Open AccessPredicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach
Author(s) -
Luyao Li,
Abdullah Al Mamun,
Naeem Hayat,
Qing Yang,
Mohammad Enamul Hoque,
Muhammad Khalilur Rahman
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0273849
Subject(s) - structural equation modeling , expectancy theory , technology acceptance model , unified theory of acceptance and use of technology , payment , wearable computer , china , partial least squares regression , marketing , business , psychology , computer science , usability , machine learning , social psychology , human–computer interaction , finance , political science , law , embedded system