Attrition Analytics

Attrition Analytics is a scholarly methodological framework within talent analytics that systematically examines employee turnover patterns to identify predictive determinants and organizational implications of workforce attrition.

102

Publications

8.6K

Citations

285

Authors

146

Institutions

Publications per year

2017–2026

52

Authors

285

  1. DG
    David G. Allen

    University of Memphis, United States

    3 publications · 915 citations

    3

    h-index

  2. YJ
    Yeram Jeon

    Handong Global University, South Korea

    2 publications · 88 citations

    2

    h-index

  3. BC
    Brooks C. Holtom

    Georgetown University, United States

    2 publications · 693 citations

    2

    h-index

  4. HJ
    Hugh J. Arnold

    University of Toronto, Canada

    2 publications · 769 citations

    2

    h-index

  5. JL
    Jeha Lee

    Handong Global University, South Korea

    2 publications · 88 citations

    2

    h-index

1–5 of 285

Venues

  1. Journal of Applied Psychology

    4 publications · 838 citations

    4

    h-index

  2. Journal of Vocational Behavior

    3 publications · 540 citations

    3

    h-index

  3. Expert Systems with Applications

    3 publications · 203 citations

    3

    h-index

  4. Review of Public Personnel Administration

    ROPPA · 2 publications · 392 citations

    2

    h-index

  5. IOP Conference Series Materials Science and Engineering

    Conference · 2 publications · 68 citations

    2

    h-index

1–5