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Determinants of contact tracing apps: an adoption study using UTAUT model

In the aftermath of the coronavirus (COVID-19) outbreak that impacted human lives globally, a contact tracing app was introduced to control and ease tracking processes via smartphone-based to track positive cases and potential contacts. Major concerns about trust, personal information leakage, and d...

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Main Authors: E, Pei Ven, Nor Hazlina Hashim,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/23188/7/komunikasi_31.pdf
http://journalarticle.ukm.my/23188/
https://ejournal.ukm.my/mjc/issue/view/1610
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spelling my-ukm.journal.231882024-03-11T08:20:51Z http://journalarticle.ukm.my/23188/ Determinants of contact tracing apps: an adoption study using UTAUT model E, Pei Ven Nor Hazlina Hashim, In the aftermath of the coronavirus (COVID-19) outbreak that impacted human lives globally, a contact tracing app was introduced to control and ease tracking processes via smartphone-based to track positive cases and potential contacts. Major concerns about trust, personal information leakage, and data privacy stored in the system would reserve citizens' willingness to adopt and use the technology. This study focuses on the adoption of contact tracing mobile apps in looking at the key determinants influencing user’s acceptance. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) model was used in this study. A cross-sectional online survey was conducted between September and October2021 and Partially Least Squares (SmartPLS) was used to evaluate about 400 users in Malaysia. The findings revealed that 50.9 % in behavioural intention to adopt a contact tracing app. The highest acceptance rate was among users aged 26 to 35. Effort expectancy was the most important predictor, followed by performance expectancy, perceived risk (of COVID-19), social influence and perceived credibility. Sustainable usage among the users were also being discussed to avoid abundant or inexhaustible use of mobile apps especially relates to health concerns and to prepare for potential new pandemics, such as "Disease X", which were characterised by more infectious and dangerous diseases outbreaks. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/23188/7/komunikasi_31.pdf E, Pei Ven and Nor Hazlina Hashim, (2023) Determinants of contact tracing apps: an adoption study using UTAUT model. Jurnal Komunikasi ; Malaysian Journal of Communication, 39 (4). pp. 581-596. ISSN 0128-1496 https://ejournal.ukm.my/mjc/issue/view/1610
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description In the aftermath of the coronavirus (COVID-19) outbreak that impacted human lives globally, a contact tracing app was introduced to control and ease tracking processes via smartphone-based to track positive cases and potential contacts. Major concerns about trust, personal information leakage, and data privacy stored in the system would reserve citizens' willingness to adopt and use the technology. This study focuses on the adoption of contact tracing mobile apps in looking at the key determinants influencing user’s acceptance. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) model was used in this study. A cross-sectional online survey was conducted between September and October2021 and Partially Least Squares (SmartPLS) was used to evaluate about 400 users in Malaysia. The findings revealed that 50.9 % in behavioural intention to adopt a contact tracing app. The highest acceptance rate was among users aged 26 to 35. Effort expectancy was the most important predictor, followed by performance expectancy, perceived risk (of COVID-19), social influence and perceived credibility. Sustainable usage among the users were also being discussed to avoid abundant or inexhaustible use of mobile apps especially relates to health concerns and to prepare for potential new pandemics, such as "Disease X", which were characterised by more infectious and dangerous diseases outbreaks.
format Article
author E, Pei Ven
Nor Hazlina Hashim,
spellingShingle E, Pei Ven
Nor Hazlina Hashim,
Determinants of contact tracing apps: an adoption study using UTAUT model
author_facet E, Pei Ven
Nor Hazlina Hashim,
author_sort E, Pei Ven
title Determinants of contact tracing apps: an adoption study using UTAUT model
title_short Determinants of contact tracing apps: an adoption study using UTAUT model
title_full Determinants of contact tracing apps: an adoption study using UTAUT model
title_fullStr Determinants of contact tracing apps: an adoption study using UTAUT model
title_full_unstemmed Determinants of contact tracing apps: an adoption study using UTAUT model
title_sort determinants of contact tracing apps: an adoption study using utaut model
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2023
url http://journalarticle.ukm.my/23188/7/komunikasi_31.pdf
http://journalarticle.ukm.my/23188/
https://ejournal.ukm.my/mjc/issue/view/1610
_version_ 1794552821832482816
score 13.211869

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