信息过载
透视图(图形)
持续时间(音乐)
业务
营销
封面(代数)
互联网
溪流
广告
直播流媒体
计算机科学
万维网
工程类
人工智能
艺术
文学类
机械工程
计算机网络
作者
C. Q. Zhang,Siyu Pan,Yanhui Zhao
标识
DOI:10.1016/j.jretconser.2023.103651
摘要
With the rapid development of Internet technologies, many retailers have incorporated live streaming as an emerging sales channel. Retailers and live streamers are eager to cover a wide range of products in their streams and entice viewers to stay for a longer duration. However, we propose from an information overload perspective that having more products and longer stay time may not always be better for sales. In this study, we empirically analyze 472 live streams to explore the curvilinear effects of the number of products and stay time on livestream shopping sales. Our findings suggest an inverted U-shaped relationship between the total number of products and the average audience stay time with sales. Moreover, we find that these relationships are contingent on the total duration of the stream and the age of the streamer. The results have practical implications for retailers regarding the design of effective livestream programs.
科研通智能强力驱动
Strongly Powered by AbleSci AI