović J, Černelič-Bizjak M, Isoldi K, EL-Kenawy A, Ferreira V, Klava D, Korzeniowska M, Vittadini E, Leal M, Frez-Muñoz L, Papageorgiou M, Djekić I (2020) Analysis of food buying behavior: A multinational study framework. Journal of Hygienic Engineering and Design, 33, 108-119.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-16T15:28:49Zoai:repositorio.ipv.pt:10400.19/6570Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:44:25.696493Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Analysis of food buying behavior: A multinational study framework
title Analysis of food buying behavior: A multinational study framework
spellingShingle Analysis of food buying behavior: A multinational study framework
Guiné, Raquel P. F.
Food choice
Convenience
Price
Buying intention
Marketing
title_short Analysis of food buying behavior: A multinational study framework
title_full Analysis of food buying behavior: A multinational study framework
title_fullStr Analysis of food buying behavior: A multinational study framework
title_full_unstemmed Analysis of food buying behavior: A multinational study framework
title_sort Analysis of food buying behavior: A multinational study framework
author Guiné, Raquel P. F.
author_facet Guiné, Raquel P. F.
Ferreira, Manuela
Correia, Paula
Bartkiene, E.
Szucs, V.
Tarcea, M.
Ranilović, J.
Černelič-Bizjak, M.
Isoldi, K.
EL-Kenawy, A.
Ferreira, V.
Klava, D.
Korzeniowska, M.
Vittadini, E.
Leal, M.
Frez-Muñoz, L.
Papageorgiou, M.
Djekić, I.
author_role author
author2 Ferreira, Manuela
Correia, Paula
Bartkiene, E.
Szucs, V.
Tarcea, M.
Ranilović, J.
Černelič-Bizjak, M.
Isoldi, K.
EL-Kenawy, A.
Ferreira, V.
Klava, D.
Korzeniowska, M.
Vittadini, E.
Leal, M.
Frez-Muñoz, L.
Papageorgiou, M.
Djekić, I.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Viseu
dc.contributor.author.fl_str_mv Guiné, Raquel P. F.
Ferreira, Manuela
Correia, Paula
Bartkiene, E.
Szucs, V.
Tarcea, M.
Ranilović, J.
Černelič-Bizjak, M.
Isoldi, K.
EL-Kenawy, A.
Ferreira, V.
Klava, D.
Korzeniowska, M.
Vittadini, E.
Leal, M.
Frez-Muñoz, L.
Papageorgiou, M.
Djekić, I.
dc.subject.por.fl_str_mv Food choice
Convenience
Price
Buying intention
Marketing
topic Food choice
Convenience
Price
Buying intention
Marketing
description To make everyday food choices is a complex pro- cess, involving decisions which are influenced by distinct aspects associated with, among other fac- tors, purchasing ease, competitiveness of the mar- ket, advertising campaigns and marketing strategies, to mention a few related with aspects linked to com- mercialization. Hence, the objective of this study, which is integrated in the EATMOT project, was to as- sess some factors that influence food buying and food choice, in particular related with aspects such as price,convenience and marketing, as a function of some sociodemographic and geographic variables, namely, age, gender, marital status, level of education, living environment and country of residence. This study involved a questionnaire survey undertak- en on 11,960 participants from 16 countries. The in- strument used in this study was validated and trans- lated into the different languages of the participating countries, following double sided translation-checking methodology. The participants were from: Argentina, Brazil, Croatia, Egypt, Greece, Hungary, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Romania, Serbia, Slovenia, and United States of America. The sample was selected by convenience and the partici- pation in the study was voluntary, being the question- naire applied only to adult citizens. Basic descriptive statistics were used for data analysis and the associ- ations between variables were investigated by cross- tabs and chi square tests. Additionally, a tree classifi- cation analysis was performed to assess the relative importance of each of the sociodemographic variables (gender, age group, level of education, country, living environment or marital status). The analysis followed the Classification and Regression Trees (CRT) algorithm with cross validation and the minimum number of cas- es considered for parent or child nodes was 100 and 50, respectively. For all data analysis, the software SPSS from IBM Inc. (version 25) was used and the level of sig- nificance considered was 5%. Results showed statistically significant differences (p < 0.0005) between groups for all sociodemographic vari- ables (gender, age, education, marital status, living en- vironment, country) in terms of the value attributed to convenience, price and marketing when buying foods. In most cases, the associations between the variables were considered very weak, although with a little high- er values for the associations between the country and variables “value convenience” (V = 0.179), “value price” (V = 0.158) and “value marketing” (V = 0.167). Tree clas- sification analysis confirmed for all three dependent variables that the most influential factor was country. This work highlighted that people in different coun - tries and from different sociodemographic groups show different motivations for buying food products.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-02-04T14:04:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.19/6570
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv Guiné RPF, Ferreira M, Correia P, Bartkiene E, Szűcs V, Tarcea M, Ranilović J, Černelič-Bizjak M, Isoldi K, EL-Kenawy A, Ferreira V, Klava D, Korzeniowska M, Vittadini E, Leal M, Frez-Muñoz L, Papageorgiou M, Djekić I (2020) Analysis of food buying behavior: A multinational study framework. Journal of Hygienic Engineering and Design, 33, 108-119.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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