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Using data analytics to understand visitors online search interests: the case of Douro Museum

2021Conference paper Restricted access
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dc.contributor.authorCarvalho, Aida
dc.contributor.authorSantos, Arlindo
dc.contributor.authorCunha, Carlos R.
dc.date.accessioned2020-12-14T11:33:36Z
dc.date.available2020-12-14T11:33:36Z
dc.date.issued2021
dc.description.abstractRegional museums are relatively recent museum structures that emerged in the late 19th century after universal exhibitions. They are museums specifically dedicated to the representation of a given population in a specific territorial context, highlighting the fundamental traits that characterize the nature and essence of that community, differentiating it from others. In northern Portugal, law no. 125/97, created the Douro Museum, a territory museum that represents the natural and cultural heritage of the demarcated Douro region, the first demarcated and regulated region of the world, in 1756, by Marques de Pombal, extending over an area of of 250,000 ha, between Barqueiros and Barca d’Alva along the Douro River and its tributaries. The museum has a “polynuclear structure distributed throughout the Douro region, based in Peso da Régua” (art. 2), serving as an element for mobilizing tourists, mainly through its main temporary exhibitions, videos, etc. In an information society, characterized by the empowerment of citizens with regard to their ability to independently obtain information and, in the process, to leave their footprint, it is crucial to understand and anticipate their interests. In this way, the supply and responsiveness of tourism agents and regional actors will be increased, making them better able to decide for an offer better suited to the real interests of visitors and even enable to influence them. This article aims to know the profile of tourists/consumers through their online behavior, trying to understand what kind of information they are looking for, which keywords are most used and searched using the fundamentals of Data Analytics and using the Google Trends tool. Moreover, this study enables to better understand the connection between online search interests and the reality of the Douro Museum visitants. This approach is nowadays a major contribute to bridge the gap between visitors needs/interests and tourism player’s strategies definition, making Data Analytics a fundamental tool to enable decision support systems.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCarvalho, Aida; Santos, Arlindo; Cunha, Carlos R. (2020). Using data analytics to understand visitors online search interests: the case of Douro Museum. In Smart Innovation, Systems and Technologies e The International Conference on Tourism, Technologies and Systems ICOTTS20. 2, p. 42–51. ISBN 978-981-33-4259-0pt_PT
dc.identifier.doi10.1007/978-981-33-4260-6_4pt_PT
dc.identifier.issn21903018
dc.identifier.urihttp://hdl.handle.net/10198/22947
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Science and Business Media Deutschland GmbHpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectData analyticspt_PT
dc.subjectDouro Museumpt_PT
dc.subjectGoogle trendspt_PT
dc.subjectTourismpt_PT
dc.subjectTouristspt_PT
dc.titleUsing data analytics to understand visitors online search interests: the case of Douro Museumpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceCartagena; Colombiapt_PT
oaire.citation.endPage51pt_PT
oaire.citation.startPage42pt_PT
oaire.citation.titleSmart Innovation, Systems and Technologies Volume 209pt_PT
oaire.citation.volume209pt_PT
person.familyNameCarvalho
person.familyNameSantos
person.familyNameCunha
person.givenNameAida
person.givenNameArlindo
person.givenNameCarlos R.
person.identifierR-001-NSC
person.identifier.ciencia-id7A1B-FC39-9BC4
person.identifier.ciencia-idC411-8E15-4CDB
person.identifier.ciencia-id2316-5664-FF6F
person.identifier.orcid0000-0001-8997-9195
person.identifier.orcid0000-0002-7531-9070
person.identifier.orcid0000-0003-3085-1562
person.identifier.ridH-2678-2014
person.identifier.scopus-author-id57202512811
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationdab76b99-e1bd-4940-a307-e1b9a69ddd1b
relation.isAuthorOfPublication1eed76cf-767f-499d-be99-d84cfb843405
relation.isAuthorOfPublication14626e32-5646-48ad-9242-30944450dd8e
relation.isAuthorOfPublication.latestForDiscovery14626e32-5646-48ad-9242-30944450dd8e

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