Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114582
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorLiu, Yen_US
dc.creatorChen, XAen_US
dc.creatorLiu, Yen_US
dc.creatorWang, Zen_US
dc.date.accessioned2025-08-12T08:02:07Z-
dc.date.available2025-08-12T08:02:07Z-
dc.identifier.citationv. 27, no. 3, p. 825-842-
dc.identifier.issn1523-4614en_US
dc.identifier.otherv. 27, no. 3, p. 825-842-
dc.identifier.urihttp://hdl.handle.net/10397/114582-
dc.language.isoenen_US
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)en_US
dc.rightsCopyright: © 2025 INFORMSen_US
dc.rightsThis is the accepted manuscript of the following article: Yicheng Liu, Xiao Alison Chen, Yan Liu, Zizhuo Wang (2025) Simultaneous vs. Sequential: Optimal Assortment Recommendation in Multistore Retailing. Manufacturing & Service Operations Management 27(3):825-842, which has been published in final form at https://doi.org/10.1287/msom.2024.0761.en_US
dc.subjectAssortment optimizationen_US
dc.subjectMultistore retailingen_US
dc.subjectSimultaneous/sequential offering strategyen_US
dc.titleSimultaneous vs. sequential : optimal assortment recommendation in multistore retailingen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author's file: Simultaneous vs Sequential: Optimal Assortment Recommendation in Multi-Store Retailingen_US
dc.identifier.spage825en_US
dc.identifier.epage842en_US
dc.identifier.volume27en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1287/msom.2024.0761en_US
dcterms.abstractProblem definition: We study a multistore assortment planning problem in which a seller centrally decides the assortment of products in each store. Each store is visited by a certain fraction of customers. Upon arrival, customers observe the products offered in the current store. The seller can either (1) show products offered in other stores to customers simultaneously (called simultaneous offering strategy) or (2) show products offered in other stores to customers if they decide not to purchase in the current store (called sequential offering strategy). Customers may incur a disutility if they choose products from other stores. We study the optimal assortment planning problem under each of the two strategies and compare their performance. Methodology/results: We show that under the simultaneous strategy, the optimal assortment for each store is revenue-ordered, and the seller cannot do better than if it operates each store separately. In contrast, adopting the sequential strategy can significantly increase the seller’s revenue. In particular, when customers’ disutilities of purchasing from other stores are universally homogeneous, the optimal assortment under the sequential offering strategy is revenue-ordered for each store, and the store with a lower (higher, respectively) demand should offer a larger (smaller, respectively) assortment to facilitate the sequential selling process. We then compare the two offering strategies in terms of the seller’s revenue and customer surplus, and we analyze the impact of parameters on the revenue comparison. We also consider several extensions (e.g., heterogeneous valuation, capacity constraint, and partial recommendation) and find that our main results still hold qualitatively. Managerial implications: The sequential offering strategy may be a better strategy for sellers in practice. We provide detailed guidelines for sellers to implement the sequential strategy, such as regarding the optimal assortment decisions and when sellers can exploit the most benefits.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationManufacturing and service operations management, May-June 2025, v. 27, no. 3, p. 825-842en_US
dcterms.isPartOfManufacturing and service operations managementen_US
dcterms.issued2025-05-
dc.identifier.eissn1526-5498en_US
dc.description.validate202508 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera3978-
dc.identifier.SubFormID51862-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextYan Liu was supported by the National Natural Science Foundation of China [Grants 72293564/72293560]. Z. Wang was supported by the National Natural Science Foundation of China [Grants 72394361 and 72425013] and the Guangdong Key Lab of Mathematical Foundations for Artificial Intelligence [Grant 2023B1212010001].en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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