Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance

TL;DR

This paper explores how Large Language Models revolutionize R&D by automating knowledge discovery, fostering collaboration, and accelerating innovation, thereby transforming innovation management in the modern era.

Contribution

It provides a comprehensive analysis of LLMs' roles in enhancing R&D processes, highlighting their impact on innovation efficiency and ethical governance.

Findings

LLMs automate knowledge discovery in R&D.

They accelerate innovation cycles and reduce time-to-market.

LLMs support ethical governance in innovation processes.

Abstract

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.