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Notes on-
Systems Approaches to Managing Change:
Parts 1&2
Overview of systems thinking & Systems
Dynamics
A Practical Guide
Eds. – Martin Reynolds & Sue Holwell
Part 1&2 – Read as part of
TU811 OU Course: Systems
Tools for managing Change
Notes: James Cracknell BA
(Hons.)
Chapter 1
Introducing Systems
Approaches
Introduction 1.1
Five approaches
1. System Dynamics (SD) –
1950’s Jay Forrester
2. Viable Systems Model
(VSM) – 1960’s Stafford
Beer
3. Strategic Options
Development and Analysis
(SODA) – 1970’s Colin Eden
4. Soft Systems Methodology
(SSM) – 1970’s Peter
Checkland
5. Critical Systems Heuristics
(CSH) – 1070’s Werner
Ulrich
Nature of
Complex Systems
Three situations reported in
2009 during Easter week.
a) Hillsborough Football
disaster 20 years on
b) Somalia – the impact of
pirating
c) Orangutans – a new
population for an
endangered species
Key points from
each story
Hillsborough
The tragedy continues to
permeate the psyche of
English football 20 years
further on. Despite
improvements in safety in
grounds there is a continued
sense that justice was far
from being delivered. Cover
ups at every level as well as
poor leadership, dire
communication and abject
confusion persists to the day.
Somalian Pirates
Headlines surrounded the death and
rescue of European and US citizens in
yet another hostage situation. It was
though, the wider repercussion that
were occupying the copy with
analysis on what it means for fishing
industries of the Seychelles and
tourism along the Kenyan coast. The
costs were being counted in terms of
jobs and extended hardship. Cruise
ships were no longer stopping
meaning a loss of trade, in fact they
were avoiding the region all together.
Orangutans
Despite the discovery of a
new population the
species remains on the
endangered list. The
rainforests of Indonesia,
the natural habitat, are
being decimated as Palm
oil is classed as a ‘clean
burning fuel’. The eco fuel
was now being harvested
with devastating
consequences for the
species. The light was also
shone on widespread
exploitation of workers
and the politics of energy
production
Big, Big
Issues
- 1.2.1
Three contrasting stories – a few common
threads
• Local issues have causes and
consequences which extend the impact
• That the problems were unbounded
and paid no respect to national borders
• All stories came with multiple
perspectives often conflicting
• That the backdrop cannot be ignored –
2009 and the Global economy was
reeling from Global Banking Crisis –
poverty, global warming, and ice
melting
Human life
gets in the
way
No obvious answers to
any of these stories,
different people will
take opposing
perspectives, different
priorities and change,
intentional or
otherwise has
consequences that
ripple.
Messes and Difficulties – 1.2.2
Issues of concern
• Complex to
straightforward
• Minor hiccup to
catastrophic
Continuum between
concept of:
Difficult or a Mess
Difficult Mess
One dimensional continuum
Mess - Characteristics
• Many interlocking
aspects
• Involves more people
• Greater implications
related to outcomes
• Different guises
• Longer time scale
• Greater uncertainty
• Hard to articulate
• Multiple trajectories
• Question, assumptions,
and weightings
• Many perspectives all
dynamic
Difficult
• The answer is known
but not discovered
• Can be conceptualized
• Take for granted
context
• Articulate the solution
Two dimensional Mess
Difficult
Mess
Certain
Uncertain
• Indicates overall Scale
• Uncertain – means
multiple perspectives
• Difficulties can be
conceptualised
Why think in systems?
Simplifies the thinking around complex realities. The
means to handle the detail, bring it to the
foreground, identify different behaviours from
multiple perspectives.
Terms to describe ‘Messes’
• Swamp – Donald Schon
• Wicked problems – Horst Rittel
• Resource Dilemmas – Neils Roling
..
..
Perspectives on
Systems Thinking
– 1.2.6
No one way of
thinking about
systems
• Different typologies of
approach to analysis
• Emphasis in thinking between
man and nature
• Complexity in its very nature
• Choices of approaches
dependent upon perspective
of user, nature of event
Four perspectives under
consideration
Perspective 1: Three
Traditions of System
Thinking
(West Churchman,
Peter Checkland,
Werner Ulrich, Mike
Jackson & others)
Three sets:
Hard, Soft & Critical
Hard
Soft
Critical
Hard systems
The presumption that systems
‘actually exist’ .
Losing this assumption
facilitated new more abstract
constructs
Soft Systems
Moving away from the
concept of ‘hard systems’ –
to ‘soft systems’ as the
means to transfer and
impart knowledge. “Epistemological Constructs rather than real
World entities” (p10)
Definition of epistemological – scientific study
of knowledge, its acquisition and
communication’
Critical
systems
To address some of the
inadequate aspects of Hard
and Soft by considering the
‘power relations’ – wider
enforced changes on society
Gerald Midgley – The evolution of
systems thinking & practice –
Three ‘Waves’ or phases of inquiry
Wave Description
Wave one A focus on ‘concrete’ issues with common
purpose
Wave two Soft focus – people, their perspectives, wants an
needs
Wave three Emphasis on ‘power relations’ the reengineering
of social morals, actions and attitudes that shape
the context
As a systems thinking practioner what value would I gain from thinking
of systems like this?
The focus of the three-part model is about the situation, its relevance to
this analysis.
Hard & soft carry with it gender
specific overtones. Overcome by
a change in terminology to
‘Functionalist, Interpretivist,
Emancipatory’.
Thinking in silos makes it harder
to identify any synergies or cross
over between the three models
Issues related
to the three-
part model
Perspective 2: Systems Thinking
for Situations – 1.2.6.2
Systems of system
methodologies
(SOSM)
To classify system
approaches
aligned to a
specific problem
situation (Jackson,
1990)
Dimensions of matrix
Complexity - of the situation,
its interrelatedness and
interdependencies.
Participants – Perspectives
Unitary – Hard – Machine
Pluralist – Soft – Organism
Coercive – Critical - Prison
Matrix
Participants
‘Systems’
i.e. problem
situation
Unitary ‘ hard’
systems – machine
metaphor
Pluralist ‘Soft’
systems –
organismic
metaphor
Coercive ‘critical’
systems – prison
metaphor
Simple Simple unitary:
e.g. systems
engineering
Simple pluralist:
e.g. Strategic
assumption
surfacing and
testing
Simple coercive:
e.g. critical
systems
heuristics
Complex Complex unitary:
e.g. systems
dynamics, viable
systems model
Complex
pluralist:
e.g. soft systems
methodology
Complex
coercive: (non
available)
Adapted from Jackson 2000, p.359 –
Taken from Reynolds & Howe p.11
Total Systems Intervention (TSI)
Flood and Jackson (1991)
Drawing different
methods together in a
three-fold process
1. Creative analysis of
the situation
2. Choice of a suitable
systems approach
3. Implementation of
that approach
Two significant difficulties
1. Assumption that ‘all’
situations fall neatly into
one of the six available
boxes
2. Assumption that a
particular approach is
only suitable for a
specific problem
Nothing is ever this neat and
thinking like this can detract
from exploration of the
alternatives.
Perspective 3: Influences Around
Systems Approaches (Ison & Maiteny) –
1.2.6.3
• Synergistic thinking
• Cross fertilisation
• Innovation
• Moving away from the
rigidity of the matrix
classification
• Broaden out the way
systems thinking fits into
other domains
• Role of individual users
Difficulties arising
• One-way influences – that
is this perspective is
reaching out whilst others
are not necessarily
reaching in
• Casting a wider net can
mean important
practitioners are missed
off
Perspective 4: Grouping of System
Thinkers (Ramage & Shipp) – 1.2.6.4
• Matching individual
system thinkers to their
discipline
• Purpose of typology – to
“provide a foothold for the
readers’ engagement with
the 30 systems thinkers
covered” (Ed. Reynolds,
Howe, 2010, p14)
• Authors personal mapping
Seven Groupings – 30 Thinkers
Groupings Thinkers / Practioner
Early cybernetics Gregory Bateson (1904 – 1980), Norbert Wiener (1894
– 1964), Warren McCulloch (1898 – 1969)
Soft & Critical systems C. West Churchman (1913 – 2004), Russell Ackoff
(1919- ). Peter Checkland (1930 -), Werner Ulrich
(1948-), Michael C. Jackson (1951-)
Complex Theory Ilya Prigogine (1917 – 2003), Stuart Kauffman (1939 -),
James lovelock (1919 -)
General systems theory Ludwig von Bertalanffy (1901 – 72), Kenneth Boulding
(1910 – 1993), Geoffrey Vickers (1894 – 1983)
Later cybernetics Heinz von Foerster (1911 – 2002), Stafford Beer (1926 –
2002), Humberto Maturana (1928 -), Niklas Luhmann
(1927 – 1998), Paul Watziawick (1921 – 2007)
Learning systems Kurt Lewin (1890 – 1947), Eric Trist (1911 – 1993), Chris
Argyris (1923 -), Donald Schon (1930 – 1997), Mary
Catherine Bateson (1939 -)
System dynamics Jay Forrester (1918 -), Donella Meadows (1941 – 2001),
Peter Senge (1947 -)
Controversy and Paradox
• It is not representative of a
comprehensive collection
of groupings and thinkers
• It is a starting point for first
arrivals
• Groupings are contentious
within the field
• Paradox – by creating this
type of typography –
interdisciplinary links are
broken thereby stepping
outside the systems
thinking mindset
Our Own Perspective 1.2.7
Attained goal – to understand how:
• Different system approaches
relate to each other
• The various schools of thought
• They can be used in practice by
relating to specific situations
The Five Systems – (slide 2) have
been chosen because of they
address:
• Rich interplay between ‘situation’,
‘practioner community’ and
‘methodology’
• Connection to the three
motivations for using a systems
approach, namely –
‘interrelationships, different
perspectives and power relations
Five
approaches to
strategy
making – 1.2.9
Systems dynamics (SD)
1.2.9.1
Five
approaches to
strategy
making – 1.2.9
Viable System model
(VSM) 1.2.9.2
Five
approaches to
strategy
making – 1.2.9
Strategic options
Development and
Analysis (SODA, with
Cognitive Mapping)
1.2.9.3
Five
approaches to
strategy
making – 1.2.9
Soft Systems
Methodology (SSM)
1.2.9.4
Five
approaches to
strategy
making – 1.2.9
Critical Systems
Heuristic (CSH) 1.2.9.5
Chapter 2 – Systems Dynamics
To create a representation
of a real world situation
often complex in nature.
A systems approach to the
management of change.
Uses diagrams as the
means of communicating
the present situation, the
interconnections, causes
and outcomes as well as
unplanned for secondary
effects. Business thinking
meets social thinking
Feedback leads to dynamic
behaviours
Ways of Interpreting Situations in
Business and Society
Changing Perspectives – 2.1.1
From above we see the
whole picture and gain
on perspective.
At street or road level we
get another. Both are as
valid, both provide
information and both
offer contrasting
perspectives.
“What appears to be
chance, may, from a
different perspective,
have a systemic cause”
p26
Event Orientated Thinking
Events create problems
Solutions fix problems
Congestion leads to the
building of more roads
Unruly binge drinking leads to
a need for more police
Drug crime leads to more
police taking drugs off the
street
“The problem presents itself
as a discrepancy between an
important shared goal and a
capricious current situation”
P26
Feedback Systems Thinking 2.1.3
Solutions are not isolated
from their environment or
context – the are
‘sympathetic’
Problems and solution
coexist and are
interdependent
5th Discipline – Peter Senge –
5 disciplines for effective
organisational change
Illustration of Feedback Systems
Thinking 2.1.4
• Fig 2.3
A representation of
the complexity of
traffic congestion
and the unintended
consequences of
certain actions.
The position of
boundaries is very
dependent upon
the perspective and
a matter of
judgement
A Shift of
Mind –
2.1.5
Fig 2.4 Feedback perspective
• People involved in strategy
development will hold counter
views which will lead to
conflicting and partial
perspectives.
• Advantages of thinking in
feedback loops is an
appreciation of where the goal
or desired future state, and
existing state create the
discrepancy
• Nothing is considered as a
one-size fits all solution and
actions will create extended
situations
• “The performance of the
enterprise as a whole arises
from the interplay of these
interlocking feedback
processes,”
Discussion
and
Thoughts
Linear thinking is often seen in business
and government, in decision that are
made and not looking at the extended
ramifications of those decisions. This
leads to the conclusion that many of the
problems that we have now are a
consequence of linear thinking.
The introduction of the feedback loops
emphasises the complexity and ripple
effects that decisions, that are made in
good faith and for the right reasons, may
become the problems of the future.
Causal Loop Diagram
Concepts & Tools 2.1
John Moorcroft
Rules and approaches
• Cause and effects alongside the
means for feedback. The diagram is a
tool to visualise these relationships
• Constructed using a mix of words,
phrases, links and loops.
• Conventions to be noted – the ‘+’
means - If the cause increases then the
effect increases too relative to what it
would otherwise have been
- The ‘-’ means that if the cause
increases then the effect decreases
relative to what it would otherwise
have been
The central element
R Reinforcing loop – amplifies and
reinforces change
B Balancing loop – a change in a
variable leads to a counteracting
change
Naming conventions – identify
each loop as a way of creating
a narrative
DELAY
Delays – the identification of a
time lag between a cause and
effect (the variables)
Slow to respond shower:
Narrative, Causal Links & Polarity 2.2.1.1
Process in a Shower ‘System’ –
2.2.1.1
• The causal feedback loop provides a lot of
qualified information in a combined space.
• The detail useful in construction of
‘algebraic simulation’ : (goal – actual)
• Be aware of what links actually mean in
real world; behavioural responses in respect
of economic, social and physical laws
• Quantitative aspects – how much does
temperature rise for a given increase in water
flow?
• Temperature gap to ‘flow of hot water’
the most important link as embodies
decision making process
• What is the corrective action required? –
Overreaction and iteration leads to flux
• People have the control – how they
choose to adjust the tap setting
• Our own decision making processes
Sensing the gap – stand under a
shower in scuba gear and you have
no sense of the gap – feedback loop
collapses
Simulation of a Shower and Dynamics of
Balancing Loops – 2.2.1.3
Dynamics of
balancing
loop
• Balancing loops crop up
everywhere
• Goals set by human,
social and biological
needs
• Business sets sales goals,
quality standards etc.
• Government’s – inflation,
money supply, Growth
and health
• Humans – temperature,
blood flow, digestive
goals
• Balancing processes far
from perfect so corrective
action can lead to over
and undershooting
From Events
to Dynamics
and Feedback
Structure:
Drug Related
Crime
• 2.2.2 P38
Puzzling Dynamics
Key points of problem
• Community witnessing
‘apparent’ rise in drug fueled
crime
• Anecdotal evidence suggests
police action getting results
• Goal of system is tolerable
situation – reported growth
based off estimated information
• We know there is reinforcing
feedback at work because we
see ‘growth’
• Malignant feedback entwinned
with police, communities and
drug users that crosses
boundaries
Feedback
Loops in drug
related crime
2.2.2.1
• Consider the basic
vocabulary – hypothesised
reasons for crime to rise.
• Indicate the boundary of
the problem
• All factors lead to a closed
loop of cause and effect –
a crime spiral
• Two negative links – so
loop is reinforcing
Central variable
in question &
starting place
for story
Community
responsePolice action –
inside the force
The world of the drug
user – addicts not
driven by price.
Increase in price adds
to crime
Scope and
Boundary of
Factors in drug
Related Crime
2.2.2.2
• Loop is not the only
one
• Try knew loops
• Challenge
conventional thinking
• Keep loops simple
• Focus on observable
problems
• Qualitative feedback
• Always ask what else
An Aside:
More Practice
with link
Polarity and
Loop types
2.2.2.3
• Any individual link
connects two concepts
(A&B) – ‘A’ is the cause
and ‘B’ the effect
• For each link we imagine
‘all other influences are
held constant’ (ceteris
paribus)
Purpose and Use of Causal Loop
Diagrams: A Summary
2.2.2.4
Creates overview
Discloses
interconnections
Visual summation
Uncovers Mental
Models
Displays dynamic
behaviours
Expands thinking
Extrapolation of the
future based on existing
or new behaviours
Feedback on ‘observed
performance’ recorded
and highlighted
Basic Tips: Picking
and Naming
Variables
2.2.2.5
Words are vital
• Variables must be ‘Nouns’
• Augment nouns to target or
clarify variable
• Think in terms of being able to
measure
• Ground words in facts
• Concepts can be ‘hard’ – easily
measurable – ‘new products’
‘new hires’
• Concepts can be ‘soft’ –
intangible such as moral,
isolation, perceptions
• Always have in mind a means
to measure or quantify (score)
even intangible
• Pick phrases “delivery lead
time” rather than the less clear
‘delivery performance’
Basic Tips:
Meaning of
Arrows and Link
Polarity
2.2.2.6
Arrows are visual
drivers
• Change in cause leads
to change in effect
• Polarity works for
both tangible as well
as intangible
• The effect on the
variable is to change
it ‘more than it would
otherwise have been’
Marketing
budget
Impact on
sales +
Industry
reputation
Customer’s
interested +
Not as clear as a
‘Causal Loop’
Basic Tips: Drawing,
Identifying and
Naming Feedback
Loops
2.2.2.7
• Feedback loops for the
system thinker are the
equivalent of a political
cartoon for the
cartoonist.
• A series of feedback
loops on a whiteboard
can identify the primary
characteristic of an
organization
• The message is given
added weight because it
focuses on the dominant
features
Basic Tips: Drawing,
Identifying and
Naming Feedback
Loops
2.2.2.7
5 Tips for visual layout
• Use curved lines
• Important loops are
circular
• Organise diagram to
minimise cross-over of
lines
• Avoid ‘Chart Junk’ – any
added to aspect that only
serves to clutter and
distract
• Iterate – get ready to start
and refine
• Label clearly following
conventions of polarity
Excerpts from ‘Orchestra
in a Complex World’
(Bernhard Kerres)
2.2.6
A 3 year study and consultation to develop a
strategic agenda for growth
• Five major indicators of success
1. Delivery of high-quality
performances to attract, retain
top musicians and conductors
2. Create challenging and
interesting programs appealing
to audiences old and new
3. Attract top managers and staff,
engage and motivate volunteers
4. Raise and sustain visibility
through media. Produce
recordings, get broadcast and
extract favourable reviews
5. Continue to develop a successful
school’s outreach programme,
engage with local communities
so as to raise appreciation for
music
A qualitative approach to
understanding success from
a multi-dimensional
perspective
Success of Performances and Quality of
Orchestra
2.2.6.1
Fig 2.32
Questions to consider about Fig
2.32
What are our measures of
success?
• Artistic success
• Financial success
Quantifiable means of gauging
artistic:
• Quality of performance
(reviews)
• Challenges of programme
(musicians & audience)
Quantifiable means of gauging
financial:
• Sell tickets
• Attract sponsorship
Combined long term measures
• Season ticket uptake and
general growth in audience
base
What is missing and what is
needed from Fig 2.32?
• Adequate explanation
of the role ‘Media’ plays
in success
Represented by the
‘dotted line and ?’
• No reinforcing loops to
success – once these
have been identified the
engines of growth can be
articulated
The
Importance
of Brand
2.2.6.2
Brand – the image it
generates in people’s minds
linking the values with the
qualities of the organisation
to its audience.
First feedback loop (R1) – Brand Growth
Engine
• The existence of the loop does not
mean that it is always a virtuous
circle can be ‘vicious’ under adverse
circumstances
• Media now has a more clear role in
success
Attracting
Musicians
2.2.6.3
An orchestra needs
musicians
R2 Best Musicians
Musicians consider
• Brand
• Soloists
• Conductors
Success with
Fundraising
2.2.6.4
An orchestra needs access to
state funding. To achieve this it
needs:
• A strong brand
• To attract right supporters
• To engage and motivate
volunteers
• Fundraising acumen – often
teams of experienced
people
• Corporate involvement
It is a defined pot that all arts
are targeting.
• Private donors
• Allegiances and loyalties
• Geographic know-how very
different
Conclusion from
Orchestra Study
2.2.6.5
A diagram like this is a ‘map’ from
which the main features and their
potential interconnectedness can be
determined.
It takes ‘iteration’ and often done in a
social learning environment. The whole
team therefore needs to recognise and
agree with the ‘descriptive overview’
of the current situation.
Stakeholder’s perceptions are
therefore vital to gain a fuller picture.
Use of a trained facilitator is therefore
vital to the chances of success
End of Part 1 and
Part 2
Notes by James
Cracknell BA (Hons.)
As part of TU811 OU
Course Systems
Tools for Managing
Change
Reynolds, M. and Holwell, S. (2010) Introducing Systems Approaches, in
Martin Reynolds, Sue Holwell (Eds.) Approaches to managing Change: A
Practical Guide. London: Springer in association with The Open University

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Notes on reader introducing systems approaches prt1&2

  • 1. Notes on- Systems Approaches to Managing Change: Parts 1&2 Overview of systems thinking & Systems Dynamics A Practical Guide Eds. – Martin Reynolds & Sue Holwell
  • 2. Part 1&2 – Read as part of TU811 OU Course: Systems Tools for managing Change Notes: James Cracknell BA (Hons.)
  • 3. Chapter 1 Introducing Systems Approaches Introduction 1.1 Five approaches 1. System Dynamics (SD) – 1950’s Jay Forrester 2. Viable Systems Model (VSM) – 1960’s Stafford Beer 3. Strategic Options Development and Analysis (SODA) – 1970’s Colin Eden 4. Soft Systems Methodology (SSM) – 1970’s Peter Checkland 5. Critical Systems Heuristics (CSH) – 1070’s Werner Ulrich
  • 4. Nature of Complex Systems Three situations reported in 2009 during Easter week. a) Hillsborough Football disaster 20 years on b) Somalia – the impact of pirating c) Orangutans – a new population for an endangered species
  • 5. Key points from each story Hillsborough The tragedy continues to permeate the psyche of English football 20 years further on. Despite improvements in safety in grounds there is a continued sense that justice was far from being delivered. Cover ups at every level as well as poor leadership, dire communication and abject confusion persists to the day.
  • 6. Somalian Pirates Headlines surrounded the death and rescue of European and US citizens in yet another hostage situation. It was though, the wider repercussion that were occupying the copy with analysis on what it means for fishing industries of the Seychelles and tourism along the Kenyan coast. The costs were being counted in terms of jobs and extended hardship. Cruise ships were no longer stopping meaning a loss of trade, in fact they were avoiding the region all together.
  • 7. Orangutans Despite the discovery of a new population the species remains on the endangered list. The rainforests of Indonesia, the natural habitat, are being decimated as Palm oil is classed as a ‘clean burning fuel’. The eco fuel was now being harvested with devastating consequences for the species. The light was also shone on widespread exploitation of workers and the politics of energy production
  • 8. Big, Big Issues - 1.2.1 Three contrasting stories – a few common threads • Local issues have causes and consequences which extend the impact • That the problems were unbounded and paid no respect to national borders • All stories came with multiple perspectives often conflicting • That the backdrop cannot be ignored – 2009 and the Global economy was reeling from Global Banking Crisis – poverty, global warming, and ice melting
  • 9. Human life gets in the way No obvious answers to any of these stories, different people will take opposing perspectives, different priorities and change, intentional or otherwise has consequences that ripple.
  • 10. Messes and Difficulties – 1.2.2 Issues of concern • Complex to straightforward • Minor hiccup to catastrophic Continuum between concept of: Difficult or a Mess Difficult Mess One dimensional continuum
  • 11. Mess - Characteristics • Many interlocking aspects • Involves more people • Greater implications related to outcomes • Different guises • Longer time scale • Greater uncertainty • Hard to articulate • Multiple trajectories • Question, assumptions, and weightings • Many perspectives all dynamic
  • 12. Difficult • The answer is known but not discovered • Can be conceptualized • Take for granted context • Articulate the solution
  • 13. Two dimensional Mess Difficult Mess Certain Uncertain • Indicates overall Scale • Uncertain – means multiple perspectives • Difficulties can be conceptualised
  • 14. Why think in systems? Simplifies the thinking around complex realities. The means to handle the detail, bring it to the foreground, identify different behaviours from multiple perspectives. Terms to describe ‘Messes’ • Swamp – Donald Schon • Wicked problems – Horst Rittel • Resource Dilemmas – Neils Roling .. ..
  • 16. No one way of thinking about systems • Different typologies of approach to analysis • Emphasis in thinking between man and nature • Complexity in its very nature • Choices of approaches dependent upon perspective of user, nature of event Four perspectives under consideration
  • 17. Perspective 1: Three Traditions of System Thinking (West Churchman, Peter Checkland, Werner Ulrich, Mike Jackson & others) Three sets: Hard, Soft & Critical Hard Soft Critical
  • 18. Hard systems The presumption that systems ‘actually exist’ . Losing this assumption facilitated new more abstract constructs
  • 19. Soft Systems Moving away from the concept of ‘hard systems’ – to ‘soft systems’ as the means to transfer and impart knowledge. “Epistemological Constructs rather than real World entities” (p10) Definition of epistemological – scientific study of knowledge, its acquisition and communication’
  • 20. Critical systems To address some of the inadequate aspects of Hard and Soft by considering the ‘power relations’ – wider enforced changes on society
  • 21. Gerald Midgley – The evolution of systems thinking & practice – Three ‘Waves’ or phases of inquiry Wave Description Wave one A focus on ‘concrete’ issues with common purpose Wave two Soft focus – people, their perspectives, wants an needs Wave three Emphasis on ‘power relations’ the reengineering of social morals, actions and attitudes that shape the context As a systems thinking practioner what value would I gain from thinking of systems like this? The focus of the three-part model is about the situation, its relevance to this analysis.
  • 22. Hard & soft carry with it gender specific overtones. Overcome by a change in terminology to ‘Functionalist, Interpretivist, Emancipatory’. Thinking in silos makes it harder to identify any synergies or cross over between the three models Issues related to the three- part model
  • 23. Perspective 2: Systems Thinking for Situations – 1.2.6.2 Systems of system methodologies (SOSM) To classify system approaches aligned to a specific problem situation (Jackson, 1990)
  • 24. Dimensions of matrix Complexity - of the situation, its interrelatedness and interdependencies. Participants – Perspectives Unitary – Hard – Machine Pluralist – Soft – Organism Coercive – Critical - Prison
  • 25. Matrix Participants ‘Systems’ i.e. problem situation Unitary ‘ hard’ systems – machine metaphor Pluralist ‘Soft’ systems – organismic metaphor Coercive ‘critical’ systems – prison metaphor Simple Simple unitary: e.g. systems engineering Simple pluralist: e.g. Strategic assumption surfacing and testing Simple coercive: e.g. critical systems heuristics Complex Complex unitary: e.g. systems dynamics, viable systems model Complex pluralist: e.g. soft systems methodology Complex coercive: (non available) Adapted from Jackson 2000, p.359 – Taken from Reynolds & Howe p.11
  • 26. Total Systems Intervention (TSI) Flood and Jackson (1991) Drawing different methods together in a three-fold process 1. Creative analysis of the situation 2. Choice of a suitable systems approach 3. Implementation of that approach
  • 27. Two significant difficulties 1. Assumption that ‘all’ situations fall neatly into one of the six available boxes 2. Assumption that a particular approach is only suitable for a specific problem Nothing is ever this neat and thinking like this can detract from exploration of the alternatives.
  • 28. Perspective 3: Influences Around Systems Approaches (Ison & Maiteny) – 1.2.6.3 • Synergistic thinking • Cross fertilisation • Innovation • Moving away from the rigidity of the matrix classification • Broaden out the way systems thinking fits into other domains • Role of individual users
  • 29. Difficulties arising • One-way influences – that is this perspective is reaching out whilst others are not necessarily reaching in • Casting a wider net can mean important practitioners are missed off
  • 30. Perspective 4: Grouping of System Thinkers (Ramage & Shipp) – 1.2.6.4 • Matching individual system thinkers to their discipline • Purpose of typology – to “provide a foothold for the readers’ engagement with the 30 systems thinkers covered” (Ed. Reynolds, Howe, 2010, p14) • Authors personal mapping
  • 31. Seven Groupings – 30 Thinkers Groupings Thinkers / Practioner Early cybernetics Gregory Bateson (1904 – 1980), Norbert Wiener (1894 – 1964), Warren McCulloch (1898 – 1969) Soft & Critical systems C. West Churchman (1913 – 2004), Russell Ackoff (1919- ). Peter Checkland (1930 -), Werner Ulrich (1948-), Michael C. Jackson (1951-) Complex Theory Ilya Prigogine (1917 – 2003), Stuart Kauffman (1939 -), James lovelock (1919 -) General systems theory Ludwig von Bertalanffy (1901 – 72), Kenneth Boulding (1910 – 1993), Geoffrey Vickers (1894 – 1983) Later cybernetics Heinz von Foerster (1911 – 2002), Stafford Beer (1926 – 2002), Humberto Maturana (1928 -), Niklas Luhmann (1927 – 1998), Paul Watziawick (1921 – 2007) Learning systems Kurt Lewin (1890 – 1947), Eric Trist (1911 – 1993), Chris Argyris (1923 -), Donald Schon (1930 – 1997), Mary Catherine Bateson (1939 -) System dynamics Jay Forrester (1918 -), Donella Meadows (1941 – 2001), Peter Senge (1947 -)
  • 32. Controversy and Paradox • It is not representative of a comprehensive collection of groupings and thinkers • It is a starting point for first arrivals • Groupings are contentious within the field • Paradox – by creating this type of typography – interdisciplinary links are broken thereby stepping outside the systems thinking mindset
  • 33. Our Own Perspective 1.2.7 Attained goal – to understand how: • Different system approaches relate to each other • The various schools of thought • They can be used in practice by relating to specific situations The Five Systems – (slide 2) have been chosen because of they address: • Rich interplay between ‘situation’, ‘practioner community’ and ‘methodology’ • Connection to the three motivations for using a systems approach, namely – ‘interrelationships, different perspectives and power relations
  • 34. Five approaches to strategy making – 1.2.9 Systems dynamics (SD) 1.2.9.1
  • 35. Five approaches to strategy making – 1.2.9 Viable System model (VSM) 1.2.9.2
  • 36. Five approaches to strategy making – 1.2.9 Strategic options Development and Analysis (SODA, with Cognitive Mapping) 1.2.9.3
  • 37. Five approaches to strategy making – 1.2.9 Soft Systems Methodology (SSM) 1.2.9.4
  • 38. Five approaches to strategy making – 1.2.9 Critical Systems Heuristic (CSH) 1.2.9.5
  • 39. Chapter 2 – Systems Dynamics To create a representation of a real world situation often complex in nature. A systems approach to the management of change. Uses diagrams as the means of communicating the present situation, the interconnections, causes and outcomes as well as unplanned for secondary effects. Business thinking meets social thinking Feedback leads to dynamic behaviours
  • 40. Ways of Interpreting Situations in Business and Society Changing Perspectives – 2.1.1 From above we see the whole picture and gain on perspective. At street or road level we get another. Both are as valid, both provide information and both offer contrasting perspectives. “What appears to be chance, may, from a different perspective, have a systemic cause” p26
  • 41. Event Orientated Thinking Events create problems Solutions fix problems Congestion leads to the building of more roads Unruly binge drinking leads to a need for more police Drug crime leads to more police taking drugs off the street “The problem presents itself as a discrepancy between an important shared goal and a capricious current situation” P26
  • 42. Feedback Systems Thinking 2.1.3 Solutions are not isolated from their environment or context – the are ‘sympathetic’ Problems and solution coexist and are interdependent 5th Discipline – Peter Senge – 5 disciplines for effective organisational change
  • 43. Illustration of Feedback Systems Thinking 2.1.4 • Fig 2.3 A representation of the complexity of traffic congestion and the unintended consequences of certain actions. The position of boundaries is very dependent upon the perspective and a matter of judgement
  • 44. A Shift of Mind – 2.1.5 Fig 2.4 Feedback perspective • People involved in strategy development will hold counter views which will lead to conflicting and partial perspectives. • Advantages of thinking in feedback loops is an appreciation of where the goal or desired future state, and existing state create the discrepancy • Nothing is considered as a one-size fits all solution and actions will create extended situations • “The performance of the enterprise as a whole arises from the interplay of these interlocking feedback processes,”
  • 45. Discussion and Thoughts Linear thinking is often seen in business and government, in decision that are made and not looking at the extended ramifications of those decisions. This leads to the conclusion that many of the problems that we have now are a consequence of linear thinking. The introduction of the feedback loops emphasises the complexity and ripple effects that decisions, that are made in good faith and for the right reasons, may become the problems of the future.
  • 46. Causal Loop Diagram Concepts & Tools 2.1 John Moorcroft
  • 47. Rules and approaches • Cause and effects alongside the means for feedback. The diagram is a tool to visualise these relationships • Constructed using a mix of words, phrases, links and loops. • Conventions to be noted – the ‘+’ means - If the cause increases then the effect increases too relative to what it would otherwise have been - The ‘-’ means that if the cause increases then the effect decreases relative to what it would otherwise have been
  • 48. The central element R Reinforcing loop – amplifies and reinforces change B Balancing loop – a change in a variable leads to a counteracting change Naming conventions – identify each loop as a way of creating a narrative DELAY Delays – the identification of a time lag between a cause and effect (the variables)
  • 49. Slow to respond shower: Narrative, Causal Links & Polarity 2.2.1.1
  • 50. Process in a Shower ‘System’ – 2.2.1.1 • The causal feedback loop provides a lot of qualified information in a combined space. • The detail useful in construction of ‘algebraic simulation’ : (goal – actual) • Be aware of what links actually mean in real world; behavioural responses in respect of economic, social and physical laws • Quantitative aspects – how much does temperature rise for a given increase in water flow? • Temperature gap to ‘flow of hot water’ the most important link as embodies decision making process • What is the corrective action required? – Overreaction and iteration leads to flux • People have the control – how they choose to adjust the tap setting • Our own decision making processes Sensing the gap – stand under a shower in scuba gear and you have no sense of the gap – feedback loop collapses
  • 51. Simulation of a Shower and Dynamics of Balancing Loops – 2.2.1.3
  • 52. Dynamics of balancing loop • Balancing loops crop up everywhere • Goals set by human, social and biological needs • Business sets sales goals, quality standards etc. • Government’s – inflation, money supply, Growth and health • Humans – temperature, blood flow, digestive goals • Balancing processes far from perfect so corrective action can lead to over and undershooting
  • 53. From Events to Dynamics and Feedback Structure: Drug Related Crime • 2.2.2 P38
  • 54. Puzzling Dynamics Key points of problem • Community witnessing ‘apparent’ rise in drug fueled crime • Anecdotal evidence suggests police action getting results • Goal of system is tolerable situation – reported growth based off estimated information • We know there is reinforcing feedback at work because we see ‘growth’ • Malignant feedback entwinned with police, communities and drug users that crosses boundaries
  • 55. Feedback Loops in drug related crime 2.2.2.1 • Consider the basic vocabulary – hypothesised reasons for crime to rise. • Indicate the boundary of the problem • All factors lead to a closed loop of cause and effect – a crime spiral • Two negative links – so loop is reinforcing Central variable in question & starting place for story Community responsePolice action – inside the force The world of the drug user – addicts not driven by price. Increase in price adds to crime
  • 56. Scope and Boundary of Factors in drug Related Crime 2.2.2.2 • Loop is not the only one • Try knew loops • Challenge conventional thinking • Keep loops simple • Focus on observable problems • Qualitative feedback • Always ask what else
  • 57. An Aside: More Practice with link Polarity and Loop types 2.2.2.3 • Any individual link connects two concepts (A&B) – ‘A’ is the cause and ‘B’ the effect • For each link we imagine ‘all other influences are held constant’ (ceteris paribus)
  • 58. Purpose and Use of Causal Loop Diagrams: A Summary 2.2.2.4 Creates overview Discloses interconnections Visual summation Uncovers Mental Models Displays dynamic behaviours Expands thinking Extrapolation of the future based on existing or new behaviours Feedback on ‘observed performance’ recorded and highlighted
  • 59. Basic Tips: Picking and Naming Variables 2.2.2.5 Words are vital • Variables must be ‘Nouns’ • Augment nouns to target or clarify variable • Think in terms of being able to measure • Ground words in facts • Concepts can be ‘hard’ – easily measurable – ‘new products’ ‘new hires’ • Concepts can be ‘soft’ – intangible such as moral, isolation, perceptions • Always have in mind a means to measure or quantify (score) even intangible • Pick phrases “delivery lead time” rather than the less clear ‘delivery performance’
  • 60. Basic Tips: Meaning of Arrows and Link Polarity 2.2.2.6 Arrows are visual drivers • Change in cause leads to change in effect • Polarity works for both tangible as well as intangible • The effect on the variable is to change it ‘more than it would otherwise have been’ Marketing budget Impact on sales + Industry reputation Customer’s interested + Not as clear as a ‘Causal Loop’
  • 61. Basic Tips: Drawing, Identifying and Naming Feedback Loops 2.2.2.7 • Feedback loops for the system thinker are the equivalent of a political cartoon for the cartoonist. • A series of feedback loops on a whiteboard can identify the primary characteristic of an organization • The message is given added weight because it focuses on the dominant features
  • 62. Basic Tips: Drawing, Identifying and Naming Feedback Loops 2.2.2.7 5 Tips for visual layout • Use curved lines • Important loops are circular • Organise diagram to minimise cross-over of lines • Avoid ‘Chart Junk’ – any added to aspect that only serves to clutter and distract • Iterate – get ready to start and refine • Label clearly following conventions of polarity
  • 63. Excerpts from ‘Orchestra in a Complex World’ (Bernhard Kerres) 2.2.6 A 3 year study and consultation to develop a strategic agenda for growth • Five major indicators of success 1. Delivery of high-quality performances to attract, retain top musicians and conductors 2. Create challenging and interesting programs appealing to audiences old and new 3. Attract top managers and staff, engage and motivate volunteers 4. Raise and sustain visibility through media. Produce recordings, get broadcast and extract favourable reviews 5. Continue to develop a successful school’s outreach programme, engage with local communities so as to raise appreciation for music A qualitative approach to understanding success from a multi-dimensional perspective
  • 64. Success of Performances and Quality of Orchestra 2.2.6.1 Fig 2.32
  • 65. Questions to consider about Fig 2.32 What are our measures of success? • Artistic success • Financial success Quantifiable means of gauging artistic: • Quality of performance (reviews) • Challenges of programme (musicians & audience) Quantifiable means of gauging financial: • Sell tickets • Attract sponsorship Combined long term measures • Season ticket uptake and general growth in audience base
  • 66. What is missing and what is needed from Fig 2.32? • Adequate explanation of the role ‘Media’ plays in success Represented by the ‘dotted line and ?’ • No reinforcing loops to success – once these have been identified the engines of growth can be articulated
  • 67. The Importance of Brand 2.2.6.2 Brand – the image it generates in people’s minds linking the values with the qualities of the organisation to its audience. First feedback loop (R1) – Brand Growth Engine • The existence of the loop does not mean that it is always a virtuous circle can be ‘vicious’ under adverse circumstances • Media now has a more clear role in success
  • 68. Attracting Musicians 2.2.6.3 An orchestra needs musicians R2 Best Musicians Musicians consider • Brand • Soloists • Conductors
  • 69. Success with Fundraising 2.2.6.4 An orchestra needs access to state funding. To achieve this it needs: • A strong brand • To attract right supporters • To engage and motivate volunteers • Fundraising acumen – often teams of experienced people • Corporate involvement It is a defined pot that all arts are targeting. • Private donors • Allegiances and loyalties • Geographic know-how very different
  • 70. Conclusion from Orchestra Study 2.2.6.5 A diagram like this is a ‘map’ from which the main features and their potential interconnectedness can be determined. It takes ‘iteration’ and often done in a social learning environment. The whole team therefore needs to recognise and agree with the ‘descriptive overview’ of the current situation. Stakeholder’s perceptions are therefore vital to gain a fuller picture. Use of a trained facilitator is therefore vital to the chances of success
  • 71. End of Part 1 and Part 2 Notes by James Cracknell BA (Hons.) As part of TU811 OU Course Systems Tools for Managing Change Reynolds, M. and Holwell, S. (2010) Introducing Systems Approaches, in Martin Reynolds, Sue Holwell (Eds.) Approaches to managing Change: A Practical Guide. London: Springer in association with The Open University