Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance
It addresses innovation management challenges for organizations, but it appears incremental as it builds on existing LLM capabilities without introducing new methods.
This study analyzes how Large Language Models (LLMs) transform R&D processes by automating knowledge discovery and boosting hypothesis creation, leading to accelerated innovation cycles and lower time-to-market for breakthrough ideas.
This study analyzes the multiple functions of Large Language Models (LLMs) in transforming research and development (R&D) processes. By automating knowledge discovery, boosting hypothesis creation, integrating transdisciplinary insights, and enabling cooperation within innovation ecosystems, LLMs dramatically improve the efficiency and effectiveness of research processes. Through extensive analysis of scientific literature, patent databases, and experimental data, these models enable more flexible and informed R&D workflows, ultimately accelerating innovation cycles and lowering time-to-market for breakthrough ideas.