@misc{10481/111877,
year = {2026},
month = {2},
url = {https://hdl.handle.net/10481/111877},
abstract = {With the transition to a cashless society and the evolving regulatory framework gov
erning electronic payments, the advent of novel payment systems has become increas
ingly apparent. In this context, biometric payment cards have emerged as a promising 
alternative to enhance security, convenience, and efficiency in electronic transactions. 
An online questionnaire was administered to a sample of users experienced in mobile 
payment systems, and structural equation modeling was utilized to identify the vari
ables significantly affecting usage and recommendation. The results confirm the pro
posed hypotheses, except for those related to social influence and perceived risk. This 
study provides a unique contribution by investigating the factors influencing the adop
tion and word‑of‑mouth (WOM) of biometric payment cards, integrating elements 
from the unified theory of acceptance and use of technology 2 (UTAUT2), general 
risk theory, and trust theory. This research is highly relevant for financial institutions, 
tech companies, marketers and policymakers, as it informs user strategy development 
for businesses operating within the biometric payment sector and suggests guidelines 
for enhancing consumer trust and reducing perceived risks associated with biometric 
payments.},
organization = {Universidad de Granada - (DGP_PIDI_2024_01646)},
publisher = {Springer},
keywords = {Biometric payment card},
keywords = {FinTech},
keywords = {Paytech},
title = {Unlocking the future of paytech: exploring biometric payment card adoption patterns},
doi = {10.1186/s40854},
author = {Liébana Cabanillas, Francisco José and Irimia-Diéguez, Ana and Albort Morant, Gema and Zarco, Carmen},
}