Francisco Liébana-Cabanillas
TitleCited byYear
Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust
EL Slade, YK Dwivedi, NC Piercy, MD Williams
Psychology & Marketing 32 (8), 860-873, 2015
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age
F Liébana-Cabanillas, J Sánchez-Fernández, F Muñoz-Leiva
Computers in Human Behavior 35, 464-478, 2014
The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN)
F Liébana-Cabanillas, J Sánchez-Fernández, F Muñoz-Leiva
International Journal of Information Management, 2014
Role of gender on acceptance of mobile payment
F Jose Liebana-Cabanillas, J Sánchez-Fernández, F Muñoz-Leiva
Industrial Management & Data Systems 114 (2), 220-240, 2014
A SEM-neural network approach for predicting antecedents of m-commerce acceptance
F Liébana-Cabanillas, V Marinković, Z Kalinić
International Journal of Information Management 37 (2), 14-24, 2017
The determinants of satisfaction with e-banking
F Liébana-Cabanillas, F Muñoz-Leiva, F Rejón-Guardia
Industrial Management & Data Systems 113 (5), 750-767, 2013
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model
F Munoz-Leiva, S Climent-Climent, F Liébana-Cabanillas
Spanish Journal of Marketing-ESIC 21 (1), 25-38, 2017
A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment
F Liébana-Cabanillas, F Muñoz-Leiva, J Sánchez-Fernández
Service Business, 1-40, 2018
Determinants of the intention to use NFC technology as a payment system: an acceptance model approach
I Ramos-de-Luna, F Montoro-Ríos, F Liébana-Cabanillas
Information Systems and e-Business Management 14 (2), 293-314, 2016
User behaviour in QR mobile payment system: the QR Payment Acceptance Model
F Liébana-Cabanillas, I Ramos de Luna, FJ Montoro-Ríos
Technology Analysis & Strategic Management 27 (9), 1031-1049, 2015
A model for the integration of e-financial services questionnaires with SERVQUAL scales under fuzzy linguistic modeling
RA Carrasco, F Muñoz-Leiva, J Sánchez-Fernández, ...
Expert Systems with Applications 39 (14), 11535-11547, 2012
DMO online platforms: Image and intention to visit
S Molinillo, F Liébana-Cabanillas, R Anaya-Sánchez, D Buhalis
Tourism management 65, 116-130, 2018
Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach
F Liébana-Cabanillas, V Marinkovic, IR de Luna, Z Kalinic
Technological Forecasting and Social Change 129, 117-130, 2018
Factors that determine the adoption of Facebook commerce: The moderating effect of age
F Liebana-Cabanillas, M Alonso-Dos-Santos
Journal of Engineering and Technology Management 44, 1-18, 2017
Analysing user trust in electronic banking using data mining methods
F Liébana-Cabanillas, R Nogueras, LJ Herrera, A Guillén
Expert Systems with Applications 40 (14), 5439-5447, 2013
Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments
F Liébana-Cabanillas, I Ramos de Luna, F Montoro-Ríos
Economic research-Ekonomska istraživanja 30 (1), 892-910, 2017
Predictive and explanatory modeling regarding adoption of mobile payment systems
F Liébana-Cabanillas, J Lara-Rubio
Technological Forecasting and Social Change 120, 32-40, 2017
NFC technology acceptance for mobile payments: A Brazilian Perspective
IR Luna, F Montoro-Ríos, F Liébana-Cabanillas, JG Luna
Revista brasileira de gestão de negócios 19 (63), 82-103, 2017
Behavioral model of younger users in M-payment systems
F Liébana-Cabanillas, F Muñoz-Leiva, J Sánchez-Fernández
Journal of Organizational Computing and Electronic Commerce 25 (2), 169-190, 2015
Payment systems in new electronic environments: Consumer behavior in payment systems via SMS
LC Francisco, ML Francisco, SF Juan
International Journal of Information Technology & Decision Making 14 (02 …, 2015
The system can't perform the operation now. Try again later.
Articles 1–20