David J. Teece
University of California, Berkeley
Biography
David J. Teece is Professor of the Graduate School at the University of California, Berkeley, Distinguished Scholar of Strategy and Innovation at the University of South Florida’s Muma College of Business, Chairman Emeritus of the Berkeley Research Group, and co-founder and Executive Chairman of Dynamic Experts. He received his PhD in economics from the University of Pennsylvania in 1975, during Stafford Beer’s adjunct professorship at the Wharton School. A scholar-entrepreneur, Professor Teece is best known for originating the Dynamic Capabilities framework, the Dynamic Competition paradigm, and the Profiting from Innovation model, which have shaped research and practice in strategy, innovation, entrepreneurship, and competition policy. His work has been cited more than 269,000 times, making him one of the world's most influential scholars in business and economics. He advises governments and corporations worldwide on strategy, innovation, and technological change. In 2020, Clarivate ranked him the world's most influential scholar in management and named him a Clarivate Laureate in Economics for his contributions to innovation, entrepreneurship, and competition. In 2021, Thinkers50 recognized him as a Distinguished Management Thinker.
Sessions
Beer-Viable but Teece-Dead: The Viable System Model as the Wiring Diagram of Dynamic Capabilities
Purpose: Beer's Viable System Model and the Dynamic Capabilities framework are usually treated as unrelated literatures. They were born closer than either community remembers: Beer held adjunct professorships at the Wharton School from 1972 to 1987, a window containing Teece's Pennsylvania doctorate (1975). This paper argues the two frameworks sit on orthogonal axes — VSM a theory of organizational cybernetics, dynamic capabilities a theory of strategic adaptation — and that each supplies precisely what the other lacks. Methods: Conceptual synthesis, supported by a production implementation. We map sensing to S4, seizing to S3 decision under S5 policy, and transforming to the recursive reconfiguration of all five systems audited by S3*; we show Beer's recursion principle is the missing scaling theorem of dynamic capabilities, and the algedonic channel its missing emergency primitive. Findings: A firm can be Beer-viable and Teece-dead — operationally sound while losing every race — but cannot be Teece-strong without being Beer-viable. AI removes the constraint that stopped Beer: microfoundations can now be encoded, composed, and audited as executable primitives, with requisite variety measured rather than asserted. We report evidence from a production implementation, including the first computational realisation of Beer's Team Syntegrity. Implications: The theory of the firm should be stated in three jointly necessary layers — transaction-cost, capability, and cybernetic. Beer's revival may be one of the quiet intellectual stories of the AI era; his centenary is the moment to make it loud.