Exogenous Driver Modeling
Exogenous Driver Modeling is a predictive modeling approach that identifies and incorporates external, non-internal organizational factors—such as economic indicators, regulatory changes, or technological advancements—into workforce demand forecasts to improve accuracy by accounting for influences beyond the organization’s immediate control.
4
Publications
107
Citations
13
Authors
14
Institutions
Publications per year
2017–2026
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Parents
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University of Strathclyde
Glasgow, United Kingdom
1 h-index
1 publications
30 citations
IPAG Business School
Paris, France
1 h-index
1 publications
28 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
1 publications
28 citations
Cardiff University
Cardiff, United Kingdom
1 h-index
1 publications
30 citations
Ecolab (United States)
Saint Paul, United States
1 h-index
1 publications
30 citations
Université Paris 8
Paris, France
1 h-index
1 publications
28 citations

University of Stirling
Stirling, United Kingdom
1 h-index
1 publications
30 citations

Scuola Superiore Sant'Anna
Pisa, Italy
1 h-index
2 publications
28 citations
1–8 of 14
EBER · 1 publications · 35 citations
1
h-index
1 publications · 28 citations
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IJOA · 1 publications · 14 citations
1
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1 publications · 30 citations
1
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1–4