The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention

Detalhes bibliográficos
Autor(a) principal: Dickmänken, Inna
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/35388
Resumo: Online product reviews have become a relevant information source and sales driver in the online purchase decision process. Being aware of the positive effects, many online sellers engage in measures to increase their amount of highly-rated reviews. Consequently, the instrument of reviews itself and fake reviews in particular became highly relevant for researchers, who put effort into understanding the effects of electronic word of mouth (eWOM) – especially its metrics of valence, the review’s star rating, and volume, the number of reviews – on variables such as purchase intention, perceived and suspicion. The author elaborates on existing research and uncovers that until now no attention has been devoted to the possible effects of extreme values of review volume, although prevailing, e.g., on Amazon. This thesis attempts to fill the identified research gap by proposing consumers use a heuristic approach to interpret the meaning of these metrics. By means of an experiment, the author analyses whether extreme values of review volume in the beginning of the purchase decision process, namely consideration set formation, work as a suspicious cue that implies suspicion and deters consumers from adding a product to their consideration set. The results reveal that an extreme volume does not lead to consumer suspicion, only valence does. Further, it was shown that this resulting feeling of suspicion weakens choice intention while an extreme volume has no impact on choice intention. This thesis is a first contribution to fill the research gap of extreme values of volume.
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spelling The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intentionE-WOME-WOM volumeE-WOM valenceOnline reviewsProduct reviewsFake reviewsHeuristicsPurchase decision making processVolume de e-WOMValência de e-WOMOpiniões onlineOpiniões de produtosOpiniões falsasHeurísticaProcesso de tomada de decisão de compraDomínio/Área Científica::Ciências Sociais::Economia e GestãoOnline product reviews have become a relevant information source and sales driver in the online purchase decision process. Being aware of the positive effects, many online sellers engage in measures to increase their amount of highly-rated reviews. Consequently, the instrument of reviews itself and fake reviews in particular became highly relevant for researchers, who put effort into understanding the effects of electronic word of mouth (eWOM) – especially its metrics of valence, the review’s star rating, and volume, the number of reviews – on variables such as purchase intention, perceived and suspicion. The author elaborates on existing research and uncovers that until now no attention has been devoted to the possible effects of extreme values of review volume, although prevailing, e.g., on Amazon. This thesis attempts to fill the identified research gap by proposing consumers use a heuristic approach to interpret the meaning of these metrics. By means of an experiment, the author analyses whether extreme values of review volume in the beginning of the purchase decision process, namely consideration set formation, work as a suspicious cue that implies suspicion and deters consumers from adding a product to their consideration set. The results reveal that an extreme volume does not lead to consumer suspicion, only valence does. Further, it was shown that this resulting feeling of suspicion weakens choice intention while an extreme volume has no impact on choice intention. This thesis is a first contribution to fill the research gap of extreme values of volume.As opiniões de produtos online tornaram-se uma fonte de informação relevante e um motor de vendas no processo de decisão de compra online. Conscientes dos efeitos positivos, muitos vendedores online tomam medidas para aumentar a quantidade de opiniões altamente positivas. Consequentemente, as opiniões e, em particular, as opiniões falsas tornou-se um tópico altamente relevante para os investigadores, que se têm debruçado sob este assunto na tentativa de compreender os efeitos da word-of-mouth electrónica (eWOM) - especialmente as métricas de valência, a quantidade de estrelas, e o volume, a quantidade de opiniões - sobre variáveis tais como intenção de compra e suspeita. Até ao momento não se tem dado atenção aos possíveis efeitos dos valores extremos do volume de opiniões, embora prevaleçam, por exemplo, na Amazon. Esta tese tenta preencher esta lacuna de investigação, propondo que os consumidores usam uma abordagem heurística para interpretar o significado destas métricas. Através de uma experiência, a autora analisa se os valores extremos do volume de opiniões no início do processo de decisão de compra, nomeadamente a formação de um conjunto de considerações, funcionam como uma pista heurística que origina suspeita e dissuade os consumidores de considerar esse produto. Os resultados revelam que o volume em si não resulta em suspeita, mas a valência sim. Para além disso, mostrou- se que este sentimento de suspeita resultante enfraquece a intenção de escolha, enquanto volume extremo não tem impacto na mesma. Esta tese é uma primeira contribuição para preencher a lacuna da investigação de valores extremos de volume.Almeida, Ana Filipa Martinho deVeritati - Repositório Institucional da Universidade Católica PortuguesaDickmänken, Inna2021-10-04T15:33:23Z2021-04-262021-032021-04-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/35388TID:202728633enginfo: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:RCAAP2023-07-12T17:40:53Zoai:repositorio.ucp.pt:10400.14/35388Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:28:44.146309Repositório 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 The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
title The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
spellingShingle The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
Dickmänken, Inna
E-WOM
E-WOM volume
E-WOM valence
Online reviews
Product reviews
Fake reviews
Heuristics
Purchase decision making process
Volume de e-WOM
Valência de e-WOM
Opiniões online
Opiniões de produtos
Opiniões falsas
Heurística
Processo de tomada de decisão de compra
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
title_full The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
title_fullStr The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
title_full_unstemmed The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
title_sort The impact of extreme levels of electronic word-of-mouth volume on suspicion and choice intention
author Dickmänken, Inna
author_facet Dickmänken, Inna
author_role author
dc.contributor.none.fl_str_mv Almeida, Ana Filipa Martinho de
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Dickmänken, Inna
dc.subject.por.fl_str_mv E-WOM
E-WOM volume
E-WOM valence
Online reviews
Product reviews
Fake reviews
Heuristics
Purchase decision making process
Volume de e-WOM
Valência de e-WOM
Opiniões online
Opiniões de produtos
Opiniões falsas
Heurística
Processo de tomada de decisão de compra
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic E-WOM
E-WOM volume
E-WOM valence
Online reviews
Product reviews
Fake reviews
Heuristics
Purchase decision making process
Volume de e-WOM
Valência de e-WOM
Opiniões online
Opiniões de produtos
Opiniões falsas
Heurística
Processo de tomada de decisão de compra
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Online product reviews have become a relevant information source and sales driver in the online purchase decision process. Being aware of the positive effects, many online sellers engage in measures to increase their amount of highly-rated reviews. Consequently, the instrument of reviews itself and fake reviews in particular became highly relevant for researchers, who put effort into understanding the effects of electronic word of mouth (eWOM) – especially its metrics of valence, the review’s star rating, and volume, the number of reviews – on variables such as purchase intention, perceived and suspicion. The author elaborates on existing research and uncovers that until now no attention has been devoted to the possible effects of extreme values of review volume, although prevailing, e.g., on Amazon. This thesis attempts to fill the identified research gap by proposing consumers use a heuristic approach to interpret the meaning of these metrics. By means of an experiment, the author analyses whether extreme values of review volume in the beginning of the purchase decision process, namely consideration set formation, work as a suspicious cue that implies suspicion and deters consumers from adding a product to their consideration set. The results reveal that an extreme volume does not lead to consumer suspicion, only valence does. Further, it was shown that this resulting feeling of suspicion weakens choice intention while an extreme volume has no impact on choice intention. This thesis is a first contribution to fill the research gap of extreme values of volume.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-04T15:33:23Z
2021-04-26
2021-03
2021-04-26T00:00:00Z
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