2019
DOI: 10.2139/ssrn.3370665
|View full text |Cite
|
Sign up to set email alerts
|

Focus Note: The Use of eKYC for Customer Identity and Verification and AML

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 3 publications
0
5
0
Order By: Relevance
“…eKYC is an electronic means used to identify and verify online the identity of customers (Perlman and Gurung, 2019; 53] World Bank, 2021). Based on Table 5, more than 50% (54.4% to 79.4%) of respondents strongly agree that sophisticated technology can assist banks in online identifying and verifying customer identities.…”
Section: Data Analysis and Findingsmentioning
confidence: 99%
“…eKYC is an electronic means used to identify and verify online the identity of customers (Perlman and Gurung, 2019; 53] World Bank, 2021). Based on Table 5, more than 50% (54.4% to 79.4%) of respondents strongly agree that sophisticated technology can assist banks in online identifying and verifying customer identities.…”
Section: Data Analysis and Findingsmentioning
confidence: 99%
“…The independent variable is RegTech, which is measured by eKYC, TM and CT. eKYC is an electronic means used to identify and verify customer identity online to minimize errors usually found in manual processes (Perlman & Gurung, 2019;Turki et al, 2020;World Bank, 2021). TM is one of the efforts that banks can make to monitor and detect financial activities so that cyber security in the services provided remains safe (Repin et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…The paradigm shift from Know Your Customer to Know Your Data shows the movement towards data-based regulations (Perlman and Gurung 2019;Arner et al 2017;Lootsma 2017). Big data is key in using financial application tools, such as machine learning.…”
Section: Regulation Paradigm Shiftmentioning
confidence: 99%