Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use
Autor(a) principal: | |
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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 |
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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:RCAAP2024-03-11T05:12:59Zoai:run.unl.pt:10362/134514Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:09.118511Repositório 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 |
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 |
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TID:202964345 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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