TY - GEN
T1 - Virtual Streamer Features
T2 - 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024
AU - Meng, Haoyu
AU - Lo, Ying Tuan
AU - Chen, Shu Hsiang
AU - Razak, Siti Suraya Abd
AU - Hu, Bintao
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In recent years, China’s live-streaming e-commerce led by Tik Tok has developed rapidly. With the gradual maturity of AI technology and digital technology, digital virtual human is becoming increasingly widely used. In the live-streaming e-commerce industry, many e-commerce enterprises use virtual streamers for live streaming. However, judging from the market reaction, the help of virtual streamers for enterprise sales is different. Some enterprises use virtual streamers, and sales have increased a lot. On the contrary, some companies have seen their sales decrease after using virtual streamers. Although there has been abundant research on the impact of real streamer features on the sales of live streaming of e-commerce, few studies have focused on the impact of Virtual Streamer Features (VSF) on the live streaming business. After analyzing the real streamer features, based on the research results on the real streamer features and consumers’ purchasing behavior, this study proposed a hypothesis on the impact of VSF on consumers’ online purchasing intention. VSF includes sociality, interactivity, professionality, attractivity and popularity. By reviewing the existing literature, a model of VSF and consumers’ online purchase intention is developed. This conceptual paper proposes a new theoretical framework to investigate the impact of VSF on online purchase intention within the TikTok platform, shedding light on the evolving dynamics of influencer marketing in the digital age. And providing a theoretical basis for helping e-commerce enterprises increase sales by using virtual streamers.
AB - In recent years, China’s live-streaming e-commerce led by Tik Tok has developed rapidly. With the gradual maturity of AI technology and digital technology, digital virtual human is becoming increasingly widely used. In the live-streaming e-commerce industry, many e-commerce enterprises use virtual streamers for live streaming. However, judging from the market reaction, the help of virtual streamers for enterprise sales is different. Some enterprises use virtual streamers, and sales have increased a lot. On the contrary, some companies have seen their sales decrease after using virtual streamers. Although there has been abundant research on the impact of real streamer features on the sales of live streaming of e-commerce, few studies have focused on the impact of Virtual Streamer Features (VSF) on the live streaming business. After analyzing the real streamer features, based on the research results on the real streamer features and consumers’ purchasing behavior, this study proposed a hypothesis on the impact of VSF on consumers’ online purchasing intention. VSF includes sociality, interactivity, professionality, attractivity and popularity. By reviewing the existing literature, a model of VSF and consumers’ online purchase intention is developed. This conceptual paper proposes a new theoretical framework to investigate the impact of VSF on online purchase intention within the TikTok platform, shedding light on the evolving dynamics of influencer marketing in the digital age. And providing a theoretical basis for helping e-commerce enterprises increase sales by using virtual streamers.
KW - Online Purchase Intention
KW - TikTok
KW - Virtual Streamer Features (VSF)
UR - http://www.scopus.com/inward/record.url?scp=105002712188&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-3949-6_9
DO - 10.1007/978-981-96-3949-6_9
M3 - Conference Proceeding
AN - SCOPUS:105002712188
SN - 9789819639489
T3 - Lecture Notes in Networks and Systems
SP - 125
EP - 138
BT - Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics
A2 - Chen, Wei
A2 - Ping Tan, Andrew Huey
A2 - Luo, Yang
A2 - Huang, Long
A2 - Zhu, Yuyi
A2 - PP Abdul Majeed, Anwar
A2 - Zhang, Fan
A2 - Yan, Yuyao
A2 - Liu, Chenguang
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 August 2024 through 23 August 2024
ER -