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Dynamic Capabilities with David Teece

Dynamic Competition: An AI-Generated Discussion

29 Oct 2025

Description

This episode was created with AI tools.Notebook LM analyzed an upcoming paper from Professor David J. Teece, "Dynamic Competition, volume 1: Revamping the Economic Foundations of Competition Policy" (forthcoming in the Cambridge Elements series on Reinventing Capitalism).The result was an informed AI conversation on topics in the paper, including competition policy, antitrust, economic schools of thought and approaches, innovation, and complexity thinking.The result should offer useful insights for scholars and students, as well as boards and managers.Listen and explore what AI tools can produce as of October 2025.To learn more about the concepts discussed in this episode, here are some links to foundational readings by Professor Teece, the world's most cited scholar in business and management.Understanding Dynamic Competition: New Perspectives on Potential Competition, “Monopoly,” and Market Power (May 22, 2025). Available at SSRN: ⁠https://ssrn.com/abstract=5356023⁠ or ⁠http://dx.doi.org/10.2139/ssrn.5356023⁠Integrating innovation concepts into the merger control context. With Gönenç Gürkaynak. Journal of European Competition Law & Practice, 2025; lpaf039, ⁠https://doi.org/10.1093/jeclap/lpaf039⁠Dynamic Capabilities and Organizational Agility: Risk, Uncertainty, and Strategy in the Innovation Economy. With Margaret Peteraf and Sohvi Leih. California Management Review, August 1, 2016, Volume 58, Issue 4, ⁠https://doi.org/10.1525/cmr.2016.58.4.13⁠ Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance, Strategic Management Journal, August 7, 2007, ⁠https://doi.org/10.1002/smj.640⁠Profiting from Technological Innovation: Implications for integration, collaboration, licensing and public policy, Research Policy 15:6 (December 1986), 285– 305 (Selected by the editors as one of the best papers published by Research Policy over the period 1971–1991. Noted in 1999 as the most cited paper ever published in Research Policy.) https://doi.org/10.1016/0048-7333(86)90027-2

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