Kum Fai Yuen
Papers
11
Total Citations
228
H-Index
7
About
Kum Fai Yuen is a prominent researcher specializing in logistics technology adoption, autonomous delivery systems, and smart city innovation. His work has made significant contributions to understanding how consumers and businesses embrace emerging technologies, particularly autonomous delivery robots (ADRs) in last-mile logistics. Yuen's research consistently integrates behavioral, psychological, and technological frameworks — drawing on theories such as Technology Acceptance, Expectation-Confirmation, and Perceived Risk — to explain adoption dynamics across diverse urban contexts. Among his most influential contributions is a series of highly cited studies examining consumer acceptance of ADRs, collectively accumulating over 200 citations since 2022. Notably, his work addressing the COVID-19 pandemic's acceleration of contactless delivery highlighted the intersection of public health concerns and technological innovation. His research extends beyond consumer behavior to encompass urban planning implications, logistics operator perspectives, and resistance to technological change, demonstrating remarkable breadth. More recently, Yuen has expanded his focus toward generative AI and human-robot interaction, exploring value co-creation mechanisms. His scholarship provides actionable insights for policymakers, urban planners, and logistics companies navigating the rapid deployment of autonomous systems, establishing him as a leading voice in the evolving field of smart logistics and technology management.
Research Focus
Key Achievements
Top Papers
- 1Acceptance of autonomous delivery robots in urban cities48 citations · 2022
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