Samuel Fosso Wamba
Papers
7
Total Citations
1,463
H-Index
6
About
Samuel Fosso Wamba is a distinguished researcher whose work sits at the intersection of artificial intelligence, human-robot interaction, and digital business transformation. His scholarship has profoundly shaped our understanding of how AI technologies drive organizational value, with his landmark 2020 study on AI's influence on firm performance accumulating an impressive 1,125 citations — a testament to its foundational role in the field. Wamba's research extends into the nuanced psychological dimensions of AI adoption, exploring how gendered bot design shapes human acceptance of AI systems and how users navigate perceived irrationality in everyday AI interactions like navigation tools. His contributions span multiple applied domains, including aeronautics, national security, and the Fourth Industrial Revolution's workforce implications, demonstrating a rare breadth of intellectual curiosity. Through rigorous bibliometric analyses and quasi-systematic reviews, he has also helped map the evolving landscape of social robotics and human-robot interaction. Students and practitioners alike will find in Wamba a scholar who bridges technical innovation with human and organizational realities, offering indispensable frameworks for understanding how artificial intelligence is reshaping industries, institutions, and human experience in the modern era.
Research Focus
Key Achievements
Top Papers
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- 3Impact of artificial intelligence on aeronautics: An industry-wide review37 citations · 2024
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