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Estudo Geral
Master thesis . 2023
Data sources: Estudo Geral
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Marketing Político: Comunidades de Marca Políticas

Authors: Carvalho, Alexandre Filipe Espadilha Fontes;

Marketing Político: Comunidades de Marca Políticas

Abstract

Objetivo: Esta pesquisa tem como finalidade identificar os antecedentes das comunidades de marca políticas, bem como compreender os mecanismos que possibilitam o aumento da satisfação, word-of-mouth, lealdade e o controlo dos níveis de rivalidade entre várias comunidades políticas.Metodologia: Este estudo empregou a recolha de dados quantitativos, obtendo um total de 363 respostas de eleitores portugueses por meio de um questionário. A validação do modelo conceptual foi conduzida através da análise de Modelos de Equações Estruturais.Resultados: As conclusões deste estudo apontam que o compromisso com a comunidade política exerce uma influência substancial na satisfação com o partido, word-of-mouth positivo, aumento da lealdade com o partido e rivalidade em relação às comunidades concorrente.Limitações: A pesquisa baseou-se em uma amostra de apenas 363 participantes, sugerindo a possibilidade de expandir o número de entrevistados. Implicações Práticas: Este estudo oferece tanto a investigadores quanto a profissionais evidências teóricas e práticas sobre o potencial das comunidades de marca no contexto político. Os resultados deste estudo evidenciam que essas comunidades desempenham um papel crucial na formação e promoção de relações positivas e duradouras entre os eleitores e entre estes e os partidos políticos.Inovação/Importância: Apesar de ser uma área de estudo relativamente recente, o marketing político tem experimentado um crescimento significativo nos últimos anos. Este estudo procura não apenas enriquecer a compreensão do impacto das comunidades políticas em aspetos como a lealdade e a satisfação, mas também estabelecer uma base para pesquisas futuras.

Objective: This research aims to identify the antecedents of political brand communities, as well as understand the mechanisms that enable increased satisfaction, word-of-mouth, loyalty and control of levels of rivalry between various political communities.Methodology: This study employed quantitative data collection, obtaining a total of 363 responses from Portuguese voters through a questionnaire. Validation of the conceptual model was conducted through the analysis of Structural Equation Models.Results: the conclusions of this study indicate that commitment to the political community has a substantial influence on satisfaction with the party, positive word-of-mouth, increased loyalty to the party and rivalry in relation to competing communities.Limitations: The research was based on a sample of only 363 participants, suggesting the possibility of expanding the number of interviewees.Practical Implications: This study offers both researchers and practitioners theoretical and practical evidence about the potential of brand communities in the political context. The results of this study show that these communities play a crucial role in forming and promoting positive and lasting relationships between voters and between them and political parties.Innovation/Importance: Despite being a relatively recent area of study, political marketing has experienced significant growth in recent years. This study seeks not only to enrich the understanding of the impact of political communities on aspects such as loyalty and satisfaction, but also to establish a basis for future research.

Dissertação de Mestrado em Marketing apresentada à Faculdade de Economia

Country
Portugal
Related Organizations
Keywords

Commitment to the brand community, Comunidade de Marca, Political marketing, Comunidade de Marca Política, Compromisso com a Comunidade de Marca, Marketing Político, Political Brand Community, Brand community

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green