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Retailers’ optimal ordering policies for a dual-sourcing procurement

Authors :
Xinsheng Xu
Ping Ji
Felix T.S. Chan
Source :
Industrial Management & Data Systems. 123:1052-1072
Publication Year :
2023
Publisher :
Emerald, 2023.

Abstract

PurposeOptimal ordering decision for a retailer in a dual-sourcing procurement is an important research area. The main purpose of this paper is to explore a loss-averse retailer’s ordering decision in a dual-sourcing problem.Design/methodology/approachFor a loss-averse retailer, the study obtains the optimal ordering decision to maximize expected utility. Based on sensitivity analysis, the properties of the optimal ordering decision are well discussed.FindingsUnder the optimal ordering quantity that maximizes expected loss aversion utility, the relevant expected profit of a retailer turns to be smaller under a bigger loss aversion coefficient. For this point, a retailer needs to balance between expected loss aversion utility maximization and expected profit maximization in deciding the optimal ordering policy in a dual-sourcing problem.Originality/valueThis paper reveals the influence of loss aversion on a retailer’s ordering decision in a dual-sourcing problem. Managerial insights are suggested to devise the optimal ordering policy for retailers in practice.

Details

ISSN :
02635577
Volume :
123
Database :
OpenAIRE
Journal :
Industrial Management & Data Systems
Accession number :
edsair.doi...........6a785cf2b88e7ac32aa748c120255852