Ya Li

Guangdong University of Technology

Papers

1

Total Citations

29

H-Index

1

About

Ya Li is a pioneering scholar at the intersection of service management and human-robot interaction, with a primary focus on how collaborative technologies reshape frontline work. Her most-cited paper, "The effect of human-robot collaboration on frontline employees’ service performance: A resource perspective" (2024, 29 citations), introduces a novel resource-based framework to explain how employees leverage robotic assistance to enhance service delivery. This work challenges traditional views of automation as a threat, instead positioning robots as complementary resources that can alleviate cognitive load and improve performance when properly integrated. Li’s research has immediate practical implications for industries adopting service robots, from hospitality to healthcare, offering evidence-based guidance on designing workflows that maximize human-robot synergy. By bridging organizational behavior and technology adoption, she provides critical insights into the psychological and operational dynamics of hybrid workforces. Her growing citation count reflects the timeliness and relevance of her contributions, particularly as organizations worldwide grapple with the human side of automation. Li’s work is essential reading for scholars and practitioners seeking to understand how to harness collaborative technologies without diminishing employee well-being or service quality.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
The effect of human-robot collaboration on frontline employees’ service performance: A resource perspective
29 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Guangdong University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago