1. Strategic partnerships for AI-driven drug discovery: The role of relational dynamics.
- Author
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Kint, Stefan, Dolfsma, Wilfred, and Robinson, Douglas
- Subjects
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DRUG discovery , *BUSINESS partnerships , *EVIDENCE gaps , *DRUG target , *PHARMACEUTICAL industry - Abstract
• Strategic partnerships between AI firms and pharmaceutical firms enhance drug discovery and development efficiency. • AI firms identify and leverage relational capabilities to align technological strengths with specialized needs of pharmaceutical partners. • Effective governance structures, formal and informal mechanisms, are essential for the success of AI–pharma collaborations. • Formal governance mechanisms provide a clear framework for collaboration, confidentiality, IP, and deliverables to ensure smooth partnerships. • Creation and esp. management of relationship-specific assets, AI models and new drug targets, is essential for achieving partnership objectives. Artificial intelligence-driven drug discovery (AIDD) companies hold significant promise for transforming pharmaceutical development, yet little is known about how they manage partnerships with established pharmaceutical firms. To address this research gap, our study explores how AIDD companies develop and leverage relational capabilities to enhance collaboration effectiveness. Through a case study approach, we focus on four key relational aspects: identifying complementary capabilities, establishing effective governance mechanisms, creating relationship-specific assets, and developing interfirm knowledge-sharing routines. Our findings demonstrate that particularly effective governance of intellectual property is essential for partnership success. We offer actionable recommendations for AIDD companies to strengthen collaborations, thereby contributing to the realization of AI's potential in drug discovery. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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