KIM TAN kim.tan@nottingham.ac.uk
Professor of Operations and Innovation Management
Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction
Tan, Kim Hua; Pawar, Kulwant; Liu, Haoyu
Authors
KULWANT PAWAR KUL.PAWAR@NOTTINGHAM.AC.UK
Professor of Operations Management
Haoyu Liu
Abstract
Sports viewers have been offered an unprecedented viewing experience to share their passion with their team and communicate in real-time with a streamer and other viewers by sending messages and virtual gifts on sport live streaming platforms (SLSPs). These activities can reflect viewers' underlying perceptions and levels of satisfaction towards the viewing experience. Using actual viewers' behavioral big data, comprising of 16,204 real-time messages and 5,540 virtual gifts, this study combines machine learning techniques and structural equation modelling (SEM) to examine the influence of viewer value perception on gifting behavior through the mediation effect of satisfaction. The results suggest that satisfaction fully mediates the effects of viewer value perception on gifting amount and partially mediates the effects of value perception on gifting number. Important theoretical and managerial implications of this study for social live streaming service (SLSSs) researchers and practitioners are also discussed.
Citation
Tan, K. H., Pawar, K., & Liu, H. (2022). Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction. Journal of Business Research, 144, 599-613. https://doi.org/10.1016/j.jbusres.2022.02.045
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 12, 2022 |
Online Publication Date | Feb 16, 2022 |
Publication Date | 2022-05 |
Deposit Date | Feb 24, 2022 |
Publicly Available Date | Aug 17, 2023 |
Journal | Journal of Business Research |
Print ISSN | 0148-2963 |
Electronic ISSN | 1873-7978 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 144 |
Pages | 599-613 |
DOI | https://doi.org/10.1016/j.jbusres.2022.02.045 |
Keywords | Engagement behavior; Value perception; Social live streaming services; Sports live steaming platforms; Machine learning |
Public URL | https://nottingham-repository.worktribe.com/output/7505774 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0148296322001655 |
Files
Predicting Viewer Gifting Behavior In Sports Live Streaming Platforms - The Impact Of Viewer Perception And Satisfaction
(1.4 Mb)
PDF
You might also like
Review of sustainable service-based business models in the Chinese truck sector
(2016)
Journal Article
Sustainable consumption and production in emerging markets
(2016)
Journal Article
Unlocking the power of big data in new product development
(2016)
Journal Article
Improving new product development using big data: a case study of an electronics company
(2016)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search