Correlation model in the adoption of E-payment services: A machine learning approach
The purpose of this study was to understand the highly correlated factors that influence user intention to adopt e-payment into their daily lives. The research framework incorporates the 4 main constructs of the UTAUT model and additional determinants of the extended UTAUT model to model the relatio...
Saved in:
Main Author: | Tan, Xi En |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/4670/1/fyp_CS_2022_TXE.pdf http://eprints.utar.edu.my/4670/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Consumer satisfaction on the adoption of e-payment among millennials in Malaysia during Covid 19 pandemic
by: Md Yusoff, Muhammad Faiz, et al.
Published: (2022) -
Technology adoption model on cloud computing e-learning for higher education
by: Abdulsaeed, Ali A
Published: (2022) -
Cephalopod species identification using integrated analysis of machine learning and deep learning approaches
by: Tan, Hui Yuan, et al.
Published: (2021) -
Factors influencing the adoption of e-payment in Kuala Lumpur
by: Ding, Jia Lee, et al.
Published: (2020) -
Cryptocurrency adoption in e-payment: barrier of its implementation
by: Conde, Naby Nouhou, et al.
Published: (2021)