Study of Merchant Adoption in Mobile Payment System Based on Ensemble Learning

Journals Menu

Follow SCIRP

ISSN Print: 2164-5167
ISSN Online: 2164-5175
www.scirp.org/journal/ajibm
E-mail: ajibm@scirp.org

"Study of Merchant Adoption in Mobile Payment System Based on Ensemble Learning"
written by Yingying Li, Ying Li,
published by American Journal of Industrial and Business Management, Vol.10 No.5, 2020

has been cited by the following article(s):

[1]	Assessing factors influencing consumers' non-adoption intention: exploring the dark sides of mobile payment
	Information Technology & People, 2022

[2]	Exploring retailers' behavioural intentions towards using m-payment: Extending UTAUT with perceived risk and Trust
	Paradigm, 2022

[3]	An Ensemble Learning Recommender System for Interactive Platforms
	World Journal of …, 2022

[4]	Using Machine Learning Predictive Models to Aid Manufacturers Identify Early Warning Signs of Ventilator Defects
	2022

[5]	Drivers and barriers of mobile payment adoption: Malaysian merchants' perspective
	2020

[1]	Consumer Behaviour and Mobile Payments in the Point of Sale: Exploring the Determinants of Intention to Adopt It International Journal of Human–Computer Interaction, 2023 DOI:10.1080/10447318.2023.2233135

[2]	Fintech adoption dynamics in a pandemic: An experience from some financial institutions in Nigeria during COVID-19 using machine learning approach Cogent Business & Management, 2023 DOI:10.1080/23311975.2023.2242985

[3]	Assessing factors influencing consumers' non-adoption intention: exploring the dark sides of mobile payment Information Technology & People, 2023 DOI:10.1108/ITP-03-2022-0223

[4]	Assessing factors influencing consumers' non-adoption intention: exploring the dark sides of mobile payment Information Technology & People, 2022 DOI:10.1108/ITP-03-2022-0223

[5]	Exploring Retailers’ Behavioural Intentions Towards Using M-payment: Extending UTAUT with Perceived Risk and Trust Paradigm: A Management Research Journal, 2022 DOI:10.1177/09718907221091717

Follow SCIRP