Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use

Detalhes bibliográficos
Autor(a) principal: Zárate, Jorge Luis Bocanegra
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/134514
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
id RCAP_7f734a4b9e87625c3fcdbe60d7859e3b
oai_identifier_str oai:run.unl.pt:10362/134514
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str
spelling Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To UseFood Delivery ApplicationsPsychographic segmentationBehavioral segmentationClusteringCustomer SegmentationDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis study presents a framework for segmenting Food Delivery Application (FDA) customers based on psychographic and behavioral variables as an alternative to existing segmentation. Customer segments are proposed by applying clustering methods to primary data from an electronic survey. Psychographic and behavioral constructs are formulated as hypotheses based on existing literature, and then evaluated as segmentation variables regarding their discriminatory power for customer segmentation. Detected relevant variables are used in the application of clustering techniques to find adequate boundaries within customer groupings for segmentation purposes. Characterization of customer segments is performed and enriched with implications of findings in FDA marketing strategies. This paper contributes to theory by providing new findings on segmentation that are relevant for an online context. In addition, it contributes to practice by detailing implications of customer segments in an online sales strategy, allowing marketing managers and FDA businesses to capitalize knowledge in their conversion funnel designs.Pinheiro, Flávio Luís PortasOrghian, DianaRUNZárate, Jorge Luis Bocanegra2022-03-15T16:41:15Z2022-02-022022-02-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134514TID:202964345enginfo: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:RCAAP2023-07-10T16:05:46ZPortal AgregadorONG
dc.title.none.fl_str_mv Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
title Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
spellingShingle Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
Zárate, Jorge Luis Bocanegra
Food Delivery Applications
Psychographic segmentation
Behavioral segmentation
Clustering
Customer Segmentation
title_short Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
title_full Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
title_fullStr Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
title_full_unstemmed Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
title_sort Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
author Zárate, Jorge Luis Bocanegra
author_facet Zárate, Jorge Luis Bocanegra
author_role author
dc.contributor.none.fl_str_mv Pinheiro, Flávio Luís Portas
Orghian, Diana
RUN
dc.contributor.author.fl_str_mv Zárate, Jorge Luis Bocanegra
dc.subject.por.fl_str_mv Food Delivery Applications
Psychographic segmentation
Behavioral segmentation
Clustering
Customer Segmentation
topic Food Delivery Applications
Psychographic segmentation
Behavioral segmentation
Clustering
Customer Segmentation
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-03-15T16:41:15Z
2022-02-02
2022-02-02T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/134514
TID:202964345
url http://hdl.handle.net/10362/134514
identifier_str_mv TID:202964345
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1777303060330053632

Registros relacionados