How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?

Detalhes bibliográficos
Autor(a) principal: Pinheiro, Miguel Ângelo Agudelo
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/27750
Resumo: In a world where owning a car has more to it than just pure necessity, there are other factors that influence perceived effectiveness of Electric Vehicles and it is possible to establish a correlation strong enough to predict how the perceived effectiveness of each one of us towards this semi-recent technology will be affected. A questionnaire was used, and demographic data variables were cross analyzed to establish correlation between them. The study shows that demographics, especially age and education have indeed a correlation with the perceived effectiveness of the consumer, with the results being statistically significant, but correlation coefficient was below the threshold acceptable by the scientific community on these kinds of topics to represent influence between the variables. For future research, it is recommended to collect sample data from a wider generational population, which may help to more precisely identify how age affects environmental awareness and the perceived effectiveness of electric vehicles.
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spelling How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?BEV purchase intentionBEV considerationPolicies and incentivesPerceived technological characteristicsEnvironmental awarenessMobility characteristicsIn a world where owning a car has more to it than just pure necessity, there are other factors that influence perceived effectiveness of Electric Vehicles and it is possible to establish a correlation strong enough to predict how the perceived effectiveness of each one of us towards this semi-recent technology will be affected. A questionnaire was used, and demographic data variables were cross analyzed to establish correlation between them. The study shows that demographics, especially age and education have indeed a correlation with the perceived effectiveness of the consumer, with the results being statistically significant, but correlation coefficient was below the threshold acceptable by the scientific community on these kinds of topics to represent influence between the variables. For future research, it is recommended to collect sample data from a wider generational population, which may help to more precisely identify how age affects environmental awareness and the perceived effectiveness of electric vehicles.No nosso mundo onde possuir um carro tem mais razões do que apenas aquela de necessidade, existirão outros fatores que influenciem a perceção da eficácia dos veículos elétricos e, caso assim o seja, será possível estabelecer uma correlação forte o suficiente para prever como a eficácia como cada um a perceciona relativamente a esta seminova tecnologia será afetada? Foi utilizado um questionário e as variáveis dos dados demográficos foram analisadas de forma cruzada para estabelecer correlação entre elas. O estudo mostra que os dados demográficos, especialmente os de idade e a escolaridade, têm de fato uma correlação com a perceção do consumidor, com resultados estatisticamente significativos, mas o coeficiente de correlação ficou abaixo do limite aceitável pela comunidade científica nesses tipos de tópicos para representar a influência entre as variáveis. Para pesquisas futuras, recomenda-se recolher dados de amostra de uma população geracional mais ampla, o que pode ajudar a identificar de maneira mais precisa como a idade afeta a consciência ambiental e a eficácia percebida dos veículos elétricos.2023-02-06T15:40:46Z2022-12-21T00:00:00Z2022-12-212022-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/27750TID:203198387engPinheiro, Miguel Ângelo Agudeloinfo: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:RCAAP2023-11-09T17:29:33Zoai:repositorio.iscte-iul.pt:10071/27750Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:13:13.317525Repositório 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 How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
title How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
spellingShingle How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
Pinheiro, Miguel Ângelo Agudelo
BEV purchase intention
BEV consideration
Policies and incentives
Perceived technological characteristics
Environmental awareness
Mobility characteristics
title_short How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
title_full How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
title_fullStr How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
title_full_unstemmed How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
title_sort How does perceived effectiveness affect consideration to buy of electric vehicles?: Is there a powerful correlation between environmental awareness and the adoption of this technology?
author Pinheiro, Miguel Ângelo Agudelo
author_facet Pinheiro, Miguel Ângelo Agudelo
author_role author
dc.contributor.author.fl_str_mv Pinheiro, Miguel Ângelo Agudelo
dc.subject.por.fl_str_mv BEV purchase intention
BEV consideration
Policies and incentives
Perceived technological characteristics
Environmental awareness
Mobility characteristics
topic BEV purchase intention
BEV consideration
Policies and incentives
Perceived technological characteristics
Environmental awareness
Mobility characteristics
description In a world where owning a car has more to it than just pure necessity, there are other factors that influence perceived effectiveness of Electric Vehicles and it is possible to establish a correlation strong enough to predict how the perceived effectiveness of each one of us towards this semi-recent technology will be affected. A questionnaire was used, and demographic data variables were cross analyzed to establish correlation between them. The study shows that demographics, especially age and education have indeed a correlation with the perceived effectiveness of the consumer, with the results being statistically significant, but correlation coefficient was below the threshold acceptable by the scientific community on these kinds of topics to represent influence between the variables. For future research, it is recommended to collect sample data from a wider generational population, which may help to more precisely identify how age affects environmental awareness and the perceived effectiveness of electric vehicles.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-21T00:00:00Z
2022-12-21
2022-11
2023-02-06T15:40:46Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/27750
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