Prescriptive Workforce Analytics

Prescriptive Workforce Analytics is an advanced form of workforce analytics that, as a decision-support methodology, distinguishes itself by employing optimization, simulation, and machine learning techniques to recommend specific actions for achieving desired organizational outcomes, rather than merely describing, diagnosing, or predicting workforce phenomena.

3

Publications

353

Citations

11

Authors

4

Institutions

Publications per year

2017–2026

2

Authors

11

  1. GS
    Gonen Singer

    Afeka College of Engineering, Israel

    1 publications · 283 citations

    1

    h-index

  2. ES
    Erez Shmueli

    Tel Aviv University, Israel

    1 publications · 283 citations

    1

    h-index

  3. HC
    Hila Chalutz Ben‐Gal

    Afeka College of Engineering, Israel

    1 publications · 283 citations

    1

    h-index

  4. DA
    Dan Avrahami

    Bar-Ilan University, Israel

    1 publications · 283 citations

    1

    h-index

  5. JY
    Julia Yan

    Massachusetts Institute of Technology, United States

    1 publications · 58 citations

    1

    h-index

1–5 of 11

Venues

  1. European Journal of Operational Research

    1 publications · 58 citations

    1

    h-index

  2. eCommons (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

  3. Decision Support Systems

    1 publications · 283 citations

    1

    h-index

1–3