Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust

Mobile money is an attractive alternative that has boomed in recent times due to the advancement in mobile and telecommunication technology. Although there are copious benefits of such a great mobile technology, the adoption rate is far from expectations. This study examines the factors that predict...

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Main Authors: Emmanuel Kofi Penney, James Agyei, Eric Kofi Boadi, Eugene Abrokwah, Richmond Ofori-Boafo
Format: Article
Language:English
Published: SAGE Publishing 2021-06-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/21582440211023188
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spelling doaj-6b4a89f2068b41c0930ba97a6b16225d2021-07-01T23:03:21ZengSAGE PublishingSAGE Open2158-24402021-06-011110.1177/21582440211023188Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and TrustEmmanuel Kofi Penney0James Agyei1Eric Kofi Boadi2Eugene Abrokwah3Richmond Ofori-Boafo4University of Professional Studies, Accra, GhanaUniversity of Shanghai for Science & Technology, ChinaKoforidua Technical University, GhanaUniversity of Shanghai for Science & Technology, ChinaKwame Nkrumah University of Science and Technology, Kumasi, GhanaMobile money is an attractive alternative that has boomed in recent times due to the advancement in mobile and telecommunication technology. Although there are copious benefits of such a great mobile technology, the adoption rate is far from expectations. This study examines the factors that predict users’ behavioral intention (BI) to adopt and use mobile money. The study adopts the unified theory of acceptance and usage of technology as a reference and builds an extended model by taking into account “perceived risk” and “trust.” Data collected from 373 mobile money users in Ghana via a questionnaire survey were analyzed using the structural equation modeling approach. The findings reveal that performance expectancy, effort expectancy, social influence, habit, price value, perceived risk, and trust substantially affect users’ BI. However, facilitating conditions and hedonic motivation showed no pertinent effect on users’ BI. Implications for both theory and practice are also discussed.https://doi.org/10.1177/21582440211023188
collection DOAJ
language English
format Article
sources DOAJ
author Emmanuel Kofi Penney
James Agyei
Eric Kofi Boadi
Eugene Abrokwah
Richmond Ofori-Boafo
spellingShingle Emmanuel Kofi Penney
James Agyei
Eric Kofi Boadi
Eugene Abrokwah
Richmond Ofori-Boafo
Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust
SAGE Open
author_facet Emmanuel Kofi Penney
James Agyei
Eric Kofi Boadi
Eugene Abrokwah
Richmond Ofori-Boafo
author_sort Emmanuel Kofi Penney
title Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust
title_short Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust
title_full Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust
title_fullStr Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust
title_full_unstemmed Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust
title_sort understanding factors that influence consumer intention to use mobile money services: an application of utaut2 with perceived risk and trust
publisher SAGE Publishing
series SAGE Open
issn 2158-2440
publishDate 2021-06-01
description Mobile money is an attractive alternative that has boomed in recent times due to the advancement in mobile and telecommunication technology. Although there are copious benefits of such a great mobile technology, the adoption rate is far from expectations. This study examines the factors that predict users’ behavioral intention (BI) to adopt and use mobile money. The study adopts the unified theory of acceptance and usage of technology as a reference and builds an extended model by taking into account “perceived risk” and “trust.” Data collected from 373 mobile money users in Ghana via a questionnaire survey were analyzed using the structural equation modeling approach. The findings reveal that performance expectancy, effort expectancy, social influence, habit, price value, perceived risk, and trust substantially affect users’ BI. However, facilitating conditions and hedonic motivation showed no pertinent effect on users’ BI. Implications for both theory and practice are also discussed.
url https://doi.org/10.1177/21582440211023188
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