Regional cognitive pathways to intention to use AI: a structural equation modeling approach
Yewon Jang, Tae Gyoon Jeong, Tongjoo Suh · 2026
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Description
Yewon Jang and co-authors compare how city and country Koreans form their intent to use artificial intelligence. Their survey study models two inner steps: how efficient people expect AI to be, and how much they worry about it. Knowledge of AI and skill at applying it feed those views, and the team split the data between megacity and non-megacity regions.
Expected efficiency tied closely to the intent to use AI in both regions, while worries tied only weakly. In megacities, hands-on skill alone raised expected efficiency. Outside them, both knowledge and skill did, and each fed the path toward intent. The authors say rural regions need stronger teaching in AI basics and practice, so the digital shift does not leave them behind.
Catalog record
| CREATOR | Yewon Jang, Tae Gyoon Jeong, Tongjoo Suh |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |