Predictive Workforce Modeling

Predictive Workforce Modeling is a computational modeling approach within workforce analytics that employs statistical and machine learning techniques to forecast future workforce dynamics, performance, and talent needs based on historical and real-time organizational data.

37

Publications

1.5K

Citations

88

Authors

58

Institutions

Publications per year

2017–2026

24

Authors

88

  1. JS
    Joshua S. Gans

    University of Toronto, Canada

    3 publications · 662 citations

    3

    h-index

  2. SK
    Sharareh Kermanshachi

    The University of Texas at Arlington, United States

    3 publications · 53 citations

    3

    h-index

  3. AG
    Avi Goldfarb

    University of Toronto, Canada

    3 publications · 662 citations

    3

    h-index

  4. BR
    Behzad Rouhanizadeh

    The University of Texas at Arlington, United States

    2 publications · 37 citations

    2

    h-index

  5. AJ
    Amirhosein Jafari

    Louisiana State University, United States

    2 publications · 37 citations

    2

    h-index

1–5 of 88

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 42 citations

    4

    h-index

  2. Journal of Applied Psychology

    2 publications · 78 citations

    2

    h-index

  3. Journal of Management in Engineering

    2 publications · 62 citations

    2

    h-index

  4. 2

    h-index

  5. Advanced Emergency Nursing Journal

    AENJ · 1 publications · 52 citations

    1

    h-index

1–5