| Autor: |
Guoxin Wang, Shouwang Lu, Kanliang Wang |
| Předmět: |
|
| Zdroj: |
Proceedings of the Pacific Asia Conference on Information Systems (PACIS); 2023, p1-16, 16p |
| Abstrakt: |
Artificial intelligence (AI) has shown increasing potential in assisting users with decisionmaking. However, the impact of AI decision speed on users' adoption intention has received limited attention compared to the focus on decision quality. Building on cue utilization theory, this study investigates the influence of AI decision speed on users' intention to adopt AI. Three experiments were conducted, revealing that users exhibit a higher intention to adopt AI when AI's decision speed is higher and historical decision quality is better. Furthermore, the perceived intelligence and perceived risk in decisionmaking act as mediating variables in these effects. Importantly, the study finds that historical decision quality moderates the relationship between AI decision speed and user adoption, weakening the impact in conditions of high quality. These findings contribute to the understanding of AI adoption and offer practical implications for AI service providers and developers. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
