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Enablers and restrictors of mobile banking app use: A fuzzy set qualitative comparative analysis (fsQCA)

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  • Veríssimo, José Manuel Cristóvão

Abstract

Banking customers no longer require desktop computers to manage their accounts, because phones and tablets are currently always within reach. However, several factors may restrict the adoption of mobile banking apps. This study presents unpublished findings on mobile banking app use and identifies the potential barriers that currently restrict its wider adoption. Employing a fuzzy set qualitative comparative analysis (fsQCA), this study examines how perceived risk, perceived ease of use, perceived usefulness, compatibility, age, and income all affect mobile banking app use, and non-use, using empirical data from a sample of banking customers. The analysis of necessary conditions shows that mobile banking app use is associated with low perceived risk, high compatibility, high perceived ease of use, and high perceived usefulness. The findings also reveal that a combination of low compatibility, low perceived usefulness, low perceived ease of use, and a high perceived risk is a sufficient condition for mobile banking app non-use.

Suggested Citation

  • Veríssimo, José Manuel Cristóvão, 2016. "Enablers and restrictors of mobile banking app use: A fuzzy set qualitative comparative analysis (fsQCA)," Journal of Business Research, Elsevier, vol. 69(11), pages 5456-5460.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:5456-5460
    DOI: 10.1016/j.jbusres.2016.04.155
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    References listed on IDEAS

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    1. 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.
    2. Bellman, Steven & Potter, Robert F. & Treleaven-Hassard, Shiree & Robinson, Jennifer A. & Varan, Duane, 2011. "The Effectiveness of Branded Mobile Phone Apps," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 191-200.
    3. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, September.
    4. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
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    Cited by:

    1. Teklemariam, Mekuria Haile, 2021. "Developing a tailored strategy for mobile applications’ adoption across diffusion levels: A panel data analysis," Technology in Society, Elsevier, vol. 66(C).

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