Syaiful Anwar Mohamed

Universiti Tenaga Nasional

Papers

1

Total Citations

91

H-Index

1

About

Dr. Syaiful Anwar Mohamed is a leading researcher in the intersection of automation technology and human resource management, with a particular focus on Robotic Process Automation (RPA). His most influential work, "Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management" (2022), has garnered 91 citations, establishing him as a key voice in digital transformation within HR. Dr. Mohamed's research critically examines how RPA can revolutionize HR operations by streamlining repetitive tasks, reducing operational costs, and enhancing strategic decision-making. His contributions provide a practical framework for organizations to integrate automation while maintaining workforce engagement and compliance. By bridging the gap between technological innovation and human-centric management, Dr. Mohamed's work has informed both academic discourse and industry practice, offering actionable insights for HR professionals navigating the Fourth Industrial Revolution. His scholarship underscores the importance of adaptive deployment strategies to maximize RPA benefits, making him a vital resource for students and practitioners seeking to understand the future of automated HR systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
91
Total Citations
91
Avg Citations/Paper
🏆 Most Cited Paper
Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management
91 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universiti Tenaga Nasional

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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