Input by Many, Decisions by ????

by Andrew McAfee on September 16, 2007

I recently posted about what I call the the Great Decoupling of information flows and decision rights within organizations: the fact that it’s now so cheap to process, store, and transmit data that there’s no need to be stingy with information by sending it only to decision makers. I wrote:

"Most of what I’ve seen recently strongly indicates that the sudden near-disappearance of information costs is bringing up a fascinating and consequential set of questions for organization designers and corporate leaders. They now have the freedom to place decision rights where they wish without being hampered by information costs. What are the long-term consequences of this great decoupling?"

In that post, however, I think I actually understated the extent to which information technology is opening up new possibilities about decision making and governance within organizations. In "The Great Decoupling" I focused only on disappearing information costs, but there’s also another very interesting development: the appearance of technologies for collecting and distilling distributed knowledge in novel ways. These include:

An internal blogosphere. I spent time recently at one of the world’s largest technology companies, talking with the people who were responsible for deploying enterprise 2.0 tools, including employee blogs. On the page that listed the most recent blog posts I saw a title something like "Why Our Recently Announced Strategy is Misguided." I was a little surprised by this, and asked the team if this level of feistiness was rare, and if the people who wrote such posts found themselves in hot water. They assured me that the answer to both questions was no. 

It struck me that I was looking at an excellent tool for gathering informed feedback on topics of interest. And there seemed to be a lot of cross-talk among blogs; employees were leaving comments for each other, posting in response to previous posts, etc. I try not to be a wide-eyed technoptimist, or to say "everything’s different now!" each time I see a new technology, but I do think this internal blogosphere was something new under the sun. I don’t see how a company, especially a large and geographically dispersed one, could hold an ongoing, public, open-to-all conversation about important topics without E2.0 tools.

Wikis. In the default configuration for mediawiki software, each page has an accompanying ‘discussion‘ page where contributors have background conversations, hash out any differences, and together decide what should go on the main page. This arrangement facilitates not only collection of information, but also convergence of opinion. The mass of high quality Wikipedia articles on controversial topics like global warming attests to the efficacy of wiki technology and the dual-page structure.

Prediction markets, which are essentially stock markets where traded securities are tied not to the future profits of a company, but instead to other future events such as the results of an election, whether or not a competitor will ship a product on time, or next quarter’s total sales. Securities in prediction markets have prices (just like shares in a ‘normal’ stock market do), and people use the market to trade with each other by buying and selling these securities.  Because traders have differing beliefs about what the securities were worth, and because events occur over time that alter these beliefs, the prices of securities vary over time in prediction markets. 

In his seminal 1945 article "The Use of Knowledge in Society" the economist Friedrich Hayek highlighted how important markets and prices were, and it’s worthwhile to quote from the article at some length:

"The… problem of a rational economic order is… that the knowledge… of which we must make use never exists in concentrated or integrated form but solely as the dispersed bits of incomplete and frequently contradictory knowledge which all the separate individuals possess. The economic problem of society is… a problem of the utilization of knowledge which is not given to anyone in its totality.

We must look at the price system as such a mechanism for communicating information if we want to understand its real function… The most significant fact about this system is… how little the individual participants need to know in order to be able to take the right action… It is more than a metaphor to describe the price system as a kind of machinery for registering change, or a system of telecommunications which enables individual producers to watch merely the movement of a few pointers, as an engineer might watch the hands of a few dials, in order to adjust their activities to changes of which they may never know more than is reflected in the price movement…

The marvel is that in a case like that of a scarcity of one raw material, without an order being issued, without more than perhaps a handful of people knowing the cause, tens of thousands of people whose identity could not be ascertained by months of investigation, are made to use the material or its products more sparingly; i.e., they move in the right direction…

I have deliberately used the word "marvel" to shock the reader out of the complacency with which we often take the working of this mechanism for granted. I am convinced that if it were the result of deliberate human design, and if the people guided by the price changes understood that their decisions have significance far beyond their immediate aim, this mechanism would have been acclaimed as one of the greatest triumphs of the human mind."

In his book The Wisdom of Crowds, James Surowiecki echoes these points, applies them to companies, and wonders why more managers are not prediction market enthusiasts: "Corporate strategy is all about collecting information from many different sources, evaluating the probabilities of potential outcomes, and making decisions in the face of an uncertain future.  These are tasks for which [prediction] markets are tailor-made.  Yet companies have remained, for the most part, indifferent to this source of potentially excellent information, and have been surprisingly unwilling to improve their decision making by tapping into the collective wisdom of their employees."

All of these technologies help accomplish a critical task: aggregating relevant knowledge in ways that were not previously possible. And this is where things get really interesting because as I wrote earlier, the Golden Rule for decision making is that decision rights should be aligned with relevant knowledge. 

Well, if E2.0 tools let crowds come together and aggregate their relevant knowledge, why shouldn’t companies take the next logical step and also use the tools to let the crowds themselves make decisions related to this knowledge? Why shouldn’t companies, for example, just automatically convert their prediction market’s consensus opinion for next quarter’s sales into purchasing and replenishment orders to factories? Why shouldn’t they let all employees use a wiki to collectively design their next generation of products? In short, if crowds really are wise, shouldn’t crowds make important decisions?

Friedrich Engels didn’t think this was possible. In an 1872 letter to Theodor Cuno, Engels disparaged the anti-authoritarian views of a rival school of socialists: 

"How these people propose to run a factory, work a railway or steer a ship without having in the last resort one deciding will, without a unified direction, they do not indeed tell us."

In a 2006 seminar to my academic area at HBS, MIT’s Tom Malone showed a video that gave a technology-based answer to Engels’s skepticism. It showed the attendees at a conference trying to landing a plane by committee, using nothing but paddles that were red on one side, green on the other. Technology in the conference room continuously watched the paddles and moved an on-screen device according to the will of the majority. In his book Out of Control, Kevin Kelly described what happened when the on-screen device became a plane headed for a distant runway:

"Loren Carpenter launches an airplane flight simulator on the screen. His instructions are terse: "You guys on the left are controlling roll; you on the right, pitch…" The plane is airborne. The pilot is…5,000 novices. For once the auditorium is completely silent. Everyone studies the navigation instruments as the scene outside the windshield sinks in. The plane is headed for a landing in a pink valley among pink hills. The runway looks very tiny…

Nobody decided whether to turn left or right, or even to turn at all. Nobody was in charge. But as if of one mind, the plane banks and turns wide… The mob decides in unison, without lateral communication, like a flock of birds taking off, to pull up once more. On the way up the plane rolls a bit. And then rolls a bit more. At some magical moment, the same strong thought simultaneously infects five thousand minds: "I wonder if we can do a 360?"

Without speaking a word, the collective keeps tilting the plane. There’s no undoing it. As the horizon spins dizzily, 5,000 amateur pilots roll a jet on their first solo flight. It was actually quite graceful. They give themselves a standing ovation."

The video provided a vivid demonstration of what Malone meant when he wrote in The Future of Work  that "With new… technologies… it is now becoming economically feasible –  for the first time in history –  to give huge numbers of workers the information they need to make more choices for themselves."

But the video also showed something else, something that I at first overlooked because I was so impressed at the sight of 5000 novices flying a plane: the crowd actually fails, twice, to land the plane properly.  As Kelly writes (in a passage I largely omitted from the extract above):

"But group mind seems to be a liability in the decisive moments of touchdown, where there is no room for averages. As the 5,000 conference participants begin to take down their plane for landing, the hush in the hall is ended by abrupt shouts and urgent commands. The auditorium becomes a gigantic cockpit in crisis. "Green, green, green!" one faction shouts. "More red!" a moment later from the crowd. "Red, red! REEEEED!" The plane is pitching to the left in a sickening way. It is obvious that it will miss the landing strip and arrive wing first… [T]he flight simulator entails long delays in feedback from lever to effect, from the moment you tap the aileron to the moment it banks. The latent signals confuse the group mind. It is caught in oscillations of overcompensation. The plane is lurching wildly. Yet the mob somehow aborts the landing and pulls the plane up sensibly. They turn the plane around to try again…  It tries landing again. Again it approaches cockeyed. The mob decides in unison, without lateral communication, like a flock of birds taking off, to pull up once more."

This example shows, I think, the danger of becoming too enamored of crowd wisdom. We now have novel and powerful technologies for aggregating formerly dispersed knowledge and tapping into the wisdom of crowds. I agree with Surowiecki that these tools are currently underexplored within companies, and much of my teaching and writing at present aims to show business leaders new opportunities and encourage experimentation. 

But I don’t think I’ve ever said "turn over as many decision rights as possible to the crowd assembled by Enterprise 2.0 technologies." This would be extraordinarily rash advice. There are many good reasons to assign important decision rights clearly and cleanly to individuals within companies, and we should proceed very carefully indeed before we move away from this practice. 

These individuals, however, should in turn think carefully before turning their backs on technology-enabled aggregated knowledge and crowd wisdom as inputs to their decision making processes. Smart business decisions are competitive differentiators. Why pass up a good opportunity to get smarter when making them?

{ 8 comments… read them below or add one }

Jed Christiansen September 17, 2007 at 11:14 am

Hello, Professor McAfee.

You certainly got it right in this post. Prediction markets and similar “Wisdom of Crowds” tools are able to provide decision makers with a wealth of data from their employees and industry partners. This data is consistently better that data generated through other means.

However, I spent several years as a submarine officer in the US Navy, and you cannot run a nimble organisation and make decisions by committee. While prediction markets and other tools provide better data (and more importantly, communicate major mis-understandings between employees and executives), decisions cannot be delegated this way.

So again, thank you for a very coherent message. I hope more companies start taking advantage of collective intelligence tools!

Best regards,
Jed Christiansen
Managing Director, Mercury Research & Consulting

Lars Haugstad September 19, 2007 at 5:10 pm

I would have loved to see this collective flight simulation in person, but I live vicariously through Kelly´s description. It is a good metaphore for taking the collective decision making too far. Perhaps a group would be best at throttling. Perhaps another would succeed with the flaps. Perhaps yet another group would be best with the rudder. Delegating the decision power into smaller groups that possess better competence pertaining to the task at hand would be a better way to land this aircraft – and to run a company. Who is to say that web 2.0-enabled decision making tools must allow everyone the same authority?

Atul Rai September 20, 2007 at 2:03 am

Hi Andrew,

Thanks for a very interesting post. One point I wanted to mention was the one about James Surowiecki wondering why more managers are not interested in the preiction market.

One of the reasons, I think, is that in organizations, usually managers tend to develop a comfort zone, and it becomes an area which they are reluctant to move out of. Which means, that the accepted policies, or norms, are what they would go by, and its not necessary that all information is processed either.

Thanks, Atul.

Anshu Sharma September 23, 2007 at 12:10 am

Andrew,

Great post.

The example of the company with a post on misguided strategy is almost incredulous. And therefore, impressive.

The key questions that come to mind, and perhaps you could address in future posts:

1. Can existing organizations change and adapt especially if they are highly profitable, or will this only happen at new-age companies?

2. Are there certain sectors where this is more applicable (retail) than others (banking)?

3. How does the incentive structure need to change in light of new ways of doing work? After all, if the techie can now help find a customer and close a deal- should he get compensated on it like a salesman? If the salesperson suggests a product feature, should she be given a bonus?

Pankaj Chawla September 26, 2007 at 5:55 am

Hi,

Very interesting post and the reason why organizations arent using the collective wisdom of the employees is probably also from the basic needs of humans to be important. The reason why a CEO will like to keep that decision making with himself is because it fulfills his need to feel important. As soon as you hand over that to a mass you become one of the masses. You might still be using that mass information to make decisions but since you have exposed yourself to a bigger mass your importance within that group takes a hit. That is why you want to restrict that information gathering group to a select few whom you call your Vice Presidents and Directors. These people in turn maybe be having Managers within there groups for information accumulation who in turn will actually have a 10-15 workers each and those 10-15 people together for each team are the real mass. So you still end up getting the same information but you setup a structural information routing path which helps people filter information at each level which they find unimportant. This very act of filtering out unimportant information gives the feeling of importance (and a purpose and motivation) to people at each level.

SimonCarswell September 30, 2007 at 5:48 pm

Andrew,

As I see it, there are two different E2.0 approaches described in your anecdotes: structured and unstructured. The structured approach equates in this instance to voting. Whilst this has potential to avoid bad individual mistakes and to create a degree of coherent action, it shares at least one problem with voting in the political sphere: poor turnout. It might seem that employees would be at least as motivated to vote as electors, but I doubt this, unless they can see and believe that action based upon their vote will directly follow. It is a major challenge for business leaders to create this belief.

The unstructured approach that which you illustrate by the ‘publish and be damned’ internal blogs. A corporate culture in which blogs (and bloggers) criticising the strategy can survive and thrive is, I suggest, a rare thing. Call me a pessimist, but I expect it to continue to be so.

I really do wish corporations could adopt both types of intiative that you mention. But I remain sceptical.

Vince Kellen October 1, 2007 at 9:23 pm

Knowing the difference between the wisdom and the ignorance of crowds is not just a matter of empirical research. For every day individual decision making, it is the stuff of, well, wisdom.

Sonja Bakker November 18, 2007 at 7:09 pm

Typical dutch, measuring is knowing… And while measuring you MAY predict, but from some positions it is simply better to look away from that.

Unfortunately ;-)

Ilona

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