Evidence map›Paper›PMID 42243918›Full record

ArticleBMC nursing2026

Mediating effects of artificial intelligence readiness and self-efficacy on innovative behavior in Chinese standardized training nurses: a structural equation model study.

Xiting Huang, Qingxuan Niu, Zhisheng Feng, Fang Shen, Hong Yu, Xiuhong Yuan, Xiaoxue Chen, Fang Xiao

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiting Huang *Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China.
Qingxuan Niu *Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China.
Zhisheng Feng *Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China.
Fang ShenDepartment of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China.
Hong YuDepartment of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China.
Xiuhong YuanDepartment of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China. yuanxh@sysucc.org.cn.
Xiaoxue ChenDepartment of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China. chenxx2@sysucc.org.cn.
Fang XiaoDepartment of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651, Road Dongfengdong, Yuexiu District, Guangzhou, Guangdong, 510060, P. R. China. xiaofang@sysucc.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInnovative behavior is crucial for enhancing clinical efficiency, promoting patient recovery, and advancing the nursing discipline. As an emerging group within the nursing workforce, standardized training nurses represent a key cohort for fostering innovation. Nevertheless, the psychological mechanisms underlying their innovative behavior remain insufficiently explored. In particular, the chain mediating roles of AI readiness and self-efficacy in the relationship between self-directed learning, perceived organizational support, and innovative behavior have yet to be systematically examined. This study aims to address this research gap by investigating the mediating effect of AI readiness and self-efficacy between self-directed learning ability, perceived organizational support and innovative behavior among standardized training nurses.

methodsA cross-sectional survey was conducted between January and July 2025 using convenience sampling. Participants were recruited from two tertiary hospitals in Guangdong Province and one tertiary hospital in Gansu Province. Data were collected using the following instruments: the General Information Questionnaire, Innovative Behavior Inventory, Medical AI Readiness Scale for Medical Students, General Self-Efficacy Scale, Self-Directed Learning Ability Instrument, and Perceived Organizational Support Scale. Structural equation modeling was performed using AMOS software for analyze the data.

resultsThe structural equation model exhibited a good fit. Path analysis showed that both self-directed learning and perceived organizational support were directly associated with the innovative behavior. For the self-directed learning pathway, only the sequential indirect effect through AI readiness and self-efficacy was statistically significant (small indirect effect, β = 0.018, 95%CI: 0.004, 0.048); For the perceived organizational support pathway, both the indirect effect through the sequential indirect effect through AI readiness and self-efficacy was statistically significant (small indirect effect, β = 0.014, 95%CI: 0.004, 0.045).

conclusionsThe relationships between self-directed learning, perceived organizational support, and innovative behavior are mediated by AI readiness and self-efficacy. These findings highlight that fostering AI readiness and self-efficacy could be of practical significance in improving innovative behavior of standardized training nurses.

Indexed as

Artificial intelligence readinessInnovative behaviorPerceived organizational supportSelf-directed learningSelf-efficacyStandardized training nurses

Identifiers

PMID42243918
PMCPMC13455297

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.