Self-organization as concept of a system?
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)?
Systems thinking
Inspired by the many comments on previous posts and their deferring visions (myself included) about systems, systems thinking and systems theory, I thought it was time for a post about these subjects. For now I will focus on systems thinking. We talked about whether organizations are systems or not, what systems are and are not, and if it helps to compare organizations with systems. Very precarious matter, it seemed. To me, it is precarious as well. To compare two things with each other is always tricky. Do we share the same vocabulary? Are we referring to the same? Are we oversimplifying the subject matter? Talking about organizations makes it even more trickier, because no organization is the same. The forms of organizations can differ, let alone the people who make up the conversation of organization. Think Wittgenstein here…
Like many people, I like to understand certain phenomena. If we do not understand, we tend to compare these phenomena with ones we do understand, or think we understand. That comparison should help us with understanding the more complex phenomena. While this can be a strategy that helps us, it can distract us from the important aspects of these phenomena as well. This is always a pitfall when comparing apples and oranges. However, systems thinking is not just an apple or an orange, it can make sense to make use of systems thinking to try to understand tiny parts of a larger unit, in relation to other parts.
Can’t we think of organizations as systems at all? It depends on the vocabulary we use and have in common. I think it can help to deduct to some smaller pieces present in organizations. Carter McNamara shares his view, and it contributes to my understanding. His statement on what a system is, shows the complexity of a system:
A pile of sand is not a system. If one removes a sand particle, you’ve still got a pile of sand. However, a functioning car is a system. Remove the carburetor and you’ve no longer got a working car.
The statement above is a somewhat simple example, that illustrates the complexity of a system. When you remove a lot of particles, the pile will collapse or even disappear. Translated to an organization, it becomes apparent what the problem with the comparison between systems and organizations is. Like with systems, every particle in an organization plays a role. It influences other parts. Maybe some particles can easily be removed, because they have little or no influence on other parts. The organization still works as expected, but we call it more efficient. Some particles are more difficult to replace, it has more influence on other parts and the organization will change as a result. Unlike with systems, there are no two particles alike when humans are involved. Therefore, the statement above doesn’t help me that much. The comparison is still a problem. What helps, is the statement of the same Carter McNamera when he explains why it is important to look at organizations as systems.
The effect of this systems theory in management is that writers, educators, consultants, etc. are helping managers to look at organizations from a broader perspective. Systems theory has brought a new perspective for managers to interpret patterns and events in their organizations. In the past, managers typically took one part and focused on that. Then they moved all attention to another part. The problem was that an organization could, e.g., have wonderful departments that operate well by themselves but don’t integrate well together. Consequently, the organization suffers as a whole.
This is helpful. Organizations are not systems, but it helps to look at an organization as if it were a system. Changing something in the organization always has influence on other areas in the organization. The comparison refers to complexity, both organizations as well as systems are complex. It can help to deal with the complexity of an organization. But then again, by looking at it as a system you should not make it a system, the processes that occur in organizations are not comparable to systems at all.
Complex Adaptive Systems, my understanding
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.
An introduction to the structuration theory of Giddens
The last six months we had a student from the University of Amsterdam as an intern, Bob Stukart, who did research on innovation in online communities. The aim of the research was to determine how the potential innovative output of innovation-aimed firm-hosted online communities is affected by sociological factors. For us this was relevant, because at Favela Fabric we foster innovation and collaboration. Our moderators try to facilitate this process by various strategies. One of the strategies we use is intervention, and this research contributed to this. By studying the effects of particular behavior on interaction, knowledge is created about possible interventions that may be applied to limit inhibiting behavior and facilitate creative behavior. This knowledge about consequences of particular behavior may also be valuable with regard to knowing what and how things should or should not be said by particular users. Moderators can use this knowledge for the management of such communities. This way the potential innovative output from such communities could be enhanced. His research of course was scientific as well, and this brought him to the following research question:
How do interpretive schemes, facilities and norm behavior affect innovation-related behavior in innovation aimed firm-hosted online communities?
Now I was very much taken into the research with him because I was his supervisor during this time. And that brings me to the most influencial theory which was used, the structuration theory of Anthony Giddens, which is quite abstract. I will save the results of the research of Bob for later, this post will introduce the structuration theory. The last weeks I mentioned the importance of structure, but not too rigid, such as in the post ‘Coordinated Chaos‘. The structuration theory of Giddens (1984) can help us here I think. Structure is defined by Giddens as rules and resources, organized as properties of social systems.

Giddens' duality of structure
The structuration theory of Giddens is a sociologic one. The relationship between the individual and society is of central concern to this theory. Social phenomena are neither the product of structure or agency alone, but of both. Objective social structures are defined by properties of society as a whole and autonomous human agents are defined as properties of the individual (Giddens, 1984). Giddens contends that structure and interaction are a mutually constitutive duality. This duality is somewhat comparable to the reification – participation duality from the Communities of Practice framework of Wenger.
If we look at the figure above, there are three dimensions of structure, which are signification, domination and legitimation. The three dimensions of interaction are described as communication, power and sanctions. The means by which structures are translated into actions are called modalities, which are interpretive schemes, facilities and norms. These modalities can explain why and how interaction is affected. Without going too much in detail, the first dimension refers to production of meaning (e.g. a person with a white coat in the hospital has the role of a doctor), the second to degrees of power (e.g. a police officers’ uniform enable them to fine somebody who broke the speed limit) and the third to societal norms (e.g. formal clothing during most interviews).
In short, structure is something that can be set, it’s organized at the beginning. According to Giddens, they are allocative and authorative resources, and social and formulated rules. Modality can be seen as the tools, it makes interaction possible, and can be influenced along the way. The result is that social interaction, for example on communities, is influenced by structure and the three modalities interpretive schemes, facilities and norms. The interpretive scheme translates structure into actions.
The research of Bob focuses on how this modalities can be made more concrete by the use of creativity and roles. I believe the structuration theory of Giddens helped him a lot during his study. And I think although quite abstract, the theory might help us as well if we talk about online collaborative spaces, or Enterprise 2.0. I think I will end this post here, as an introduction to the structuration theory of Giddens. And maybe we can discuss this theory here. For example, could it be helpful when designing online collaborative spaces?
Parts of this post were extracted form the thesis of Bob Stukart. A future post will zoom in on his study and the results.
Heterarchies
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?
Coordinated chaos
Why do some social media initiatives make it, and others not? The success can’t be assured a priori. Take the example of FriendFeed. I never used it, but the technology was outstanding people say. It was the first service that made use of realtime updates for example. Of course, for the founders things turned out quite well, because Facebook acquired it recently. For open social networks, mass is needed. People can choose their service freely, and positive network effects strongly influences who will win or lose. The more people you know use Facebook, the more likely it is for you to use it too, and to abandon FriendFeed for example. You’re not really locked-in like you are with using Microsoft Windows and Office, although that latter lock-in is declining with the advance of free web-based alternatives.
It is different for corporate social networks. First, it is less social. Not everybody in your life can be connected, just your colleagues. Second, there are mostly no alternatives available. The company chooses to introduce an Enterprise 2.0 application, custom made or out of the box. It’s there just for the company. Third, for the most people, it will only be used during working hours, not very much in the weekends. Fourth, it serves different purposes, like more effective collaboration, not just sharing cool things or experiences that are very funny. However, when people share those it’s a sign they feel comfortable out there. Fifth, there are even more differences. All these differences are a given, and are important when designing and introducing a corporate social network.
Traction Software explains it very well on their blog. INNATS. It’s Not Not About The Structure. Structure is important, but too much structure is a problem, as well as too less structure. Hence Not Not. Starting from scratch is not a good idea, but reinventing the wheel over and over again isn’t either. The right amount of freedom to be able to express your creativity, to find the right information in the chaos, and coming back for more on a regular basis because it contributes to your job and the tasks you have, that’s an important factor for success of a corporate social network.
Setting the scene is what it’s about. Or better, knowing scenes a priori that could be the starting point of a flourishing corporate social network. You never know if it will flourish, but it pays to look for the right balance between coordination and chaos. Like with open social networks, positive feedback can make it happen faster once the right balance is found. And the initial state of the network has great influence on what wll happen later on, like the butterfly effect (great movie btw).
Purpose of collaboration: collaboration
Why do people collaborate? To achieve goals (or to generate whatever type of output) and then quit? No, people collaborate in order to keep collaborating. Time is being invested to be able to invest more time together. Of course, the quality of the time spent on collaborating and the quality of temporary output will influence the probability that collaboration will continue in this formation in a positive way. If people like each other and like the process of collaboration together, people are likely to continue to organize themselves together. That makes collaboration an important purpose of collaboration. This corresponds to one of the important findings of Mark Elliott, which says:
Collaboration is inherently composed of two primary components, without either of which collaboration cannot take place: social negotiation and creative output. [..] Another caveat to the second primary component, creative output, is that the output may take the form of an ongoing process instead of a final conclusion. An example would be an intimate relationship—the parties involved may collaborate very closely towards the successful continuance of the collaborative process.
If we translate this to collaborative software, it should therefore not just be goal-orientated, but collaboration orientated as well. Multiple types of output during the process of collaboration can be good, there is not just one single output that’s acceptable. That said, there must be an initial purpose to start the collaborative process in the first place. Why do we start collaborating? I think it’s the best suited strategy if many people are involved and needed to create output, to generate possible solutions to problems, when people can choose to enter or leave the collaborative process, when access to the process is open to all collaborators (in a stigmergic way), and when new problems can come to surface during the collaborative process. The latter enables the continuation of the process.
In practice, the most important thing is to get the conversation started. Once it is started, it is easier to have it continued. So how do we get the process started, and have it continued and even sustainable at online collaborative spaces as well? So who do we start with? Just lead-users or as many people as possible right away? What are the traces that are set in the beginning? What are barriers to enter or how do we remove those barriers? What are the triggers for people to embrace the common subjects? What kind of output are we after? When can people step out of the process and can others step in? When is it self-sustainable?
All above questions are valid, probably hundreds more are. But it all starts with the same problem, how is the conversation getting started? Is it a big-bang or is it evolutionary? After that, in short, my pledge on collaboration: The journey is the destination….
Organic organizations
Many discussions have passed the past month about organizations. We all agree that organizations are complex. Some say it are complex systems, others that it are complex constellations, and again others that it are complex social arrangements. Organizations are complex for a number of reasons, but the most important reason is that humans are involved. Individual human being which all have unique characteristics and behavior. Behavior that never can be predicted completely, which is tried to be controlled in the past but it’s inevitable impossible to control and undesired if you ask me. To let human beings flourish in their daily life is difficult, not the least because of ourselves. But it can do no harm to not control people. Human behavior is so unpredictable, so unique, so evil and so delightful all at the same time, that’s a given. I will not explain the nature of humanity, not only because I can’t, but our behavior seems to me that it can be quite organic. Like all living organisms, humans are autonomous, have emergent characteristics, can adapt, evolve and learn, all gradually.
When you agree that the most important assets of an organization are us humans as living beings, the most important characteristic of an organization could be that it’s organic. The funny thing is that the term ‘Organic organization‘ exists for about 50 years, but was never proven to exist. It has some similarities with concept of autopoiesis. Wikipedia explains:
For an organization to be organic, people in it should be equally leveled, with no job descriptions or classifications, and communication to have a hub-network-like form. It thrives on the power of personalities, lack of rigid procedures and communication and can react quickly and easily to changes in the environment thus it is said to be the most adaptive form of organization.
However, I think it helps to think as organizations as organic, because it’s too difficult to understand the dynamics of human behavior. And even if we could understand it, we could never act to it, or manage an organization in a way that could take full advantage of human behavior. I also think that the explanation of Chris Rodgers on organizational dynamics, design and development are a very good starting point to understand the diversity of an organization.
We probably all agree on what is important for employees, and on the long term for an organization, is employee happiness. Employees that are happy on their job, are more valuable, more responsible, more motivated and by their positive attitude help the organization be more profitable, what’s good for all employees. Again, that is simplistic put, but organizations, like human beings, are too diverse and complex to understand, but the state of the core assets of organizations should be considered the most important. Maybe even independent on what the goals of the organizations are. Maybe the organization should change it’s goals depending on the people that are with it, because the formation of employees will change continually. Can we learn something from this point of view?
Participative management
The post ‘Self-organization defined‘ generated so much discussion, it has fed me with many new insights. Thanks so much. Your visions about self-organizing, participation, management, organizations, emergence and others are well argumented and show deep understanding, and luckily you don’t always agree. I hope I was not the only one who learned from the discussion.
One of the things that made me think was that self-organization is something we just do. It can’t be managed or empowered. Employees always self-organize, albeit with given constraints and power relations. Stephen rephrases part of my problem statement with saying:
How can we change the constraints and power relating so that different patterns will emerge from the self-organization?
One of the directions we should be looking at is the concept of participative management. And that makes me think of the framework of Wenger again, which is always about dualities. Of course he applies the framework to organizations as well. For example, this is how Wenger describes the dimensions of organizational design:
- participation and reification – trade-offs of institutionalization
- the designed and the emergent – two sources of structure in organizations
- the local and the global – combining local forms of knowledgeability
- fields of identification and negotiability – institutional identities as key to organizational learning
All dualities are interesting and can be discussed thoroughly, but regarding the post where I tried to define self-organization I will give the most attention to the second duality, the designed and the emergent. An organization is the meeting of two sources of structure, the designed structure of the institution and the emergent structure of the practice. One can question whether the structure of the practice can be designed, or if constraints and rules can be designed, or if the constraints are the structure. Anyway, one of the questions Wenger asks himself here are what the obstacles are to responsiveness to the emergent. In other words, what keeps the emergent from being acted upon? Or how can emergent patterns be recognized?
One of the things we should investigate is the concept of participative management. For example at Semco, they believe that Semco is different from most companies that have participatory management because employees are given the power to make decisions. Even ones, with which the CEO wouldn’t normally agree. That is of course their vision, but I believe that managers that participate not only in the processes he or she is required or expected to do so, but in other processes as well, influence the constraints of emergent behavior by others. These processes or practices can be on the work floor, on other departments, or wherever in the company in order to participate and know more about other aspects of the company. By doing that, these other employees get to know more of management problems and opportunities as well, which can stimulate more emergent behavior, or if you like self-organization, or more initiatives from the self. Does that influence culture (thanks Paula for mentioning Zappo) as well? Can it be called designing by participation? Does it create conflicts that recognizes problems? Does it foster innovation? Does it create more responsibility? These are other questions that pop up by writing this down.
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