Predicting the adoption of mobile payment applications during the COVID-19 pandemic
PurposeThis study aims to analyse the adoption of mobile payment applications during the coronavirus disease 2019 (COVID-19) pandemic using the technology acceptance model (TAM) and Technology Readiness Index (TRI).Design/methodology/approachThe data were collected from 400 mobile payment applicatio...
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| Veröffentlicht in: | International journal of bank marketing 2021-08, Vol.39 (6), p.984-1002 |
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| container_title | International journal of bank marketing |
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| creator | Rafdinal, Wahyu Senalasari, Widi |
| description | PurposeThis study aims to analyse the adoption of mobile payment applications during the coronavirus disease 2019 (COVID-19) pandemic using the technology acceptance model (TAM) and Technology Readiness Index (TRI).Design/methodology/approachThe data were collected from 400 mobile payment application users in Indonesia. The structural equation model–partial least square (SEM-PLS) analysis was conducted to analyse the relationship between variables and test a series of hypotheses.FindingsTRI constructs affect perceived usefulness and perceived ease of use, with the exception of discomfort which has no significant effect on the perceived usefulness. In addition, attitude is influenced by two main TAM variables: perceived usefulness and perceived ease of use. Meanwhile, the intention to use mobile payment applications is influenced by attitude.Research limitations/implicationsThis study will assist mobile payment application service providers and policymakers in planning services and increasing the adoption of mobile payment applications during the COVID-19 pandemic. This study will also add the existing knowledge about the mobile payment applications literature in the context of a pandemic.Originality/valueThis study is the first to empirically employ the TAM and TRI in analysing the adoption of mobile payment applications during the COVID-19 pandemic. |
| doi_str_mv | 10.1108/IJBM-10-2020-0532 |
| format | Article |
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The structural equation model–partial least square (SEM-PLS) analysis was conducted to analyse the relationship between variables and test a series of hypotheses.FindingsTRI constructs affect perceived usefulness and perceived ease of use, with the exception of discomfort which has no significant effect on the perceived usefulness. In addition, attitude is influenced by two main TAM variables: perceived usefulness and perceived ease of use. Meanwhile, the intention to use mobile payment applications is influenced by attitude.Research limitations/implicationsThis study will assist mobile payment application service providers and policymakers in planning services and increasing the adoption of mobile payment applications during the COVID-19 pandemic. 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The structural equation model–partial least square (SEM-PLS) analysis was conducted to analyse the relationship between variables and test a series of hypotheses.FindingsTRI constructs affect perceived usefulness and perceived ease of use, with the exception of discomfort which has no significant effect on the perceived usefulness. In addition, attitude is influenced by two main TAM variables: perceived usefulness and perceived ease of use. Meanwhile, the intention to use mobile payment applications is influenced by attitude.Research limitations/implicationsThis study will assist mobile payment application service providers and policymakers in planning services and increasing the adoption of mobile payment applications during the COVID-19 pandemic. 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Senalasari, Widi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-77ee4c3ddd0142ea03cad398d09a1ce2f47b170ce107438fdff7c96e719ae2a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bank marketing</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease transmission</topic><topic>Literature reviews</topic><topic>Marketing</topic><topic>Mobile commerce</topic><topic>Pandemics</topic><topic>Payment systems</topic><topic>Radio frequency</topic><topic>Technology Acceptance Model</topic><topic>Technology adoption</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rafdinal, Wahyu</creatorcontrib><creatorcontrib>Senalasari, Widi</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ABI/INFORM Collection (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Accounting, Tax & Banking Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Banking Information Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of bank marketing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rafdinal, Wahyu</au><au>Senalasari, Widi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the adoption of mobile payment applications during the COVID-19 pandemic</atitle><jtitle>International journal of bank marketing</jtitle><date>2021-08-18</date><risdate>2021</risdate><volume>39</volume><issue>6</issue><spage>984</spage><epage>1002</epage><pages>984-1002</pages><issn>0265-2323</issn><eissn>1758-5937</eissn><abstract>PurposeThis study aims to analyse the adoption of mobile payment applications during the coronavirus disease 2019 (COVID-19) pandemic using the technology acceptance model (TAM) and Technology Readiness Index (TRI).Design/methodology/approachThe data were collected from 400 mobile payment application users in Indonesia. The structural equation model–partial least square (SEM-PLS) analysis was conducted to analyse the relationship between variables and test a series of hypotheses.FindingsTRI constructs affect perceived usefulness and perceived ease of use, with the exception of discomfort which has no significant effect on the perceived usefulness. In addition, attitude is influenced by two main TAM variables: perceived usefulness and perceived ease of use. Meanwhile, the intention to use mobile payment applications is influenced by attitude.Research limitations/implicationsThis study will assist mobile payment application service providers and policymakers in planning services and increasing the adoption of mobile payment applications during the COVID-19 pandemic. 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| ispartof | International journal of bank marketing, 2021-08, Vol.39 (6), p.984-1002 |
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| language | eng |
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| source | Emerald A-Z Current Journals |
| subjects | Bank marketing Coronaviruses COVID-19 Disease transmission Literature reviews Marketing Mobile commerce Pandemics Payment systems Radio frequency Technology Acceptance Model Technology adoption |
| title | Predicting the adoption of mobile payment applications during the COVID-19 pandemic |
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