The impact of social media reports on nurses’ job satisfaction: A cross-section suvery

Jackie Zhanbiao Li, Janet Yuen Ha Wong, Doreen Wing Han Au, Yiyao Chen, Yingqian Lao, Mengmeng Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to examine the impact of social media reports (SMR) on nurses' job satisfaction (NJS) and investigate the moderating effect of nurse manager overconfidence (NMO). Focusing on nurses in tertiary public hospitals in Guilin, China, we constructed an analytical dataset using survey data from January to June 2024 and social media comments collected through web scraping technology. Results reveal a significant positive correlation between SMR and NJS, indicating that increases in social media reports are associated with higher job satisfaction among nurses. However, when NMO acts as a moderating factor, the positive effect of SMR on NJS is attenuated, suggesting that overconfidence among nurse managers may diminish the influence of social media feedback. Furthermore, the study employs robustness tests, including the Replace Variables Method, Entropy Balancing Method, Instrumental Variable Method (IV-2LS), and Other Methods, effectively addressing endogeneity issues and confirming the reliability of these findings. This research offers theoretical support for enhancing hospital management and extends the literature on the moderating role of managerial characteristics on job satisfaction, providing practical insights for promoting high-quality hospital development.

Original languageEnglish
Article number100529
JournalComputers in Human Behavior Reports
Volume16
DOIs
Publication statusPublished - Dec 2024

Keywords

  • Hospital management
  • Nurse manager overconfidence
  • Nurses' job satisfaction
  • Social media reports
  • Tertiary public hospitals

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