A Stackelberg game analysis of livestreaming sales and product returns in e-commerce
Many enterprises selling products on e-commerce platforms have adopted livestreaming to increase sales volume. A high return rate, caused by an exaggerated presentation of the products, can overwhelm the supply chain. Livestreaming considering the product return issue has received little attention in the academic literature. Building on the existing knowledge of the traditional e-commerce sales model, a Stackelberg game model led by an apparel enterprise is established to study livestreaming as a new sales strategy, considering the return rates, the livestreaming anchors’ commission, and the products’ diminishing time-value. A comparative analysis investigates whether the livestreaming sales model increases profitability, considering that some products may be returned. The results show that the return rate has a meaningfully different impact on the optimal price and sales volume of both the apparel enterprise and the third-party liquidation seller. In livestreaming sales, if the commission charged by the anchor passes a certain threshold, the apparel enterprise’s profit will be less than its traditional e-commerce profit, even with a low return rate. It is also found that a higher diminishing time-value coefficient of apparel may correspond to lower pricing by the third-party liquidation seller. • Analyze the impact of livestreaming sales on pricing, sales volume, and profitability, considering product returns. • Evaluate how the return rate influences the strategic choice between traditional e-commerce and livestreaming sales. • Examine the role of livestreaming anchor commission fees in determining apparel enterprise profitability. • Investigate how the diminishing time value of apparel affects pricing by third-party liquidation sellers. • Recommend adaptive pricing and marketing strategies for apparel enterprises to optimize sales and inventory management.
Authors
- Pourya Pourhejazy (ORCID: https://orcid.org/0000-0002-1207-3587)
- Wei Fangfang (ORCID: https://orcid.org/0000-0002-4238-6971)
- Hao Hao (ORCID: https://orcid.org/0009-0001-1295-4501)
- Zhaoran Xu (ORCID: https://orcid.org/0000-0003-0682-2921)
Institutions
- Shanghai Polytechnic University (CN)
- UiT The Arctic University of Norway (NO)
Publication Details
- Journal
- Decision Analytics Journal
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1016/j.dajour.2025.100578
- Citations
- 1
- Primary Topic
- Consumer Market Behavior and Pricing
- Type
- article
- Field-Weighted Citation Impact
- 2.07