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Exploring the Usage Behavior of Mobile Wallet: An Empirical Study in Pakistan

Author

Listed:
  • Fahad Javed Baig

    (PhD scholar, Institute of Business, Management & Administrative Sciences, The Islamia University of Bahawalpur, Pakistan)

  • Rana Shahid Yaqub

    (Assistant Professor, Institute of Business, Management & Administrative Sciences, The Islamia University of Bahawalpur, Pakistan)

Abstract

The objective of this study was to explore the factors influencing the usage behavior of mobile wallet (m-wallet) in Pakistan by using technology acceptance model (TAM). This study used the PLS-SEM analysis with 408 valid samples collected from Pakistani consumers using paper and online survey. The results presented that all three factors, including perceived usefulness (PU), perceived ease of use (PEOU), and intention to use (ITU) has positive and significant effect (direct and indirect) on m-wallet usage behavior. Based on results, this study provided the recommendations to m-wallet providers to expand the usage behavior of m-wallet in Pakistan.

Suggested Citation

  • Fahad Javed Baig & Rana Shahid Yaqub, 2022. "Exploring the Usage Behavior of Mobile Wallet: An Empirical Study in Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 11-16, December.
    • Handle: RePEc:rfh:jprjor:v:8:y:2022:i:3:p:11-16
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    References listed on IDEAS

    as
    1. Audi, Marc & Ali, Amjad, 2019. "The Advancement in Information and Communication Technologies (ICT) and Economic Development: A Panel Analysis," MPRA Paper 93476, University Library of Munich, Germany.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Wei, June, 2020. "Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach," International Journal of Information Management, Elsevier, vol. 51(C).
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