Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/120456
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dc.contributorDepartment of Management and Marketingen_US
dc.creatorHuang, Wen_US
dc.creatorJiang, Wen_US
dc.creatorLuo, Xen_US
dc.creatorMei, Xen_US
dc.creatorWei, Len_US
dc.date.accessioned2026-08-14T02:29:32Z-
dc.date.available2026-08-14T02:29:32Z-
dc.identifier.issn1059-1478en_US
dc.identifier.urihttp://hdl.handle.net/10397/120456-
dc.language.isoenen_US
dc.publisherSage Publications, Inc.en_US
dc.rightsThis is the accepted version of the publication Huang, W., Jiang, W., Luo, X., Mei, X., & Wei, L. (2026). It’s Showtime: Live-Streaming E-commerce and Optimal Promotion Insertion Policy. Production and Operations Management, 35(2), 434-450. Copyright © 2024 The Author(s). DOI:10.1177/10591478231224975.en_US
dc.subjectGeometric Brownian motionen_US
dc.subjectLive-streaming e-commerceen_US
dc.subjectPromotion planningen_US
dc.subjectSocial technologyen_US
dc.titleIt’s showtime : live-streaming e-commerce and optimal promotion insertion policyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage434en_US
dc.identifier.epage450en_US
dc.identifier.volume35en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1177/10591478231224975en_US
dcterms.abstractLive-streaming e-commerce has gained tremendous success as a new form of business model over the past few years. Nevertheless, there has been scarce research examining the effect of exogenous stimulus-driven factors (i.e., social cues such as promotion coupons) on the profit of the live-streaming platform. We model the continuous evolvement of the aggregate viewer involvement level with geometric Brownian motion and investigate the optimal timing and depth of promotion insertion policy. Our findings reveal that the optimal promotion insertion policy for the live-streaming room is a threshold policy that consists of a start-to-promote threshold and an involvement target when the trend of the aggregate involvement level is not large and the promotion cost is not high. Under some scenarios, the promotion planning process is constrained by various business rules, such as the promotion depth being limited by a discrete set (e.g., integral multiples of D). Although this problem involves more complex constraints, we analytically show that a variation of the abovementioned threshold policy is the optimal strategy among all feasible policies, i.e., when the aggregate viewer involvement drops below a certain level (P), the live-streaming host promotes with the depth of the least integral multiple of D to raise the viewer involvement level above P. Finally, to examine the effectiveness of our proposed policy, we compare it with prevalent industry practices. The result shows that the proposed promotion insertion policy outperforms prevailing ones significantly in generating profit for the live-streaming room.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProduction and operations management, Feb. 2026, v. 35, no. 2, p. 434-450en_US
dcterms.isPartOfProduction and operations managementen_US
dcterms.issued2026-02-
dc.identifier.scopus2-s2.0-85197472241-
dc.identifier.eissn1937-5956en_US
dc.description.validate202608 bcjzen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG002285/2026-05-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe authors received the following financial support for the research, authorship and/or publication of this article: Wenpo Huang, Wei Jiang and Xinggang Luo jointly received financial support from the National Science Foundation of China [Grant 71831006]. Xinggang Luo also received financial support from the National Science Foundation of China [Grants 72371086 and 71771070]. Wenpo Huang also received financial support from the National Science Foundation of China [Grants 72171064], the Humanities and Social Science Fund of Ministry of Education of the People’s Republic of China [Grant 20YJC910006], and the Zhejiang Provincial Natural Science Foundation of China [Grant LZ20G010001]. Lai Wei received financial support from the National Science Foundation of China [Grants 72122013, 71801151, 72221001, 72192830 and 72192833].en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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