Learning From the Past to Improve the Future : Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps

Details

Serval ID
serval:BIB_2D7C646ED110
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Learning From the Past to Improve the Future : Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps
Journal
Business and Information Systems Engineering
Author(s)
Naous Dana, Bonner Manus, Humbert Mathias, Legner Christine
ISSN
1867-0202 (electronic)
2363-7005 (print)
Publication state
Published
Issued date
14/02/2022
Peer-reviewed
Oui
Language
english
Abstract
Contact 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.
Keywords
Contact tracing, Mobile app design, Conjoint analysis, Privacy design, COVID-19
Open Access
Yes
Funding(s)
Swiss National Science Foundation / CRSII5_180350
Create date
14/02/2022 20:36
Last modification date
15/02/2022 7:34
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