Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/174263
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dc.contributor.advisorNaranjo-Zolotov, Mijail Juanovich-
dc.contributor.authorPessoa, Juliane Augusto-
dc.date.accessioned2024-10-29T15:33:25Z-
dc.date.issued2024-10-23-
dc.identifier.urihttp://hdl.handle.net/10362/174263-
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Research and CRMpt_PT
dc.description.abstractThis study investigates the drivers behind consumers' purchasing decisions on food delivery apps, specifically studying whether impulse or habit predominantly influences these behaviours. By adopting a multifaceted methodology incorporating the Stimulus-OrganismResponse (S-O-R) Model and the Technology Acceptance Model (TAM), a survey-based approach was used to analyse data from 399 users with SmartPLS software. This study aimed to uncover the relationship between the design elements of the app's interface and promotional strategies on impulsive and habitual purchasing patterns. The results reveal that while promotional strategies trigger impulse purchases, factors such as ease of use, visual appeal, and navigation are more significantly associated with promoting habitual purchasing behaviour. This research not only contributes to the theoretical understanding of digital consumer trends, but also provides useful information for optimising app design and marketing strategies to increase user engagement and sales.pt_PT
dc.language.isoengpt_PT
dc.rightsembargoedAccesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectConsumer behaviourpt_PT
dc.subjectFood delivery appspt_PT
dc.subjectImpulsive buyingpt_PT
dc.subjectHabitual buyingpt_PT
dc.subjectUser experiencept_PT
dc.titleAre Consumers Driven by Impulse or Habit? Unveiling Patterns on Food Delivery Appspt_PT
dc.typemasterThesispt_PT
thesis.degree.nameMestrado em Marketing Analítico, especialização em Estudos de Marketing e Gestão do Relacionamento com o Clientept_PT
dc.date.embargo2027-10-23-
dc.identifier.tid203778316pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopt_PT
Aparece nas colecções:NIMS - Dissertações de Mestrado em Marketing Analítico (Data-Driven Marketing)

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