Repository logo
 
Publication

Using extended reality and machine learning in digital marketing focusing tourism

2024Conference paper Open access
Simple item page
dc.contributor.authorCunha, Carlos R.
dc.contributor.authorGomes, João Pedro
dc.contributor.authorMendonça, Vítor
dc.date.accessioned2024-07-12T08:59:14Z
dc.date.available2024-07-12T08:59:14Z
dc.date.issued2024
dc.description.abstractTechnology has shaped the way in which all economic sectors evolve and reinvent themselves in order to achieve a high level of competitiveness. The tourism sector, being information-intensive and globalizing, at a time when never before have so many people traveled to so many destinations, needs to be competitive in the way it promotes destinations and assists visitors, providing useful and effective information. In order to achieve this goal, it is necessary to innovate in the way visitors are reached before they decide to choose one destination, as well as understand the aspirations of visitors throughout the entire visiting process—before, during, and after the visit. This reality has made the tourism ecosystem more complex and more dependent on the use of technology which, today and in the future, does not only focus in the support of operational management issues, but increasingly requires the use of technology for anticipate visitors’ aspirations and innovation in information and service delivery mechanisms. In this context, Extended Reality and Machine Learning are two emerging technologies with an enormous potential. This paper, after an introduction, reviews the Extended Reality and Machine Learning technologies and presents a conceptual model that aims to combine both, so that the tourism sector can better understand in advance the needs and visitors’ aspirations and can distribute information and services in an immersive and contextualized way, improving digital marketing strategies. Finally, some scenarios for using the conceptual model are presented and ongoing work is outlined.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCunha, C.R., Gomes, J.P., Mendonça, V. (2024). Using extended reality and machine learning in digital marketing focusing tourism. In Marketing and Smart Technologies. ICMarkTech 2023. Springer: Singapore. vol 386, p. 421–431 ISBN 978-981-97-1551-0pt_PT
dc.identifier.doi10.1007/978-981-97-1552-7_28pt_PT
dc.identifier.isbn978-981-97-1551-0
dc.identifier.issn2190-3018
dc.identifier.urihttp://hdl.handle.net/10198/30019
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationApplied Management Research Unit
dc.relationApplied Management Research Unit
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectExtended realitypt_PT
dc.subjectMachine learningpt_PT
dc.subjectDigital marketingpt_PT
dc.subjectTourismpt_PT
dc.titleUsing extended reality and machine learning in digital marketing focusing tourismpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleApplied Management Research Unit
oaire.awardTitleApplied Management Research Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04752%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04752%2F2020/PT
oaire.citation.conferencePlacePraguept_PT
oaire.citation.endPage431pt_PT
oaire.citation.startPage421pt_PT
oaire.citation.titleMarketing and Smart Technologiespt_PT
oaire.citation.volume386pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCunha
person.familyNameGomes
person.familyNameMendonça
person.givenNameCarlos R.
person.givenNameJoão Pedro
person.givenNameVítor
person.identifierR-001-NSC
person.identifier.ciencia-id2316-5664-FF6F
person.identifier.ciencia-id4A1D-E1E3-3F27
person.identifier.ciencia-id591A-BFEF-2CD2
person.identifier.orcid0000-0003-3085-1562
person.identifier.orcid0000-0001-9308-0027
person.identifier.orcid0000-0001-7020-8235
person.identifier.ridH-2678-2014
person.identifier.scopus-author-id57202512811
person.identifier.scopus-author-id36550587200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication14626e32-5646-48ad-9242-30944450dd8e
relation.isAuthorOfPublication8740f6a8-8951-46cd-9719-74edc43b1c74
relation.isAuthorOfPublication42771c5a-f333-426b-88ee-dc11f4abac66
relation.isAuthorOfPublication.latestForDiscovery14626e32-5646-48ad-9242-30944450dd8e
relation.isProjectOfPublicationdb81737a-fcb8-4cd9-b025-f7465790c52b
relation.isProjectOfPublicationfddb1487-0635-4996-8ea1-acac8476ca6b
relation.isProjectOfPublication.latestForDiscoverydb81737a-fcb8-4cd9-b025-f7465790c52b

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Recent Advancements in Tourism Business, Technology and Social Sciences.pdf
Size:
158.28 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

EsACT - Publicações em Proceedings Indexadas à WoS/Scopus