详细信息
The strategic matching between manufacturers and streamers in live-streaming e-commerce ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:The strategic matching between manufacturers and streamers in live-streaming e-commerce
作者:Xin, Yucheng[1];Fan, Tijun[1,2];Xia, Haiyang[1,2]
机构:[1]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Operat & Supply Chain Management, Shanghai, Peoples R China
年份:2026
起止页码:1.0
外文期刊名:INDUSTRIAL MANAGEMENT & DATA SYSTEMS
收录:;Scopus(收录号:2-s2.0-105047893799);WOS:【SCI-EXPANDED(收录号:WOS:001817421900001)】;
基金:This work was supported by National Natural Science Foundation of China (award number: 72442009) and National Social Science Fund of China (award number: 23VRC051).
语种:英文
外文关键词:Live-streaming; Game theory; Pricing strategy
摘要:Purpose-This paper investigates how manufacturers with different market bases should strategically match with a high- or low-influence streamer in live-streaming e-commerce. It aims to reveal how horizontal asymmetry in market size and vertical asymmetry in pricing power jointly shape optimal cooperation strategies and profit outcomes. Design/methodology/approach-A game-theoretic model is developed featuring two asymmetric manufacturers choosing between two types of streamers. Four cooperation scenarios are analyzed under a two-stage game structure, where the pricing party differs based on streamer influence. Closed-form equilibrium are derived under linear demand. Optimal prices and profits are compared across different scenarios. Findings-Our analysis shows that the equilibrium price when cooperating with a high-influence streamer is higher than the price when cooperating with a low-influence streamer. Moreover, the large manufacturer does not always charge higher than the small manufacturer. Manufacturers' strategic cooperation choices depend on the commission rate of the high-influence streamer and the relative influence gap between the two streamers. When the rate is low and the gap is large, both manufacturers prefer the high-influence streamer. As the commission rate increases or the influence gap narrows, manufacturers begin to shift to the low-influence streamer based on cost-benefit trade-offs. Originality/value-This study offers a novel framework integrating dual asymmetries (market base and pricing power) into the live-streaming supply chain literature. It provides strategic insights for manufacturers on effective streamer collaboration and pricing delegation in digital retail environments.
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