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Aim: To develop and test the first causal model of thriving at work in Chinese nurses. Background: Nurses' ability to thrive at their work is critical to retain qualified nurses and meet the needs of a constantly changing health environment. However, this is a poorly researched area. Introduction: Thriving at work refers to the feeling of vitality and learning at work, which are evidenced to be solidly associated with nurses' development. Only a few factors have been explored regarding the effects of thriving at work. Methods: A cross‐sectional study was undertaken using stratified random sampling. This involved 565 nurses from five general hospitals in Dali city, Yunnan Province, People's Republic of China. Data were collected from April to September 2019 using seven instruments. The model was constructed and tested using the Analysis of Moment Structure program and reported using the STROBE checklist. Results: All model variables provided direct and indirect effects to the outcome. The final model fitted the empirical data with acceptable indices. Discussion: Predicting variables of workplace mindfulness, authentic leadership, workplace violence, organizational justice and years of experience were found to affect thriving at work directly and indirectly. Psychological capital and perceived organizational support mediated the effects between predicting variables to the outcome. Conclusion and Implications for nursing and health policy: Recommendations for nursing and health leaders are provided to improve nurses' thriving at work by building fair, supportive, and safe working environments, improving head nurses' authentic leadership and cultivating nurses' mindfulness. Policies need to be promulgated to improve and regulate the nurse–patient ratio and to eliminate violence against Chinese nurses. [ABSTRACT FROM AUTHOR]

Aim: To examine the modifiable predictors and the level of workplace social capital, transformational leadership, emotional intelligence and organizational justice among registered nurses in Chinese hospitals. Background: Workplace social capital is a relational network developed among nurses and other healthcare professionals that provides social support, and gives value to their working lives. Internationally, cultivating high levels of social capital is critical as it can help improve nurse satisfaction and care, and address nurse turnover. However, knowledge of factors influencing nurses' workplace social capital is limited in China. Methods: In this cross‐sectional, descriptive predictive study, 344 registered nurses were randomly selected from three urban Chinese hospitals in Zhejiang province. Five standard instruments were applied to collect data. Descriptive statistics were used to present the level of the variables and stepwise multiple regression was performed to identify the predictors of nurses' workplace social capital. Results: Among eight potential factors, transformational leadership and emotional intelligence positively predicted workplace social capital. Nurses perceived the overall level of workplace social capital, emotional intelligence and unit managers' transformational leadership as high, and the overall level of organizational justice as moderate. Discussion: Enhancing unit managers' transformational leadership and nurses' emotional intelligence was found to positively influence the development of workplace social capital. Although it is not a predictor of workplace social capital, nurses' organizational justice should be improved due to its importance and current unsatisfactory level. Conclusion and implications for nursing and health policy: Nursing and health policymakers need to consider the enhancement of transformational leadership and emotional intelligence when implementing policies to improve nurses' workplace social capital, nursing retention and job satisfaction. [ABSTRACT FROM AUTHOR]