Autonomous enhancement or emotional depletion? The dual-path mechanism of AI usage on employees’ work behavior
Bibliographic Data
| ID | 22077798 |
|---|---|
| Authors | Daokui Jiang (0000-0002-2341-6127, Shandong Normal University, corresponding author), Yaru Liu (0000-0003-3178-6352, Shandong Normal University), Xuan Gu (0000-0003-3966-8844, Shandong Normal University) |
| Year | 2026 |
| Volume | 14 |
| Pages | 1695066-1695066 |
| Publication date | 2026-03-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2026.1695066 |
| PMID | 41929886 |
| OpenAlex | W7138941773 |
| Language | EN |
| References cited | 46 |
As a core driver of social progress, artificial intelligence (AI) has a far-reaching impact on employee behavior in the workplace. A dual-path model based on the SOR theory reveals the dual effects of AI usage. A four-stage longitudinal study analyzed data from 285 finance professionals, showing that AI usage can both boost innovative work behavior by enhancing sense of self-determination and predict work disengagement behavior via the emotional exhaustion elicited by AI-associated technostressors. Leaders’ AI symbolization plays a key moderating role, strengthening AI’s positive effect on sense of self-determination and lessening its negative impact on emotional exhaustion. This research offers theoretical and practical guidance for organizations to improve employee management strategies
Disengagement theory · Emotional intelligence · AI in Service Interactions · Cyberloafing and Workplace Behavior · Technostress in Professional Settings
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| Highly cited | No |
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