Forecasting based on measurement and control is losing its relevance as a tool for successful planning and organization management. In the new business climate an understanding of chaos and complexity theory will be the key to winning performance. By Jonathan Wilson. Published in Measuring Business Excellence, Volume 3 Number 3, Third Quarter 1999 Jonathan Wilson is a consultant and owner of Anabasis Consulting focusing on leadership, strategy and complexity theory in the business context. He is a visiting associate of Praxis at Cranfield Business School. He was previously commercial director of Virgin Atlantic, and head of top management development at SAS Scandinavian Airlines. Recent clients have included Barclays, BEA Systems, BT Wholesale Markets, Egg, DaimlerChrysler, KPMG, ScottishPower, Shelter, Tarmac and Thus.
Top Management’s Role
“Our philosophy is that the key to achieving competitive advantage isn’t reacting to chaos; it’s producing that chaos. And the key to being a chaos producer is being an innovation leader.
Long-term product planning is dangerous in our industry and many others because it forces companies to make wild guesses about what customers might want. We don’t Believe in planting flags way out ahead and then trying to reach them. Long-term planning weds companies to approaches and technologies too early, which is deadly in our marketplace and many others. No one can plan the future. Three years is long-term. Even two years may be. Five years is laughable. What is top management’s role in deciding which products to develop?
At Silicon Graphics, top management’s role is to make sure that the company’s organizational structure encourages our brightest technologists to maintain close working relationships with customers. Top management’s role is to divide customers into segments determined by their needs and the technology required to satisfy them. Then we put a project team in each segment and let those teams decide what to design in co-operation with their customers. As long as the teams have bright ideas and are really excited about them, our top managers stay out of the way.
We don’t pay a lot of attention to whether or not a product is still gaining market share when we decide to launch a new product. This approach is the only way to ensure that no one gets to the market first with a faster, better, cheaper product. When someone beats us to the market, which has happened only a very few times, we are embarrassed.
Our strategy is to be in a position to charge a premium but then not to do so. We want to expand and change the nature of the market.” Ed McCracken, president, Silicon Graphics, 1998
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These are key conditions for complexity theory; broad equality of power and connectivity. A few years ago I took part in an odd little experiment in Stockholm. Thousands of paper ducks were launched together and we had to predict where some particular ducks would be in two hours’ time. Of course within minutes they were all over the place, swirling around, caught in weeds or swept off in eddies. Ducks that were side-by-side |
were doomed within seconds to eternal separation. Tiny differences at the outset led to huge gaps shortly thereafter. Completely unpredictable, except that we could say broadly where they would be and broadly what state they would be in (Stockholm, in the water and wet) – in other words, there were boundaries on their state that we could predict. We could take broad measures and act accordingly even if we could control little. And that is a key to success today. We can make broad |
evaluations of the future, but we should not try to forecast in detail. Over-control merely represses possibilities, detailed forecasts are meaningless, but the fact that developments emerge outside our direct control does mean we are powerless or that we are headed for chaos and disaster. We need to watch closely to see what trends we can identify. We need to let things happen and guess the potential in the emerging patterns. |
Of course managers have real problems with this. The story is told of a truck manufacturing plant in the US which used a complexity theory algorithm in its computer to allocate trucks to bays to be painted. Although it was successful in reducing the time and cost of painting the trucks, the managers discontinued it because they could not control the process. They preferred a less efficient and effective way that they could ‘manage’. Change is changingJust at the time that change has become the dominant theme of modern management, the nature of change itself is changing. It is happening not just more quickly, but faster than ever. It is happening in new ways with more turbulence, less |
predictability. Change is no longer something ordered and controlled by the top, but can range from a surging convergence of tides sweeping through a community (East Germany and the collapse of the Berlin Wall in 1989) to a sudden unravelling of an apparently well-ordered system after the tiny failure of an apparently innocuous detail (would the First World War have started if Archduke Franz Ferdinand’s chauffeur had not made a wrong turning in Sarajevo?). The very process of organizational change is going through a ‘phase transition’ from one state of being to another. A phase transition is analogous to the turning of ice into water and water into air. At the exact point of transition you discover strange |
behaviours and it can be hard to see exactly which state a particular part is in, but there is wide turbulence and uncertainty. Phase transitions occur as a result of a change of energy flows or inputs into a system. The key cause of the changing of change in business is the acceleration of the flow of information and the exponential increase in the number of connections within and between organizations. ‘No man is an island’ and no corporation can insulate itself any longer. There is continuous interplay and feedback between and within organizations happening faster and faster (a new internet-style network has recently gone live in the US capable of transferring information 85,000 times faster than a dial-up modem) |
Demonstrations of the Principles of Complexity
Connectedness
The increase in the degree of connectedness constitutes the greatest change in life today. It is not just that there is more change than ever, but inter-connectedness has changed the nature of change itself, making it more unplannable and unpredictable, more abrupt and dynamic than before or then our traditional organizational systems can handle.
The computer network in the US transmits almost $1 trillion among various financial institutions and organizations every single day, an amount equal to about 25% of US GNP.
A simple short circuit in a switch in Hinsdale, US, collapsed telecommunications throughout the town for three weeks causing $100millions of losses.
In the late 90s The UK economy suffered the effects of recession in Asia and economic collapse in Russia. The banks acted as amplifiers of problems rather than absorbers. The dot.com bubble repeated the pattern.
A London bus strike some years ago was predicted to cause traffic chaos, but actually led to quicker drives to work because there were fewer blockages.Building a new road to ease traffic congestion in Stuttgart actually led to worse congestion as traffic piled up across junctions.
Hedging funds were evolved to reduce the risks of connectivity, but LTCM cost billions to save.
Antibiotics saved millions in the short term of 60 years, but bacteria have been around for millions of years and many have already evolved to withstand the strongest antibiotics.
It is not just happening fast. There is more of it. Bandwidth (the amount of information that can be carried simultaneously) is increasing exponentially in every communications channel. This is bringing continuing instability and unpredictability. It is a feature of chaotic systems that tiny changes create huge effects when there is repeated feedback. Reinforcing Loops and lock-ins
A feature of complexity theory that runs directly counter to much economic teaching is that instead of the laws of diminishing returns, there is often a law of increasing returns as systems ‘lock-in’ to a particular pattern due to a tiny influence at the beginning. The development of video recording cassettes is an example of lock-in and increasing returns. Betamax is the ‘better’ system, but VHS got the early edge, so more films were copied to VHS, which made it more attractive so more films were put on VHS, which made it more attractive so more people made VHS recorders which made them easier to buy and cheaper which made more people put films on VHS…. Robert Metcalfe of 3Com has calculated that the value of any network increases roughly as the square of the number of users. It is this which explains the phenomenal stock market valuations being put on internet stocks, when you |
consider that by the end of 1997 there were perhaps 30 million internet users but that new users are now signing on at the rate of 18 million a month. Long-term successful competition is about winning, not defeating. In a complex system, it is usually harmful to kill off your competitor. It may well be bringing you hidden benefits, such as stimulating the market, bringing new ideas, keeping regulators away, providing you with allies in competition with other industries, forcing innovation. Successful competition is about using competitors to create advantage for yourself. When several companies are doing this, the whole system benefits from accelerated learning and change. This is a fundamental paradigm shift for many competitors. The best aim is not to do down your competitors, but to help them thrive, just a little less than you. A competitor who is doing well is increasing market size and awareness and is unlikely to do anything silly in desperation to hurt you. A big competitor who is hurting badly can do immeasurable damage to its competitors and itself as it flails away in its distress – as British Airways showed with its attacks on Laker and later on Virgin. Why it mattersEarlier this year (1999), in a speech to the annual meeting of the Planning Forum, Ray Smith, chief executive of Bell |
Atlantic and a network pioneer in his own right, explained why his company’s much-celebrated merger with cable giant Tele-Communications, Inc (TCI) fell apart just four months after it was announced. Bell Atlantic had agreed to the merger with TCI so that it could build a nationwide network capable of delivering interactive content to the home. But the merger plan, heralded as dramatic evidence of the coming of the information superhighway, triggered a massive wave of infrastructure announcements from other companies. This wave of investment meant that the new Bell Atlantic/TCI would face more competition than its plan anticipated. More important, it reduced the strategic urgency for Bell Atlantic to build its own transmission network. “We could ride on the systems built by other telephone companies,” Mr Smith said. Talk about out-of-kilter expectations. A bold strategy to shape an industry’s future triggers a chain of events that within months renders that strategy’s rationale obsolete. The answer? Adapt to the new developments, scuttle the deal, develop a new plan – and overhaul the way you think about strategy. Corporate strategy as most organizations presently conduct it is a fiction, a fantasy, a delusion and a snare because it relies on forming a view of the future and then creating a plan to reach a defined position within that |
future. Strategizing today has to move from planning to learning and imagining. Strategies must become much simpler, giving the briefest of ‘life-rules’ that allow for the most flexible local interpretation. These life-rules must be as simple as ‘Think long-term’ or ‘Service above profits’ or even ‘Never give a sucker an even break’ if you are that type of organization. Virgin has thrived on ‘Staff above customers, customers above investors’ and ‘Try everything – back early winners cut early losers’. Hewlett-Packard lives by ‘Values stay constant, change everything else as fast as you can’. The simplest of organizations evolves towards a critical state in which small changes or incidents happen all the time. These instabilities are an inherent part of the organization’s adaptation to its environment and external stimulus. If you try to over control this, it will just build up to a super-critical point where it becomes extremely unstable. An example from nature is in national parks where fire is prohibited and artificially controlled. Fire is a natural part of the eco-system. By extinguishing small fires, natural firebreaks were lost so when a big fire starts, it sweeps across the whole prairie without hindrance. Small troubles are avoided at the expense of great disasters |
Organizations face this issue when they repress mild dissent or alternative thinking and create real resentment through lack of consultation or consideration. Repressed problems will only get worse and will erupt at the most inconvenient of times. Complexity theory explains how a new leader – who changes some connections and communication flows, who alters a few values a little, who seems to have no effect outside their circle of power – nevertheless makes enormous changes. Embedded AccidentsPenicillin was discovered as a result of chance. Columbus was not looking for America when he hit it. Post-it™ notes were invented as a by-product of the quest for a new glue for a totally different purpose. Organizations need to encourage constant experimentation, to encourage the mistakes that occur from curiosity and trial. They need to find ways of embedding and spreading the knowledge that they gain from this activity. You do that by celebrating failure, not criticising it, by rewarding people who take risks rather than restricting them. You have to do it for real. As a senior manager in an organization |
that supposedly includes risk taking as one of its core values put it ironically, “That’s so long as the risk doesn’t prejudice your numbers”. Many senior managers in large organizations learned their management style and strategy in a different, more ordered and plannable environment than exists today. Traditional command and control methods and linear forecasting are rapidly becoming obsolete. Today’s world is characterized by communication, connection and dynamic tension. New theories and techniques havedemonstrated that long-term success depends on the ability to adapt quickly, to allow new possibilities to emerge and to win without making others lose. Learning and agility with a solid values base are the hallmarks of success. Complexity Theory and Chaos Theory explain why and how the world is the way it is and they offer tools to managers about how to succeed. As all new approaches they require learning, practice and application. When applied though, they make management much easier and less stressful for both managers and the managed. They allow new possibilities to develop and they generate authentic engagement of all stakeholders in the change process. |
Complexity Issues Check List
If you recognise any of the above issues in your organisation, an approach based on complexity theory will help you.
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