Antecedent, behaviour, and consequence (a-b-c) of deploying the contact tracing app in response to COVID-19: Evidence from Europe

Dzandu, M.D. 2023. Antecedent, behaviour, and consequence (a-b-c) of deploying the contact tracing app in response to COVID-19: Evidence from Europe. Technological Forecasting and Social Change. 187 122217. https://doi.org/10.1016/j.techfore.2022.122217

TitleAntecedent, behaviour, and consequence (a-b-c) of deploying the contact tracing app in response to COVID-19: Evidence from Europe
TypeJournal article
AuthorsDzandu, M.D.
Abstract

In response to the current coronavirus (COVID-19) pandemic, countries have or intend to deploy contact tracing apps as a way of containing and or reducing the community spread of the virus. Whilst a few studies have so far been conducted on the acceptability of the app, little is known about the antecedent, behaviour, and consequence (a-b-c) of deploying the app and its success thereof. This study, therefore, proposes and validates an integrated a-b-c and technology acceptance model of deploying the contract tracing app in four European countries. The study adopts a quantitative approach and uses publicly available cross-country survey data from the Center for Open Science. An extract of 2512 data is analysed using SEM-PLS. The results confirmed the integrated a-b-c and technology acceptance model that underpins the study and revealed that the chance of achieving a positive outcome with citizens complying with recommendations of the app was only 17.1 % or R2 = 0.171 (±0.020) whilst the chance of negative consequent or deviant response of uninstallation of the app by the citizens was 54.3 % or R2 = 0.543 (±0.021). The results have huge implications for governments and public health institutions in their attempt to deploy the contract tracing app.

KeywordsCoronavirus
Pandemic
Information systems
COVID-19
contact tracing app
a-b-c model
Technology acceptance model
Article number122217
JournalTechnological Forecasting and Social Change
Journal citation187
ISSN0040-1625
Year2023
PublisherElsevier
Publisher's version
License
CC BY-NC-ND 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1016/j.techfore.2022.122217
PubMed ID36439939
Web address (URL)https://www.sciencedirect.com/science/article/pii/S0040162522007387?via%3Dihub
Publication dates
Published22 Nov 2022
Published in printFeb 2023
Supplemental file
File Access Level
Open (open metadata and files)

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