Predicted Adoption Rates of Contact Tracing App Configurations - Insights from a Choice-Based Conjoint Study with a Representative Sample of the UK population

Widespread adoption of a contact tracing app by the UK public is an important part of safely easing or lifting the lockdown. In this context, it is essential to understand how adoption rates are influenced by different configurations of a proposed COVID-19 contact tracing app. There are many implementation options that can impact app adoption. For example, which institution should be responsible for and have oversight of the app? What type of data is collected? Does it matter how long it is stored? This whitepaper provides data-driven insights into these and other questions to guide app implementation choices.

Keywords: COVID-19, coronavirus, contact tracing, app adoption, privacy

JEL Classification: M38, I18

Suggested Citation: Suggested Citation

Wiertz, Caroline and Banerjee, Aneesh and Acar, Oguz A. and Ghosh, Pratapaditya, Predicted Adoption Rates of Contact Tracing App Configurations - Insights from a Choice-Based Conjoint Study with a Representative Sample of the UK population (April 28, 2020). Available at SSRN: https://ssrn.com/abstract=3589199 or http://dx.doi.org/10.2139/ssrn.3589199