Predicting market acceptance of autonomous vehicles

Detalhes bibliográficos
Autor(a) principal: Lopes da Costa, R.
Data de Publicação: 2023
Outros Autores: Pereira, L., Dias, Á., Gonçalves, R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/28707
Resumo: Nowadays we are facing a digital era submerse in technology. Information technology is embracing every industry, causing significant impacts and leading to considerable adaptations. The distribution industry is no exception. This study aims to collect evidence supporting that distribution channels are still not benefiting from information technologies entire potential. This research proposes to understand and analyse the factors that can influence customer mindset towards technology, either positively or negatively, helping to predict technology acceptance and use more accurately, specifically approaching autonomous vehicles, who promise to revolutionise distribution, particularly in terms of mobility. This research analyses autonomous vehicles growth and predict their impact in a global perspective and objectively in the distribution industry. An online survey was conducted, allowing the collection of most up-to-date information about distribution channels, in terms of efficiency and potentialities and concerns influencing the acceptance and use of this innovative technology.
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spelling Predicting market acceptance of autonomous vehiclesDistribution channelsTechnologyAcceptance and useAutonomous vehiclesNowadays we are facing a digital era submerse in technology. Information technology is embracing every industry, causing significant impacts and leading to considerable adaptations. The distribution industry is no exception. This study aims to collect evidence supporting that distribution channels are still not benefiting from information technologies entire potential. This research proposes to understand and analyse the factors that can influence customer mindset towards technology, either positively or negatively, helping to predict technology acceptance and use more accurately, specifically approaching autonomous vehicles, who promise to revolutionise distribution, particularly in terms of mobility. This research analyses autonomous vehicles growth and predict their impact in a global perspective and objectively in the distribution industry. An online survey was conducted, allowing the collection of most up-to-date information about distribution channels, in terms of efficiency and potentialities and concerns influencing the acceptance and use of this innovative technology.Inderscience2024-05-12T00:00:00Z2023-01-01T00:00:00Z20232023-05-24T17:23:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/28707eng1751-025210.1504/IJBIR.2023.130863Lopes da Costa, R.Pereira, L.Dias, Á.Gonçalves, R.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:23:58Zoai:repositorio.iscte-iul.pt:10071/28707Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:10:57.354234Repositório 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 Predicting market acceptance of autonomous vehicles
title Predicting market acceptance of autonomous vehicles
spellingShingle Predicting market acceptance of autonomous vehicles
Lopes da Costa, R.
Distribution channels
Technology
Acceptance and use
Autonomous vehicles
title_short Predicting market acceptance of autonomous vehicles
title_full Predicting market acceptance of autonomous vehicles
title_fullStr Predicting market acceptance of autonomous vehicles
title_full_unstemmed Predicting market acceptance of autonomous vehicles
title_sort Predicting market acceptance of autonomous vehicles
author Lopes da Costa, R.
author_facet Lopes da Costa, R.
Pereira, L.
Dias, Á.
Gonçalves, R.
author_role author
author2 Pereira, L.
Dias, Á.
Gonçalves, R.
author2_role author
author
author
dc.contributor.author.fl_str_mv Lopes da Costa, R.
Pereira, L.
Dias, Á.
Gonçalves, R.
dc.subject.por.fl_str_mv Distribution channels
Technology
Acceptance and use
Autonomous vehicles
topic Distribution channels
Technology
Acceptance and use
Autonomous vehicles
description Nowadays we are facing a digital era submerse in technology. Information technology is embracing every industry, causing significant impacts and leading to considerable adaptations. The distribution industry is no exception. This study aims to collect evidence supporting that distribution channels are still not benefiting from information technologies entire potential. This research proposes to understand and analyse the factors that can influence customer mindset towards technology, either positively or negatively, helping to predict technology acceptance and use more accurately, specifically approaching autonomous vehicles, who promise to revolutionise distribution, particularly in terms of mobility. This research analyses autonomous vehicles growth and predict their impact in a global perspective and objectively in the distribution industry. An online survey was conducted, allowing the collection of most up-to-date information about distribution channels, in terms of efficiency and potentialities and concerns influencing the acceptance and use of this innovative technology.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-01T00:00:00Z
2023
2023-05-24T17:23:00Z
2024-05-12T00:00:00Z
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url http://hdl.handle.net/10071/28707
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1751-0252
10.1504/IJBIR.2023.130863
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