Muhammad Ali Raza

Shenzhen University

Papers

1

Total Citations

3

H-Index

1

About

Muhammad Ali Raza is an emerging scholar in organizational behavior and human–robot interaction, with a focused interest in the psychological and operational impacts of service automation on hospitality employees. His most-cited work, “Service robot performance and hospitality employees’ job loss insecurity and turnover” (2024), examines how the increasing deployment of service robots influences workers’ perceptions of job security and their subsequent turnover intentions. By integrating theories of job insecurity and technology acceptance, Raza provides critical insights into the human side of automation, highlighting the emotional and career-related consequences for frontline staff. Though early in his career, his research has already garnered attention, with this paper accumulating 3 citations shortly after publication—a promising indicator of its relevance to both academic and industry audiences. Raza’s work contributes to the growing dialogue on sustainable technology adoption, urging organizations to consider employee well-being alongside efficiency gains. His findings are particularly valuable for hospitality managers, policymakers, and researchers exploring the intersection of artificial intelligence, labor markets, and employee psychology. As automation continues to reshape service industries, Raza’s scholarship offers a timely, human-centered perspective on navigating these transformative changes.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Service robot performance and hospitality employees’ job loss insecurity and turnover*
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago