How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram
Main Author: | |
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Publication Date: | 2022 |
Other Authors: | , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10071/26528 |
Summary: | This study aims to understand the effect of user-generated content (UGC) campaigns on consumers’ perceptions of brand coolness and its influence on consumer brand engagement. The trendy concept of coolness in the beauty industry is studied through UGC, assessing if brands encouraging consumers to post about their experiences leads to consumers perceiving brands as cool and creating a deeper sense of engagement with that brand. This research intends to assess the interactions incited by a UGC campaign led by the prestigious beauty brand Drunk Elephant. Researchers employed a netnography methodology followed by a sentiment analysis technique to conduct that analysis. Data was retrieved from Instagram for one year using a text-mining tool capable of extracting the comments (67,321 interactions) and analysed using Natural Language Processing tools. Results confirm that adopting UGC campaigns can lead to consumers perceiving a brand to be cool and positively influencing consumer brand engagement. |
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How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on InstagramUser-generated-contentBrand coolnessConsumer brand engagementThis study aims to understand the effect of user-generated content (UGC) campaigns on consumers’ perceptions of brand coolness and its influence on consumer brand engagement. The trendy concept of coolness in the beauty industry is studied through UGC, assessing if brands encouraging consumers to post about their experiences leads to consumers perceiving brands as cool and creating a deeper sense of engagement with that brand. This research intends to assess the interactions incited by a UGC campaign led by the prestigious beauty brand Drunk Elephant. Researchers employed a netnography methodology followed by a sentiment analysis technique to conduct that analysis. Data was retrieved from Instagram for one year using a text-mining tool capable of extracting the comments (67,321 interactions) and analysed using Natural Language Processing tools. Results confirm that adopting UGC campaigns can lead to consumers perceiving a brand to be cool and positively influencing consumer brand engagement.EMAC2022-12-05T14:34:12Z2022-01-01T00:00:00Z20222022-12-05T14:34:55Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10071/26528eng2709-1589Bilro, R. G.Serras, S.Cavalinhos, S.Miguel, L.Marques, S.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T03:53:13Zoai:repositorio.iscte-iul.pt:10071/26528Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:33:23.607040Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram |
title |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram |
spellingShingle |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram Bilro, R. G. User-generated-content Brand coolness Consumer brand engagement |
title_short |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram |
title_full |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram |
title_fullStr |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram |
title_full_unstemmed |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram |
title_sort |
How cool is to be engaged with Drunk Elephant? An analysis of usergenerated content campaigns on Instagram |
author |
Bilro, R. G. |
author_facet |
Bilro, R. G. Serras, S. Cavalinhos, S. Miguel, L. Marques, S. |
author_role |
author |
author2 |
Serras, S. Cavalinhos, S. Miguel, L. Marques, S. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Bilro, R. G. Serras, S. Cavalinhos, S. Miguel, L. Marques, S. |
dc.subject.por.fl_str_mv |
User-generated-content Brand coolness Consumer brand engagement |
topic |
User-generated-content Brand coolness Consumer brand engagement |
description |
This study aims to understand the effect of user-generated content (UGC) campaigns on consumers’ perceptions of brand coolness and its influence on consumer brand engagement. The trendy concept of coolness in the beauty industry is studied through UGC, assessing if brands encouraging consumers to post about their experiences leads to consumers perceiving brands as cool and creating a deeper sense of engagement with that brand. This research intends to assess the interactions incited by a UGC campaign led by the prestigious beauty brand Drunk Elephant. Researchers employed a netnography methodology followed by a sentiment analysis technique to conduct that analysis. Data was retrieved from Instagram for one year using a text-mining tool capable of extracting the comments (67,321 interactions) and analysed using Natural Language Processing tools. Results confirm that adopting UGC campaigns can lead to consumers perceiving a brand to be cool and positively influencing consumer brand engagement. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-05T14:34:12Z 2022-01-01T00:00:00Z 2022 2022-12-05T14:34:55Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/26528 |
url |
http://hdl.handle.net/10071/26528 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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2709-1589 |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
EMAC |
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EMAC |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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