The formation mechanism of the excessive use of short-form video apps
An IT affordance perspective
Bibliographic Data
| ID | 7155663 |
|---|---|
| Authors | Wenhua Li (0000-0001-5424-9352, Tianjin University), Yuwo Fu (Tianjin University), Junpeng Guo (0000-0002-3884-3180, Tianjin University), Jiaxin Mao (0000-0002-9257-5498, Tianjin University) |
| Year | 2025 |
| Volume | 38 |
| Issue | 6 |
| Pages | 2413-2440 |
| Publication date | 2025-11-11 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Information Technology and People (JOURNAL) |
| Journal identifiers | ISSN: 0959-3845 • E-ISSN: 1758-5813 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/itp-04-2022-0253 |
| OpenAlex | W4401278304 |
| Language | EN |
| Citations received | 2 |
| References cited | 83 |
Purpose Recently, short-form video apps, as a new form of social media, have attracted users and rapidly emerged by virtue of their personalized recommendation algorithms, interesting forms of live interaction, and diverse interactive functions, which may lead to excessive use. From the perspective of IT affordances, this study combines the cognitive-affective-behavioral model and perceived values theory to examine the formation mechanism of the excessive use of short-form video apps. Design/methodology/approach We surveyed a total of 351 users who have used Tiktok, a typical short-form video app, and used their questionnaires to test the research model. Findings Searching affordance has a positive impact on perceived information value and perceived entertainment value. Furthermore, meta-voicing, recommending, and livestreaming affordance have a positive impact on perceived information value, perceived entertainment value, and perceived social networking value, which also have a positive impact on negative affect anticipation. In addition, negative affect anticipation is significantly positively correlated with excessive use. Originality/value In terms of theory, this study introduces the theory of IT affordances and perceived values into the cognitive-affective-behavioral model, to the best of our knowledge, for the first time. Furthermore, it conducts situational research on the formation mechanism of excessive use of short-form video apps and makes up for the lack of studying of excessive use behavior from the perspective of technical factors
Affordance · Cognitive psychology · Epistemology · Human–computer interaction · Computer Science · Digital Marketing and Social Media · Impact of Technology on Adolescents · Philosophy · Psychology · Technology Adoption and User Behaviour · Artificial Intelligence
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Technologies, Texts and Affordances
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |