Data-driven Workforce Management

Data-Driven Workforce Management is a strategic framework within workforce development administration that systematically integrates quantitative and qualitative data analytics to optimize labor force planning, allocation, performance evaluation, and skill development decisions in contrast to intuition-based or traditional administrative approaches.

37

Publications

2.3K

Citations

92

Authors

53

Institutions

Publications per year

2017–2026

29

Authors

92

  1. MK
    Min Kyung Lee

    The University of Texas at Austin, United States

    2 publications · 258 citations

    2

    h-index

  2. JV
    John Vines

    Newcastle University, United Kingdom

    1 publications · 23 citations

    1

    h-index

  3. JP
    Jessica Paolini

    Montclair State University, United States

    1 publications · 170 citations

    1

    h-index

  4. PP
    Paula Pereira

    University of Minho, Portugal

    1 publications · 17 citations

    1

    h-index

  5. YY
    Yumei Yang

    Bournemouth University, United Kingdom

    1 publications · 10 citations

    1

    h-index

1–5 of 92

Venues

  1. 5

    h-index

  2. Journal of Business Research

    JBR · 2 publications · 301 citations

    2

    h-index

  3. Big Data & Society

    1 publications · 39 citations

    1

    h-index

  4. Review of Managerial Science

    1 publications · 10 citations

    1

    h-index

  5. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 30 citations

    1

    h-index

1–5