These briefing papers are offered as a resource to people who are interested in the history of a concept, concepts that have been adopted within the vocabulary of health care organisations. They are straightforward
and informative rather than brief and easy. They are more likely to be of interest to those teaching or consulting in these areas than to health care practitioners.
The first two briefing papers are on Systems Thinking and on Organisational Learning.
Briefing Paper One: Systems thinking
This briefing paper gives: the origins of systems thinking, a definition of systems thinking and of a system, the history of systems thinking and its major tenets, some of the major systems approaches, problems
with systems thinking, insights afforded by systems thinking, and references.
Origins
Systems thinking originated in the 1920s within several disciplines, notably biology and engineering, out of the observation that there were many aspects which scientific analysis could not explore. Whereas the
scientific method (summarised by Popper as the three Rs: reduction, repeatability and refutation) increases our knowledge and understanding by breaking things down into their constituent parts and exploring the
properties of these parts, systems thinking explores the properties which exist once the parts have been combined into a whole. The expectation of the systems thinkers of the 40s and 50s was that the scientific
method would one day have two components: analytical thinking and systems thinking.
What is Systems Thinking?
Its essence is seeing inter-relationships rather than linear cause-and-effect chains, and in seeing processes of change rather than snapshots (Senge).
Systems thinking is a way of interpreting the universe as a series of interconnected and inter-related wholes. It is a way of identifying the inherent organisation within a complex situation and has been called
organised complexity. Systems thinkers contrast dynamic complexity (the relationships between things) with detail complexity (details about things).
It is an approach, a set of general principles and specific tools and techniques, rather than a subject area in its own right; it can be applied within many different fields and is therefore described as a
meta-discipline.
What is a system?
A system is a set of elements, connected together, which form a whole; this showing properties which are properties of the whole rather than of its component parts.(Checkland,).
There are four fundamental types of systems: natural systems, e.g. a biological organism designed physical systems, e.g. a building designed abstract systems, e.g. a mathematical equation, and human
activity systems, e.g. a team engaged on a task, or a health care organisation.
The last is seen as crucially different from the former three (Checkland) in that while the others can be described objectively and can be no other than they are human activity systems are understood differently by
the various ‘human actors’ involved in them, who attribute different meanings to what they perceive. As long as each is logically consistent it is valid for the person making it and is therefore not right or wrong.
Here objectivity has been described (Ackoff) as the social product of the open interaction of a wide variety of individual subjectivities.
History
Aristotle noted that the whole is greater than the sum of its parts but this concept became lost in the revolution in the scientific approach spearheaded by Newton in the 17th century. In the 1920s biologists noted organised complexity in the organisms they were studying. They observed a hierarchy of levels of organisation, each more complex than the one below it, with properties that emerge only at that level and do not exist (or have any meaning) at lower levels (Broad 1923, Smuts 1924 cited in Checkland).
Von Bertalanffy, in 1940, distinguished between open and closed systems; closed being completely autonomous and having no relationship with their environment; open exchanging with their environment
materials, energy, and information. Closed systems are only to be found in the designed abstract class of systems, almost all of the systems that are of concern to health care professionals and managers will be open
ones.
Also in the ’40s, Wiener and Bigelow, drawing on principles from control engineering and control theory and on their way to developing the field of cybernetics, realised the importance and ubiquity of feedback
; activity within a system is the result of the influence of one element on another, that influence being called feedback. They identified positive and negative feedback; positive has since been called
amplifying or reinforcing feedback and negative has been termed balancing feedback.
An example of positive/amplifying feedback could be the interaction of two new work colleagues. I behave in a an open and pleasant way towards you and you respond in a similar fashion. I become more open and begin
to share work with you, and soon we are collaborating in a constructive way. If I had started by treating you with a distant smile and keeping all my thoughts to myself you would have chosen to cultivate a different
colleague and my behaviour would have become more and more distant.
For an example of negative/balancing feedback look at any kind of thermostat, man made or biological.
In the ’50s a group of individuals from different fields came together to found the Society for the Advancement of General Systems Theory, and systems thinking became an academic subject, amassing a
body of knowledge, an academic status, and the usual subdivision due to specialisation,
Systems Engineering developed in the 1950s, aimed at designing or changing (so that sense of engineering) systems. Originally the province of engineers working with designed physical systems, it soon became applied to human activity systems also. The process of systems engineering involves:
- problem definition – articulation of the problem as seen by the engineer.
- choice of objectives – expression of the desired state.
- systems synthesis – written creation of possible alternative systems.
- systems analysis – analysis of the hypothetical systems in light of the objectives.
- system selection – of the ‘winning’ hypothetical system.
- system development – further work on the chosen system.
- current engineering – realisation in practice of the chosen system
At about the same time Systems Analysis
was developed by the RanD Corporation in the States, drawing on the Operational Research expertise that had blossomed in military settings in WW2. This was at root a form of cost-benefit analysis and requires:
- definition of objectives
- identification or generation of alternative techniques to achieve those objectives
- consideration of costs or resources required by the alternative options
- development of a mathematical model showing the interdependence of objectives, techniques, environment and resources
- articulation of the criterion, relating objectives and costs, for choosing the preferred alternative.
Both of these methods assume that there is an important class of real world problems that can be formulated as:
There is a desired state S1 and a current state S0, and alternative ways of getting from S0 to S1.
In other words it is assumed that the objective of the system is a given and that the role of the systems analyst or engineer is to work out how it can best be achieved. (Checkland)
When these methods were applied in social systems (for example to the public sector in the state of California in the early 1960s) the results were disappointing.
These methods, which all required the naming of the system and a defining of its objectives (Checkland), and in which the engineer or analyst stands outside the system intervening in it to try and reach a desired end, became known as
Hard Systems.
During the 1970s, with the influential work of Ackoff, there became an increasing realisation that in human activity systems the system often cannot be ‘named’ convincingly, and that its objectives are frequently
multiple and often conflicting. Ackoff introduced the term mess into the management science of the time:
a puzzle is a conundrum to which there is an answer if you can only find it a problem is a conundrum to which there is no answer only better or worse approaches a mess is a dynamic system of problems
He suggested that much of management is about dealing with messes.
In the 1980s Checkland developed a methodology for working with Soft Systems, those where the problem does not lend itself to being quantified; in complex problem situations, messy, ill-defined, ill
structured, not independent of people and where there may be no agreement about appropriate objectives (Daellenbach).
During the 1970s and 1980s much attention was paid to the modelling
of systems, sometimes applying the notation developed in hard systems to soft systems, sometimes generating new ways of describing complex relationships. They all involve the following processes:
- familiarisation with the system, often this requires some immersion within it.
- a summary of the situation, which may identify a relevant system or a number of them.
- a description of the relevant system which will include identification of the person whose viewpoint is being represented, definition of the boundary , identification of the desired outputs, inputs , and wider
system of interest.
- a representation of the system in the form of an influence diagram.
At the same period attention was paid to formulating the mess, in which the modelling of the system was only the first of three phases. Phase two is a mapping exercise in which the large number of
factors obstructing achievement of the purpose of the system are categorised into a small number of classes. Phase three is ‘telling the story’ (Pourdehnad 1992) and involves ‘telling a believable and compelling
story that reveals the undesirable future implicit in the current state… and leads to a desire for change’.
System Design also originated in the 1970s and has been developed further since. It is based on the observation (e.g. by Churchman, 1971) that the best way to learn a system is to design it. The
process requires that it be assumed that the system to be redesigned has been destroyed overnight, but everything in its environment remains the same. The challenge is to design it from scratch such that:
- there is a huge increase in throughput
- the process leads to a shared understanding among critical actors
- it generates ownership and commitment
- conflict is dissolved
- obstructions are converted into opportunities.
In the 1980s and 1990s systems thinking was popularised (i.e. made more accessible to practising managers and others) largely by Peter Senge of MIT. It was incorporated into a wider field of study about individual
and organisational learning, heavily influenced by the work of Chris Argyris and David Bohm. One of the major contributions of this work has been the identification of systems archetypes
i.e. influence patterns that can be found in many different systems. The two most widely known of these are the Limits to Growth archetype, and the Shifting the Burden archetype. They are well described in The Fifth Discipline.
More recently still the combination of using large group interventions with applying some of the insights of systems thinking has led to a field of activity known as Whole Systems. In the UK Plamping,
Pratt and Gordon have worked with Whole Systems principles in intractable problems that involve health and health care. The systems they have explored involve many
stakeholders, e.g. health and other statutory agencies, users, communities and voluntary organisations. Along the way the term whole systems has become misapplied, and is now commonly used instead of the term system-wide.This is a loss, as the richness of the original usage is often not understood or used.
Problems with Systems Thinking
The development of Chaos Theory has demonstrated that the early systems thinkers were over ambitious in their belief that the dynamics of a system could be completely analysed. We now know that complex, dynamic
systems can be extremely sensitive to initial starting conditions, (the butterfly wing over the pacific), and we realise that a such a system is unlikely to yield to analysis in this way. This does not mean
that systems thinking is no longer useful, nor that it has been superseded by complexity theory. Systems thinking is a crucial component of complexity theory and many of the insights that are now labelled
‘complexity’ are classic systems concepts. Indeed since we are usually trying to consider how to intervene in a system ( a human activity system) rather than to define it with complete accuracy, the insights
afforded by soft systems thinking are often as useful as any.
Insights afforded by Systems Thinking.
- Wholes have properties that are the properties of the whole and not of the parts. This means that dividing an elephant in half does not produce two small elephants.(Senge).
We cannot understand a wider system by looking in detail at its parts, because some properties only emerge when they are combined together. So if we want to understand, e.g., how a patient experiences a
service, we cannot find that out by considering only the consitituent parts, we need to look at the whole patient journey (across organisational boundaries).
- Components of a system interact with each other in a reciprocal flow of influence, and in most management situations understanding this dynamic complexity is more important than
understanding detail complexity. These inter-relationships mean that cause and effect are not closely related in time and space, and that the results of any intervention in a system may well be unexpected.
As a result, any interventions we make will have many effects we did not predict or expect, in parts of the system we were not aware of influencing.
- A system also interacts with its environment, and the behaviour of a system can only be understood in the context of its environment. The environment can be thought of in two
parts: the environment over which the system does not exert power but does have some influence (sometimes known as the wider system of interest); and that over which it has no influence.
We
therefore need to be able to describe the environment, and the influence that it has, of any service or system we are interested in.
- A system always has a purpose. Sometimes the purpose is evident to/ shared by all; sometimes the purpose differs in the perceptions of people who are involved in it. Every
human actor in a system brings to the system their understanding of its purpose and their view on the world (or weltenschauung). This view consists of three elements: rational, emotional and cultural.
It is crucial therefore to understand these ‘weltenschaungen’. To do so requires an understanding of organisational behaviour and psychology.
- Systems stabilise in equilibrium and they require a source of energy
if this equilibrium is to shift, i.e. if there is to be change. The energy can come from outside the system (in which case the approach is a hard systems approach) or from within it (a soft systems approach). In a hard systems approach an outsider will identify a purpose, a measure of performance, the decision making processes, the resources to be made available to the decision makers, the boundary between the system and its environment, and the system dynamics (inputs, outputs and relationships between components. In a soft systems approach the people within the system are encouraged to articulate their personal perceptions of the purpose, measures of performance, the boundary, inputs, outputs etc.
When intervening in a system it is important to identify this source of energy and its nature.
- Multi-purpose, multi-structural, multiple process systems, such as those that characterise health care, are too complex for anyone to understand fully.
In systems like this the
players within them must be able to reflect on the system, learn from its performance and make changes.
- Systems nest within systems and the inter-relationships across an organisation must betaken into account when a change intervention is planned.
This means that
organisation-wide approaches are sometimes required.
- Dynamic complexity can be modelled, using notation that expresses positive and negative feedback, and the insights gained from this process can be used in the redesign of the
system.
An understanding of interdependencies can be used to enhance the effectiveness of implementing change. Network diagrams are a means of doing so.
References
Ackoff RL, 1970 Redesigning the Future. A Systems Approach to Societal Problems. New York, Wiley. Checkland P,1981 Systems Thinking, Systems Practice. New York, Wiley Daellenbach H G, 1994 Systems and Decision
Making. A Management Science Approach. Chichester, Wiley. Pourdehnad J, cited in Gharajedaghi J, 1999 Systems Thinking: Managing Chaos and Complexity. A platform for designing business architecture.Woburn Mass,
Butterworth-Heinemann Pratt J, Gordon P, Plamping D, 1999 Working Whole Systems. Putting theory into practice in organisations. London Kings Fund Senge P, 1990 The Fifth Discipline: the art and practice of the
learning organisation.London, Century Business
Briefing Paper Two: Organisational Learning and Learning Organisations
Again this is a lengthy account likely to be of greater interest to those teaching and consulting in this field than to health care practitioners. For a shorter more succinct account please see case study three of Developing Change Management Skills.
Organisational learning (OL) is a term introduced in the 1970s by Chris Argyris and Donald Schön. It draws on, among others, John Dewey’s Experience and Education (1938), one of the most influential texts on adult
education, and Kurt Lewin’s (1946) development of action research. It is an academic field of study with a solid research base.
The Learning Organisation is a term that derives in part from OL, and includes a wide range of practical approaches advocated by consultants and
practitioners, drawing on the fields of sociotechnical systems; organisational strategy; production; economic development; systems dynamics; human
resources; and organisational culture. These approaches do not have the same rigour of research associated with them as do the core concepts of OL.
The three central concepts of OL:
- Theory of action and theory-in-use
- Model I and Model II
- Single loop and double loop learning
Theory of action and theory-in-use
Argyris and Schön (1996) observed that within an organisational context individuals tend to promote one set of behaviours, and use another set. In
explaining this disparity, Argyris and Schön defined two kinds of theory of action: espoused theories and theories-in-use.
A theory of action has the following generic format: In situation S, if you want to achieve outcome O do activity A. A theory of action includes the
values we attribute to O that make us see it as desirable, as well as causal assumptions we bring that lead us to believe that A will lead to O.
Argyris and Schön suggest that we use espoused theories to explain or justify our actions. In practice, however, and especially when there is any risk of embarrassment or threat, we use a theory-in-use which is at
variance with the espoused one.
Model I and Model II
Almost everyone participating in Argyris and Schön’s original research, when at risk of embarrassment or threat, could be seen as having adopted a theory-in-use that Argyris and Schön term Model I. This is a form of
behaviours learnt early on in life and which is supported by a set of virtues widely held within society and within organisations. These virtues include:
- caring, help and support: give people approval and praise, tell people what you think will make them feel good about themselves, reduce
their feelings of hurt – by saying how much you care, and if possible agreeing with them that other people have behaved improperly
- respect for others: defer to others when they are talking and do not confront their reasoning
- honesty: tell no lies, and/or tell others all you think and feel
- strength: advocate your own position and hold it in the face of attack from others. Feeling vulnerable is a sign of weakness.
- integrity: stick to your principles, values and beliefs.
Behaviours associated with Model I include:
Aims
|
Actions
|
Consequences
|
Define goals and try to achieve them
|
Design and manage the environment unilaterally - be persuasive, appeal to larger goals etc
|
Actor seen as defensive, inconsistent, controlling, fearful of being vulnerable, overly concerned about self and others, or under concerned about others
|
Maximise wining and minimise losing
|
Own and control the task -claim ownership of the task, be guardian of the definition and execution of the task
|
Defensive interpersonal and group relationship - depending on actor, little help to others
|
Minimise generating or expressing negative feelings
|
Unilaterally protect yourself -speak in inferred categories, accompanied by little or no directly observable date, be blind to the impact on others and to incongruity, use
defensive actions such as blaming stereotyping, suppressing feelings, intellectualising
|
Defensive norms, mistrust, lack of risk taking, conformity, external commitment, emphasis on diplomacy, power centred competition and rivalry
|
Be rational
|
Unilaterally protect others from being hurt - withhold information, create rules to censor information and behaviour, hold private meetings
|
|
|
We apply Model I automatically because we become skilled at it from an early age. Because we are skilled at it, and the better at it we become the more averse to learning we are, Argyris and Schön call this skilled
incompetence. If we are operating in Model I and are asked why we behaved in such-and-such a way, we tend to justify our actions by referring
to our good intentions: the desire not to hurt other people’s feelings, the wish to advocate a position in accord with our values, and so on. If probed
more deeply we will blame the situation we are in on other people, attributing to them negative attributes and motives, for example, their inability to handle the truth or readiness to play political games.
Although hidden from us, the disparity between our theories-in-use and our theories of action tend to be apparent to those we interact with. Do they
draw our attention to this? Generally speaking, no. This is because they too have adopted a Model I theory-in-use: they too wish to avoid hurting our
feelings and want us to save face. They in turn attribute to us an inability to handle honest feedback or a lack of willingness to work cooperatively with them.
In this situation both participants engage in what Argyris and Schön call bypass and cover up. Moreover, they make the bypass undiscussable, and
they make that undiscussability itself undiscussable. This set of activities is known as an organisational defensive routine (ODR). Because ODRs are
pervasive, individuals tend either not to notice them or to feel powerless to change them. They can see that they inhibit organisational effectiveness,
yet challenging them requires the courage to risk making the situation more uncomfortable. Unchallenged ODRs lead to further fancy footwork, as
Argyris and Schön call it, as people get to know the ‘way we do things round here’ and find ways around this. This in turn leads to what they call a state of organisational malaise
whose general symptoms include hopelessness, cynicism, distancing and blaming others. Specific symptoms are:
- seeking and finding fault with the organisation, without accepting responsibility for correcting it
- accentuating the negative and de-emphasising the positive
- espousing values that everyone knows are not implementable but acting as if they are.
The following overall sequence:
skilled incompetence, ODRs of bypass and cover up,fancy footwork, organisational malaise, mediocre performance is called an organisational defensive pattern
(ODP), and the reasoning at its heart is known as defensive reasoning. Argyris and Schön contrast this with productive reasoning, a way of thinking and talking which enables us to test the
validity of our own and others’ theories. To engage in productive reasoning we need to adopt a new theory-in-use, called Model II.
Model II is not the converse of Model I, since we still need to be able to draw on the behaviours and virtues of Model I. We simply need to choose
more judiciously and awarely when to use or be guided by them. As with Model I, there is a set of corresponding virtues that support Model II behaviours:
- help and support: increase others’ capacity to confront their own ideas, to face their unsurfaced assumptions, biases and fears, by acting in this way towards them.
- respect for others: attribute to other people a high capacity for self reflection and self examination – without becoming so upset they lose their effectiveness and sense of self respect and choice.
- strength: combine advocacy with inquiry and self-reflection. Feeling vulnerable during inquiry is a sign of strength.
- honesty: encourage self and others to say what they know ( having tested assumptions and attributions) and yet fear to say.
- integrity: advocate principles, values and beliefs in a way that invites inquiry into them and encourages others to do the same.
Model II behaviours include:
Aims
|
Actions
|
Consequences
|
Valid information
Free and informed choice
Internal commitment to the choice and constant monitoring of its implementation
|
Design situations where participants can be origins of action and can experience high personal causation
Task is jointly controlled
Protection of self is a joint enterprise and oriented towards growth
Bilateral protection of others
|
Actor experienced as minimally defensive
Minimally defensive interpersonal relations and group dynamics
Learning oriented norms
High freedom of choice, internal commitment and risk taking
|
|
To be able to implement Model II we usually need to slow down our reasoning and increase our capacity for analysis and reflection, otherwise we unwittingly revert to Model I. One way of doing this is to use the
approach introduced by Argyris and Schön, known as the Left hand column.
Think of a work situation you are concerned about.
Think of a conversation you either have had, or would like to have, with a colleague or someone else involved in that situation – someone you perceive as contributing to the problem.
Divide a piece of paper into two columns. In the right hand column write down what you actually said or did (or would like to say and do).
In the left hand column write all the things you would be thinking in response to what the other person was (or would be) saying.
Review the left hand column entries to see how often you fell into Model I thinking. For example, consider asking yourself the following questions:
- How often did I attribute negative motives or evaluations to the other person’s performance and yet not want to tell them?
- How confident am I that I attributed those negative motives etc correctly? If I use theladder of inference can I see that I have used data very selectively and added other beliefs that are not necessarily
appropriate?
- Did I advocate my own position firmly to the exclusion of the other person’s?
Did I tell the other person that I care about his or her views while not truly being open to these?
- Did I find a third party to blame for the overall situation, e.g. budget, the Government, and so on?
Model II leads us to be able to reason productively rather than defensively and to:
- strive to make premises and inferences explicit and clear
- develop conclusions that are publicly testable
- test them in ways that are independent of the logic used by the actor involved
- while taking action, reflect and be aware of own thoughts and feelings
- be clear about the position we are advocating and about any evaluations or attributions we make of others
- check constantly for unrecognised gaps or inconsistencies and encourage others to do the same
- combine taking the initiative with being open to any constructive confrontation of own views, evaluations and attributions.
Single loop and double loop learning
Sometimes the kind of learning that is needed in an organisation, as discovered through an organisational inquiry, is simple. If something has gone wrong and we put it right that is single loop learning
. If we look deeper we may find that what went wrong did so because of the way systems were designed, and if we change the systems we can prevent it happening again, and this is double loop learning
. If we reflect further still, about what prevented us from seeing that the systems needed changing, before something went wrong, we call this deutero learning.
A Model I theory-in-use is often appropriate where single loop learning will suffice. But for double loop learning Model II is necessary.
A learning organisation is one in which there is a lot of double loop and deutero learning going on at individual and organisational level.
The view of Learning Organisation practitioners from the field of Organisational Learning
Argyris argues that most advice from academic researchers, management consultants and executive development programmes, including those advising on Learning Organisations reinforces ODRs, and indeed that these
advisors are often guilty of defensive routines themselves.
In order to minimise the risk of advisors exacerbating the situation he suggests that if advice is to be implementable it must have three essential parts:
- A causal theory (if you do x, then y will happen)
- It must illustrate x at two levels: the action strategy – for example, ‘combine advocacy with inquiry’ – and actual examples that illustrate the saying and doing
- It should articulate the values that govern the suggestion – for example, if the governing value is ‘to win’ this should be expressed. If these governing values are made explicit then the advice can be
awarely accepted or rejected by client organisations.
He points out that even when people know what they should do there are often situations in which they are unable to and suggests that everyone is warned that ‘it is unlikely that you will be able to produce this advice when
you are dealing with issues that contain components of embarrassment or threat. You are likely to be unaware of this fact while you are implementing
this advice. Or if you are aware you will tend to blame factors other than yourself’.
The Learning Organisation
As we have seen, the Learning Organisation (LO) is a term often used to encompass a variety of approaches. These include the Learning Company (Pedler et al., 1991), ‘learning systems’ (Nevis et al., 1995) and ‘learning
organisations’ (plural) (Davies and Nutly, 2000). One aim these approaches have in common is to show how organisations should be designed and
managed to promote effective learning. Several approaches build upon the work of Argyris and Schön discussed above as well as other, related concepts such as ‘defensive’ and ‘offensive’ adjustment (Hedberg, 1981).
As well as texts that address specifically the learning organisation there are many that take a holistic approach to the design of organisations and these
can be just as useful in considering how to promote learning. The seven S framework, for example, introduced by Tom Peters et al, can be used for just this purpose.
Perhaps the most widely known of the books on Learning Organisations is Peter Senge’s The Fifth Discipline (1990).
Senge draws on the work of Argyris and Schön as well as the work of Jay Forrester and other systems scientists. In it he describes a LO as one
‘where people continually expand their capacities to create the results they truly desire, where new and expansive patterns of
thinking are nurtured, where collective aspiration is set free, and where people are continually learning how to learn together’.
Senge suggests that learning is a journey which has no final destination; learning is never-ending and it is the journey of discovery itself which counts. Moreover, the more we learn, the more we become aware of our
ignorance. He also asserts that the ability to learn faster than competitors may be the ‘only sustainable competitive advantage’ . However, he does not
explain why this would be any more sustainable than other competitive advantages that involve new disciplines or technologies, and the overall
tone of his work is inspirational and optimistic, in contrast to the more measured and sceptical tone of Argyris and Schön. For instance, Argyris and
Schön point out that Model II theory-in-use is an ideal and have conceded that they are unaware of any organisation that has fully implemented a
double loop learning system. A similar caveat needs to be given with claims made for LOs. For practising managers, therefore, Senge’s messages are
likely to prove valuable when combined with a thorough understanding of the work of Argyris and Schön.
Senge lists five disciplines which he suggests will lead to the kind of LO defined above. These are:
Systems thinking – seeing processes rather than events, wholes rather than parts, dynamic rather than detail complexity
Personal mastery – the discipline of personal growth and learning, continually striving to clarify what is important, to be clear aboutthe vision
we are aiming for, and at the same time being ruthlessly clear about the current reality
Mental models – the tacit models we use to interpret and interact with the world. This directly refers to Argyris and Schön’s Model I theory-in-use, skilled incompetence and ODRs
Shared vision – the vision that encompasses the personal visions of all those working within the organisation
Team learning – the process of aligning the personal visions and developing the capacity of the team to work together to achieve the results they are after. Here Senge promotes the virtues of Model II.
Key messages arising out of the five disciplines include:
Systems thinking The essence of systems thinking, suggests Senge, lies in seeing inter-relationships rather than linear cause-effect chains and seeing processes of
change rather than snapshots. It starts with an understanding of the principle of feedback and builds to learning to recognise types of recurrent structures. Click here for more information on systems thinking.
Personal mastery
People with a high sense of personal mastery, says Senge, have a clear purpose, see current reality as an ally, feel connected to others and never
arrive on their learning-in-progress journey. They see failure as an opportunity for learning, for example, about inaccurate pictures of reality,
strategies which did not yield the results expected, and clarity of vision. They do not see failure as a sign of unworthiness or powerlessness. Above
all, people with high personal mastery have a commitment to truth, to reality, to really understanding situations, including their own behaviour.
Mental models
To challenge mental models Senge draws on Argyris and Schön to recommend the use of the left hand column exercise referred to above and the ladder of inference, to recognise leaps of abstraction which often lead
us to jump from initial data to the wrong conclusions. He similarly describes using reflection and inquiry skills to identify ODRs.
Shared vision
Senge indicates that without a shared vision it is not possible to have a learning organisation. This claim is probably aspirational. Visions of the
people at the top of organisations are, he says, usually just that, they may not be shared except at the top. Senge argues that to foster a learning
climate in which individuals are encouraged to have personal visions means not imposing one top down. He also suggests that there must be a shared
appreciation of the current reality, and of the gap between the vision and the reality and the work needed to reduce the gap.
Team learning
Team learning is a process of aligning the individual within the team and developing the capacity of the team to achieve the results it is seeking. To
facilitate team learning Senge advocates distinguishing between dialogue and discussion, and moving awarely from one to the other to explore different topics. His description of dialogue coincides with Argyris and
Schön’s Model II. He also describes it as being a free, creative exploration of complex and subtle issues which involves deep listening, suspending one’s
own views, being aware of one’s own thinking processes and of others’. Discussion is the presenting of views and defending them in a search for the
best argument. This will usually be appropriate for more straightforward issues. Unless the decision to use one rather than the other is explicit,
Senge suggests, the result will be an ineffective amalgam. Dialogue, he observes, will probably always need the involvement of a facilitator of some sort.
Introducing organisational learning
Argyris and Schon have found that defensive routines are alterable, indeed that given a commitment to change these defensive routines then change can be made relatively easily. Furthermore this change of this kind is
realistic and not utopian.
They suggest that it is not necessary to think in terms of massive change programmes – that you can start small, especially if you start at the top.
Also that you don’t need advisors who are highly skilled in changing defensive routines before they start, they can learn as they go along. They
do say that people aiming to tackle these defensive routines should be able to:
- use publicly compelling and testable reasoning when dealing with defensive routines minimise the use of their own defences to protect themselves or the client translate any error into an opportunity for
learning, and
- design programmes within their competences (so their anxiety levels are not raised).
They will be able to be effective before they are completely skilled themselves, if they work with a professional who is more skilled than they are in a ‘supervisory’ (as in clinical supervision) capacity.
Argyris’ methods for teaching Model two all involve action and he suggests that this is why there is no forgetting curve, why people who have become
familiar, through practice, with Model two will continue to use it in the same way that people who have learned to can always ride a bicycle.
A programme for encouraging organisational learning
As people’s theories-in-use are tacit, hidden from the person using them, they cannot be ascertained by interview or reflection, they can only be
constructed through observation. Therefore, the first step is observation by a skilled outsider, able to draw up a map of the theories-in-use, the values
that seem to be governing them, the action strategies that people are adopting, and the consequences of these. Often there are first-, second-
and third-order consequences (the first set lead to the second and so on). This map is then fed back to the participants who then discuss all the
elements and the feedback and feed-through processes within it, with the observer and each other. The aim of the discussion is that everyone agrees that these ODRs exist, and that they want to tackle them.
According to Argyris and Schön people most usually do recognise ODRs, and are keen to address something they have felt powerless to change. They
stress that this ‘aha’ is not sufficient, that skilled incompetence is so great, and the interventions below are necessary. These can be thought of as four main phases, as follows.
- At a first meeting the concepts of Model I and Model II are introduced. Often participants are fired with enthusiasm and believe they can change their behaviours instantly as a result of the ‘Aha!’ of
discovery they have just experienced. Argyris and Schön have observed that instant change is not possible, because of the skill with which people use Model I and the way it is embedded into our habitual
ways of responding.
- Participants are then asked to undertake the left hand column exercise described above, thinking about an issue of particular concern to them and imagining a conversation they would like to have
with the person they perceive to be causing the greatest problem.
- They bring their imaginary scripts and the associated thoughts and feelings with them to a meeting at which they discuss their scripts and the left hand columns with the others. This process allows them
to slow their thinking down sufficiently to be able to use Model II concepts. Argyris and Schön suggest these discussions are taped and that the tape is given to the person whose issue is being discussed.
They find that people often use Model I thinking during the discussion to attribute words or phrases to others which are not in evidence when the tape is played back.
- It is useful then for participants to be able to have further one-to-one work with the facilitator in which they work on real issues, often
involving unproductive relationships with each other. It can be useful to gather the learning experiences together in a further reflective seminar.
The work can then be expanded to the rest of the organisation in a similar way. If an organisation is serious about doing so, Argyris and Schön
report some success with thedevelopment of a cadre of internal change agents and educators who foster a particular expertise in working with Model II thinking, in addition to their day jobs.
References
Chris Argyris and Donald Schon, Organisational Learning II, Theory, Method and Practice, 1996, Addison Wesley OD series Chris Argyris, Overcoming Organisational Defenses, 1994. Prentice Hall
Peter Senge , The Fifth Discipline , 1990, Century Business Senge et al, The Fifth Discipline Field Book, 1994, Nicholas Brealey Publishing Mike Pedlar, The Learning Company
Brian Quinn and Henry Mintzberg, The Strategy Process, Prentice Hall For more about the literature and background of the Learning Organisation, see Iles and Sutherland: Organisational Change (2001), page 64.
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