Influencer marketing: a qualitative analysis of factors motivating online purchase intent
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/69492 |
Resumo: | Over the past few years, influencer marketing has become one of the biggest focal points for marketers. It is important for companies to understand the drivers behind consumer online purchase intent, so they can partner with the right influencers and continue to reap the benefits of influencer marketing. These drivers were explored through 15 semi-structured interviews. They were analyzed against the Source Credibility Model using the Gioia Methodology. Preliminary results from the study include three aggregate dimensions as the main drivers of online purchases: Perceived Benefit, Degree of Risk, and Group Identification. Degree of Risk was found to be the most important determinant of online purchase intent, and perceived risk was higher when considering making purchases through smartphones, also known as mobile shopping. Therefore, in order to curate an effective influencer marketing strategy, we suggest for companies to properly vet influencers prior to entering a partnership, engage in constant and open communication, and to consider partnering with affiliate apps to make mobile shopping more convenient and lessen the degree of perceived risk |
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Influencer marketing: a qualitative analysis of factors motivating online purchase intentInfluencer marketingSocial media influencersOnline Purchase IntentDomínio/Área Científica::Ciências Sociais::Economia e GestãoOver the past few years, influencer marketing has become one of the biggest focal points for marketers. It is important for companies to understand the drivers behind consumer online purchase intent, so they can partner with the right influencers and continue to reap the benefits of influencer marketing. These drivers were explored through 15 semi-structured interviews. They were analyzed against the Source Credibility Model using the Gioia Methodology. Preliminary results from the study include three aggregate dimensions as the main drivers of online purchases: Perceived Benefit, Degree of Risk, and Group Identification. Degree of Risk was found to be the most important determinant of online purchase intent, and perceived risk was higher when considering making purchases through smartphones, also known as mobile shopping. Therefore, in order to curate an effective influencer marketing strategy, we suggest for companies to properly vet influencers prior to entering a partnership, engage in constant and open communication, and to consider partnering with affiliate apps to make mobile shopping more convenient and lessen the degree of perceived riskMartinez, Luís F.RUNHeras, Natasha De Las2019-05-13T13:17:56Z2019-01-152019-01-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/69492TID:202224066enginfo: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:RCAAP2024-03-11T04:32:55Zoai:run.unl.pt:10362/69492Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:57.928326Repositório 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 |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent |
title |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent |
spellingShingle |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent Heras, Natasha De Las Influencer marketing Social media influencers Online Purchase Intent Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent |
title_full |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent |
title_fullStr |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent |
title_full_unstemmed |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent |
title_sort |
Influencer marketing: a qualitative analysis of factors motivating online purchase intent |
author |
Heras, Natasha De Las |
author_facet |
Heras, Natasha De Las |
author_role |
author |
dc.contributor.none.fl_str_mv |
Martinez, Luís F. RUN |
dc.contributor.author.fl_str_mv |
Heras, Natasha De Las |
dc.subject.por.fl_str_mv |
Influencer marketing Social media influencers Online Purchase Intent Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Influencer marketing Social media influencers Online Purchase Intent Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
Over the past few years, influencer marketing has become one of the biggest focal points for marketers. It is important for companies to understand the drivers behind consumer online purchase intent, so they can partner with the right influencers and continue to reap the benefits of influencer marketing. These drivers were explored through 15 semi-structured interviews. They were analyzed against the Source Credibility Model using the Gioia Methodology. Preliminary results from the study include three aggregate dimensions as the main drivers of online purchases: Perceived Benefit, Degree of Risk, and Group Identification. Degree of Risk was found to be the most important determinant of online purchase intent, and perceived risk was higher when considering making purchases through smartphones, also known as mobile shopping. Therefore, in order to curate an effective influencer marketing strategy, we suggest for companies to properly vet influencers prior to entering a partnership, engage in constant and open communication, and to consider partnering with affiliate apps to make mobile shopping more convenient and lessen the degree of perceived risk |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-13T13:17:56Z 2019-01-15 2019-01-15T00:00:00Z |
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/10362/69492 TID:202224066 |
url |
http://hdl.handle.net/10362/69492 |
identifier_str_mv |
TID:202224066 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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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 |
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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 |
reponame_str |
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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