Journal article 980 views 1388 downloads
Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
Shavneet Sharma,
Gurmeet Singh,
Rashmini Sharma,
Paul Jones 
,
Sascha Kraus,
Yogesh Dwivedi
,
Sascha Kraus,
Yogesh Dwivedi
IEEE Transactions on Engineering Management, Pages: 1 - 17
Swansea University Authors:
Paul Jones , Yogesh Dwivedi
-
PDF | Accepted Manuscript
Download (902.48KB)
DOI (Published version): 10.1109/tem.2020.3019033
Abstract
With the outbreak of COVID-19, contact tracing is becoming a used intervention to control the spread of this highly infectious disease. This article explores an individual's intention to adopt COVID-19 digital contact tracing (DCT) apps. A conceptual framework developed for this article combine...
| Published in: | IEEE Transactions on Engineering Management |
|---|---|
| ISSN: | 0018-9391 1558-0040 |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2020
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa55351 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
With the outbreak of COVID-19, contact tracing is becoming a used intervention to control the spread of this highly infectious disease. This article explores an individual's intention to adopt COVID-19 digital contact tracing (DCT) apps. A conceptual framework developed for this article combines the procedural fairness theory, dual calculus theory, protection motivation theory, theory of planned behavior, and Hofstede's cultural dimension theory. The study adopts a quantitative approach collecting data from 714 respondents using a random sampling technique. The proposed model is tested using structural equation modeling. Empirical results found that the perceived effectiveness of privacy policy negatively influenced privacy concerns, whereas perceived vulnerability had a positive influence. Expected personal and community-related outcomes of sharing information positively influenced attitudes toward DCT apps, while privacy concerns had a negative effect. The intention to adopt DCT apps were positively influenced by attitude, subjective norms, and privacy self-efficacy. This article is the first to empirically test the adoption of DCT apps of the COVID-19 pandemic and contributes both theoretically and practically toward understanding factors influencing its widespread adoption. |
|---|---|
| Keywords: |
Privacy; Discrete cosine transforms; Calculus; Cultural differences; Government; Data privacy |
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
1 |
| End Page: |
17 |