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Is smart scary? A mixed-methods study on privacy in smart tourism

Bibliographic Data

ID21698347
AuthorsFrancisco Femenia-Serra (0000-0003-3829-6196, Department of Tourism (Faculty of Social Sciences), Antonio de Nebrija University, Madrid, Spain, corresponding author), Athina Ioannou (0000-0001-7038-938X, Surrey Business School, University of Surrey, Guildford, UK), Iis Tussyadiah (0000-0003-0729-1712, University of Surrey)
Year2022
Volume25
Issue14
Pages2212-2238
Publication date2022-07-18
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2021.1987399
OpenAlexW3205285632
LanguageEN
Citations received20
References cited72

This paper investigates privacy concerns in smart tourism, in which personal data fuels systems and services developed to enhance tourists’ experiences. A mixed-methods approach, involving semi-structured interviews (N = 34) and a survey among travellers from the UK and Spain (N = 1,019), was adopted. Findings from the qualitative study suggest that privacy concerns in smart tourism are built on preceding factors, including risk associated with use of different types of technology, past experiences with data misuse, and unawareness of data management practices. To cope with these, tourists adopt different strategies to protect their data. Results from the quantitative study reveal that privacy concerns influence actual behaviours and limit data disclosure. Different agents managing tourists’ personal data generate varying levels of privacy concerns. These findings have critical implications for tourism organizations and policy makers, posing the need to rethink the ramifications of smart tourism development for tourists and to devise appropriate strategies to address them

Advertising · Business · Computer security · Consumer privacy · Geography · Information privacy · Internet of Things · Internet privacy · Tourism · Computer Science · Digital Marketing and Social Media · Privacy, Security, and Data Protection · Technology Adoption and User Behaviour

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Unique citing works20
Citations per year6.67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 19

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae