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

arXiv 2511.14709 ↗First posted 18 Nov 2025cs.CLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 141 references that are in the map. First posted on arXiv 18 Nov 2025.

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21 of 141 references.

References · 21

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  4. 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,552
  5. 2023Cultural Bias and Cultural Alignment of Large Language Modelscited by 149
  6. 2023Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directionscited by 125
  7. 2023Generative AIcited by 120
  8. 2023Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Reviewcited by 83
  9. 2023Bias of AI-Generated Content: An Examination of News Produced by Large Language Modelscited by 38
  10. 2023Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languagescited by 36
  11. 2024Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generationcited by 31
  12. 2024Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selectioncited by 29
9 more
  1. 2023A Critical Survey on Fairness Benefits of Explainable AIcited by 16
  2. 2024Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investorscited by 9
  3. 2023A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generationcited by 4
  4. 2025The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovationcited by 3
  5. 2022Enhancing Business Process Simulation Models with Extraneous Activity Delayscited by 2
  6. 2024Measuring Compliance with the California Consumer Privacy Act Over Space and Timecited by 2
  7. 2025Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendationscited by 2
  8. 2019Agile Development at Scale: The Next Frontiercited by 1
  9. 2025Utilizing the RAIN method and Graph SAGE Model to Identify Effective Drug Combinations for Gastric Neoplasm Treatmentcited by 1

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