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Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps

Shavneet Sharma, Gurmeet Singh, Rashmini Sharma, Paul Jones Orcid Logo, Sascha Kraus, Yogesh Dwivedi

IEEE Transactions on Engineering Management, Volume: 71, Pages: 12272 - 12288

Swansea University Authors: Paul Jones Orcid Logo, Yogesh Dwivedi

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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...

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Published in: IEEE Transactions on Engineering Management
ISSN: 0018-9391 1558-0040
Published: Institute of Electrical and Electronics Engineers (IEEE) 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa55351
first_indexed 2020-10-06T13:45:34Z
last_indexed 2025-01-09T19:56:17Z
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spelling 2025-01-09T07:25:50.9507503 v2 55351 2020-10-06 Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false d154596e71b99ad1285563c8fdd373d7 Yogesh Dwivedi Yogesh Dwivedi true false 2020-10-06 CBAE 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. Journal Article IEEE Transactions on Engineering Management 71 12272 12288 Institute of Electrical and Electronics Engineers (IEEE) 0018-9391 1558-0040 Privacy; Discrete cosine transforms; Calculus; Cultural differences; Government; Data privacy 15 9 2020 2020-09-15 10.1109/tem.2020.3019033 https://ieeexplore.ieee.org/document/9198147 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University 2025-01-09T07:25:50.9507503 2020-10-06T14:39:18.6357705 Faculty of Humanities and Social Sciences School of Management - Business Management Shavneet Sharma 1 Gurmeet Singh 2 Rashmini Sharma 3 Paul Jones 0000-0003-0417-9143 4 Sascha Kraus 5 Yogesh Dwivedi 6 55351__18341__5cf48f4ba5bc46ba88695d09bf8326dd.pdf IEEE_COVID final.pdf 2020-10-06T14:44:52.8774273 Output 924138 application/pdf Accepted Manuscript true true eng
title Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
spellingShingle Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
Paul Jones
Yogesh Dwivedi
title_short Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
title_full Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
title_fullStr Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
title_full_unstemmed Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
title_sort Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
author_id_str_mv 21e2660aaa102fe36fc981880dd9e082
d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv 21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Paul Jones
Yogesh Dwivedi
author2 Shavneet Sharma
Gurmeet Singh
Rashmini Sharma
Paul Jones
Sascha Kraus
Yogesh Dwivedi
format Journal article
container_title IEEE Transactions on Engineering Management
container_volume 71
container_start_page 12272
publishDate 2020
institution Swansea University
issn 0018-9391
1558-0040
doi_str_mv 10.1109/tem.2020.3019033
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url https://ieeexplore.ieee.org/document/9198147
document_store_str 1
active_str 0
description 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.
published_date 2020-09-15T07:53:56Z
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score 11.321802

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