Why have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations

The highly infectious nature of the COVID-19 virus has made the use of contactless payment methods a health exigency. Yet, consumers are resisting using mobile payments (m-payments) during the pandemic, a confounding behavior that needs to be better understood. The present study explicates this beh...

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Autores principales: Shalini Talwar, Manish Talwar, Puneet Kaur, Gurmeet Singh, Amandeep Dhir
Formato: article
Lenguaje:EN
Publicado: Australasian Association for Information Systems 2021
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Acceso en línea:https://doaj.org/article/15b1775fc3944d1e9fec102ec98292cd
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spelling oai:doaj.org-article:15b1775fc3944d1e9fec102ec98292cd2021-11-19T04:25:31ZWhy have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations10.3127/ajis.v25i0.32011449-8618https://doaj.org/article/15b1775fc3944d1e9fec102ec98292cd2021-11-01T00:00:00Zhttps://journal.acs.org.au/index.php/ajis/article/view/3201https://doaj.org/toc/1449-8618 The highly infectious nature of the COVID-19 virus has made the use of contactless payment methods a health exigency. Yet, consumers are resisting using mobile payments (m-payments) during the pandemic, a confounding behavior that needs to be better understood. The present study explicates this behavior by examining consumer resistance to m-payments during the COVID-19 pandemic. In addition, it provides more granular findings by measuring three levels of resistance/non-adoption, namely, postponement, opposition, and rejection. In this way, the study adds depth to the literature, which has largely examined resistance at an aggregate level to yield generic findings. Toward this end, the study draws upon the Innovation Resistance Theory (IRT) to propose that usage, value, risk, tradition, and image barriers influence the three levels of resistance/non-adoption differently. An artificial neural network analysis (ANN) of the data collected from 406 non-users of m-payments confirmed that the influence of the five barriers varies for the three levels of resistance/non-adoption. The results further suggest that the usage barrier is the most significant contributor to opposition and rejection intentions toward m-payments, whereas the image barrier is the most influential for postponement intentions. This study thus makes a useful contribution to theory and practice. Shalini TalwarManish TalwarPuneet KaurGurmeet SinghAmandeep Dhir Australasian Association for Information SystemsarticleConsumer resistancefunctional and psychological barriersinnovation resistance theorynon-adoptionmobile walletsInformation technologyT58.5-58.64Electronic computers. Computer scienceQA75.5-76.95ENAustralasian Journal of Information Systems, Vol 25 (2021)
institution DOAJ
collection DOAJ
language EN
topic Consumer resistance
functional and psychological barriers
innovation resistance theory
non-adoption
mobile wallets
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
spellingShingle Consumer resistance
functional and psychological barriers
innovation resistance theory
non-adoption
mobile wallets
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
Shalini Talwar
Manish Talwar
Puneet Kaur
Gurmeet Singh
Amandeep Dhir
Why have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations
description The highly infectious nature of the COVID-19 virus has made the use of contactless payment methods a health exigency. Yet, consumers are resisting using mobile payments (m-payments) during the pandemic, a confounding behavior that needs to be better understood. The present study explicates this behavior by examining consumer resistance to m-payments during the COVID-19 pandemic. In addition, it provides more granular findings by measuring three levels of resistance/non-adoption, namely, postponement, opposition, and rejection. In this way, the study adds depth to the literature, which has largely examined resistance at an aggregate level to yield generic findings. Toward this end, the study draws upon the Innovation Resistance Theory (IRT) to propose that usage, value, risk, tradition, and image barriers influence the three levels of resistance/non-adoption differently. An artificial neural network analysis (ANN) of the data collected from 406 non-users of m-payments confirmed that the influence of the five barriers varies for the three levels of resistance/non-adoption. The results further suggest that the usage barrier is the most significant contributor to opposition and rejection intentions toward m-payments, whereas the image barrier is the most influential for postponement intentions. This study thus makes a useful contribution to theory and practice.
format article
author Shalini Talwar
Manish Talwar
Puneet Kaur
Gurmeet Singh
Amandeep Dhir
author_facet Shalini Talwar
Manish Talwar
Puneet Kaur
Gurmeet Singh
Amandeep Dhir
author_sort Shalini Talwar
title Why have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations
title_short Why have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations
title_full Why have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations
title_fullStr Why have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations
title_full_unstemmed Why have consumers opposed, postponed, and rejected Innovations during a pandemic? A Study of mobile payment Innovations
title_sort why have consumers opposed, postponed, and rejected innovations during a pandemic? a study of mobile payment innovations
publisher Australasian Association for Information Systems
publishDate 2021
url https://doaj.org/article/15b1775fc3944d1e9fec102ec98292cd
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