Loyalty Clustering

Loyalty Clustering is a data-driven segmentation method that groups customers based on behavioral and attitudinal indicators of loyalty, distinguishing itself from general clustering techniques by specifically prioritizing loyalty-related dimensions such as repeat purchase patterns, engagement intensity, and emotional commitment to a brand.

10

Publications

486

Citations

31

Authors

14

Institutions

Publications per year

2017–2026

3

Authors

31

  1. AH
    Angela H. L. Chen

    Yuan Ze University, Taiwan

    1 publications · 19 citations

    1

    h-index

  2. ZZ
    Zohre Zalaghi

    Islamic Azad University, Tehran, Iran

    1 publications · 24 citations

    1

    h-index

  3. WC
    Wan-Ju Chang

    Chung Yuan Christian University, Taiwan

    1 publications · 19 citations

    1

    h-index

  4. MB
    Malihe Baqeri-dehnavi

    Qom University of Technology, Iran

    1 publications · 20 citations

    1

    h-index

  5. ST
    Sarah Tanford

    University of Nevada, Las Vegas, United States

    1 publications · 48 citations

    1

    h-index

1–5 of 31

Venues

  1. Management Science Letters

    1 publications · 24 citations

    1

    h-index

  2. Jurnal Online Informatika

    1 publications · 25 citations

    1

    h-index

  3. Cornell Hospitality Quarterly

    CQ · 1 publications · 48 citations

    1

    h-index

  4. Journal of Advanced Transportation

    1 publications · 19 citations

    1

    h-index

  5. Journal of Services Marketing

    1 publications · 50 citations

    1

    h-index

1–5