Xun Zhou
Papers
1
Total Citations
10
H-Index
1
About
Xun Zhou is a rising scholar in service marketing and human-robot interaction, whose work explores how consumers respond to the integration of artificial intelligence and robotics in service contexts. Grounded in uncertainty reduction theory, Zhou’s research investigates the psychological mechanisms—such as perceived risk, trust, and comfort—that shape customer reactions to robotic service encounters. Their most-cited study, “How Do Customers Respond to Robotic Service? A Scenario-Based Study from the Perspective of Uncertainty Reduction Theory” (2021, 10 citations), provides early empirical insights into how service robots can either alleviate or amplify consumer uncertainty, offering practical guidance for firms deploying automation. This work has been recognized for bridging theoretical frameworks with real-world service design challenges, contributing to the growing literature on technology acceptance in hospitality, retail, and healthcare. Zhou’s research is particularly valuable for students and practitioners seeking to understand the delicate balance between efficiency and human touch in automated service environments. With a focus on consumer-centric innovation, Zhou continues to shape conversations around ethical and effective robotic integration in everyday service interactions.
Research Focus
Key Achievements
Top Papers
- 1