Empirical Research on the Formation Mechanism of User Stickiness based on Professionalism of Broadcasters on Live video Streaming Platforms
- DOI
- 10.2991/978-94-6463-042-8_181How to use a DOI?
- Keywords
- live video streaming platform; user stickiness; professionalism of the broadcasters; broadcaster identification; perceived value
- Abstract
User stickiness is crucial to the growth of live video streaming platforms. The broadcaster is the most important individual in a live video platform, and this study explores the formation mechanism of user stickiness based on the professionalism of the broadcasters. An online survey was conducted in the WeChat and QQ groups to evaluate the research model, yielding 202 usable questionnaires. The model was then examined using structural equation modeling. We have found that the professionalism of the broadcaster can generate broadcaster identification and perceived value, both of which can further produce user stickiness. In addition, we also found that broadcaster identification has a facilitating effect on perceived value. Exploring the formation mechanism of user stickiness on live video streaming platforms can provide important practical guidance for managers of the platforms.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yixin Zhang AU - Tongfei Gu PY - 2022 DA - 2022/12/29 TI - Empirical Research on the Formation Mechanism of User Stickiness based on Professionalism of Broadcasters on Live video Streaming Platforms BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 1267 EP - 1271 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_181 DO - 10.2991/978-94-6463-042-8_181 ID - Zhang2022 ER -