Debiasing a decision maker facing supply uncertainties in a newsvendor setting

Companies must be prepared to manage uncontrollable events that will disrupt their supply chain and add uncertainty to their inventory models. This thesis first studies the effect of different types of supply disruption risks on the ordering performance of profit-maximizing decision makers in a news...

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Bibliographic Details
Main Author: ZELLER, Alan William
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Online Access:https://ink.library.smu.edu.sg/etd_coll/347
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1346&context=etd_coll
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Institution: Singapore Management University
Language: English
Description
Summary:Companies must be prepared to manage uncontrollable events that will disrupt their supply chain and add uncertainty to their inventory models. 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. 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. Finally, implications for scholars and practitioners are discussed.