Optimal Design Of Return Policies
Keywords
Channel management; Inventory stocking and pricing decisions; Return policy
Abstract
Quota-based and partial-refund return policies abound in practice between manufacturers and their resellers. While the literature has provided insights into the design of the partial-refund policy, little attention has been directed at the design of the quota-based return policy. Accordingly, this paper explores the relative preference of a quota-based policy vis-à-vis a partial-refund policy. We do this, first, in the context of risk-neutral channel partners to identify the strategic decisions of each party and the effect of demand uncertainty on the variation of their respective profits. Our results reveal that the manufacturer faces higher profit variation (between the different demand realizations) under the quota policy. The variance in profits for the reseller is, however, higher under the partial-refund policy. We explain the source of profit variations by comparing it across different channel structures (centralized and decentralized). Next, we formally extend the model to include a disutility associated with profit variation and show that when the manufacturer has a variation-induced disutility, the partial-refund contract should be used, as it is the dominating contract. Similarly, when the retailer has a variation-induced disutility, the quota contract should be used. This is consistent with the pattern of profit variations in the risk-neutral case where the manufacturer has lower variation with the partial-refund contract while the reseller has lower variation with the quota contract. Finally, our analysis also shows how the manufacturer may employ a combination policy to better manage its own profit variation while providing adequate overstocking protection for the reseller.
Publication Date
7-1-2018
Publication Title
Marketing Science
Volume
37
Issue
4
Number of Pages
649-667
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1287/mksc.2018.1094
Copyright Status
Unknown
Socpus ID
85056332708 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85056332708
STARS Citation
Tran, Thanh; Gurnani, Haresh; and Desiraju, Ramarao, "Optimal Design Of Return Policies" (2018). Scopus Export 2015-2019. 10201.
https://stars.library.ucf.edu/scopus2015/10201