Low-risk Customer Classification

Low-Risk Customer Classification is a risk-based assessment construct that categorizes customers according to their minimal likelihood of engaging in financial crime or default behaviors, distinguishing it from other classifications by its emphasis on verified low-risk attributes such as stable transaction patterns, strong identity verification, and absence of adverse regulatory flags.

3

Publications

110

Citations

8

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

8

  1. JB
    Josée Bloemer

    Radboud University Nijmegen, Netherlands

    1 publications · 40 citations

    1

    h-index

  2. TB
    Tom Brijs

    Hasselt University, Belgium

    1 publications · 40 citations

    1

    h-index

  3. IS
    Inseong Song

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 45 citations

    1

    h-index

  4. GS
    Gilbert Swinnen

    Hasselt University, Belgium

    1 publications · 40 citations

    1

    h-index

  5. YZ
    Yi Zhao

    Georgia State University, United States

    1 publications · 45 citations

    1

    h-index

1–5 of 8

Venues

  1. The Journal of Business

    JB · 1 publications · 25 citations

    1

    h-index

  2. Journal of Marketing Research

    1 publications · 45 citations

    1

    h-index

  3. International Journal of Research in Marketing

    IJRM · 1 publications · 40 citations

    1

    h-index

  4. Journal of Financial Services Marketing

    1 publications · 10 citations

  5. Journal of Money Laundering Control

    1 publications · 10 citations

1–5