TY - JOUR
T1 - The impact of social media reports on nurses’ job satisfaction
T2 - A cross-section suvery
AU - Li, Jackie Zhanbiao
AU - Wong, Janet Yuen Ha
AU - Au, Doreen Wing Han
AU - Chen, Yiyao
AU - Lao, Yingqian
AU - Zhang, Mengmeng
N1 - Publisher Copyright:
© 2024
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
KW - Hospital management
KW - Nurse manager overconfidence
KW - Nurses' job satisfaction
KW - Social media reports
KW - Tertiary public hospitals
UR - http://www.scopus.com/inward/record.url?scp=85209717168&partnerID=8YFLogxK
U2 - 10.1016/j.chbr.2024.100529
DO - 10.1016/j.chbr.2024.100529
M3 - Article
AN - SCOPUS:85209717168
VL - 16
JO - Computers in Human Behavior Reports
JF - Computers in Human Behavior Reports
M1 - 100529
ER -