I wonder if the distinction that the course draws between complexity in nature and social complexity is right. The complexity of systems in nature, could be seen (and is by many) as just as complex as social systems. The issue seems to be one of detail, and perception. I raise this because the way that the course deals with the subject - in a 'reductionist' way worries me a bit.
Complexity 'theory' is not less defined than chaos theory – it’s a big subject, but it is considered (by some) to be more intractable. Complexity in relation to marketing refers to decision making by both sides of a relationship that are constrained by histories, so complex and unique that they are more than just intractable. When something has no simple yes/no answer, it can be said to be intractable, but the nature marketing means that the assumptions of reality (episteme) of one entity are interacting with the those of another. This is like the effect of a double pendulum, whose movements are complex until the they reach a level of dynamic that they are said to become chaotic. http://scienceworld.wolfram.com/physics/DoublePendulum.html
In a network – the interactions are even more unpredictable…more pendulums, more influences on the simple dynamic, less predictability.
What we've been studying used to be called 'systems theory' which is a collection of interdisciplinary theoretical frameworks about complex adaptive systems. Complex adaptive systems are things like bee colonies, the immune system, the ecosystem and of course the social terrain within, and for which our organisations exist. According to Pascale (1999) In order to qualify as a ‘complex adaptive system’, an entity must pass 4 tests:
1. It must be comprised of many parallel acting agents. These are not controlled hierarchically
2. It is in continuous re-organisation
3. It is subject to the second law of thermodynamics, exhibiting entropy – and ‘winding down’ over time unless replenished with energy
4. It exhibits a capacity for pattern recognition that it uses to adapt to its environment
Complex adaptive systems are at risk in equilibrium. Yet the pull of equilibrium to managers is highly seductive as it is disguised by strong brand values or a close knit culture. It is THIS that we should be aware of surely. The oscillations of ‘bounded instability’ are to be celebrated as opportunity and embraced. Self organisation arises out of the intelligence in the nodes of the constantly re-organising network. It is not hierarchical and as such we cannot direct it, or control it, only ‘disturb’ it.
Because they are self organising, and because they are marching to a drum that is among a great many other beating drums, they don't submit to easy analysis. From a marketing perspective, it is generally agreed that they are characterised by weak cause-effect linkages, and phase transitions in the oscillations of those pendulums can create disproportionate changes…or non at all. Positive or negative.
In the natural sciences, the search to understand self-organization derives from a very large question. How does life create greater order over time? Order is the unique ability of living systems to organize, reorganize, and grow more complex. But theoretical biologist Stuart Kauffman has demonstrated that the inevitable desire to organize is evident even in a non-living system of light bulbs. Kauffman constructed a network of 200 light bulbs, connecting one bulb to the behaviour of only two others (using Boolean logic). For example, light bulb 23 could be instructed to go on if bulb 46 went on, and to go off if bulb 67 went on. The assigned connections were always random and limited to only two. Once the network was switched on, different configurations of on-and-off bulbs would illuminate. The number of possible on/off configurations is 10 to the 30th, a number of inconceivable possibilities. Given these numbers, we would expect chaos to rule. But it doesn't. The system settles instantly (on about the fourteenth iteration) into a pattern of on/off bulbs that it then continues to repeat.
http://www.margaretwheatley.com/articles/irresistiblefuture.html
Kauffman’s subsequent work illustrates that the more connections that there are to each node in the boolean net, the greater the tendency towards chaos. But there’s a hook here. The simplification of a random principle in this way shows that a pattern emerges in a discernable time frame, but the addition of a few extra connections renders the pattern more difficult to see. It doesn’t mean that there’s no pattern – and if there’s a pattern, presumably, it could be tested in a mathematically rigorous way if that did it for you.
This is what Oliva et al (1992) are suggesting with the ‘purchase response model’ – which attempts to model behaviour (particularly loyalty relative to satisfaction) around the complexities of divergence, catastrophe, hysteresis, bimodality and inaccessibility.
There is a place for a reductionist approach in complexity, but as Stapleton and Ali suggest this on page 79 of unit 2, it is probably as metaphor – at least for most of us. Thinking of these things seems to require a certain distance, as if one needs to stand back to gain appreciation of the form.
Beinhocker (not referenced in the course material to my knowledge) argues that “strategy development inherently requires managers to make a prediction about the future. Based on this prediction, managers make big decisions about company focus, the investment of resources, and how to coordinate activities across the company. Yet developing strategies based on narrow predictions about the future is like trying to put out a fire with gasoline”
Eisenhardt and Brown’s recommendation for ‘time pacing’ rather than ‘event pacing’ therefore seems backward to me. We spend all this time getting our heads around discontinuity and the reflexive nature of networks and self organising systems – and then this idea (it seems to me) flies in the face of all that! If, as Stapleton and Ali suggest, the natural order of things is to be ‘event driven’ (page 97) – doesn’t that suggest that to be ‘time driven’ is ‘un-natural’?
From a theoretical perspective, all this complexity stuff is enthralling, and enlightening. From the perspective of a manager trying to do the job right here and now, its almost irrelevant. I say this because, as Kauffman’s experiment illustrates, each sub unit of each network is dependent in some real way on the units to which it is connected. If the other units don’t GET complexity theory, then the decisions that they make will not be cognisant of it either. Now if you happen to be the Boss, like Steve Miller at Shell, you can ‘make it OK’ to fly in the face of convention – but for the rest of us- its back to reductionism….as our current swatting is testament to.
(I failed my Art History dissertation at art college because (it was about Dada-ism) I tore it into little pieces and presented in a tesco’s bag – (as they might have done at the time of the Dada movement). I got 0% No one had ever got that before. The moral is that we have to boil down all this lovely stuff into – ‘complexity is less mathematically rigorous than chaos’ or something so ‘small’ that it’s a bit like calling a rainforest ‘green’. It is, but its SO much more too.
Beinhocker, E.D. (1999). Robust adaptive strategies. Sloan Management Review, 40(3),
95-106.
Pascale, R.T., Milliman, M. and Gioja, L. (1999)”Surfing at the edge of chaos”, Three rivers press.