“The Perils of the Imitation Age”, Harvard Business Review, 2004.

Order online through the Harvard Business Review website or request a free reprint from Icosystem.

imitation promotes instability and unpredictability. That is because imitation, by definition a multiplier, can swell a single opinion into a mass movement or catapult the smallest player to the forefront of a market. Where does a fad start? How does a bubble grow? These are collective phenomena that cannot easily be anticipated, planned for, or controlled. Thus, the rise of imitation injects new uncertainty into an already uncertain world.

“Expecting the Unexpected: The Need for a Networked Terrorism and Disaster Response Strategy”, Homeland Security Affairs, 2007.

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Hurricane Katrina focused attention on improving the command-and-control management response to natural disasters and terrorist attacks. But what if the command-and-control approach itself is so fundamentally mismatched to dealing with unpredictable, rapidly-changing circumstances (including the incapacitation of command personnel and technology), commonplace in natural disasters or terrorist attacks, that, even if improved, it is still unequal to the task?

“Understanding and Managing Complexity and Risk”, MIT Sloan Management Review, 2007.

Order online through the MIT Sloan Management Review website or request a free reprint from Icosystem.

In the past, companies have tried to manage risks by focusing on potential threats outside the organization: competitors, shifts in the strategic landscape, natural disasters or geopolitical events. They are generally less adept at detecting internal vulnerabilities that creep into organizations and other human-designed systems. Indeed, as companies increase the complexity of their systems – products, processes, technologies, organizational structures, legal contracts and so on – they often fail to pay sufficient attention to the introduction and proliferation of loopholes and flaws. Ericsson, Barings Bank and Comair are but a few examples of companies that have suffered disastrous breakdowns in their complex internal systems.

“Making Interactive Evolutionary Graphic Design Practical”, Computational Intelligence, 2008.

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The goal of interactive evolutionary design is to marry the exploratory skills of evolutionary computation with the aesthetic skills of the human as selective agent. A user who sees a pleasing element but who is unable to retain it in the design is likely to get frustrated with the system very quickly. The goal should be to develop a tool that is complementary, perhaps supplementary, to the designer. The designer should be in control, either using the tool to generate some initial ideas or using interactive evolution to explore the design space around an already existing idea. The designer must be the most powerful driver of the system through the design space.

“When Intuition is Not Enough: Strategy in the Age of Volatility”, Center for Business Innovation, January 2003.

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Managers have long relied on their intuition to make strategic decisions in complex circumstances, but in today’s competitive landscape, your gut is no longer a good enough guide. The pace and scale of change, the speed and diffusion of innovation, and the volatility of financial markets are all increasing, while globalization is making an already dense web of business connectivity even denser. The results are unexpected phenomena and seemingly unpredictable collective events–ranging from fads to the sudden collapse of entire industries to stock market bubbles and bursts– that are emerging more frequently to disrupt the operating environment. Intuition, the ability to use your experience and history to discern patterns where other people may see nothing, is not only unlikely to help, it is often misleading. Human intuition, which arguably has been shaped by biological evolution to deal with the environment of hunters and gatherers, is showing its limits in a world whose dynamics are getting more complex by the minute.

“Swarm Smarts”, Scientific American, March 2000.

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Each insect in a colony seems to have its own agenda, and yet the group as a whole appears to be highly organized. Apparently the seamless integration of all individual activities does not require any supervision. In fact, scientists who study the behavior of social insects have found that cooperation at the colony level is largely self-organized: in numerous situations the coordination arises from interactions among individuals. Although these interactions might be simple (one ant merely following the trail left by another), together they can solve difficult problems (finding the short- est route among countless possible paths to a food source). This collective behavior that emerges from a group of social insects has been dubbed “swarm intelligence.”

“Inspiration for Optimization from Social Insect Behaviour”, Nature, 2000.

Order online through the Nature website or download a free reprint (PDF).

Increasing the Rate of Innovation

“Compared to a standard 40 months and roughly $25 million, …[we] reached the same amount of technical success in a year and a day with a total expenditure on the order of $2.7 million.”

–Neil Bodick, COO, Eli Lilly Chorus

Eli Lilly contracted with Icosystem to create a comprehensive computer model of Chorus, a large pharmaceutical R&D organization. Chorus was used to study how and where bottlenecks interfere with the development process and are “exacerbated by the flux in prioritization in portfolio management, [which] essentially sends ripples through the system.”

Forecast the Impact of Marketing on Brand and Opinion

Today’s consumer has become the brand curator: word-of-mouth, buzz, viral marketing, social networks, blogs, and opinion sites. These and other forms of social interaction are thought to influence at least two-thirds of all purchasing decisions. Yet few methods exist to help you measure their impact. Even fewer methods help you understand how they might impact sales, marketing and other parts of your business. That’s why Icosystem’s ability to capture and predict these kinds of consumer behaviors is so important. Icosystem’s Concentric(TM) Platform enables you to understand your consumer and direct your business in ways never before possible and ways that have a measurable impact on your marketing ROI.

“A More Rational Approach to New-Product Development”, Harvard Business Review, 2008.

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Companies often treat new-product development as a monolithic process, but it can be more rationally divided into two distinct stages: a truth-seeking early stage, focused on evaluating novel products’ prospects and eliminating bad bets, and a success-seeking late stage, focused on maximizing the value of products that have been cleared for development. Recognizing the potential of this approach, in 2001 Eli Lilly designed and piloted Chorus, an autonomous experimental unit dedicated solely to early-stage drug development. Chorus looks for the most likely winners in a portfolio of molecules (most of which are destined to fail), recommending only the strongest candidates for costly late-stage development.

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