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

19 Pages Posted: 30 Apr 2020

See all articles by Caroline Wiertz

Caroline Wiertz

City, University of London - Bayes Business School

Aneesh Banerjee

City University London - The Business School

Oguz A. Acar

City University London - The Business School

Adi Ghosh

City University London - Bayes Business School

Date Written: April 28, 2020

Abstract

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

Wiertz, Caroline and Banerjee, Aneesh and Acar, Oguz A. and Ghosh, Adi, 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

Caroline Wiertz (Contact Author)

City, University of London - Bayes Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

Aneesh Banerjee

City University London - The Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

Oguz A. Acar

City University London - The Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

Adi Ghosh

City University London - Bayes Business School ( email )

106
Bunhill Row
London, London EC1Y 8TZ
United Kingdom

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