Early Indications

Early Indications is the weblog version of a newsletter I've been publishing since 1997. It focuses on emerging technologies and their social implications.

Thursday, February 28, 2013

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Early Indications February 2013: Big Caveats Regarding Big Data Review essay Michael Mauboussin, The Success Equation: Untangling Skill and ...
Thursday, January 31, 2013

Early Indications January 2013: A Plethora of Predictions

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Longtime readers know that I have in some years written prediction newsletters, then followed up 11 months later to grade the list. This yea...
Saturday, December 01, 2012

Early Indications November 2012: How will TV be disrupted?

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No sector has been more transformed by the internet than audience aggregators. These content companies, through various means, make money fr...
Thursday, November 01, 2012

Early Indications October 2012: The State of Mobile Payment (U.S. market)

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With so many powerful players getting involved, some more standing on the sidelines, and a few wild-card startups, the smartphone-as-wallet ...
Sunday, September 30, 2012

Early Indications September 2012: Party platform comparison

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***** It should be stated explicitly that all views are my own and do not represent official policy or any other attribute of my employers. ...
Saturday, July 28, 2012

Early Indications July 2012: The Media Beast

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Those of you who have read this newsletter for a while know that it has, nominally anyway, a technology focus. While the current number ma...
Saturday, June 30, 2012

Early Indications May 2012: The limits of consumerism

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In 1968, a young reporter named Joe McGinnis covered the presidential campaign of eventual winner Richard Nixon. Nixon was determined to ...

Early Indications June 2012 Review essay: Daniel Kahneman, Thinking Fast and Slow

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In his masterful reframing of the history of science, The Structure of Scientific Revolutions , Thomas Kuhn introduced the notion of a parad...
Wednesday, May 02, 2012

April 2012 Early Indications: The Robotic Moment

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Everywhere I look, it seems, all I see are robots. Not literally, but while the Apple narrative consumes lots of headline space, there's...
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About Me

John M. Jordan
John Jordan is a professor of practice at the Syracuse University School of Information Studies. He joins the iSchool from the Department of Supply Chain & Information Systems at Penn State, where he taught in the master's and undergraduate business programs. Formerly a principal with Ernst & Young/Capgemini, he directed research at the Center for Business Innovation and the Americas Office of the CTO. John holds a Ph.D. from the University of Michigan as well as a master’s from Yale University, and graduated from Duke University. Prior to entering consulting, he won teaching awards at the University of Michigan and Harvard University; in 2011, 2012, and 2013 he was honored among the best 2nd-year MBA professors at Penn State's business school. A new book on 3D Printing was published by MIT Press in 2019. His book on robotics was published by MIT Press in 2016 and is being translated into six languages. In 2012 he published Information, Technology, and Innovation with John Wiley.
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