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( Li Yali ) -
( Jing Qi ) - ( Feng Taiwen ) - ( Yang Xiaoling ) -
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Abstract
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Purpose: 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.
Methods: 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.
Results: Self-efficacy positively influenced person-job fit (¥â = .55, p < .001), which positively affected nurses¡¯ workplace well-being (¥â = .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 (¥â = .12, p < .001).
Conclusion: 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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KeyWords
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Psychological Well-Being, Nursing, COVID-19
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