Cargando…
Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps
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 a...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Fachmedien Wiesbaden
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853227/ http://dx.doi.org/10.1007/s12599-022-00742-2 |
_version_ | 1784653188869128192 |
---|---|
author | Naous, Dana Bonner, Manus Humbert, Mathias Legner, Christine |
author_facet | Naous, Dana Bonner, Manus Humbert, Mathias Legner, Christine |
author_sort | Naous, Dana |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8853227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Fachmedien Wiesbaden |
record_format | MEDLINE/PubMed |
spelling | pubmed-88532272022-02-18 Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps Naous, Dana Bonner, Manus Humbert, Mathias Legner, Christine Bus Inf Syst Eng Research Paper 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. Springer Fachmedien Wiesbaden 2022-02-14 2022 /pmc/articles/PMC8853227/ http://dx.doi.org/10.1007/s12599-022-00742-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Paper Naous, Dana Bonner, Manus Humbert, Mathias Legner, Christine Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps |
title | Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps |
title_full | Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps |
title_fullStr | Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps |
title_full_unstemmed | Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps |
title_short | Learning From the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps |
title_sort | learning from the past to improve the future: value-added services as a driver for mass adoption of contact tracing apps |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853227/ http://dx.doi.org/10.1007/s12599-022-00742-2 |
work_keys_str_mv | AT naousdana learningfromthepasttoimprovethefuturevalueaddedservicesasadriverformassadoptionofcontacttracingapps AT bonnermanus learningfromthepasttoimprovethefuturevalueaddedservicesasadriverformassadoptionofcontacttracingapps AT humbertmathias learningfromthepasttoimprovethefuturevalueaddedservicesasadriverformassadoptionofcontacttracingapps AT legnerchristine learningfromthepasttoimprovethefuturevalueaddedservicesasadriverformassadoptionofcontacttracingapps |