Chieh‐Ni Wu

Chang Gung University

Papers

2

Total Citations

67

H-Index

2

About

Chieh-Ni Wu is a leading researcher in the intersection of healthcare management and robotics, with a primary focus on how robotic technologies reshape nursing workflows, professional engagement, and workforce retention. Her work critically examines the dual-edged role of service robots in hospital settings—showing that while robots can reduce nonprofessional task burdens and help nurses focus on meaningful clinical work, they also introduce new demands, such as the effort required to ensure smooth robot operation. Through rigorous two-wave study designs conducted in a major Taiwanese hospital, Wu has demonstrated that robot-enabled task focus can significantly lower nurses’ turnover intention, while also revealing that poor robot performance can paradoxically increase time pressure and missed care. Her most cited paper (44 citations) provides foundational evidence that robots can enhance professional task engagement, directly addressing the global nursing shortage crisis. A second highly influential study (23 citations) further unpacks the nuanced relationship between robot-related effort, time pressure, and retention. Wu’s research is vital for healthcare administrators, technology developers, and policymakers seeking evidence-based strategies to integrate robotics without compromising nurse well-being or care quality.

Research Focus

Key Achievements

2
H-Index
2
Papers
67
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses’ Turnover Intention
44 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Chang Gung University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago