Risk-based Segmentation Models

Risk-Based Segmentation Models is a methodological framework in customer risk assessment that classifies customers into distinct groups based on their inherent risk profiles, differentiating itself from other segmentation approaches by prioritizing risk-related variables and predictive indicators to inform targeted risk mitigation strategies.

8

Publications

321

Citations

20

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

20

  1. SL
    Stéphane Loisel

    Université Claude Bernard Lyon 1, France

    2 publications · 36 citations

    2

    h-index

  2. XM
    Xavier Milhaud

    Université Claude Bernard Lyon 1, France

    2 publications · 36 citations

    2

    h-index

  3. NV
    Nanjangud Vishwanath Vighnesh

    Queensland University of Technology, Australia

    1 publications · 30 citations

    1

    h-index

  4. CY
    Cindy Yunhsin Chou

    Yuan Ze University, Taiwan

    1 publications · 30 citations

    1

    h-index

  5. PH
    Payam Hanafizadeh

    Allameh Tabataba'i University, Iran

    1 publications · 19 citations

    1

    h-index

1–5 of 20

Venues

  1. Decision Support Systems

    1 publications · 128 citations

    1

    h-index

  2. Journal of Retailing and Consumer Services

    1 publications · 30 citations

    1

    h-index

  3. Journal of Services Marketing

    1 publications · 29 citations

    1

    h-index

  4. Scandinavian Journal of Rheumatology

    1 publications · 14 citations

    1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 13 citations

    1

    h-index

1–5