Strategic Workforce Planning Under Uncertainty
提出数据驱动模型，优化招聘与晋升决策，平衡人员编制、预算和生产力约束，发现非增长或官僚化组织面临更高劳动力风险。
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).