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Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones

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  • Aidan Duane
  • Philip O'Reilly
  • Pavel Andreev

Abstract

It is predicted that significant and ongoing investment in M-Commerce platforms and application development by commercial entities will fundamentally change consumers' shopping and web browsing behaviours. However, the evolving behaviour of Smart Phone users is somewhat tempered by concerns over M-Payments. If Smart Phones are to reach their full M-Commerce potential, the ability of consumers to transact and pay for products/services through these devices in an easy, safe and reliable manner must be addressed. In response, this paper contributes a theoretical model and empirically tests the model to explore Irish consumers' perceptions of using Smart Phones to make M-Payments for products/services. The findings present conclusive evidence that trust is the most powerful factor influencing consumers' willingness to use Smart Phones to make M-Payments. While perceived usefulness and perceived ease of use influence the payment decision, their impact is much lower. Mobile self-efficacy and personal innovativeness have almost no direct impact. The paper concludes that irrespective of individuals' high levels of personal innovativeness or mobile self-efficacy and irrespective of whether Smart Mobile Media Services are perceived as useful and easy to use, consumers will not make M-Payments, until they are convinced that Smart Phone M-Payment systems are safe and reliable.

Suggested Citation

  • Aidan Duane & Philip O'Reilly & Pavel Andreev, 2014. "Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones," Behaviour and Information Technology, Taylor & Francis Journals, vol. 33(4), pages 318-334, April.
    • Handle: RePEc:taf:tbitxx:v:33:y:2014:i:4:p:318-334
    DOI: 10.1080/0144929X.2012.745608
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    Cited by:

    1. Kanokkarn Snae Namahoot & Ekkarat Boonchieng, 2023. "UTAUT Determinants of Cashless Payment System Adoption in Thailand: A Hybrid SEM-Neural Network Approach," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Broekhoff, Marie-Claire & van der Cruijsen, Carin & de Haan, Jakob, 2024. "Towards financial inclusion: Trust in banks’ payment services among groups at risk," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 104-123.
    3. Imdadullah Hidayat-ur-Rehman & Saeed Alzahrani & Mohd Ziaur Rehman & Fahim Akhter, 2022. "Determining the factors of m-wallets adoption. A twofold SEM-ANN approach," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-24, January.
    4. Jaiswal, Deepak & Mohan, Ashutosh & Deshmukh, Arun Kumar, 2023. "Cash rich to cashless market: Segmentation and profiling of Fintech-led-Mobile payment users," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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