Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach.
Wearable payment devices (WPD) are gaining acceptance fast and transforming everyday life and commercial operations in China. Limited research works were conducted on customers' adoption intentions to obtain a real image of the evolution of WPD in China. This study aims to investigate the effec...
Saved in:
| Main Authors: | Li Luyao, Abdullah Al Mamun, Naeem Hayat, Qing Yang, Mohammad Enamul Hoque, Noor Raihani Zainol |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0273849&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modelling the mass adoption potential of wearable medical devices.
by: Qing Yang, et al.
Published: (2022-01-01) -
NFC, Wearables and QR Code in POS Payments: Determinants of Adoption of the Leading Mobile Payment Technologies in Europe
by: Mikołaj Borowski-Beszta, et al.
Published: (2025-03-01) -
Digital payment adoption: the antecedent of habit and behavioral intention
by: Ali Mohamad Rezza, et al.
Published: (2024-12-01) -
Examining the effectiveness of micro-enterprise development programs in Malaysia
by: Noor Raihani Zainol, et al.
Published: (2017-06-01) -
Factors Affecting Continuance Intention Towards Adoption of Linkaja Mobile Payment
by: Muhammad Damar Hafizh, et al.
Published: (2024-09-01)