Abstract

E-commerce live streaming can considerably help brands improve sales dynamics, but it is multiple dilemmas in choosing suitable e-commerce live streaming product showcasing modes. To address the multiple dilemmas, we first employ the Stackelberg game to depict three e-commerce live streaming product showcasing modes: brand self-live streaming, influencer-led live streaming mixture, and influencer-led special live streaming. Second, we analyze the relationship between choices and game parameters, including live streaming stimulus sensitivity, unit service quality improvement cost, and service sensitivity. Meanwhile, through the comparative analysis of the three modes, we get the optimal threshold of each mode. Last, we conduct a case study comparing Chinese apparel and accessories brands Hodo and RUANS to verify the above relations. The results suggest that: (i) the more sensitive consumers are to live streaming stimulus, the more beneficial it is for the brand manufacturer to employ special live streaming, while the increase in unit service quality improvement cost will harm the brand manufacturer; (ii) the fixed participation fee determines the choice of e-commerce live streaming product showcasing modes; (iii) e-commerce live streaming product showcasing modes can help brands to optimize their decision-making.

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