Exploring E-Commerce Live-Streaming Strategy in China
DOI:
https://doi.org/10.61173/rb9bhh72Keywords:
Live streaming e-commerce, brand marketing strategy, consumer behavior, technology, anchor characteristicsAbstract
This article conducts a comprehensive analysis of the most cutting-edge topics in live-streaming e-commerce by reviewing 15 studies published between 2019 and 2024. The research is organized around four core areas of inquiry: live-streaming e-commerce modes and strategies, user participation and behavior, brand marketing and platform strategy, and technology application and influence. The review demonstrates the influence of diverse sales modes, including self-operation and third-party live streaming, on market competition and consumer engagement. Furthermore, the analysis identifies the influence of several key factors on consumer purchasing behavior, the strategic approaches adopted by manufacturers in integrating live-streaming channels, and the implications of AI and blockchain technologies in live-streaming commerce. The findings emphasize the significance of context-specific strategies in optimizing live-streaming e-commerce. They suggest that the successful integration of these technologies and strategies can lead to enhanced consumer engagement, augmented brand visibility, and improved overall market performance. Nevertheless, the study also identifies potential challenges and limitations, including the unpredictability of real-world market dynamics and the risk of reduced innovation in algorithm-driven economies.
References
[1] Market Size of Live Streaming E-commerce in China from 2019 to 2023 with Estimates Until 2026, 2024.
[2] Yang L., Zheng C., & Hao C. Optimal Platform Sales Mode in Live Streaming Commerce Supply Chains. Electronic Commerce Research, 2024, 24, 1017-1070.
[3] Xu Y., Qi J., Kong J., & Zhang W. Strategic Decision Making in Live Streaming E-commerce Through Tripartite Evolutionary Game Analysis. PLOS ONE, 2024, 19(7): e0305427.
[4] Wang S., & Wang J. The Live-Streaming E-commerce Mode Selection Under Competition: Self-Run or Third-Party? Electronic Commerce Research, 2023.
[5] Du Z., et al. Open the Live Streaming Sales Channel or Not? Analysis of Strategic Decision for a Manufacturer. Annals of Operations Research, 2023.
[6] Wan Q., et al. Optimal Marketing Strategies for Live Streaming Rooms in Livestream E-commerce. Electronic Commerce Research, 2024.
[7] Tao M., et al. Get Ready to Buy With Me: The Effect of Social Presence Interaction and Social Commerce Intention on S-commerce Live Streaming. Sage Open, 2024, 14(1).
[8] Jiao Y., et al. How Streamers Foster Consumer Stickiness in Live Streaming Sales. Journal of Theoretical and Applied Electronic Commerce Research, 2023, 18(3): 1196-1216.
[9] He D., et al. Impacts of Different Interactions on Viewers’ Sense of Virtual Community: An Empirical Study of Live Streaming Platform. Behavior & Information Technology, 2022, 42(7): 940-960.
[10] Wang X., & Cao S. Harnessing the Stream: Algorithmic Imaginary and Coping Strategies for Live-Streaming E-commerce Entrepreneurs on Douyin. Journal of Chinese Sociology, 2024, 11, 9.
[11] Yu W. Research on the Problems and Strategies of Live- Streaming E-commerce on the Douyin Platform in China. Highlights in Business, Economics and Management, 2023, 23, 762-769.
[12] Huang Y., & Ye W. ‘Traffic Rewards’, ‘Algorithmic Visibility’, and ‘Advertiser Satisfaction’: How Chinese Short- Video Platforms Cultivate Creators in Stages. Convergence, 2024, 30(1): 659-682.
[13] Xu Y., & Ruan Y. AI and Human Broadcasters: Relative Impact on Consumer Engagement in Live Streaming Commerce. Electronic Commerce Research and Applications, 2023, 62, 101335.
[14] Liu G., & Li Z. Selection of Livestreaming Mode: Impacts of Blockchain Technology. International Journal of Industrial Engineering Computations, 2024, 15(3): 645-666.
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