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
37
Min Kyung Lee, Daniel Kusbit, Evan Metsky et al. · 2015 · 746 citations
Management, Human Resource Management, Organizational Behavior +13
Sateesh V. Shet, Tanuj Poddar, Fosso Wamba Samuel et al. · Journal of Business Research · 2021 · 181 citations · Full text
Management, Human Resource Management, Management Information Systems +14
Marina Johnson, Rashmi Jain, Peggy Brennan-Tonetta et al. · Global Journal of Flexible Systems Management · 2021 · 170 citations
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53
The University of Texas at Austin
Austin, United States
2 h-index
6 publications
265 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
4 publications
3K citations

University of Exeter
Exeter, United Kingdom
1 h-index
2 publications
46 citations
Queen Mary University of London
London, United Kingdom
1 h-index
1 publications
10 citations

University of Coimbra
Coimbra, Portugal
1 h-index
1 publications
17 citations

Drexel University
Philadelphia, United States
1 h-index
1 publications
170 citations
University of Oxford
Oxford, United Kingdom
1 h-index
2 publications
78 citations

Libera Università Internazionale degli Studi Sociali Guido Carli
Rome, Italy
1 h-index
1 publications
10 citations
1–8 of 53
5 publications · 85 citations
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JBR · 2 publications · 301 citations
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1 publications · 39 citations
1
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1 publications · 10 citations
1
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Repository · 1 publications · 30 citations
1
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