Mengwei Zhang

Zhejiang University, Chinese Academy of Sciences

Papers

3

Total Citations

37

H-Index

2

About

Mengwei Zhang is a researcher whose work sits at the compelling intersection of service robotics, consumer psychology, and hospitality management. Zhang's scholarship primarily investigates how consumers psychologically and behaviorally respond to robotic service providers, with a particular focus on service failure contexts — a critical and underexplored dimension of the growing human-robot interaction literature. Among Zhang's most impactful contributions is research examining how consumers react differently to humanoid versus nonhumanoid robots following service failures, a study that has garnered 21 citations since its 2023 publication. This work introduces a moderated chain mediation model, offering nuanced theoretical insight into how robot morphology shapes consumer expectations and emotional responses. Complementing this, Zhang's investigation into anticipated trust and brand-switching intentions — already accumulating 14 citations — illuminates the psychological mechanisms by which robot type moderates consumer loyalty decisions, carrying significant implications for hospitality and retail service design. Beyond consumer behavior, Zhang demonstrates breadth through technical contributions, including research on unmanned surface vehicle kinetics for automatic berthing. Together, these works reflect a researcher adept at bridging human-centered behavioral science with emerging autonomous technologies, making Zhang a noteworthy emerging voice in both service management and intelligent systems research.

Research Focus

Key Achievements

2
H-Index
3
Papers
37
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
How consumers react differently toward humanoid vs. nonhumanoid robots after service failures: a moderated chain mediation model
21 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Zhejiang University, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago