Delivering tomorrow today: The role of cutting-edge technologies such as Artificial Intelligence in drones in shaping new business models

dc.contributor.authorLopes, João M.
dc.contributor.authorSousa, Bruno B.
dc.contributor.authorGomes, Sofia
dc.date.accessioned2025-04-07T12:05:51Z
dc.date.available2025-04-07T12:05:51Z
dc.date.issued2015-04-06
dc.description.abstractDrone delivery services, wich enable faster and more efficient deliveries, reduce costs, minimize environmental impacts and increase satisfaction, have revolutionized global logistics services. Despite these advantages, there are still obstacles to consumers' acceptance of these service, so it is necessary to understand their motivations. This study evaluates how acceptance of the technology influences the perceived usefulness of drone delivery services and the intention to adopt them, considering consumer attitude as a mediating factor. A total of 1108 answers were collected from Portuguese citizens and the Partial Least Square method was applied to a proposed research model. The drone delivery service in Portugal is not yet available in logistics chains. As such, the participants in this study do not yet have an opinion based on experience already carried out. The results indicate that the perceived usefulness of drone delivery services influences consumer attitudes and intention to use them. The technological and task characteristics of drone parcel delivery services positively influence consumers' perceived usefulness of this service. It was also found that consumers are more willing to adopt these services if they are perceived as useful. From the perspective of technology acceptance model (TAM) theory, this study brings empirical insights to extend the literature to drone parcel delivery service technology, and a new model for consumer acceptance of this service is proposed. This study is pioneering in the Portuguese context. Some practical implications are left to help companies and policymakers in faster introducing these services worldwide, namely in Portugal.
dc.identifier.citationGomes, S., Lopes, J. M., & Sousa, B. B. (2025), Delivering tomorrow today: The role of cutting-edge technologies such as Artificial Intelligence in drones in shaping new business models. Research in Transportation Business & Management, 60(published online: 6 April 2025), 101365, 1-10. https://doi.org/10.1016/j.rtbm.2025.101365. Repositório Institucional UPT. https://hdl.handle.net/11328/6249
dc.identifier.issn2210-5395
dc.identifier.issn2210-5409
dc.identifier.urihttps://hdl.handle.net/11328/6249
dc.language.isoeng
dc.publisherElsevier
dc.relationUIDB/04630/2020
dc.relation.hasversionhttps://doi.org/10.1016/j.rtbm.2025.101365
dc.rightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDrone delivery servicesArtificial intelligenceInnovationBusiness modelsConsumer attitudeConsumer intention
dc.subjectArtificial intelligence
dc.subjectInnovation
dc.subjectBusiness models
dc.subjectConsumer attitude
dc.subjectConsumer intention
dc.subject.fosCiências Sociais - Economia e Gestão
dc.subject.ods09 - industry, innovation and infrastructure
dc.titleDelivering tomorrow today: The role of cutting-edge technologies such as Artificial Intelligence in drones in shaping new business models
dc.typejournal article
dcterms.referenceshttps://www.sciencedirect.com/science/article/pii/S221053952500080X
dspace.entity.typePublication
oaire.citation.endPage10
oaire.citation.startPage1
oaire.citation.titleResearch in Transportation Business and Management
oaire.citation.volume60
person.affiliation.nameREMIT - Research on Economics, Management and Information Technologies
person.familyNameGomes
person.givenNameSofia
person.identifier.ciencia-idB415-29D7-EC1A
person.identifier.orcid0000-0002-0326-0655
person.identifier.ridAAX-9149- 2021
person.identifier.scopus-author-id36983012600
relation.isAuthorOfPublication05ebcd91-a47c-4480-bf6a-7865f2014dc2
relation.isAuthorOfPublication.latestForDiscovery05ebcd91-a47c-4480-bf6a-7865f2014dc2

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