Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective

The ongoing COVID-19 pandemic and safe social distancing measures have engendered a surge of interests in contactless technology applications. While social distancing might become a long-term practice and consumers are adapting to the new lifestyle, behavioural research is needed to promote consumer...

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Main Authors: Li, Xue, Yuen, Kum Fai, Wang, Xueqin, Wong, Yiik Diew
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/162335
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1623352022-10-14T07:02:33Z Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective Li, Xue Yuen, Kum Fai Wang, Xueqin Wong, Yiik Diew School of Civil and Environmental Engineering Engineering::Civil engineering COVID-19 Health Belief Model The ongoing COVID-19 pandemic and safe social distancing measures have engendered a surge of interests in contactless technology applications. While social distancing might become a long-term practice and consumers are adapting to the new lifestyle, behavioural research is needed to promote consumers’ adoption of contactless technologies. The objective of this study is to investigate the psychological determinants of emerging contactless technologies by synthesising theoretical insights from two behavioural precepts: (i) health belief model comprising constructs such as perceived severity, perceived susceptibility, cues to action, self-efficacy, and (ii) technology acceptance model consisting of constructs such as perceived usefulness and perceived ease of use. A questionnaire survey is conducted to collect data from 508 consumers. The data are analysed using confirmatory factor analysis and structural equation modelling. The results show that health belief factors and technological characteristics contribute to the willingness to adopt contactless technologies. This research enriches behavioural research by providing a coherent and fitting explanation on consumers’ acceptance of contactless technologies. Practically, strategy implications regarding innovation-supportive environment creation, resources and training provision and end-customer demand satisfaction are provided to support contactless technology adoption. 2022-10-14T07:02:33Z 2022-10-14T07:02:33Z 2021 Journal Article Li, X., Yuen, K. F., Wang, X. & Wong, Y. D. (2021). Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective. Technology Analysis and Strategic Management, 1-14. https://dx.doi.org/10.1080/09537325.2021.1988919 0953-7325 https://hdl.handle.net/10356/162335 10.1080/09537325.2021.1988919 2-s2.0-85117223764 1 14 en Technology Analysis and Strategic Management © 2021 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
COVID-19
Health Belief Model
spellingShingle Engineering::Civil engineering
COVID-19
Health Belief Model
Li, Xue
Yuen, Kum Fai
Wang, Xueqin
Wong, Yiik Diew
Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective
description The ongoing COVID-19 pandemic and safe social distancing measures have engendered a surge of interests in contactless technology applications. While social distancing might become a long-term practice and consumers are adapting to the new lifestyle, behavioural research is needed to promote consumers’ adoption of contactless technologies. The objective of this study is to investigate the psychological determinants of emerging contactless technologies by synthesising theoretical insights from two behavioural precepts: (i) health belief model comprising constructs such as perceived severity, perceived susceptibility, cues to action, self-efficacy, and (ii) technology acceptance model consisting of constructs such as perceived usefulness and perceived ease of use. A questionnaire survey is conducted to collect data from 508 consumers. The data are analysed using confirmatory factor analysis and structural equation modelling. The results show that health belief factors and technological characteristics contribute to the willingness to adopt contactless technologies. This research enriches behavioural research by providing a coherent and fitting explanation on consumers’ acceptance of contactless technologies. Practically, strategy implications regarding innovation-supportive environment creation, resources and training provision and end-customer demand satisfaction are provided to support contactless technology adoption.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Li, Xue
Yuen, Kum Fai
Wang, Xueqin
Wong, Yiik Diew
format Article
author Li, Xue
Yuen, Kum Fai
Wang, Xueqin
Wong, Yiik Diew
author_sort Li, Xue
title Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective
title_short Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective
title_full Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective
title_fullStr Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective
title_full_unstemmed Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective
title_sort contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective
publishDate 2022
url https://hdl.handle.net/10356/162335
_version_ 1749179132736962560