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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 Orcid Logo

IEEE Transactions on Engineering Management, Pages: 1 - 17

Swansea University Authors: Paul Jones Orcid Logo, Yogesh Dwivedi Orcid Logo

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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
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first_indexed 2020-10-06T13:45:34Z
last_indexed 2023-01-11T14:33:52Z
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spelling 2022-08-26T14:44:51.7261849 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 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2020-10-06 BBU 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 1 17 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 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2022-08-26T14:44:51.7261849 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 0000-0002-5547-9990 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_start_page 1
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
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 2020-09-15T04:09:30Z
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score 11.013619

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