Data from: Debiasing a decision maker facing supply uncertainties in a newsvendor setting

This is the underlying dataset for the PhD dissertation: Debiasing a decision maker facing supply uncertainties in a newsvendor setting, available at: https://ink.library.smu.edu.sg/etd_coll/347/<br>Companies must be prepared to manage uncontrollable events that will disrupt their supply chain and add uncertainty to their inventory models.<br>This thesis first studies the effect of different types of supply disruption risks on the ordering performance of profit-maximizing decision makers in a newsvendor setting.<br>Then, this thesis aims at extending the literature on the newsvendor model in studying the effect of a Decision Support System and the effect of a Secondary Task on the ordering performance of profit-maximizing decision makers who face supply uncertainties in a newsvendor setting.<br>Finally, implications for scholars and practitioners are discussed.<br>