Which are the main determinants for autonomous driving adoption

Detalhes bibliográficos
Autor(a) principal: Barroso, Jorge Miguel Geraldes
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/106503
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Which are the main determinants for autonomous driving adoptionFull autonomous driving (FAD)UTAUT2Perceived riskPerceived benefitIntention to recommendDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementAutonomous driving aims to avoid road accidents. This innovation afford safety as the major advantage, in other hand, new challenges arise with some risks associated. Automobile drivers often need to make adoption decisions, and without accurate information about autonomous driving it´s unpredictable to measure impact on behaviours. Beyond that, autonomous cars can also change transportation framework, and promotes overall mobility, so it is crucial to study main determinants could affect positively or negatively the adoption and how trustfully benefits and risks are. It was collected a sample of 260 individuals from Portugal to test a model in a combination of unified theory of acceptance and use of technology, with perceived risks, perceived benefits, trust expectation, pleasure to drive, and intention to recommend. The newest model performed the highest explained variation with 73.7% on behavioral intention and has strong influence on recommendation.Oliveira, Tiago André Gonçalves Félix deTam Chuem Vai, CarlosRUNBarroso, Jorge Miguel Geraldes2020-11-02T17:58:56Z2020-10-092020-10-09T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/106503TID:202533700enginfo: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:RCAAP2024-03-11T04:51:27Zoai:run.unl.pt:10362/106503Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:43.901230Repositório 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 Which are the main determinants for autonomous driving adoption
title Which are the main determinants for autonomous driving adoption
spellingShingle Which are the main determinants for autonomous driving adoption
Barroso, Jorge Miguel Geraldes
Full autonomous driving (FAD)
UTAUT2
Perceived risk
Perceived benefit
Intention to recommend
title_short Which are the main determinants for autonomous driving adoption
title_full Which are the main determinants for autonomous driving adoption
title_fullStr Which are the main determinants for autonomous driving adoption
title_full_unstemmed Which are the main determinants for autonomous driving adoption
title_sort Which are the main determinants for autonomous driving adoption
author Barroso, Jorge Miguel Geraldes
author_facet Barroso, Jorge Miguel Geraldes
author_role author
dc.contributor.none.fl_str_mv Oliveira, Tiago André Gonçalves Félix de
Tam Chuem Vai, Carlos
RUN
dc.contributor.author.fl_str_mv Barroso, Jorge Miguel Geraldes
dc.subject.por.fl_str_mv Full autonomous driving (FAD)
UTAUT2
Perceived risk
Perceived benefit
Intention to recommend
topic Full autonomous driving (FAD)
UTAUT2
Perceived risk
Perceived benefit
Intention to recommend
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2020
dc.date.none.fl_str_mv 2020-11-02T17:58:56Z
2020-10-09
2020-10-09T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/106503
TID:202533700
url http://hdl.handle.net/10362/106503
identifier_str_mv TID:202533700
dc.language.iso.fl_str_mv eng
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