能力(人力资源)
自我效能感
自举(财务)
心理学
多级模型
社会认知理论
2019年冠状病毒病(COVID-19)
应用心理学
护理部
医学
社会心理学
疾病
计算机科学
传染病(医学专业)
金融经济学
机器学习
病理
经济
作者
Y. Li,Qi Jing,Taiwen Feng,Xiaoling Yang
摘要
Drawing on person-environment fit theory and social cognitive theory, this study aimed to examine how self-efficacy affects nurses' workplace well-being via person-job fit and the moderating role of digital competence.A two-wave survey was conducted to collect data. Data were collected from six hundred and ninety-five nurses at three Chinese hospitals between May 2022 and September 2022. We employed hierarchical regression analysis and bootstrapping to analyze the data.Self-efficacy positively influenced person-job fit (β = .55, p < .001), which positively affected nurses' workplace well-being (β = .32, p < .001). Person-job fit mediated the effect of self-efficacy on nurses' workplace well-being. Additionally, digital competence strengthened the positive impact of self-efficacy on person-job fit (β = .12, p < .001).Recruiting nurses with both self-efficacy and digital competence benefits hospitals. It is critical for nurses to improve their digital competence for achieving person-job fit and attaining workplace well-being in the post-coronavirus disease 2019 (COVID-19) era.
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