Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach-Reference-Cited by-同舟云学术

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Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach

Published:2018-04 Issue: Volume:129 Page:117-130
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Liébana-Cabanillas Francisco,Marinkovic Veljko,Ramos de Luna Iviane,Kalinic Zoran

Funder

Andalusia Regional Government

Capes Foundation-Ministry of Education of Brazil

Ministry of Education, Science and Technological Development of the Republic of Serbia

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference118 articles.

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3. Attitude-behavior relations: a theoretical analysis and review of empirical research;Ajzen;Psychol. Bull.,1977

4. On the evaluation of structural equation model;Bagozzi;J. Acad. Mark. Sci.,1988

5. A weight and a meta-analysis on mobile banking acceptance research;Baptista;Comput. Hum. Behav.,2016

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