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Open Access

Peer-reviewed

Research Article

Assessing incentives to increase digital payment acceptance and usage: A machine learning approach

Jeff Allen,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft

Affiliation World Bank, Washington, DC, United States of America
⨯
Santiago Carbo-Valverde,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

Affiliations World Bank, Washington, DC, United States of America, University of Granada, Granada, Spain
⨯
Sujit Chakravorti,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft

Affiliations World Bank, Washington, DC, United States of America, Chakra Advisors LLC, Washington, DC, United States of America
⨯
Francisco Rodriguez-Fernandez ,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Writing – original draft

* E-mail: franrod@ugr.es

Affiliations World Bank, Washington, DC, United States of America, University of Granada, Granada, Spain

https://orcid.org/0000-0003-3676-9156

⨯
Oya Pinar Ardic

Roles Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft

Affiliation World Bank, Washington, DC, United States of America
⨯

Assessing incentives to increase digital payment acceptance and usage: A machine learning approach

Jeff Allen,
Santiago Carbo-Valverde,
Sujit Chakravorti,
Francisco Rodriguez-Fernandez,
Oya Pinar Ardic

x

Published: November 2, 2022
https://doi.org/10.1371/journal.pone.0276203

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