Tom Peters’ Re-Imagine excellence!



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A BRAND YOU World

  • Circa 2013+: Multiple Choice Examination
  • You will you lose your job to;
  • choose one …
  • Offshore contractor?
  • Advanced high-speed algorithm?
  • Robot?
  • A re-tooled value-added “Brand You”?
  • Source: Derived primarily from Dan Pink

Globalization1.0: Countries globalizing (1492-1800) Globalization2.0: Companies globalizing (1800-2000) Globalization3.0 (2000+): INDIVIDUALS COLLABORATING & COMPETING GLOBALLY Source: Tom Friedman/The World Is Flat

  • Muhammad Yunus: All human beings are entrepreneurs. When we were in the caves we were all self-employed . . . finding our food, feeding ourselves. That’s where human history began . . . As civilization came we suppressed it. We became labor because they stamped us, ‘You are labor.’ We forgot that we are entrepreneurs.” —Muhammad Yunus/
  • The News Hour/PBS/1122.2006
  • “The ecosystem used to funnel lots of talented
  • people into a few clear winners. Now it’s funneling lots of talented people into lots of experiments.”
  • —Tyler Willis, business developer, to Nathan Heller in “Bay Watched:
  • How San Francisco’s New Entrepreneurial Culture Is
  • Changing the Country,” The New Yorker, 1014.13
  • Distinct or extinct!
  • “The prospect of contracting a gofer on an a
  • la carte basis is enticing. For instance, wouldn’t it be convenient if I could outsource someone to write a paragraph here, explaining the history of outsourcing in America? Good idea! I went ahead and commissioned just such a paragraph from Get Friday, a ‘virtual personal assistant- firm based in Bangalore. … The paragraph arrived in my in-box ten days after I ordered it. It was 1,356 words. There is a bibliography with eleven sources. … At $14 an hour for seven hours of work, the cost came to $98. …” —Patricia Marx, “Outsource Yourself,” The New Yorker, 01.14.2013 (Marx describes in detail contracting out everything associated with hosting her book club —including the provision of “witty” comments on Proust, since she hadn’t had time to read the book—excellent comments only set her back $5; the writer/contractor turned out to be
  • a 14-year-old girl from New Jersey.)
  • “We are in no danger of running out of new combinations try. Even
  • if technology froze today, we have more possible ways of configuring the different applications, machines, tasks, and distribution channels to create new processes and products than we could ever exhaust.” —Erik Brynjolfsson and Andrew McAfee, Race Against the Machine: How the Digital Revolution Is Accelerating Innovation, Driving Productivity and Irreversibly Transforming Employment and the Economy

USA 1996-2007 Highest rate entrepreneurial activity (firms founded): Ages 55-64 Lowest rate: Ages 20-34 Source: Dane Stangler, Kauffman Foundation (Economist)

“The average age of a startup founder is 40. And high-growth startups are nearly twice as likely to be launched by people over 55 as by people 20-34.” —Vivek Wadhwa, Kauffman foundation (Time/0325.13)

  • BIG DATA:
  • Re-Imagining HR?
  • “[These HP] pioneers may not realize just how big a shift this practice is from a cultural standpoint. The computer is doing more than obeying the usual mechanical orders to retain facts and figures. It’s producing new information that’s so powerful, it must be handled with a new kind of care. We’re in a new world in which systems not only divine new, important information, but must carefully manage it as well.” —Eric Siegel, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (based on a real case, an HP “Flight risk” PA model developed by HR, with astronomical savings potential)
  • “Flash forward to dystopia. You work in a chic cubicle, sucking chicken-flavor sustenance from
  • a tube. You’re furiously maneuvering with a joystick … Your boss stops by and gives you a look. ‘We need to talk about your loyalty to this company.’ The organization you work for has deduced that you are considering quitting. It predicts your plans and intentions, possibly before you have even conceived them.” —Eric Siegel, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (based on
  • a real case, an HP “Flight risk” PA model developed by HR, with astronomical savings potential)

Are you a “professional” when it comes to Strategic Listening?

Are you a “professional” when it comes to Using meetings as a primary leadership tool?

Are you a “professional” when it comes to Offering help?

Are you a “professional” when it comes to Effective apology?

ARE YOU A “PROFESSIONAL” WHEN IT COMES TO THE ART OF APPRECIATION?

Are you a “professional” when it comes to Hiring people?

ARE YOU A “PROFESSIONAL” WHEN IT COMES TO DEVELOPING PEOPLE?

Are you a “professional” when it comes to evaluating people?

ARE YOU A “PROFESSIONAL” WHEN IT COMES TO PROMOTING PEOPLE?




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