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- Title
The Impact of Self-Efficacy on Nurses' Well-Being: Does Digital Competence Matter?
- Authors
Li Yali; Jing Qi; Feng Taiwen; Yang Xiaoling
- Abstract
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 (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). 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.
- Subjects
CHINA; NURSING audit; WELL-being; WORK environment; CONFIDENCE; MATHEMATICAL models; DIGITAL technology; REGRESSION analysis; SELF-efficacy; JOB involvement; HOSPITAL nursing staff; THEORY; DESCRIPTIVE statistics; QUESTIONNAIRES; DATA analysis software; STATISTICAL sampling; COVID-19 pandemic; COMPUTER literacy
- Publication
Journal of Korean Academy of Nursing, 2023, Vol 53, Issue 4, p385
- ISSN
2005-3673
- Publication type
Article
- DOI
10.4040/jkan.23037