2022
DOI: 10.1057/s41264-022-00199-0
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An integrated framework for mobile payment in Pakistan: drivers, barriers, and facilitators of usage behavior

Abstract: The research aims to investigate the impact of theoretical drivers, facilitators, and barriers on the intention to adopt m-payment. It further examines the impact of the intention to adopt m-payment on usage behavior. Partial least squares structural equation modeling was used based on a suitable sample of 408 participants in Karachi, Pakistan. The findings contribute to a greater understanding of the factors that influence customer decision-making and, as a result, the adoption intention of mobile payment in … Show more

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Cited by 15 publications
(10 citation statements)
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References 71 publications
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“…The findings concur with similar influences that have been reported in past studies (Abdul-Halim et al. , 2021; Ali et al. , 2022; Vishwakarma et al.…”
Section: Discussionsupporting
confidence: 93%
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“…The findings concur with similar influences that have been reported in past studies (Abdul-Halim et al. , 2021; Ali et al. , 2022; Vishwakarma et al.…”
Section: Discussionsupporting
confidence: 93%
“…The findings show that usefulness, traceability and security each has a positive effect on attitude towards mobile payment apps (thus, supporting H1, H2 and H3). The findings concur with similar influences that have been reported in past studies (Abdul-Halim et al, 2021;Ali et al, 2022;Vishwakarma et al, 2018). To attract and retain users, stakeholders in the mobile payment app market should work closely to improve and demonstrate the usefulness of the apps to encourage wider adoption.…”
Section: Discussionsupporting
confidence: 89%
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“…The concern is that rewards prompt customers to share personal information (Mukherjee et al, 2013). While some studies have explored self‐disclosure behavior (Gong et al, 2019; Yang et al, 2020) and perceived security and privacy behavior (Akanfe et al, 2020; Khalek et al, 2023; Zhang & Luximon, 2021) of users in MPS, they have not examined how privacy risks can be mitigated to promote MPS adoption. Therefore, future research should use experimental research designs and theories like the privacy calculus model (Dinev & Hart, 2003, 2006) to understand and mitigate different privacy concerns (Finn et al, 2013) in MPS.…”
Section: Future Research Agendamentioning
confidence: 99%