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Exploring biometric identification in FinTech applications based on the modified TAM

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  • Jen Sheng Wang

    (National Yang Ming Chiao Tung University)

Abstract

In recent years, biometric technologies have been widely embedded in mobile devices; these technologies were originally employed to enhance the security of mobile devices. With the rise of financial technology (FinTech), which uses mobile devices and applications as promotional platforms, biometrics has the important role of strengthening the identification of such applications for security. However, users still have privacy and trust concerns about biometrics. Previous studies have demonstrated that the technology acceptance model (TAM) can rigorously explain and predict user acceptance of new technologies. This study therefore modifies the TAM as a basic research architecture. Based on a literature review, we add two new variables, namely, “perceived privacy” and “perceived trust,” to extend the traditional TAM to examine user acceptance of biometric identification in FinTech applications. First, we apply the analytic hierarchy process (AHP) to evaluate the defined objects and relevant criteria of the research framework. Second, we use the AHP results in the scenario analysis to explore biometric identification methods that correspond to objects and criteria. The results indicate that face and voice recognition are the two most preferred identification methods in FinTech applications. In addition, there are significant changes in the results of the perceived trust and perceived privacy dominant scenarios.

Suggested Citation

  • Jen Sheng Wang, 2021. "Exploring biometric identification in FinTech applications based on the modified TAM," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.
  • Handle: RePEc:spr:fininn:v:7:y:2021:i:1:d:10.1186_s40854-021-00260-2
    DOI: 10.1186/s40854-021-00260-2
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    Cited by:

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    2. María Camila Bermeo-Giraldo & Alejandro Valencia-Arias & Lucia Palacios-Moya & Jackeline Valencia, 2023. "Adoption of Fintech Services in Young Students: Empirical Approach from a Developing Country," Economies, MDPI, vol. 11(9), pages 1-19, September.
    3. Meennapa Rukhiran & Sethapong Wong-In & Paniti Netinant, 2023. "User Acceptance Factors Related to Biometric Recognition Technologies of Examination Attendance in Higher Education: TAM Model," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    4. Gorka Briones de Araluze & Natalia Cassinello Plaza, 2023. "The Relevance of Initial Trust and Social Influence in the Intention to Use Open Banking-Based Services: An Empirical Study," SAGE Open, , vol. 13(3), pages 21582440231, July.
    5. Luiz Antonio Joia & Rodrigo Proença, 2022. "The social representation of fintech from the perspective of traditional financial sector professionals: evidence from Brazil," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-27, December.
    6. Metawa, Noura & Dogan, Eyup & Taskin, Dilvin, 2022. "Analyzing the nexus of green economy, clean and financial technology," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 385-396.
    7. Gupta, Somya & Pandey, Dharen Kumar & El Ammari, Anis & Sahu, Ganesh P., 2023. "Do perceived risks and benefits impact trust and willingness to adopt CBDCs?," Research in International Business and Finance, Elsevier, vol. 66(C).
    8. Emerson Wagner Mainardes & Priscilla Maria Ferreira Costa & Silvania Neris Nossa, 2023. "Customers’ satisfaction with fintech services: evidence from Brazil," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(2), pages 378-395, June.

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