User Transfer Behavior in Live Streaming Social Media

Yide He

doi:10.47297/wspceWSP2516-251910.20240802

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User Transfer Behavior in Live Streaming Social Media

8卷第2期

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User Transfer Behavior in Live Streaming Social Media
User Transfer Behavior in Live Streaming Social Media
E-Commerce in Jiangsu,P.R. China
2024年8卷第2期页码：69-74
纸质出版日期： 2024-08-29 ，
DOI：10.47297/wspceWSP2516-251910.20240802
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(2024). User Transfer Behavior in Live Streaming Social Media. 创意经济（英文版）, 8(2), 69-74.

He Yide.User Transfer Behavior in Live Streaming Social Media[J].Creative Economy,2024,08(02):69-74.
(2024). User Transfer Behavior in Live Streaming Social Media. 创意经济（英文版）, 8(2), 69-74. DOI： 10.47297/wspceWSP2516-251910.20240802.

He Yide.User Transfer Behavior in Live Streaming Social Media[J].Creative Economy,2024,08(02):69-74. DOI： 10.47297/wspceWSP2516-251910.20240802.

摘要

Abstract

This study delved into the intricate dynamics of user transfer behavior within the realm of live streaming social media e-commerce in Jiangsu

China

meticulously examining user profiles and their corresponding transfer behaviors. It sheds light on the multifaceted factors influencing users' engagement with various platforms

paying particular attention to their perceptions and the challenges they encounter in this digital landscape.Participants

categorized based on diverse profile variables

provide a comprehensive understanding of their user transfer behavior and its utilization in the context of e-commerce. The pivotal aim of this research is to craft actionable strategies addressing the complexities and challenges prevalent in the live streaming social media e- commerce sector in Jiangsu.This exploration not only contributes to a deeper understanding of the current state of e-commerce but also serves as a guide for developing more user-centric platforms and strategies in the rapidly evolving world of digital commerce.

关键词

Keywords

E-CommerceLiveStreamingUserTransfer behaviorSocial media

references

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Research Consulting Group. (2021). China's Live Streaming E-commerce Industry Research Report 2021. Retrieved from https://report.iresearch.cn/report/202109/3841.shtmlhttps://report.iresearch.cn/report/202109/3841.shtml.

Jeong U., Nirmal A., Jha K., Tang X., Bernard H. R., & Liu H. (2023). User Migration across Multiple Social Media Platforms. arXiv preprint arXiv:2309.12613. Retrieved from https://arxiv.org/pdf/2309.12613https://arxiv.org/pdf/2309.12613.

Tan Z., Zhang S., Hong N., Kuang K., Yu Y., Yu J., Zhao Z., Yang H., Pan S., Zhou J., & Wu F. (2022). Uncovering causal effects of online short videos on consumer behaviors. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM '22) (pp. 997–1006). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498513https://doi.org/10.1145/3488560.3498513.

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Wu D., Li X., & Fang Z.(2021).The impact of brand reputation on consumers' purchase intentions in live streaming e-commerce. Journal of Business Research, 123, 549-559.

Wu L., Chen Y., & Li C. (2020). Celebrity endorsement in social media: Its effect on consumers' willingness to purchase. International Journal of Information Management, 52, 102070.

Zhou T., Ling X., & Deng S. (2021). Research on Social Media User Transfer Behavior Based on PPM Model. Information Science (02), 114-119. doi:10.13833/j.issn.1007-7634.2021.02.014http://dx.doi.org/10.13833/j.issn.1007-7634.2021.02.014.

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