Markov Workforce Models
Markov Workforce Models is a stochastic modeling approach in workforce forecasting that uses transition probabilities between discrete organizational states to predict internal labor supply, distinguishing itself by assuming memoryless movement and stationary distributions over time.
21
Publications
359
Citations
27
Authors
22
Institutions
Publications per year
2017–2026
1
Parents
21
1–5 of 21
27
4
h-index
4
h-index
3
h-index
3
h-index
Centers for Disease Control and Prevention, United States
2 publications · 30 citations
2
h-index
1–5 of 27
22

DePaul University
Chicago, United States
3 h-index
5 publications
79 citations

Naval Postgraduate School
Monterey, United States
2 h-index
3 publications
42 citations
University of Patras
Pátrai, Greece
2 h-index
2 publications
47 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
2 h-index
2 publications
47 citations
Vrije Universiteit Brussel
Brussels, Belgium
2 h-index
2 publications
36 citations
Cambridge Econometrics (United Kingdom)
Cambridge, United Kingdom
1 h-index
1 publications
11 citations
Nagpur Institute of Technology
Nagpur, India
1 h-index
1 publications
10 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
19 citations
1–8 of 22
JFE · 3 publications · 41 citations
3
h-index
OR · 2 publications · 34 citations
2
h-index
1 publications · 21 citations
1
h-index
1 publications · 22 citations
1
h-index
AMR · 1 publications · 15 citations
1
h-index
1–5