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The Impact of Self-Efficacy on Nurses' Well-Being: Does Digital Competence Matter?

  • Li, Yali (Department of Rehabilitation Medicine, Affiliated Hospital of Weifang Medical University) ;
  • Jing, Qi (School of Management, Weifang Medical University) ;
  • Feng, Taiwen (School of Economics & Management, Harbin Institute of Technology) ;
  • Yang, Xiaoling (Department of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine)
  • 투고 : 2023.03.08
  • 심사 : 2023.06.13
  • 발행 : 2023.08.31

초록

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.

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참고문헌

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