Data mining and mall users profile

Marketing scholars have suggested a need for more empirical research on consumer response to malls, in order to have a better understanding of the variables that explain the behavior of the consumers. The segmentation methodology CHAID (Chi-square automatic interaction detection) was used in order t...

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Detalles Bibliográficos
Autores: Romeo Delgado, Marina, Yepes i Baldó, Montserrat, Codina, Núria (Codina Mata), Pestana, José Vicente, Guàrdia-Olmos, Joan, 1958-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/44354
Acceso en línea:https://hdl.handle.net/2445/44354
Access Level:acceso abierto
Palabra clave:Conducta dels consumidors
Centres comercials
Mineria de dades
Consumer behavior
Shopping centers
Data mining
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spelling Data mining and mall users profileRomeo Delgado, MarinaYepes i Baldó, MontserratCodina, Núria (Codina Mata)Pestana, José VicenteGuàrdia-Olmos, Joan, 1958-Conducta dels consumidorsCentres comercialsMineria de dadesConsumer behaviorShopping centersData miningMarketing scholars have suggested a need for more empirical research on consumer response to malls, in order to have a better understanding of the variables that explain the behavior of the consumers. The segmentation methodology CHAID (Chi-square automatic interaction detection) was used in order to identify the profiles of consumers with regard to their activities at malls, on the basis of socio-demographic variables and behavioral variables (how and with whom they go to the malls). A sample of 790 subjects answered an online questionnaire. The CHAID analysis of the results was used to identify the profiles of consumers with regard to their activities at malls. In the set of variables analyzed the transport used in order to go shopping and the frequency of visits to centers are the main predictors of behavior in malls. The results provide guidelines for the development of effective strategies to attract consumers to malls and retain them there.Pontificia Universidad Javeriana2013201320132013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion14 p.application/pdfapplication/pdfhttps://hdl.handle.net/2445/44354Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésUniversitas Psychologica, 2013, vol. 12, num. 1, p. 195-207(c) Pontificia Universidad Javeriana, 2013info:eu-repo/semantics/openAccessoai:recercat.cat:2445/443542026-05-29T05:05:01Z
dc.title.none.fl_str_mv Data mining and mall users profile
title Data mining and mall users profile
spellingShingle Data mining and mall users profile
Romeo Delgado, Marina
Conducta dels consumidors
Centres comercials
Mineria de dades
Consumer behavior
Shopping centers
Data mining
title_short Data mining and mall users profile
title_full Data mining and mall users profile
title_fullStr Data mining and mall users profile
title_full_unstemmed Data mining and mall users profile
title_sort Data mining and mall users profile
dc.creator.none.fl_str_mv Romeo Delgado, Marina
Yepes i Baldó, Montserrat
Codina, Núria (Codina Mata)
Pestana, José Vicente
Guàrdia-Olmos, Joan, 1958-
author Romeo Delgado, Marina
author_facet Romeo Delgado, Marina
Yepes i Baldó, Montserrat
Codina, Núria (Codina Mata)
Pestana, José Vicente
Guàrdia-Olmos, Joan, 1958-
author_role author
author2 Yepes i Baldó, Montserrat
Codina, Núria (Codina Mata)
Pestana, José Vicente
Guàrdia-Olmos, Joan, 1958-
author2_role author
author
author
author
dc.subject.none.fl_str_mv Conducta dels consumidors
Centres comercials
Mineria de dades
Consumer behavior
Shopping centers
Data mining
topic Conducta dels consumidors
Centres comercials
Mineria de dades
Consumer behavior
Shopping centers
Data mining
description Marketing scholars have suggested a need for more empirical research on consumer response to malls, in order to have a better understanding of the variables that explain the behavior of the consumers. The segmentation methodology CHAID (Chi-square automatic interaction detection) was used in order to identify the profiles of consumers with regard to their activities at malls, on the basis of socio-demographic variables and behavioral variables (how and with whom they go to the malls). A sample of 790 subjects answered an online questionnaire. The CHAID analysis of the results was used to identify the profiles of consumers with regard to their activities at malls. In the set of variables analyzed the transport used in order to go shopping and the frequency of visits to centers are the main predictors of behavior in malls. The results provide guidelines for the development of effective strategies to attract consumers to malls and retain them there.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013
2013
2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/44354
url https://hdl.handle.net/2445/44354
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Universitas Psychologica, 2013, vol. 12, num. 1, p. 195-207
dc.rights.none.fl_str_mv (c) Pontificia Universidad Javeriana, 2013
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Pontificia Universidad Javeriana, 2013
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pontificia Universidad Javeriana
publisher.none.fl_str_mv Pontificia Universidad Javeriana
dc.source.none.fl_str_mv Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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