Cooperation mode selection of competitive brands in the live streaming E-commerce supply chain with information sharing and traffic investment

Brand self-live streaming and influential streamer live streaming are two typical cooperation modes in the live streaming e-commerce supply chain. When an incumbent brand dominates the market, a competitive brand merchant that seeks to enter new markets through a live streaming e-commerce platform must carefully choose its cooperation mode. To address this challenge, this study develops a three-party Stackelberg game model involving a competitive brand merchant, an incumbent brand merchant, and a platform with an advantage in demand information. The model examines how information sharing and traffic investment affect cooperation mode selection. The results show that: (1) Traffic cost and commission rate are the core constraints of cooperation mode choice. Influential streamer live streaming dominates under low traffic cost, while brand self-live streaming provides stronger control under high commission rates. (2) Platform information sharing exhibits mode dependence. Under brand self-live streaming, the platform has a persistent incentive to share demand information. (3) Supply chain members achieve win–win outcomes under different conditions. At low (high) traffic cost, influential streamer live streaming (brand self-live streaming) is superior. (4) Overall supply chain efficiency varies across contexts. At moderate traffic cost, brand self-live streaming performs better, whereas low traffic cost with an appropriate commission rate favors influential streamer live streaming.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-04-15
DOI
https://doi.org/10.1057/s41599-026-07251-7
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Cooperation mode selection of competitive brands in the live streaming E-commerce supply chain with information sharing and traffic investment

Aimin Zhu, Dai Mu, Lijuan Yu, Huan Wang
Humanities and Social Sciences Communications
Supply Chain and Inventory Management
article

Cooperation mode selection of competitive brands in the live streaming E-commerce supply chain with information sharing and traffic investment

Aimin Zhu, Dai Mu, Lijuan Yu, Huan Wang
article en

Abstract

Brand self-live streaming and influential streamer live streaming are two typical cooperation modes in the live streaming e-commerce supply chain. When an incumbent brand dominates the market, a competitive brand merchant that seeks to enter new markets through a live streaming e-commerce platform must carefully choose its cooperation mode. To address this challenge, this study develops a three-party Stackelberg game model involving a competitive brand merchant, an incumbent brand merchant, and a platform with an advantage in demand information. The model examines how information sharing and traffic investment affect cooperation mode selection. The results show that: (1) Traffic cost and commission rate are the core constraints of cooperation mode choice. Influential streamer live streaming dominates under low traffic cost, while brand self-live streaming provides stronger control under high commission rates. (2) Platform information sharing exhibits mode dependence. Under brand self-live streaming, the platform has a persistent incentive to share demand information. (3) Supply chain members achieve win–win outcomes under different conditions. At low (high) traffic cost, influential streamer live streaming (brand self-live streaming) is superior. (4) Overall supply chain efficiency varies across contexts. At moderate traffic cost, brand self-live streaming performs better, whereas low traffic cost with an appropriate commission rate favors influential streamer live streaming.

Humanities and Social Sciences Communications
Shenyang University of Technology (CN), Shenyang Academy of Environmental Sciences (China) (CN)
National Social Science Fund of China
Partnerships for the goals
Openalex Percentile: Top 4%
Supply Chain and Inventory Management
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