Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Series Vol. 29 , 10 November 2023
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With the rapid rise of platform-based enterprises in the digital economy, particularly in the post-epidemic era, online sales have become the primary sales channel for trendy goods. Many platform-based enterprises that combine community and e-commerce attributes have flourished. This paper examines the network effect of community e-commerce platforms in the trend industry, using Poizon as a case study. The success of Poizon provides valuable insights for similar enterprises, and network effects are one of the keys to its success. How-ever, Poizon still faces some challenges, which are analyzed from the perspective of net-work effects, and corresponding solutions are proposed. Chapter two provides an overview of network effects in the network platform economy, while chapter three analyzes the net-work effect of Poizon as a power-flow community e-commerce platform. Finally, chapter four concludes the paper.
network effects, platform differentiation, trend community e-commerce, Poizon
1. Sun, H., Xu, J.: Research on business models of platform enterprises in the context of the digital economy - taking Poizon as an example. Operations and management 04, 19-24 (2022).
2. Cheng, L., Chiang Y.: Research on SWOT analysis and development strategy of fashion brand marketing-taking the horizon platform as an example. Arts 05, 82-85 (2022).
3. Wang, Q. An analysis of the development of mobile social e-commerce in China. Industry and Technology Forum 5, 29-30 (2013).
4. Wan, Y., Ning, T., Liu, Y., Gao, J.: A study on the difference of the influence of the second-hand e-commerce community on the transaction intention of the buyer and seller: from the perspective of social telepresence. Journal of Beijing University of Posts and Telecommunications Science 23(06), 45-54 (2021).
5. Li, F., Yin, H.: Study the distribution of marketing resources considering network effect. Industrial Engineering and Management 27(01), 30-39 (2022).
6. Grossmann, M., Lang, M., DIET, H.: A dynamic contest model of platform competition in two-sided markets. Journal of Theoretical and Applied Electronic Commerce Research 16(06), 2091-2109 (2021).
7. Lin, Y., Yang, C., Cai, X.: Digital transformation of enterprises and upgrading of Green Innovation Capability - an analysis based on the network effect. Journal of modern Tianjin University of Finance and Economics economics 43(02), 3-19 (2023).
8. Du, H., Teng, Y., Wang, R.: E-commerce trading platform value co-creation configuration research: Qualitative comparative analysis of term fuzzy sets. Social Scientist 12, (2020).
9. Liu, Z., Li, Y.: Value co-creation analysis of community e-commerce platform supply chain. Journal of Hebei University of Science and Technology 21(03), 44-53 (2021).
10. Liu, Y.: A study on the impact of User-generated content on consumer shopping behavior in community e-commerce platforms. Central China Normal University, (2022).
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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