Predicting market acceptance of autonomous vehicles

dc.contributor.authorLopes da Costa, R.
dc.contributor.authorPereira, L.
dc.contributor.authorDias, Á.
dc.contributor.authorGonçalves, R.
dc.date.accessioned2023-05-24T16:22:36Z
dc.date.issued2023
dc.date.updated2023-05-24T17:23:00Z
dc.description.abstractNowadays 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.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.identifier.citationLopes da Costa, R., Pereira, L., Dias, Á., & Gonçalves, R. (2023). Predicting market acceptance of autonomous vehicles. International Journal of Business Innovation and Research, 31(1), 1-19. http://dx.doi.org/10.1504/IJBIR.2023.130863
dc.identifier.doi10.1504/IJBIR.2023.130863
dc.identifier.issn1751-0252
dc.identifier.urihttp://hdl.handle.net/10071/28707
dc.language.isoeng
dc.number1
dc.pagination1 - 19
dc.peerreviewedyes
dc.publisherInderscience
dc.rightsopen access
dc.subjectDistribution channelseng
dc.subjectTechnologyeng
dc.subjectAcceptance and useeng
dc.subjectAutonomous vehicleseng
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.titlePredicting market acceptance of autonomous vehicleseng
dc.typearticle
dc.volume31
dspace.entity.typePublicationen
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-95970
iscte.journalInternational Journal of Business Innovation and Research
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.subject.odsCidades e comunidades sustentáveispor

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