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Learning From the Past to Improve the Future

dc.contributor.authorNaous, Dana
dc.contributor.authorBonner, Manus
dc.contributor.authorHumbert, Mathias
dc.contributor.authorLegner, Christine
dc.date.accessioned2022-11-24T08:12:45Z
dc.date.available2022-11-24T08:12:45Z
dc.date.issued2022
dc.description.abstractContact tracing apps were considered among the first tools to control the spread of COVID-19 and ease lockdown measures. While these apps can be very effective at stopping transmission and saving lives, the level of adoption remains significantly below the expected critical mass. The public debate as well as academic research about contact tracing apps emphasizes general concerns about privacy (and the associated risks) but often disregards the value-added services, as well as benefits, that can result from a larger user base. To address this gap, the study analyzes goal-congruent features as drivers for user adoption. It uses market research techniques – specifically, conjoint analysis – to study individual and group preferences and gain insights into the prescriptive design. While the results confirm the privacy-preserving design of most European contact tracing apps, they emphasize the role of value-added services in addressing heterogeneous user segments to drive user adoption. The findings thereby are of relevance for designing effective contact tracing apps, but also inform the user-oriented design of apps for health and crisis management that rely on sharing sensitive information.de
dc.identifier.doi10.1007/s12599-022-00742-2
dc.identifier.pissn1867-0202
dc.identifier.urihttp://dx.doi.org/10.1007/s12599-022-00742-2
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39778
dc.publisherSpringer
dc.relation.ispartofBusiness & Information Systems Engineering: Vol. 64, No. 5
dc.relation.ispartofseriesBusiness & Information Systems Engineering
dc.subjectConjoint analysis
dc.subjectContact tracing
dc.subjectCOVID-19
dc.subjectMobile app design
dc.subjectPrivacy design
dc.titleLearning From the Past to Improve the Futurede
dc.typeText/Journal Article
gi.citation.endPage614
gi.citation.startPage597

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