Richard A. George

Papers

Total Citations

H-Index

About

Richard A. George is a leading scholar in technology adoption and human–machine interaction, with a focus on how cognitive processes shape the integration of advanced technologies like artificial intelligence, machine learning, and robotics. His most-cited work, “A Cognitive Model for Technology Adoption” (2023, 20 citations), provides a foundational framework for understanding the psychological mechanisms that drive or hinder the uptake of transformative tools in the era of Industry 4.0. By bridging cognitive science and innovation diffusion, George’s research offers actionable insights for organizations navigating rapid technological change. His contributions are particularly notable for their interdisciplinary approach, drawing on behavioral economics and human-computer interaction to explain why some technologies succeed while others fail. Though early in his career, George’s work has already informed policy discussions on workforce retraining and ethical AI deployment. His model is increasingly referenced in studies of digital transformation, making him a rising voice in the conversation about how humans adapt to an automated world.