Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/174332
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dc.contributor.advisorTam Chuem Vai, Carlos-
dc.contributor.authorKoudriachov, Catarina Gonçalves-
dc.date.accessioned2024-10-30T15:08:31Z-
dc.date.issued2024-10-29-
dc.identifier.urihttp://hdl.handle.net/10362/174332-
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligencept_PT
dc.description.abstractDespite the growing use of agile approaches, there remains a considerable research gap in understanding the critical characteristics that influence the effectiveness and acceptance of agile projects. As a result, this research aims to answer the following question: What are the influential factors and practical strategies that contribute to agile project management success? The research model comprises three people-related factors (personal characteristics (PC), team capability (TC), and customer involvement (CI)), three technological factors (gamification, artificial intelligence, and marketing intelligence), and one dependent variable (agile success (SUC)). Based on 143 questionnaire responses, our findings reaffirm the positive impact of PC and CI while challenging the roles of GAM and TC, suggesting that their effects are more context-dependent than previously thought. Our findings also highlight that agile success depends on the interplay between remote work and TC, with strong team skills being crucial for agile methodologies, especially in traditional office settings.pt_PT
dc.language.isoengpt_PT
dc.rightsembargoedAccesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAgile project managementpt_PT
dc.subjectcritical success factorspt_PT
dc.subjectproject strategypt_PT
dc.subjectadaptivenesspt_PT
dc.titleAgile Project Management Success – Unveiling Influential Factors and Practical Strategiespt_PT
dc.typemasterThesispt_PT
thesis.degree.nameMestrado em Marketing Analítico, especialização em Inteligência de Marketingpt_PT
dc.date.embargo2027-10-29-
dc.identifier.tid203778960pt_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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