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Aim: This study aims to investigate the influence of medical explainable artificial intelligence (XAI) on the innovation behaviour of nurses, as well as explore the dual‐pathway mediating effect of AI self‐efficacy and AI anxiety and organizational ethical climate as the moderating effect. Background: To address the practical application of medical AI technology, alleviate the scarcity of medical resources and fulfil the medical and health demands of the public, it is crucial to improve the innovation behaviour of nurses through the use of medical XAI. Methods: A cross‐sectional survey was conducted involving 368 Chinese nurses working at tertiary and secondary hospitals in Anhui Province, Jiangsu Province, Zhejiang Province and Shanghai. Results: Implementing medical XAI significantly enhanced the innovation behaviour of nurses. Anxiety and self‐efficacy regarding AI mediated the connection between medical XAI and the innovation behaviour of nurses. Furthermore, the organizational ethical climate positively moderated the relationship between medical XAI and AI self‐efficacy. Conclusion: Medical XAI helps to enhance nurses' AI self‐efficacy and reduce AI anxiety, thereby enhancing nurses' innovation behaviour. An organizational ethical climate enhances the positive relationship between medical XAI and AI self‐efficacy. Implications for Nursing Management: Organizations and technology developers must augment the study about XAI and the system design of human‐centred AI technology. The organizations aim to enhance the education and training of nurses in AI, specifically focussing on boosting nurses' self‐efficacy in utilizing AI technology. Moreover, they want to alleviate nurses' fear of new technological advancements. Hospital administrators and leaders develop strategies to address the ethical atmosphere inside their organization. [ABSTRACT FROM AUTHOR]

Aim: The aim of this work is to investigate the influence of leaders' innovation expectation on nurses' innovation behaviour in conjunction with artificial intelligence, as well as explore the chain mediating effect of job control and creative self‐efficacy between leaders' innovation expectation and nurses' innovation behaviour. Background: The nurses' innovation behaviour is crucial in promoting medical artificial intelligence. Thus, clarifying the influencing factors of nurses' innovation behaviour has become a priority. Methods: A cross‐sectional survey was conducted with 263 Chinese nurses from tertiary hospitals and secondary hospitals in Hefei, Anhui province. Results: Leaders' innovation expectation was positively related to nurses' innovation behaviour. Creative self‐efficacy and job control respectively mediated the relationship between leaders' innovation expectation and nurses' innovation behaviour. Furthermore, creative self‐efficacy and job control played a chain mediation role between leaders' innovation expectation and nurses' innovation behaviour. Conclusion: Leaders' innovation expectation helps to enhance nurses' creative self‐efficacy and job control, thereby enhancing nurses' enthusiasm for innovation. Implications for Nursing Management: Hospital managers and leaders formulate intervention measures to increase leaders' innovation expectation, nurses' creative self‐efficacy and job control, and encourage nurses' innovation behaviour. [ABSTRACT FROM AUTHOR]