David Teece

David J. Teece is an innovation scholar who has studied how markets for know-how and intellectual property function and is well known for a series of papers on capturing value from technology. He coined the term “appropriability regime” and has explored how the appropriability regime impacts business model choices, particularly in relation to technology licensing.

Prof. Teece is the director of the Tusher Initiative for the Management of Intellectual Capital at the University of California, Berkeley’s Haas School of Business. He has authored over 30 books and 200 scholarly papers, and has been cited almost 170,000 times, per Google Scholar.
Dr. Teece has been ranked as the world’s most-cited scholar in the combined field of business and management in an analysis of science-wide author citations published in PLOS Biology, a peer-reviewed journal. He is co-editor of the Palgrave Encyclopedia of Strategic Management.  Dr. Teece has received nine honorary doctorates and has been recognized by Royal Honors.

Understanding the U.S. Biopharmaceutical Innovation Ecosystem

By Sujai Shivakumar, Tisyaketu Sirkar, and Jeffrey Depp Introduction The biopharmaceutical innovation system—which brings novel, life-improving, and life-saving therapies from the researcher’s bench to a patient’s bedside—is a major engine powering health improvements, economic output, and wealth creation in the United States. But while the commercial and national security competition with China has
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Explainer: Standard Essential Patents and National Security

By Christopher Borges Technology standards are a critical domain of international cooperation and competition in high technology. Standards create a common language for communication about technology and innovation, allowing firms to collaborate and develop interoperable products. At the same time, for some critical and emerging technologies such as telecommunications and artificial
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Assessing the Patent and Trademark Office’s Inventorship Guidance for AI-Assisted Inventions

By Alexander Kersten As new applications of artificial intelligence (AI) become more sophisticated, AI tools are increasingly used to assist in the process of invention. However, given that inventorship is limited to natural persons under U.S. law, AI’s growing utilization has raised questions around whether AI-assisted inventions should receive patents,
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