Peter Cappelli’s “Talent On Demand”

There is a compelling scene in HBO’s quasi-fictional Western, Deadwood, which qualifies as an instant lesson in the essentials of talent management. The 1870s mining boom town of Deadwood, which is just emerging from Wild West state-of-nature conditions, has attracted the attention of the robber baron George Hearst. Al Swearengen, the town’s incumbent strongman, adapts nimbly and switches from a governance-by-murder strategy to a more artful one, and in the process very effectively shifts power between his two key reports to reflect the priorities of the new situation. Dan Doherty, his dim and violent second from the lawless past, is gracefully shunted aside, while the more suave, but restless and underutilized Silas Adams is handed the tricky and critical “stretch” task of managing the relationship with George Hearst. Somehow, Al keeps both men motivated and loyal. Modern executives will recognize all sorts of very current themes in this little vignette. So how do you master these timeless elements of talent management, while operating in modern business conditions? You read Talent On Demand by Wharton’s Peter Cappelli, a book that completely validates my belief that talent management is the issue of the next decade (the purchasing function ranks a close second).

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Work-Life Chemistry and How to Measure It

Let’s say you go on a business trip to the city where your favorite cousin lives, who you haven’t seen for a decade. You enjoy a nice dinner together one evening. In utility terms, this is positive work-life chemistry – your company doesn’t pay anything extra, and you essentially got a freebie family visit. Or maybe you’ve been meaning to read a book, but haven’t been able to find the time. Then the book suddenly becomes critically relevant to your work, and your boss demands that you read and present a summary at the next team meeting. So you spend a few afternoons at your desk, at work, reading it. Work-life chemistry happens when episodes of work-life blending lead to a non-zero sum outcomes. I made up a way to measure and visualize your work-life chemistry. Here is what it looks like. If the arrow in the diagram below is in the reddish zone, as in this example, you are blending work and life positively. In the blue zone, work-life chemistry is draining you (thinking “dampening” if you like). Let me explain how this works, and show you how to sketch out your diagram and arrow.

chem1.png

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Dipity, Or, How to View Time, 2.0

For history buffs like me, a rich understanding of the temporal structure of the world is very important, almost more so than its spatial structure. Timelines to me are in some ways vastly more interesting than atlases and maps. More generally, I (like I suspect, many others), have been watching jealously while creative programmers have been making up great “2.0” style visualizations, and wishing I could use their tools. Today, a startup named Dipity made my day by creating a fantastic time-line visualization tool, which I used to create this visualization of the history of my employer, Xerox. I absolutely love it when a company does just one thing, but does it really well. Wikinomics.com has a great interview with the co-founder, Derek Dukes. I hope this is the start of a whole new ecosystem of startups that creates a riot of visualization tools for everybody to use. Next request: somebody create a tool for user-generated cartograms please.

[Visualization here; temporarily un-embedded]

Happy First Birthday, Ribbonfarm

Recently I took my usual mile-long walk to my neighborhood Starbucks, in suburban Rochester, something I often do when I need a physical rhythm to help tame runaway thoughts. I sat on the patio, sipping my drink, watching the sun set behind Bill Gray’s restaurant. Cars and Harley Davidsons (upstate New York is biker country) occasionally rumbled by. At some point, the scene quietly turned magical and surreal. The buzz of the other coffee drinkers’ conversations faded. The sunset acquired a sudden stillness. I took a picture with my cellphone.

Hard Road

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From Bubbles to Cloud: The Evolution of Enterprise 2.0

Since New York Times columnist/blogger Marci Alboher just praised my ‘whimsical and thoughtful’ drawings and my previous article was all text, I thought I’d better hurry up and invite NYT readers onboard with a whimsical-and-thoughtful. Here’s my attempt at a right-brained model of Enterprise 2.0 capability maturity:

Bubbles to cloud

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Theory W, Theory X and Theory Y

For real estate agents, it is location, location, location. For businesses, it is talent, talent, talent. Neither of Douglas McGregor’s classic pair, Theory X and Theory Y, works anymore, and neither does any clever combination thereof. Whether you are a free agent, or a manager in a larger company, your ability to understand and orchestrate your corner of the talent economy will make or break you and your company. Kicking and screaming, anybody with half a brain has accepted that the “fungible headcount” mental model must necessarily be replaced with a “people are unique” mental model. But this uplifting let’s-all-self-actualize strengths message has brought with it the demanding task of mass-customized management, all in the face of revolving-door dynamics. In this series, I offer up the outlines of a new beta theory, Theory W, that I hope will help, and which you’ll have to help me finish.

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The Three-Leaps-of-Faith Rule

ABDs agonize far too much about finishing, and not enough about finishing right. A successful Ph.D. experience, as opposed to a merely completed one, is one that leaves you with self-assurance, confidence in your own abilities, and full of the creativity and energy required to go after more ambitious pursuits. A completed but unsuccessful Ph.D. experience, on the other hand, can leave you cynical, broken, and effectively ruined for further research work. Many, of course, acquire “successful” mindsets via postdoctoral experiences, but you should aim to get it right the first time.
I have a magic formula for a successful Ph.D. Through the course of your doctoral work, you must make at least 3 significant leap-of-faith decisions, that turn out to be right. Here is a picture of what a leap of faith looks like:

Leap of faith

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Roundup: March 21 – June 16

Here is a quick review of the 27 articles I posted between March 21 and June 16. I have given up trying to be regular, let alone frequent, with these roundups. And to think, when I started this blog about a year ago, I thought I’d be doing weekly roundups. Ha ha. So expect these roundups when you see them (at least until I can afford to hire a regular editor, or somebody volunteers)!

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Groundswell by Charlene Li and Josh Bernoff

Probably the best thing about Groundswell: Winning in a World Transformed by Social Technologies is its cover, by Stephani Finks (I hope I linked to the right profile on Facebook). The contents aren’t too shabby either — the book officially bumps Naked Conversations from the top position in the Marketing 2.0 category in my mildly-famous World 2.0 canon post. As you know if you are a regular, I am a sucker for a good metaphor, and when it is accompanied by visual imagery that gets it just right, and clearly conveys the high concept at hand, it’s a you had me at hello situation. Let’s deconstruct the ‘hello’ for a minute, before diving into the review.

Why does this cover work so beautifully for a book about tapping into social media?

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How Geniuses Think

Guest post by Michael Michalko

How do geniuses come up with ideas? What is common to the thinking style that produced “Mona Lisa,” as well as the one that spawned the theory of relativity? What characterizes the thinking strategies of the Einsteins, Edisons, da Vincis, Darwins, Picassos, Michelangelos, Galileos, Freuds, and Mozarts of history? What can we learn from them?

For years, scholars and researchers have tried to study genius by giving its vital statistics, as if piles of data somehow illuminated genius. In his 1904 study of genius, Havelock Ellis noted that most geniuses are fathered by men older than 30; had mothers younger than 25 and were usually sickly as children. Other scholars reported that many were celibate (Descartes), others were fatherless (Dickens) or motherless (Darwin). In the end, the piles of data illuminated nothing.

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