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dc.contributor.authorHelmschrott, Susannede
dc.contributor.authorAnand, Kartikde
dc.contributor.authorZhou, Sophiede
dc.contributor.authorSchmidt, Tobiasde
dc.date.accessioned2023-11-20T14:58:52Z
dc.date.available2023-11-20T14:58:52Z
dc.date.issued2022de
dc.identifier.issn2523-8930de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/90673
dc.description.abstractContact-tracing smartphone apps that rely on users' private data have been proposed as important tools in fighting the COVID-19 pandemic. The use of these apps, however, has sparked new debates on the value of data privacy. Several earlier studies have investigated citizens' willingness to use such apps. We propose a set of questions as a new measurement instrument that goes beyond eliciting acceptance and aims at quantifying users' willingness to pay (WTP) for data privacy. We assess some aspects of the measurement instrument pertaining to its validity. We find central assumptions of our theoretical model met, suggesting that the instrument serves as a good starting point for measuring WTP. For example, we found a rather low WTP for data privacy in times of a pandemic, with high consent rates to data sharing and a majority of people who would pay amounts of up to 10€ only to not have to share data. Nevertheless, there are several improvements to the instrument possible that should be addressed by future research. We also encourage researchers to field the refined version in larger samples including the offline population.de
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherData privacy; Willingness to pay (WTP); Public healthde
dc.titleThe value of data privacy during the COVID-19 pandemic: a new set of survey questionsde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalMeasurement Instruments for the Social Sciences
dc.source.volume4de
dc.publisher.countryDEUde
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenschutzde
dc.subject.thesozdata protectionen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040547
internal.identifier.thesoz10040560
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-11de
internal.identifier.classoz10105
internal.identifier.journal1520
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1186/s42409-022-00037-yde
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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