Strategic Workforce Planning Under Uncertainty

<jats:p> A new study in the INFORMS journal Operations Research proposes a data-driven model for conducting strategic workforce planning in organizations. The model optimizes for recruitment and promotions by balancing the risks of not meeting headcount, budget, and productivity constraints, w...

Full description

Bibliographic Details
Main Authors: Jaillet, Patrick (Author), Loke, Gar Goei (Author), Sim, Melvyn (Author)
Format: Article
Language:English
Published: Institute for Operations Research and the Management Sciences (INFORMS), 2022-07-13T15:24:00Z.
Subjects:
Online Access:Get fulltext
LEADER 01143 am a22001813u 4500
001 143705
042 |a dc 
100 1 0 |a Jaillet, Patrick  |e author 
700 1 0 |a Loke, Gar Goei  |e author 
700 1 0 |a Sim, Melvyn  |e author 
245 0 0 |a Strategic Workforce Planning Under Uncertainty 
260 |b Institute for Operations Research and the Management Sciences (INFORMS),   |c 2022-07-13T15:24:00Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/143705 
520 |a <jats:p> A new study in the INFORMS journal Operations Research proposes a data-driven model for conducting strategic workforce planning in organizations. The model optimizes for recruitment and promotions by balancing the risks of not meeting headcount, budget, and productivity constraints, while keeping within a prescribed organizational structure. Analysis using the model indicates that there are increased workforce risks faced by organizations that are not in a state of growth or organizations that face limitations to organizational renewal (such as bureaucracies). </jats:p> 
546 |a en 
655 7 |a Article 
773 |t 10.1287/OPRE.2021.2183 
773 |t Operations Research