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How smart are tourist attractions? the case of the city of Lisbon

dc.contributor.authorGustavo, Nuno
dc.contributor.authorMachado, Ana Teresa
dc.contributor.authorFerreira do Rosário, João
dc.contributor.authorCalisto, Maria de Lurdes
dc.contributor.authorBatista, Manuel José Marques
dc.date.accessioned2020-07-07T15:04:06Z
dc.date.available2020-07-07T15:04:06Z
dc.date.issued2019-11-06
dc.description.abstractIn the era of technological "acceleration", marked by an increasingly global and heterogeneous tourist demand, namely its relationship with technology and the adoption of smartphone technology, there is a growing implementation of new functionalities and intelligent functionalities during the consumption of a tourist experience (Huang, Goo, Nam & Yoo, 2017; Xiang, 2018). In fact, we are facing a scenario of changes in which the "new tourist", experienced and autonomous, seeks new genuine and authentic concepts of product, customizable, online, timely and with new levels of interaction and information (Kandampully, Bilgihan, Zhang, 2016). On the other hand, the supply side, looking not only develop technology-based solutions that provide this value, in particular by sharing strategies and co-creation, but also understand, analyze and anticipate the consumer and their needs (big data and analytics) (Buhalis, & Lunge, 2018). In this new context of intelligent tourism ecosystem, this study focus on tourist attractions. Compared to conventional ones, smart attractions include co-ordination processes, well-connected services with in-depth information content, diversified and customized products, best value for money, social and technological engagement, efficient communication and management, as well as various smart tourism services (Boztas, & Hadwick, 2019). The main goal of this research is to realize the extent to which tourist attractions have adopted intelligent technologies and how they are perceived on the supply side, by the respective managers and the demand side, by tourists. Methodologically, the study is restricted to the city of Lisbon based on a set of tourist attractions of various categories which will be subsequently evaluated on key factors duly identified in the literature. At the end, it is expected to evaluate the "smart" performance of the tourist attractions of the city of Lisbon from the point of view of managers and tourists and to diagnose the respective strengths / weaknesses.pt_PT
dc.description.sponsorshipInvestigação financiada pelo IPL - Politécnico de Lisboa como um Projeto de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) – IPL/2019/SMARTURIS_ESCSpt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationGustavo, N., Machado, A., Rosário, J., Calisto, M., & Batista, M. (2019, novembro). How smart are tourist attractions? The case of the city of Lisbon. Ongoing Research. Paper presented at ITC19: XI International Tourism Congress: “The Image and Sustainability of Tourism Destinations”. Funchal, Portugal.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/12019
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherITC19-XI International Tourism Congresspt_PT
dc.relation.publisherversionhttps://itc.citur-tourismresearch.com/previous-editions/itc19/abstract-book/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectIntelligent technologypt_PT
dc.subjectSmart performancept_PT
dc.subjectSmart touristpt_PT
dc.subjectSmart tourist attractionspt_PT
dc.subjectIPL/2019/SMARTURIS_ESCSpt_PT
dc.titleHow smart are tourist attractions? the case of the city of Lisbonpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFunchal, Portugalpt_PT
oaire.citation.titleITC19: XI International Tourism Congress: “The Image and Sustainability of Tourism Destinations”pt_PT
person.familyNameFerreira do Rosário
person.givenNameJoão Carlos Vinagre
person.identifier.ciencia-idAA19-63F3-0F90
person.identifier.orcid0000-0003-2524-8523
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication469c67de-a888-4b79-b65e-47b868835e28
relation.isAuthorOfPublication.latestForDiscovery469c67de-a888-4b79-b65e-47b868835e28

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