Consumers’ attitude toward biometric banking services: an empirical evaluation of determinants and outcomes
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DOI: 10.1057/s41264-024-00285-5
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- Belanche, Daniel & Casaló, Luis V. & GuinalÃu, Miguel, 2012. "Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 124-132.
- repec:eme:mrn000:01409170610645402 is not listed on IDEAS
- O. Bello & O. Olanrewaju, 2022. "Factors influencing biometric technology adoption: Empirical evidence from Nigeria," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 14(2), pages 392-404, February.
- Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & Sebastián Molinillo & Elena Higueras-Castillo, 2022. "Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
- Michael B. Imerman & Frank J. Fabozzi, 2020. "Cashing in on innovation: a taxonomy of FinTech," Journal of Asset Management, Palgrave Macmillan, vol. 21(3), pages 167-177, May.
- Said Al-Gahtani, 2001. "The Applicability of TAM Outside North America: An Empirical Test in the United Kingdom," Information Resources Management Journal (IRMJ), IGI Global, vol. 14(3), pages 37-46, July.
- Ruchika Gupta & Siddharth Varma, 2019. "A structural equation model to assess behavioural intention to use biometric enabled e-banking services in India," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 31(4), pages 555-572.
- Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
- Afzaal H. Seyal & Rodney Turner, 2013. "A study of executives' use of biometrics: an application of theory of planned behaviour," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(12), pages 1242-1256, December.
- Mortenson, Michael J. & Vidgen, Richard, 2016. "A computational literature review of the technology acceptance model," International Journal of Information Management, Elsevier, vol. 36(6), pages 1248-1259.
- Abdul Waheed Siyal & Ding Donghong & Waheed Ali Umrani & Saeed Siyal & Shaharbano Bhand, 2019. "Predicting Mobile Banking Acceptance and Loyalty in Chinese Bank Customers," SAGE Open, , vol. 9(2), pages 21582440198, April.
- Greenacre, Luke & Akbar, Skye, 2019. "The impact of payment method on shopping behaviour among low income consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 87-93.
- Boluwaji A. Akinnuwesi & Faith-Michael E. Uzoka & Onyinye Sandra Okwundu & Gbenga Fashoto, 2016. "Exploring biometric technology adoption in a developing country context using the modified UTAUT," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 23(4), pages 482-521.
- Clodfelter, Richard, 2010. "Biometric technology in retailing: Will consumers accept fingerprint authentication?," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 181-188.
- Hock-Han Tee & Hway-Boon Ong, 2016. "Cashless payment and economic growth," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-9, December.
- Sookeun Byun & Sang-Eun Byun, 2013. "Exploring perceptions toward biometric technology in service encounters: a comparison of current users and potential adopters," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(3), pages 217-230.
- Adrian POCOVNICU, 2009. "Biometric Security for Cell Phones," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(1), pages 57-63.
- Prasanta Kr. Chopdar & V. J. Sivakumar, 2019. "Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(1), pages 42-64, January.
- 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.
- 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.
- Suhail Ahmad Bhat & Ajaz Akbar Mir & Sheikh Basharul Islam, 2022. "Scale Purification and Validation: A Methodological Approach to Sustainable Online Retailing," Vikalpa: The Journal for Decision Makers, , vol. 47(3), pages 217-234, September.
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Keywords
Face recognition; Iris scan; Fingerprinting; Security; Perceived ease of use; Perceived usefulness and intention to use;All these keywords.
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