Pricing Decisions in Live Streaming E-Commerce Supply Chains Under the Scarcity Effect
DOI:
https://doi.org/10.54097/j5afx583Keywords:
Live streaming e-commerce; Supply chain management; Scarcity strategy; Traffic empowerment; Stackelberg game.Abstract
Despite being a prevalent scarcity marketing strategy in live streaming e-commerce, limited-release sales still lack rigorous theoretical elucidation regarding their underlying supply chain coordination and pricing mechanisms. This paper constructs a three-echelon supply chain game model comprising a brand, a live streamer (either an in-house employee or an external influencer), and a live streaming platform to systematically analyze the impacts of scarcity strategies (supply ratio control) and traffic empowerment on operation mode selection. We identify three channel structures: the pure in-house streaming model (Model R), the pure influencer streaming model (Model A), and the dual-channel streaming model (Model D). Our findings reveal that the scarcity strategy affects the equilibrium through a dual pathway of "willingness-to-pay amplification" and "physical supply restriction." The centralization of pricing power with the influencer streamer mitigates coordination failure but exacerbates double marginalization, prompting the brand to implement aggressive supply rationing as a hedging mechanism. When dual channels coexist, a subtle trade-off emerges between the inter-channel demand spillover effect and the self-cannibalization effect, leading to pricing suppression and asymmetric scarcity allocation. Furthermore, platform traffic allocation exhibits a strong scarcity preference, creating a positive feedback loop with brand supply restrictions. The theoretical analysis provides a systematic decision-making framework for understanding operation mode selection in live streaming e-commerce.
Downloads
References
[1] C. Wang, J. Sun, and S. Shi, ‘Research on sales mode selection and live-streaming marketing strategies in e-commerce platforms’, J. Ind. Eng. Eng. Manag., vol. 37, no. 5, pp. 190–199, 2023, doi: 10.13587/j.cnki.jieem.2023.05.016.
[2] X. Liang and L. Liang, ‘Pricing Policy and Channel Selection of Manufacturer Considering Channel Operating Cost Difference’, Ind. Eng. J., vol. 24, no. 2, pp. 1–9, 2021, doi: 10.3969/j.issn.1007-7375.2021.02.001.
[3] J. Dong, Z. Guan, T. Yu, and Y. Mou, ‘Decision-making and coordination of dual-channel supply chains considering influencer live-streaming sales’, J. J. Ind. Eng. Eng. Manag., vol. 39, no. 6, pp. 282–296, 2025, doi: 10.13587/j.cnki.jieem.2025.06.020.
[4] S. Bai, Y. Xu, H. He, and D. Yu, ‘Under the context of competition between platform sales and live streaming sales, who has the pricing power of products?’, Humanit. Soc. Sci. Commun., vol. 11, no. 1, pp. 1–20, 2024.
[5] Q. Wang and P. Wu, ‘Analysis of Netflix Live Streaming Pricing Strategy Considering the Role of Traffic Attraction and Pricing Rights’, Sci. Technol. Ind., vol. 23, no. 2, pp. 14–23, 2023, doi: 10.3969/j.issn.1671-1807.2023.02.004.
[6] Y. Yu, L. Sun, and X. Guo,Guo, -channel decision in a shopping complex when considering consumer channel preference’, J. Oper. Res. Soc., vol. 71, no. 10, pp. 1638–1656, 2020, doi: 10.1080/01605682.2019.1621221.
[7] Y. Zennyo‘Strategic contracting and hybrid use of agency and wholesale contracts in e-commerce platforms’, Eur. J. Oper. Res., vol. 281, no. 1, pp. 231–239, 2020, doi: https://doi.org/10.1016/j.ejor.2019.08.026.
[8] L. Peng, Y. Liu, Z. Zou, and M. Liu, Choice of Coordination Contracts in Live Streaming Supply Chain Considering Streamer Reputation’, Comput. Eng. Appl., vol. 59, no. 11, pp. 251–262, 2023, doi: 10.3778/j.issn.1002-8331.2210-0024.
[9] H. Wang and Z. Gong, ‘Agricultural Products Supply Chain:Analysis Based on Different Government Subsidy Models’, Supply Chain Manag., vol. 3, no. 4, pp. 46–55, 2022.
[10] S. Zheng, D. Su, S. Wang, and W. Shang, ‘Research on revenue sharing model of tipping on live-streaming platforms’, Syst. Eng. — Theory Pract., no. 5, pp. 1221–1228, 2020, doi: 10.12011/1000-6788-2018-2200-08.
[11] S. Huang, Y. Gao, and Y. Wang, ‘Supply chain channel structure with online platform and dual-purpose firms’, Transp. Res. Part E Logist. Transp. Rev., vol. 180, p. 103363, 2023, doi: https://doi.org/10.1016/j.tre.2023.103363.
[12] T. C. Brock, ‘Implications of Commodity Theory for Value Change’, in Psychological Foundations of Attitudes Publisher: Academic Press, A. G. Greenwald, T. C. Brock, and T. M. Ostrom, Eds., in Psychological Foundations of Attitudes Publisher: Academic Press., New York, 1968, pp. 243–275.
[13] C. R. Snyder and H. L. Fromkin, Uniqueness, the human pursuit of difference’, 1980. [Online]. Available: https://api.semanticscholar.org/CorpusID:118713940
[14] S. S. Brehm and J. W. Brehm, Psychological Reactance: A Theory of Freedom and Control. 1981.
[15] A. Stock and S. Balachander, ‘The Making of a “Hot Product”: A Signaling Explanation of Marketers’ Scarcity Strategy’, Manag Sci, vol. 51, pp. 1181–1192, 2005.
[16] G. P. Cachon, S. Gallino, and M. Olivares, ‘Does Adding Inventory Increase Sales? Evidence of a Scarcity Effect in U.S. Automobile Dealerships’, Manag. Sci., vol. 65, no. 4, pp. 1469–1485, 2019, doi: 10.1287/mnsc.2017.3014.
[17] N. Jiang, Q. Guo, F. Gu, and M. Lyu, ‘The Impact of Product Scarcity on Impulse Purchase Intention in Live Streaming Shopping Context:The Moderating Effect of Characteristics of Live Streaming Platform and Anchor’, Ind. Eng. Manag., vol. 28, no. 4, pp. 1–8, 2023, doi: 10.19495/j.cnki.1007-5429.2023.04.001.
[18] D. Li and J. Liu, Liu, ual Mediation Model of Products’ Scarcity Appeal on Consumers’ Willingness to Purchase’, J. Manag. Sci., vol. 29, no. 3, pp. 81–96, 2016, doi: 10.3969/j.issn.1672-0334.2016.03.008.
[19] S. Cai, S. Li, and B. Zhang, ‘Manufacturer′s livestreaming strategy considering scarcity effect and consumer segmentation’, J. Ind. Eng. Eng. Manag., vol. 37, no. 4, pp. 222–232, 2023, doi: 10.13587/j.cnki.jieem.2023.04.019.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Highlights in Business, Economics and Management

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







