A recent discussion on Twitter on complexity triggered me to write this post. Clearly, it is a subject that is being interpreted in many (3?) ways. Complex, chaos, simple, complicated, anarchy, all terms that are being compared in order to try to understand what they (should) mean. Some argue that you can use axes and create a spectrum, where all these phenomena can be plotted upon. Others disagree with the language used, or that these levels exist for complexity. And then there are other misunderstandings or misinterpretations. For example, complexity and Complex Adaptive Systems (CAS) are not exactly the same. We’re talking about the complexity of complexity.
Good for us humans, our thinking and behavior is quite complex as well. We are able to understand complex matter, albeit when looking back. We are used to think in linear ways, especially when we try to predict things to happen. In retrospective, we are capable of understanding things (events, behavior, etc.) that can be called complex. The most important attribute of complexity is non-linearity. Quite interesting finding, when looking back to understand phenomena it seems linear, looking ahead to the future, expect non-linear behavior. Is that complexity? No, it’s just uncertainty. Quite different things. And when looking back, uncertainty is gone, one outcome emerged in favor of many, at the time possible, outcomes.
Now I’ve almost lost myself in the above paragraph. Of course, complexity is related to uncertainty. However, the range certainty-uncertainty does not classify complexity, nor does predictability. In my view, complexity can not be classified, influenced or whatever. Complexity is an attribute of the behavior of a whole, where many actors are somehow involved and influence each other.
To me, complexity is not about systems. It’s about social phenomena. We can talk about the ‘problems’ of complexity and complex behavior, rather I’d talk about the opportunities. Dave Snowden understands this very well. Like I’ve said before regarding emergence, I’d like to say the same about complexity. It’s time to accept and embrace complexity, and to develop methods to get the most out of complex social phenomena or behavior. To be able to develop these methods it is important to understand complexity, however, I think we should not try to understand complexity fully. Our understanding will become better sooner or later, but we have to deal with it now. That’s inevitable.
In a world that changes increasingly faster and faster, the perceived complexity increases with it. It becomes harder to predict the status quo even on the short-term, perhaps even that of tomorrow. The attempts to make predictions become useless. An obsolete approach.
We need to stop acting like we have control over what will happen in the future. We just don’t know. Often we are not even close. What’s the point of making predictions of the future anyway, and then trying to control what happens?
Organizations are the best example of future predictors. They keep trying to figure out the most likely scenario’s to occur based on what happened in the past. Organizations have difficulties in accepting the fact that these predictions are not only a waste of time, it’s even worse than that. They even try to understand what happened in the past based on the present situation. What happened in the past was just one of the possible outcomes. There are no parallel pasts that occurred at the same time and that have led to where we are now. Rationalizing what happened then, is like denying what could have occurred. Sometimes it helps to understand phenomena, but using that for future predictions means that the same mistakes are being made over and over again.
Again, we have to stop predicting, and start nurturing the current situation in a way that good outcomes will flourish, independent of what that outcome can be. It’s not the outcome that matters most, it’s the road to it. The road to it (where ever it will lead) is an emergent path. So many influences are on the lurk, so many that no one knows how many and what they are, that they should be dealt with along the way. They both can be positive or negative, both will have influence on the emergence.
Dealing with matter like I described above is so different then how we are used to, and not only different, but scary as well. To accept and be comfortable with uncertain paths is not suitable for most organizations nowadays. And it won’t be for the years to come probably. However, we see more and more organizations that operate in a networked environment, where many stakeholders play a role. In these situations, long-term strategies are being replaced by emergent strategies, where control does not have a place.
Coming back to the title of the post, maybe it is somewhat exaggerated at the moment, maybe it is more realistic to speak of a change from long-term goals to short-term goals. Dealing with short-term goals combined with iterative processes is a good first step towards completely letting go of control and accepting that everything is emergent. We are humans with brains that can think ahead in time, let’s not forget that important aspect of us.
A term that is used in many circumstances, is empowerment. It is used on so many occasions (both verbally and in written text), that I feel that it is misused more often than that it is used correctly. Or is it just a management fad, like BPR or TQM?
Empowerment refers to increasing the spiritual, political, social or economic strength of individuals and communities. It often involves the empowered developing confidence in their own capacities. [...] Empowerment is the process that allows one to gain the knowledge, skill-sets and attitude needed to cope with the changing world and the circumstances in which one lives.
Ok, that’s what Wikipedia reads. The post of Mike Griffiths recently triggered (or empowered?) me to rethink empowerment. I can recall some papers I’ve read some years ago at the university about the subject. I also remember the debate it triggered there, because it can be interpreted in so many ways. Empowerment can refer to both individuals and communities. It refers to empowering a person or the collective. How does this work? Some questions come to mind here:
- Is empowerment something that benefits only people without any power?
- Who is powerful enough to empower others?
- Who knows what is needed to empower someone? (perhaps only the unempowered)
- Who or what benefits from empowerment?
- Why is the term interpreted in so many ways?
- Is empowerment of an individual or group a prerequisite for self-organization?
Without answering these questions immediately, I’d like to look at some real world examples where I think that empowerment is taking place. These places have some things in common. These places generally have a leader that leads the company quite different that the common leadership practices. They are not alone and unattainable at the top of the pyramid, they make sure that employees are involved not only in their own tasks and responsibilities, they know what their clients want and make sure that their employees know as well. These and some other characteristics are practices by only a few leaders, leaders that dare to make extraordinary decisions, that give control to their employees. Companies that have some similarities with these characteristics are Zappos and Semco, for example. These are companies that make quite ordinary products, have great results, but run their companies not like their competitors do. I’d like to call these companies examples of the real empowering companies. You just feel that you would like to work for them. That makes a company a great company, if you ask me.
To come back to some of the questions I posed earlier in this post, for example the question ‘Why is the term interpreted in so many ways?‘, I can say it depends heavily on who used the term. It can be the manager that tries to make others only work harder instead of really making them really more responsible for what they do, or it can be the employee that feels like not having enough resources or information he or she needs, or to feel more involved. If empowerment is a management fad, is hard to answer. I think it can easily be or become a management fad, but some core-principles that can be attributed to empowerment are really valuable and here to stay. These are universal, humane and part of the science of empowerment.
Another question I asked in this post is ‘Is empowerment of an individual or group a prerequisite for self-organization?‘. Perhaps it is. Empowered employees are able to manage themselves, both individually or in a collective. Maybe it is self-management, however, I prefer to make use of self-organization, for obvious reasons. In the problem statement I stated some time ago, I made an assumption by stating ‘how to [...] empower employees for self-organization?‘. It seems this assumption still stands for me. To be continued…
In my last post I argued that crises are the result of complexity. While I still hold this argument, a crisis is probably a situation where complexity is at a maximum, if there is a maximum. The situation will probably not become more complex than that. A response I got on the previous post from John Marke was a reference to his paper ‘Why bad things happen to good policies‘. I will come back in more detail about his paper later, but one of the important statements is that all paradigmatic shifts are preceded by crises. That’s interesting, if complexity is followed by a crisis, and a crisis is followed by a paradigmatic shift, then complexity will be followed by a paradigmatic shift.
Complexity → Crisis → Paradigmatic shift
Complexity can be seen as a positive feedback loop towards complexity, while a paradigmatic shift is a negative feedback loop towards a ‘stable’ but new (and temporary) equilibrium. A new equilibrium in the sense that it was not predicted or a situation that was stable before. If we can speak of systems here (depends on your point of view on systems), at least we are talking about complex systems, or complex adaptive systems.
If a paradigmatic shift follows a crisis, then who or what sparks this shift to occur? It’s hard to say. In a complex environment, there is a huge network of resources that is ever-expanding. The value of a network is proportional to the square of the number of connected users of the system (Metcalfe). That makes it unpredictable where this shift is coming from, but chances are that it can come from a bottom-up, self-organized distributed sub-network within the system. A question that John Marke asks the reader in his paper is ‘how could we empower them’? First we have to identify the possible ‘we’ and ‘them’. Or shouldn’t ‘we’, and should it be more emergent? Marke poses a similar choice, adapt to the complex adaptive system, or harness complexity and have it work in your advantage.
I like his way of thinking, because either you just accept the fact that you can do anything except adapt, or understand some properties of the system (emergent, unexpected, self-organized, highly connected, adaptive). The latter has more interesting possibilities, and is more congruent with these characteristics. Remember, you are probably in this complex adaptive system as well, play a role, and have the same characteristics. It’s not something totally alien.
In this present situation, it is easy to understand that the situation is getting complex more quickly than it did in the past. That means that crises are about to occur more often, and the same is true for paradigmatic shifts. The thing we need to accept is that situations are not stable, and these ‘stable’ situations are volatile and temporary. Solutions are valid for a short period of time, almost by definition. And why do we want to reach a situation that worked in the past, while the environment around us keeps changing in a rapid pace?
This post is my answer to the paper of John Marke. He’s in the process of writing another, on resilience, the solution space of complexity as he puts it.
In the search for alternative modes of organization, I have come along a few already on this blog. In a comment on my earlier post on wirearchy, I already mentioned the concept of panarchy. Heterarchy, wierarchy and panarchy, all three are suggestions of how organization can be accomplished using alternative modes, in particular in situations where connections are easily accomplished by having online means of connecting. In this post I will try to unravel panarchy, according to Paul B. Hartzog this is a way governance can work in the network age. So what is panarchy? For the ones that have never heard of the concept before, it is the cumulative effect of the shift from hierarchies to networks is a system of overlapping spheres of authority and regimes of collective action, according to Hartzog. In short:
Complexity + Networks + Connectivity => Panarchy
The essay of Hartzog, which is a highly recommended read, explains the theoretical backgrounds and some real-world examples. I’m not an expert on this subject, but I do believe that we are reaching a point where other types of governance are better alternatives as opposed to hierarchical ones. I believe that global crises are about to occur much more often and that we should accept the fact that crises are a characteristic of our modern time. Instead of dealing with crises like we are doing today, that is fight them and trying to reach a stable equilibrium like we were used to do in the past, it is time to accept crises because of the properties of panarchy (such as complexity, networks and connectivity) are increasing and increasing, making the world more and more complex. This situation asks for systems that are complex as well, and not rigid, but rather flexible or fluid, like water that adapts to its environment. Water is a great metaphor here, it is strong, adaptive, and has some characteristics that always work within the same conditions. If we see situations we call crises now as reality and a logical result of increasing complexity, we don’t have to call these situation crises anymore.
So can panarchy be something like governance in the network age? That is a question which I find quite hard to answer. Is it a form of governance that encompasses all other forms? Or better, is there a form of governance that encompasses all other forms? Yes, you can call the shift panarchy if you like, but what’s the use of that? The paper I referred to does a great job in explaining what panarchy is, and Hartzog argues that it has the potential of becoming the dominant form of governance in the future. The importance of debates like this in my opinion is that many people still work and make big decisions that worked out well in earlier times, but not that good in the present time and not all in the future. The shift that we’re in, that the world is in, ultimately will lead to different modes of organization and governance. Power is more distributed, people are more connected and knowledge is created and transported in networks. Maybe one of the most important things that is happening, is that decision making is changing. It is changing in terms of who are able to make decisions because of where the knowledge is available, who can make the better decisions because of where the most accurate knowledge is available, and who are able to distribute the knowledge to let others make the decisions.
Ok, admitted, the end of the previous paragraph is nothing more than elaborating on the beginning of the previous paragraph and does not directly contribute to the main question here, but that is because (tacit) knowledge and decision-making are closely related to complexity, networks and connectivity, or panarchy if you like. And if the best decisions should be made, governance is important as well as organization. In addition to heterarchy and wirearchy, can panarchy help us as well?
We all know that hierarchical organizational forms are less and less effective and realistic at the present time. Even in the past this form of organization was being criticized by many. Power and authority are not exclusive for the top of the pyramid. People in organizations form relationships with more people, from inside and outside the organization. Organizational bounds are blurring, and the same is true for the bounds of departments. People choose with whom they interact, communicate, and who they trust. Hierarchical organizational forms do not fit in this picture.
In response to hierarchy, we see many terms and concepts that explain different forms of organization. I already mentioned heterarchies, and there are many more that describe networked forms of organization, such as peer-to-peer and panarchy. Another one, one that Harold Jarche pointed me to earlier in my quest, is wirearchy. At the time Harold mentioned this, I’d never came across it before. Now I have had the time to read more about it and to evaluate this organizing principle, inspired by companies that organize themselves differently with result (such as Semco). So what is wirearchy? According to the ‘father’ of the concept, Jon Husband, wirearchy is:
A dynamic two-way flow of power and authority, based on knowledge, trust, credibility and a focus on results, enabled by interconnected people and technology.
This definition of wirearchy explains how many people use the web to communicate and organize things. It’s emerging, it’s reciprocal, it’s about trust, it’s about learning and about creating knowledge. And about many more things. The most important characteristic is the flow of information. Information now flows more like water or air, which means it can reach us all very fast, like an epidemic. Key is to negotiate meaning with each other to learn and to gain knowledge, using the continuous flow of information.
Now in my quest I’m trying to pursue self-organization and online collaborative spaces. The concept of wirearchy is very much related. One can choose a place in the network, and by interacting with other peers, one can build (trusted) relationships and learn from the (global) network. The network extends our knowledge. The question I’m always struggling with is, does it really work that way if many organizations are organized like this? I mean, many organizations are still large and top down and have clear boundaries. When many organizations shift towards a wierarchy or network, will it be ‘better’? The opportunities are numerous, obviously. But are these ideas still in a pioneering stage? Which organizations will set the trend, if needed at all? How do we reach the tipping point of organizing in a different way? What is needed (apart from the infrastructure, which is there), and who is needed? Maybe we’re still not ready to reach that point, or better, maybe we are very close to that point, but perhaps we can not identify this yet. The future will tell…
Answering these questions is difficult, and perhaps not even needed. Predicting the future is something from the past. The world is changing too fast for that and uncertainty is too high. So discussing these subjects stays very important, in our way to understand what is going on, to learn from each other, and to stay in a constant dialogue. Is that what organizations should be after? Just have the conversations started, nurture it, and then just never let go of these conversations? Maybe it is. This can spur an organic growth of a constantly changing dynamic network. Therefore I would like to add something to the concept of wirearchy: the dynamic two-way flow should be never-ending, constantly reciprocal, in order to be dynamic and foster learning.
The last post about ‘Systems thinking’ again showed differences in understanding of the subject. Mainly when systems thinking is compared to organizations. Can we make use of systems thinking when looking at organizations? Some think we can. Some think we can’t. That’s no surprise, as it is precarious to directly compare an organization with a system. It is very much a matter of definitions. I’m not after a discussion for definitions or understanding of a concept. My assumption (due to the earlier fruitful discussions) is that an organization is not a system, but at least it can help to apply systems thinking on organizations, as it helps to apply other thinking on organizations. The complexity and uniqueness of organizations just makes it impossible to always apply one way of thinking.
What about self-organization? It is not an organization, nor a complex adaptive system, rather, it is a process where organization spontaneously increases. Recently I was pointed to the work of the Japanese professor Iba (thanks Margaret). He’s definitely a systems thinker, especially complex systems and autopoiesis. He explains that there are many differences in theories when people are referring to systems theory. I make the mistake myself, when talking about systems thinking and systems theory. Prof. Iba gives a brief history of systems theory, that developed from 1st generation systems theory to 3rd generation.
The most interesting shift is from the 2nd to the 3rd, from self-organizing systems to autopoietic systems. Iba notes that there is a clear distinction between “self-organization” and “autopoiesis” after the revolution caused by third generation. In this context, self-organization is focused on structural formation, but autopoiesis is focused on system formation. This is where Luhmann comes in. Iba quotes him:
Autopoietic systems, then, are not only self-organizing systems, they not only produce and eventually change their own structures; their self-reference applies to the production of other components as well. This is the decisive conceptual innovation. […] Thus, everything that is used as a unit by the system is produced as a unit by the system itself. This applies to elements, processes, boundaries, and other structures and, last but not least, to the unity of the system itself.
Interesting to notice is that in the thinking of Iba (and Luhmann), self-organization and autopoiesis are concepts of a system. I thought that Luhmann couldn’t help me very much, but now I have my second thoughts on that. By applying his thinking, I conclude what is important is that organization is defined by the interplay between the elements of the system (or organization). The elements (or people) itself are not important for the system (or organization) to work, but the events and as a result the change in the elements and the system (again, or organization) due to the events are what matters.
Unfortunately, I have to compare systems and organizations once more. However, I keep struggling with it, it is not very satisfying. But if we are to understand social behavior in relation to an organization a bit more, I think self-organization or even autopoiesis can be of help. That brings back systems thinking or systems theory, at least for now, because I’m not in the process of developing a new theory here.
To conclude this post, self-organization (or autopoiesis) can apparently be seen as a concept of a system. The constant processes that come into play during self-organization makes organizations (or systems) change constantly. That is, the processes, the actors, and the whole (the organization or system). That makes an organization an almost fluid ‘thing’, like a Barbapapa. Food for thought. If that is true, how can we have an online collaborative space that functions like a fluid, as it acts as an environment (or system)?
Some commenters on previous posts on this blog referred to CAS or Complex Adaptive Systems. This term is somewhat fuzzy for me, as I’ve never read about CAS before. So now is the time to do so. A first lookup in Wikipedia is always a good start, so that’s what I did. I must say, the C in CAS already becomes apparent when you look at the definitions. One of the definitions that is mentioned is the following:
A Complex Adaptive System (CAS) is a dynamic network of many agents (which may represent cells, species, individuals, firms, nations) acting in parallel, constantly acting and reacting to what the other agents are doing. The control of a CAS tends to be highly dispersed and decentralized. If there is to be any coherent behavior in the system, it has to arise from competition and cooperation among the agents themselves. The overall behavior of the system is the result of a huge number of decisions made every moment by many individual agents.
So this definition says that a CAS is a network, where many actors act for themselves in a response to their (changing) environment. If I interpret this correctly, human behaviour is a CAS as well. Almost all humans are connected to each other via a number of other humans. Or the Internet is a CAS, where many endpoints are connected to the same network, they determine the network, they are the network. Or maybe the universe and evolution as well.
My interpretation is that we use the term CAS when we do not understand the behaviour of a system or phenomenon or when it can’t be controlled. Examples that are given are ant colonies, stock markets, the ecosystem, or political parties. All are difficult to understand, if they can be understood at all, and even the actors in it probably do not understand their system that they are part of, for example the politicians in a political party or the ants in the colony. These systems or phenomena can’t be controlled, their behaviour can seem unpredictable. And that’s a good thing, the urge to control is overrated very much. Maybe some influence can be desired sometimes, if possible.
The Wikipedia article also states that the principles of self-organization and emergence are very important in these systems. The relation between self-organization and CAS became apparent in the discussion on self-organization as well. But then we come to the differences between human beings with a mind of their own, and other players like ants or cells. Can self-organization occur in an organization where people are involved? Or is it just not possible because we can think for ourselves and can act by reason? However, the latter is a philosophical discussion. Do we act by reason or by drifts for power? The philosophers Immanuel Kant and Friedrich Nietzsche thought about that very differently. So maybe this discussion is always a philosophical one.
If we go back to the definition, the C in CAS is only true when you look at the phenomenon from a birds-eye perspective. All the actors deep down in the system are probably not aware (if they could) that they are part of the system, and just follow simple rules. So from their perspectives, there is not much complexity. They adapt to their environment, like a water drip just follows the easiest path. This drip is not aware of the ecosystem that it is part of, just like the system is not aware of the single drip. However, it is possible to influence the flow of the water, because we understand the characteristics of water. But it is not possible to influence the whole system where water is a part of, it’s just too complex.
Translated to organizations, complexity is there or not depending on the perspective you’re in. The higher in the hierarchy, the more complex the organization as a whole seems to function. If you are high in the organization, you’re aware of the size of the organization, and therefore aware of the variety of actors. How they all interact, is difficult to grasp. The lower in the hierarchy, the less you are aware of all the other players that exist in the organization, and the more focussed you are on your tasks which are relatively not complex at all. Well, that’s my understanding at this point.
Many discussions about change in organizations are about the demise of hierarchies and the rise of the networks. Sure, this is a trend that can be seen, but there are not many organizations without hierarchy, and I don’t think hierarchies will diminish completely. On the contrary, hierarchies have a valid function and purpose, there are familiar and relatively simple. However what we do see, is that organizations become flatter, layers are becoming thinner or even removed, and people connect more with other people by means of technology.
Karen Stephenson acknowledges this as well, and comes with an interesting point of view: heterarchies (PDF link to article). The heterarchy consists of at least three separate hierarchies that have their own responsibilities, but must collaborate to achieve a collective good that is too complex to achieve on their own. She defines the heterarchy as follows:
A heterarchy is an organizational form somewhere between hierarchy and network that provides horizontal links permitting different elements of an organization to cooperate, while they individually optimize different success criteria.
What she seems to say, is that hierarchies have their disadvantages that are removed by networks, but either the latter doesn’t work in reality or is too complex. She’s seems to search for something is between, the best of both worlds.
According to Stephenson, it is important to have these different hierarchies engaged. Key is collaboration instead of competition. Partnerships between organizations as you wish, or between business units within large corporations. And she admits that this is not easy at all. When you try to map a large organization as a heterarchy, you have to find connectors. The table below compares the market, hierarchy, network en heterarchy on some features. It focuses on its strengths.
I am not looking for a proper definition of heterarchies, or whether you agree with Stephenson or not (well, I’m curious for that of course), but I am more interested in how you can identify people or hubs in an organization that is a connector to other parts of the organization, but not in a hierarchical way. This identification can make such organizational forms less complex. But how do you map these people? Are they certain types of people, who you can trust? Do they have to have certain positions in an organization? Stephenson suggests the following steps:
- Send out a survey where people identify other people that you think are innovative, have integrity, work hard to achieve goals, that you depend upon, and ask people who should be surveyed as well.
- Find connectors by means of interviews. People that score high on the surveys can be persons to ask questions to validate the survey.
- Connect connectors so they can exchange information, knowing that they need each other. They can connect organizational silo’s and collaborate instead of compete.
According to Stephenson there are three types of connectors, or actors in these heterarchies, hubs, gatekeepers and pulstakers. Hubs know a lot of people and act as facilitators, gatekeepers are critical connections between networks and help people to focus, and pulstakers are asked for their opinions and guard the integrity. So if you can map an organization more like a network, or like Stephenson, as a heterarchy (I’d rather call it the informal connections), what’s next? How can these hubs or connectors be more of use to the organization, how can their strengths be utilized better?