Author
Listed:
- Shanshan Shang
(Shanghai International Studies University)
- Jilan Wu
(Shanghai University of Finance and Economics
Shanghai University of Finance and Economics, Ministry of Education)
- HuiFang Qu
(Jining University)
- Qingfeng Zeng
(Shanghai University of Finance and Economics)
Abstract
This study draws on the self-determination and cognitive load frameworks as the overarching theoretical lens to explain how characteristics of danmaku affect performance in the serious live streaming context. Extrinsic characteristics including pseudosynchoronicity, succinct expressiveness, immediate response, and anonymity and intrinsic characteristics involving perceived relaxation and perceived playfulness are first identified under the tenet of cue utilization theory. These characteristics are supposed to affect engagement through self-determination (perceived autonomy, competence, and relatedness) and cognitive load (extrinsic cognitive load and intrinsic cognitive load) from both the positive and negative perspectives, and engagement encompassing behavioral, emotional, and cognitive engagement finally shapes performance. The Partial Least Square Structural Equation Model approach is employed to validate the research model. Data were collected via a survey of 468 valid responses who own the experience of live online learning. The results demonstrate some interesting and different effects by danmaku under the serious live streaming setting. The findings add more knowledge to extant literature and speak practically to the goals of managers.
Suggested Citation
Shanshan Shang & Jilan Wu & HuiFang Qu & Qingfeng Zeng, 2025.
"Danmaku in the serious live streaming context: the mediating roles of self-determination and cognitive load,"
Information Technology and Management, Springer, vol. 26(4), pages 593-608, December.
Handle:
RePEc:spr:infotm:v:26:y:2025:i:4:d:10.1007_s10799-025-00451-8
DOI: 10.1007/s10799-025-00451-8
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infotm:v:26:y:2025:i:4:d:10.1007_s10799-025-00451-8. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.