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
| Title | Antecedent, behaviour, and consequence (a-b-c) of deploying the contact tracing app in response to COVID-19: Evidence from Europe |
|---|---|
| Type | Journal article |
| Authors | Dzandu, 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. |
| Keywords | Coronavirus |
| Pandemic | |
| Information systems | |
| COVID-19 | |
| contact tracing app | |
| a-b-c model | |
| Technology acceptance model | |
| Article number | 122217 |
| Journal | Technological Forecasting and Social Change |
| Journal citation | 187 |
| ISSN | 0040-1625 |
| Year | 2023 |
| Publisher | Elsevier |
| 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 ID | 36439939 |
| Web address (URL) | https://www.sciencedirect.com/science/article/pii/S0040162522007387?via%3Dihub |
| Publication dates | |
| Published | 22 Nov 2022 |
| Published in print | Feb 2023 |
| Supplemental file | File Access Level Open (open metadata and files) |