Podrobná bibliografia
| Názov: |
Does binge-watching affect impulsive paid subscription? An investigation of the mechanism and boundary. |
| Autori: |
Song, Lianlian1, Zhang, Qiuxiang1, Yang, Zhiyong2, Mou, Jian3 jian.mou@pusan.ac.kr |
| Zdroj: |
Behaviour & Information Technology. Aug2025, Vol. 44 Issue 13, p3297-3317. 21p. |
| Predmety: |
*CONSUMER attitudes, *QUESTIONNAIRES, *TELEVISION, *ANALYSIS of variance, *DISCRIMINANT analysis, COMPULSIVE behavior, CRONBACH'S alpha, CONCEPTUAL models, RESEARCH evaluation, UNDERGRADUATES, EMOTIONS, IMPULSIVE personality, SURVEYS, PSYCHOLOGY, RESEARCH methodology, DATA analysis software, COLLEGE students, VIDEO recording |
| Abstrakt: |
Video-on-demand platforms encourage binge-watching (BW) to stimulate paid subscription. Despite decades of research, there is no academic consensus on the definition of BW, resulting in inconsistent findings regarding its effect on impulsive paid subscription. Drawing on the stimulus–organism–response theory, we develop a conceptual model to explore the mechanism that links the stimulus (BW), consumer organism (attractiveness, identification, involvement, and parasocial interaction), and response (impulsive paid subscription). We also investigate how the boundary condition of BW (number of episodes watched) affects this mechanism. We conducted an online survey and two quasi-field experiments to collect data and verify the hypotheses. Our findings confirm that compared with non-BW, BW triggers higher impulsive paid subscription. This main effect can be explained through the enhanced attractiveness, identification, involvement, and parasocial interaction produced by BW. Moreover, BW can be validly defined as watching at least three episodes of a program, which reveals significant differences in viewers' impulsive paid subscription. Implications for future BW research and marketing strategies for video-on-demand platforms are also discussed. [ABSTRACT FROM AUTHOR] |
|
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
Business Source Index |