Modelling consumer acceptance of cultured meat

Detalhes bibliográficos
Autor(a) principal: Schleswig-Holstein, Elena zu
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/10400.14/36963
Resumo: Livestock production causes multiple global problems, including its contribution to climate change. One emerging food production technology that aims to mitigate such negative impacts by reducing livestock production, is producing lab grown meat or cultured meat (CM). As for any emerging technology for novel foods production, next to technical and regulatory challenges, companies developing CM will also have to deal with issues of consumer acceptance. Previous research on novel foods produced with emerging technologies identified three categories of consumer acceptance predictors: Product-related factors, psychological factors and external factors. As variables representing all of these categories are often not included together in existing models on consumer acceptance of CM (e.g., familiarity and subjective norm), our study aimed to replicate and extend a widely cited one by Siegrist and Hartmann (2020b). Using an online survey with 245 participants, results showed that the original model replication was not successful due to multicollinearity, although some predictors of consumer acceptance of CM were confirmed. Trust in the food industry, familiarity with CM and subjective norm regarding CM consumption, were found to be positively correlated with acceptance, while food neophobia and disgust evoked by CM were found to negatively predict CM acceptance. Disgust sensitivity, perceived naturalness of CM, perceived benefits of CM and attitude towards nature were found to be nonsignificant predictors of consumer acceptance of CM. From this, implications for future research and CM marketing are discussed.
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spelling Modelling consumer acceptance of cultured meatDomínio/Área Científica::Ciências Sociais::PsicologiaLivestock production causes multiple global problems, including its contribution to climate change. One emerging food production technology that aims to mitigate such negative impacts by reducing livestock production, is producing lab grown meat or cultured meat (CM). As for any emerging technology for novel foods production, next to technical and regulatory challenges, companies developing CM will also have to deal with issues of consumer acceptance. Previous research on novel foods produced with emerging technologies identified three categories of consumer acceptance predictors: Product-related factors, psychological factors and external factors. As variables representing all of these categories are often not included together in existing models on consumer acceptance of CM (e.g., familiarity and subjective norm), our study aimed to replicate and extend a widely cited one by Siegrist and Hartmann (2020b). Using an online survey with 245 participants, results showed that the original model replication was not successful due to multicollinearity, although some predictors of consumer acceptance of CM were confirmed. Trust in the food industry, familiarity with CM and subjective norm regarding CM consumption, were found to be positively correlated with acceptance, while food neophobia and disgust evoked by CM were found to negatively predict CM acceptance. Disgust sensitivity, perceived naturalness of CM, perceived benefits of CM and attitude towards nature were found to be nonsignificant predictors of consumer acceptance of CM. From this, implications for future research and CM marketing are discussed.A produção pecuária causa múltiplos problemas globais, incluindo ao nível das alterações climáticas. Uma tecnologia alimentar emergente que pretende mitigar esses impactos negativos, reduzindo a produção pecuária é a carne cultivada em laboratório (CC). A CC é a carne produzida em laboratório. Tal como para novos alimentos, a par dos desafios técnicos e regulatórios, as empresas que desenvolvem produtos de CC também terão de lidar com questões de aceitação pelo consumidor. Investigações anteriores sobre novos alimentos produzidos com tecnologias emergentes, identificaram três categorias de preditores da aceitação do consumidor: Factores relacionados com o produto, factores psicológicos e factores externos. Dado que variáveis que representem todas estas categorias não são frequentemente incluídas juntas nos modelos existentes sobre aceitação de CC, o nosso estudo teve como objetivo replicar e alargar um modelo muito citado de Siegrist and Hartmann (2020b). Com base num inquérito online com 245 participantes, os resultados mostraram que a replicação do modelo original não foi bem sucedida devido à multicolinearidade mas ainda assim foram identificados alguns preditores da aceitação da CC. A confiança na indústria alimentar, a familiaridade com a CC e a norma subjectiva relativa à CC, demonstraram correlacionarem-se positivamente com a aceitação, enquanto a neofobia alimentar e a repugnância evocada pela CC foram identificadas como predizendo negativamente a aceitação da CC. A sensibilidade à repugnância , a perceção da CC enquanto algo natural, os benefícios percebidos da CC e a atitude para com a natureza, foram identificadas como preditores não significativos da aceitação da CC pelo consumidor. A partir disto, são discutidas implicações para investigação futura e marketing da CC.Carvalho, Rui Filipe Gaspar deVeritati - Repositório Institucional da Universidade Católica PortuguesaSchleswig-Holstein, Elena zu2022-03-10T10:53:20Z2021-11-102021-092021-11-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/36963TID:202937933enginfo: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:RCAAP2023-07-12T17:42:24Zoai:repositorio.ucp.pt:10400.14/36963Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:30:02.912679Repositório 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 Modelling consumer acceptance of cultured meat
title Modelling consumer acceptance of cultured meat
spellingShingle Modelling consumer acceptance of cultured meat
Schleswig-Holstein, Elena zu
Domínio/Área Científica::Ciências Sociais::Psicologia
title_short Modelling consumer acceptance of cultured meat
title_full Modelling consumer acceptance of cultured meat
title_fullStr Modelling consumer acceptance of cultured meat
title_full_unstemmed Modelling consumer acceptance of cultured meat
title_sort Modelling consumer acceptance of cultured meat
author Schleswig-Holstein, Elena zu
author_facet Schleswig-Holstein, Elena zu
author_role author
dc.contributor.none.fl_str_mv Carvalho, Rui Filipe Gaspar de
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Schleswig-Holstein, Elena zu
dc.subject.por.fl_str_mv Domínio/Área Científica::Ciências Sociais::Psicologia
topic Domínio/Área Científica::Ciências Sociais::Psicologia
description Livestock production causes multiple global problems, including its contribution to climate change. One emerging food production technology that aims to mitigate such negative impacts by reducing livestock production, is producing lab grown meat or cultured meat (CM). As for any emerging technology for novel foods production, next to technical and regulatory challenges, companies developing CM will also have to deal with issues of consumer acceptance. Previous research on novel foods produced with emerging technologies identified three categories of consumer acceptance predictors: Product-related factors, psychological factors and external factors. As variables representing all of these categories are often not included together in existing models on consumer acceptance of CM (e.g., familiarity and subjective norm), our study aimed to replicate and extend a widely cited one by Siegrist and Hartmann (2020b). Using an online survey with 245 participants, results showed that the original model replication was not successful due to multicollinearity, although some predictors of consumer acceptance of CM were confirmed. Trust in the food industry, familiarity with CM and subjective norm regarding CM consumption, were found to be positively correlated with acceptance, while food neophobia and disgust evoked by CM were found to negatively predict CM acceptance. Disgust sensitivity, perceived naturalness of CM, perceived benefits of CM and attitude towards nature were found to be nonsignificant predictors of consumer acceptance of CM. From this, implications for future research and CM marketing are discussed.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-10
2021-09
2021-11-10T00:00:00Z
2022-03-10T10:53:20Z
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