Zhangjian Wu
Papers
1
Total Citations
17
H-Index
1
About
Dr. Zhangjian Wu is a rising scholar in consumer behavior and service technology, whose research explores the psychological and social factors shaping human-robot interactions. His work centers on how social class and service context influence consumer preferences for AI service robots, a critical area as automation transforms the hospitality and retail sectors. In his most-cited study (2022, 17 citations), Wu conducted a field experiment revealing that consumers’ social class and the type of service (e.g., utilitarian vs. hedonic) interact to affect their willingness to adopt robot services, with risk aversion serving as a key mediating mechanism. This contribution offers practical insights for businesses designing AI-driven customer experiences. Wu’s research bridges sociology, marketing, and technology adoption, providing a nuanced understanding of how socioeconomic factors shape technological acceptance. His work has been recognized for its methodological rigor, combining field experiments with real-world service settings. As AI continues to permeate everyday life, Wu’s findings are increasingly cited for their relevance to inclusive service design and consumer welfare.
Research Focus
Key Achievements
Top Papers
- 1