KyungBae Park
Papers
2
Total Citations
175
H-Index
2
About
KyungBae Park is a leading voice at the intersection of technology strategy, business model innovation, and sustainable artificial intelligence. His research primarily explores how emerging technologies—particularly autonomous cars and intelligent robots—interact with market dynamics and corporate innovation processes. Park’s most cited work (107 citations) provides a foundational framework for understanding the relationship between technology development, business model design, and market adoption in autonomous vehicle and robotics industries. His highly influential 2016 paper (68 citations) introduces the groundbreaking concept of “autonomous learning” for sustainable AI, moving beyond deep learning to propose a cognitive-inspired interaction model that integrates human learning processes with open innovation. This work directly addresses the critical question of how to develop AI that is beneficial rather than harmful to human life. By conceptually establishing a direct learning-autonomous learning continuum, Park offers a novel pathway for creating AI systems that are both innovative and ethically sustainable. His contributions are essential reading for researchers and students interested in the strategic management of disruptive technologies and the responsible development of artificial intelligence.
Research Focus
Key Achievements
Top Papers
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