PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 17, 2026Humanities and Social Sciences Communications2 citationsOpen Access

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

HWHuan WangShenyang University of TechnologyAZAimin ZhuShenyang University of TechnologyLYLijuan YuShenyang University of Technology

Key Points

  • The study aims to determine how competitive brands select cooperation modes in live streaming e-commerce, considering information sharing and traffic costs.
  • Developed a three-party Stackelberg game model
  • Involved a competitive brand merchant, an incumbent brand merchant, and a platform
  • Examined the effects of information sharing and traffic investment on cooperation mode selection
  • Traffic cost and commission rate are key factors in mode choice
  • Influential streamer live streaming is preferred under low traffic costs
  • Brand self-live streaming offers better control at high commission rates
  • Different conditions lead to varying supply chain efficiency

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69e1cf625cdc762e9d8584fdhttps://doi.org/10.1057/s41599-026-07251-7
Ask AI
Helpful
Bookmark
Share
View Full Paper