Geoffrey G. Parker

Academic Appointments
  • Charles E. Hutchinson '68A Professor of Engineering Innovation

  • Executive Director, Master of Engineering Management Program

Geoffrey Parker is the Charles E. Hutchinson '68A Professor of Engineering Innovation at Dartmouth and is faculty director for the Arthur L. Irving Institute for Energy and Society. As faculty director, Parker oversees all academic engagements and programs of the Institute. He is also a research fellow at MIT's Initiative for the Digital Economy where he leads platform industry research studies and co-chairs the annual MIT Platform Strategy Summit. He received a BSE from Princeton and MS and PhD degrees from MIT. Before joining academia, he held positions in engineering and finance at GE. Parker is a leading expert on network economics and platform business strategies and has made significant contributions as co-developer of the theory of "two-sided" markets. He is co-author of the book "Platform Revolution," published in ten languages. Parker won the Thinkers50 2019 Digital Thinking Award, along with Marshall Van Alstyne, for the concepts of the inverted firm, two-sided markets, and how firms can adapt and thrive in a platform economy. Parker's current research program explores platform applications to energy systems, manufacturing, and logistics. In Spring 2020, he was elected as a fellow of the Production and Operations Management Society. In Fall 2020 he joined the World Economic Forum's Global Future Council on Advanced Manufacturing and Production. He also served on an expert panel of the European Commission to provide commentary and feedback on the EU Digital Markets Act. Parker is a frequent keynote speaker and advises senior leaders on their organizations' digital transformation and platform strategies.

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Contact

603-646-9075
Murdough, Room MU-327
HB 8000

Education

  • BS, Electrical Engineering and Computer Science, Princeton University 1986
  • MS, Electrical Engineering (Technology and Policy Program), MIT 1993
  • PhD, Management Science (Operations Management, Statistics), MIT 1998