David De Cremer

National University of Singapore, Northeastern University

Papers

5

Total Citations

638

H-Index

4

About

David De Cremer is a prominent organizational behavior and management scholar whose research sits at the intersection of technology, artificial intelligence, and human psychology in the workplace. Best known for his pioneering investigations into how people perceive and interact with robots and AI systems, De Cremer has fundamentally shaped our understanding of human-robot collaboration in organizational settings. His highly cited work on service robots—garnering over 314 citations—demonstrates that customers are more forgiving of robotic errors when robots are perceived to have feelings, drawing on anthropomorphism theory to yield actionable insights for businesses deploying automated frontline services. His subsequent research exploring how conscientious employees adapt when paired with intelligent machines (290 citations) challenged longstanding assumptions about personality and performance, revealing important nuances in human-AI complementarity. De Cremer has also examined the psychological costs of robot adoption during the COVID-19 pandemic, finding that increased robot usage can erode employees' workplace passion. More recently, he has critically interrogated "technosolutionism"—the belief that technology can uniquely resolve societal problems—and explored the role of soft skills in robot leadership contexts. Through rigorous field and experimental methodologies, De Cremer's body of work offers essential guidance for organizations navigating an increasingly automated future.

Research Focus

Key Achievements

4
H-Index
5
Papers
638
Total Citations
128
Avg Citations/Paper
🏆 Most Cited Paper
Robots at work: People prefer—and forgive—service robots with perceived feelings.
314 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: National University of Singapore, Northeastern University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago