Chain Mediation of Psychological Capital and Burnout Between Nurses’ Artificial Intelligence Literacy and Occupational Resilience: A Cross‐Sectional Study
Jan 2026· Journal of Nursing Management· Vol 2026· 1 citation· 25 references
Medicine
TL;DR
Investigating the impact of nurses’ artificial intelligence literacy on their occupational resilience and examining the chain mediating effects of psychological capital and burnout found nurses’ artificial intelligence literacy was significantly positively correlated with occupational resilience.
Abstract
Background AI literacy is increasingly recognized as a core competency that enables nurses to improve work efficiency and reduce workload. Therefore, enhancing AI literacy represents a promising strategy to strengthen occupational resilience. However, current research has not yet elucidated the direct relationship and underlying mechanisms between nurses’ AI literacy and occupational resilience. Aim To investigate the impact of nurses’ artificial intelligence literacy on their occupational resilience and examine the chain mediating effects of psychological capital and burnout. Methods Data were collected from December 2025 to January 2026 using self‐report electronic questionnaires completed by nurses in 10 medical institutions across China. Descriptive analysis, correlation analysis, and chain mediation analysis were performed on all study variables. Results Correlation analysis showed that nurses’ artificial intelligence literacy was significantly positively correlated with occupational resilience (r = 0.351, p < 0.001) and psychological capital (r = 0.356, p < 0.001) and significantly negatively correlated with burnout (r = −0.130, p < 0.05). Bootstrap analysis revealed that psychological capital served as the primary mediating pathway (effect = 0.377, 95% CI = [0.283, 0.475]), and a sequential chain mediation via psychological capital and burnout also existed between artificial intelligence literacy and occupational resilience (effect = 0.036, 95% CI = [0.019, 0.057]). Conclusion Artificial intelligence literacy enhances occupational resilience through the chain mediation effects of psychological capital and burnout. Occupational resilience among nurses can be strengthened by implementing artificial intelligence skills training and psychological capital interventions for nursing staff. Implication for Nursing Management Nursing managers should implement hierarchical artificial intelligence training, regularly assess nurses’ psychological capital and burnout and offer targeted interventions. Meanwhile, healthcare institutions should upgrade digital infrastructure, adopt artificial intelligence–enabled nursing technologies, and establish guidelines for intelligent nursing applications to systematically enhance nurses’ occupational resilience.
The findings provide a theoretical basis for the mechanism of nurses' psychological resilience on work engagement and should pay attention to nurses' psychological resilience and enhance their cognitive reappraisal and general self-efficacy levels through interventions to further promote their work engagement levels.
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