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From Optimizing to Learning: A Development of Systems Thinking for the 1990s
Peter Checkland
The Journal of the Operational Research Society, Vol. 36, No. 9, Systems Thinking in Action.Conference at Henly. April 1985. (Sep., 1985), pp. 757-767.
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J Opl Rrs. Soc Vol. 36, No. 9, pp. 757-767, 1985 0160-5682185 $3.00 0.00
Printed
in
Great
Britain. All rights reserved
Copyright
1985
Operational
Research
Society Ltd
From Optimizing to Learning:
A
Development of Systems Thinking
for the 1990s
PETER CHECKLAND
University of Lancaster
In any subject concerned with rational intervention in human affairs, theory must lead to practice; but
practice is the source of theory: neither theory nor practice is prime. We can examine this 'groundless'
relation by asking what intellectual framework F is applied in what methodology M to what area of
application A'? If we do this for O.R., systems analysis, systems engineering etc., we see that F and
M
have changed d ramatica lly between the 1950s an d the 1980s, yielding the 'hard' and 'soft' traditions of
systems thinking. The 'hard' tradition, based on goal seeking, is examined in the work of Simon and
contrasted with the 'soft' tradition, based o n learning, a s exemplified in the work of Vickers an d the
development of soft systems methodology. The two are complementary, but the relat ion between them
is that the 'h ard' is a special case of 'soft ' systems thinking. This analysis mak es sense of the recent history
of management science and helps to prepare us for the 1990s.
Key
worcls
management, methodology, systems theory
INTRODUCTION
Operational research is one of those bodies of theory and practice whose concern might be
described as "rational intervention in human affairs". This concern it shares with several other
disciplines, including systems engineering,' RAND systems analysis,* soft systems methodology3
and the so-called policy science^.^ All face a more complex situation than that facing the natural
scientist, who plays his game against nature's unchanging phenomena; yet all hope to make use
of the organized rational thinking which is characteristic of the whole intellectual enterprise which
is natural science, Any approach to rational intervention in human affairs has to accept that in
studying purposeful human action and in trying to bring about change in human situations, it is
not simply a matter of setting to work to discover 'laws' governing the phenomena in question.
Autonomous human beings could, in principle, deliberately act in a way which could either confirm
or refute any supposed 'laws' of human affairs.
This means that the would-be rational intervener in human affairs cannot separate theory and
practice in the way that the natural scientist can. Such intervention requires a steady interaction
between theory and practice in a process
of
inquiry The state of the subject, or discipline, is then
best thought of as an account of the history and present state of that process. This conference on
"Systems Thinking in Action"' is an opportunity to examine some of that history and to delineate
the current state of the process. In criticizing the selection of speakers for the conference in
question, Rivett6 makes a false assumption that 'theory' and 'practice' are the concern of two
different groups of people, namely 'academics' and 'practitioners'. Both groups need to act in a
way which makes sure the assumption is false! 'Practitioners' need also to be reflective about their
actions (many are); 'academics' need also to engage in practice (many do).
The process by which O.R., systems engineering, systems analysis etc. are generated as bodies
of knowledge is shown in Figure 1 It is not as trivial a picture as it might appear. It emphasizes
the groundlessness underlying these disciplines. Theory leads to practice; but the practice is itself
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leads to
Theory
P r a c t i c e
~nt erve nton n
h u m a n a f f a ~ r s
generates
FIG.
1.
Ground1e.r.mes.r in mu nu gc~m en t rciencc -neithcv the or y nor pruc tice is pri me .
This paper, concerne d with the recent history of attem pts rationally to intervene in hu m an affairs,
and with the present state of that art-cum-science, will propose a framework which makes sense
of the history and can also be used to examine accounts of any attempts to do O.R., systems
engineering, systems analysis etc.
U N D E R S T A N D I N G R A T I O N A L I N T E R V E N T IO N I N H U M A N A F F A I R S
Keynes suggested that people who described themselves as practical men, proud to be
uncontaminated by any kind of theory, always turned out to be the intellectual prisoners of the
theor eticia ns of yesteryear.' W heth er we agre e or no t with Keynes' asse rtion, it is useful in that
it reminds us tha t all practical action is theory-laden, in the sense th at if we observe an y appa rentl y
purposeful hum an action, we can always ask of it: Wha t intellectual framew ork would in logic
ma ke this particular action m eaningful? (Th is question is independent of whether the doer is
conscious of the deduced fram ew ork.) Thi s linking of ideas an d their use in action suggests that
it would be useful to make a distinction between, on the one hand, a basic set of ideas, and on
the other, a process (or methodology) for applying those ideas in an organized way to some
particular area of application. This gives us Figure
2 as an expansion of Figure 1. We now have
In te l lectua l
framework
F M A f r om
the use of M
F I G
2.
The organized
us
u rutional tkoziglzt.
some linked ideas in a framework F a way of applying these ideas in the methodology M and
an application area
A. A
is indicated without s harp bound aries to remind us that when A is human
affairs, the application of F through M may lead us into byways not initially expected.' Having
used M then, we may hope for, and may reflect upon what learning has been acquired, learning
about all three elements: F M and
A.
Thi s is a very general model of the organized use of ration al
thought, and applies not only t o O .R . but to applied natural science as well. Fo r example, in the
pharmaceutical industry in the 1980s, one definition of A is the search for economy of
experime ntation in seeking useful drugs; qu an tum th eory provides an well-tested in othe r fields
of science; and modern sophisticated computer graphics provides a new
M
in which models of
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Clzecklund-Development of Sy ste m s Thin king for the
199 s
' O P T IM I Z I N G ' : ' H A R D ' S Y S T E M S T H I N K I N G : T H E 1 95 0s A N D 1 960 s
In the years after the Second World War, when lessons from military operations were applied
to industrial companies an d governmen t agencies, a n interest in systems ideas developed in m any
fields. (That interest was signalled by the founding in 1954 of the Society for. General Sy ste ms
Research
a gro up of people interested in the application of systems thinking across the bound aries
of traditional disciplines.) Ideas about system control were generalized across disciplines in
cybernetics, the stu dy of the unde rlying logic of the cont rol of systems of any kind.9 n the language
of this paper, (Figure 2) now contained the notion of optimizing the structure and behaviour
of systems and m aintaining them in that sta te. But if this notion is to be applied to 'hum an systems',
then some concept of the nature of the latter is needed: a view has to be taken on what it is in
'hum an systems' th at can be 'engineered'. The answer adop ted in the 1950s and 1960s was: goal
seeking. I t was assumed that any human activity could be regarded as a goal-seeking system, and
the thinking which constituted and (Figure 2) could be condensed into:
define the system of concern;
define the system's objectives;
engineer the system to meet those objectives.
This has been a coherent and powerful strand of thinking in the last 30 years: it is the 'hard'
paradigm of systems
This paradigm is succinctly expressed in Ackoff's assertion written in 1957:
All p roblem s ultimately redu ce to the eva luation of the efficiency of alternative
means for a designated set of objectives .
T ha t is the belief which drives work within the 'hard' trad ition . It is the basic idea which underlies
one of the largest and most influential bodies of work in management science, that of Herbert
Simon. This example is used here because it has been the subject of recent public discussion at the
IFORS conference , O.R. 84.I2, l3
T ha t conference included a 'round -table', whose billing derived from the title of Simon's
well-known book.14 Th e discussion considered the que stion: Is th e new science of man agem ent
decision still new? Za nne tos started the rou nd- tabl e by presentin g a pap er which reviewed Simon 's
work.I5
He neatly summarized Simon's legacy as:
a theory of problem solving, programs and processes for developing intelligent
machines and approaches to the design of organisation structures for managing
complex systems .
In seeking a true science of administrative behaviour and executive decision making, Simon
shrewdly abandoned the notion of optimizing. He pointed out that the abstraction from reality
necessary to facilitate mathem atical m anipu lation of O .R . mod els runs the dan ger of convincing
the analyst th at the simplified problem was the proble m he wan ted to solve all along;I4 (p. 18) an d
in any case, such abstraction isolates problems which in fact occur in rich contexts which are
themselves part of the problem .' ' S imon and March,' n developing a behavioural theory of the
firm, used the notion of managers searching not for optimum solutions but for ones which were
good enough in the perceived situation, the search itself being
motivated by the existence of problems as indicated by gaps between performance
and goals 15 (p. 73).
Thu s, althou gh the concept of optimizing is wisely dropped in relation to h um an affairs, the core
idea underlying the search for heuristics for real-world problem solving is that of goal seeking as
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management science. In his words:
Problem solving proceeds by erecting goals, detecting differences between present
situation an d goal, f inding in mem ory o r by search tools or processes tha t are relevant
to reducing differences of these particular kinds, and applying these tools or
processes. Ea ch problem generates subproblems until we find a sub problem we can
solve-for which we already have a pro gram stor ed in mem ory. We proceed until,
by successive solution of such subproblems, we eventually achieve our overall
goal-or give u p m i4 p. 27).
M y purp ose h ere is to illustrate the centrality of the concept of go al seeking in the managem ent
science thinking of the 1950s an d 1960s. Sim on provides a go od exam ple simply because his work
has been so importan t. At the IF O R S round-table 1 suggested in the discussion tha t a good way
to pay tribute to Simon's work would be to try to build beyond it by rejecting the use of the idea
upo n which it was based, namely goal seeking. This did n ot appeal to the speakers. Both Z anne tos
and, in discussion afterwards, Simon himself argued that although it is the case that in real life
the goals change all the time, the concept of goal seeking is still useful for analytical purposes.
M y suggestion had been tha t Vickers ' concept of relationship maintaining was m ore fruitful than
that of goal seeking, being not only closer to reality but also overcoming the problem of treating
as fixed an element you know is really continually changing. Vickers' ideas can in fact be used to
examine the newer versions of systems thinking which have emerged in the last decade or so. They
modify both the f ramework (F) and the methodology
M)
of Figure 2.
' L E A R N I N G ' : ' S O F T S Y S T E M S T H I N K I N G : T H E 19 70 s T O T H E 1990s?'
Appreciative systems
It is noticeable that heuristic pro gram m ing, as in Simon 's G .P.S . project, like mu ch w ork in
artificial intelligence, has so far concentrated on the solution of trivial problems for which goal
statements are unambiguous. The much-studied game of chess, for example, provides such a
problem: the goal is to win the game, and you either achieve that goal within the rules of the game
or fail to achieve it . The work can then concentrate o n the logic of the game and its rules. How ever,
situational logic is much simpler than real-life problem situations, in which different logics
(associated with different actors an d outloo ks) interact intermittently. In u nderstan ding the 'hard '
tradition of systems thinking and trying to go beyond it, it is useful to start from real-world
experience and see what patterns can be discerned in it. The work of Geoffrey Vickers does this,
and provides an introdu ction to the 'soft ' tradition of systems thinking which complements the
'hard' one.
Vickers was neither a 'practitioner' in any management science sense nor an 'academic' in a
professional sense. But he was a splendid example of a reflective advisor and manager who had
both a wide experience of the world of affairs and an insatiable curiosity which led him to think
hard and long about his experiences in order to 'make sense', as he put it, of his professional life.
Bo rn in 1894, he was, after the F irst World W ar, a part ner in a firm of solicitors in the City. Dur ing
the Second World War, he was Director of Economic Intelligence at the Ministry of Economic
W arfare. After the war, he became legal advisor to the National Coa l Board, then B oard M em ber
responsible for manpower, training, education, health and welfare. Other public posts followed;
then in retirement Vickers started a new career, that of making sense of 40 years' experience of
wh at he termed 'governance': the exercise of judgem ent, the weighing of moral issues. the creation
of form. This mental activity he regarded as com mo n to statesmen, judges, artists, doctors an d
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P Checkland-Development of System s Thinking f o r the 1990s
The title of Vickers' last book (Human Systems are Different) is significant. He argued steadily
that the human and social sciences are intrinsically different from the natural sciences. In a
discussion at the Silver Anniversary Meeting of the Society for General Systems Research in
Lon don in 1979, he gave the following illustration of his groun ds for takin g tha t view. Ptolo my
an d Co pernicu s offer completely different theories concerning the stru ctur e of the solar system. The
actual structure is entirely unafrected by belief in either theory, but when Marx produces a theory
of a cultural artefa ct, namely 'history', then history is changed as a result of allegiance to the theory .
Vickers was thu s wholly opposed to Simon's notion of creating qu asi-natura l sciences of cultural
artefacts (wh at Simon calls The Sciences of tlze A r t i J i ~ i a l ) . ~ ~nd Vickers' development of the
concept of 'appreciative systems' starts from a rejection of goal seeking as an adequ ate m odel of
human behaviour. Hence we can use the work of Simon and Vickers to represent the polarity in
systems thinking.
In the 1950s, Vickers was influenced by systems thinking and cybernetics, and found them very
useful in und ersta nd ing the social process of 'governance'. His interest in systems ideas was
humanistic rather than technological:
"While
I
was pursuing these thoughts, everyone else who was responding at all
was busy with man-made systems for guided missiles and getting to the moon or
forcing the most analogic mental activities into forms which would go on digital
computers. 'Systems' had become embedded in faculties of technology and the very
w o r d h a d b e c o m e d e h ~ m a n i z e d " . ~ ~
Vickers re-hum anized the word 'systems' in the concep t of appreciatio n, a concep t which begins
with his rejection of both the goal-seeking model an d th at version of the cybernetic model in which
standard s are set from outside the system. His boo ks give discursive accou nts of the n ature of an
appreciative system. The most succinct account is in a letter he wrote to me when he and
I
were
discussing sof t systems methodology as a pract ica l orchestra t ion of the process of apprecia t i~n.~~
He wrote in 1974:
"It seems to me in retrospect t hat for the last twenty years 1 have been contribu ting
to the general debate the following neglected ideas:
(1)
In describing human activity, institutional or personal, the goal-seeking
paradigm is inadequate. Regulatory activity, in government, management or
private life consists in attaining or maintaining desired relationships through
time or in changing and eluding undesired ones.
(2)
But the cybernetic paradig m is equally inade quate, because the helm sman h as
a single course given from outside the system, whilst the human regulator,
person al o r collective, contro ls a system which g enerates mu ltiple and m utually
inconsistent courses. The function of the regulator is to choose and realise one
of many possible mixes, none fully attainable. In doing so it also becomes a
major influence in the process of generating courses.
(3)
From (1) and (2) flows a body of analysis which examines the 'course-
generating' function, distinguishes between 'metabolic' and functional re-
lations, the first being those which serve the stability of the system (e.g.
budgeting to preserve solvency and liquidity), the second being those which
serve to bring the achievements of the system into line with its multiple and
changing standards of success. This leads me to explore the nature and origin
of these standards of success and thus to distinguish between norms or
standards, usually tacit and known by the mis-match signals which they
generate in specific situations, and values, those explicit general concepts of
wha t is hum anly good and b ad which we invoke in the debate abo ut standa rds,
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( 5 )
This identification of a fam iliar men tal activity leads to its further analysis and
to a suggestion for conceptualising it in a way which will include both its fact
finding and its evaluative function and will thus escape the sterilising isolation
of the cognitive function which ha s mark ed m ost of the study of thinking. This
in turn shows th at its contents are systemically related a nd form a system which
enables, limits and characterises how the agent will discriminate his situation,
wh at he will ma ke of it an d wha t 'match ' or 'mis-match' signals it will set
resonating in him.
(6)
By this stage I am trying explicitly to formulate an epistemology which will
accou nt for what we manifestly d o when we sit round board tables or in
committee rooms (and equally though less explicitly when we try, personally
for example, to decide whether to accept the offer of a new job). A t this point
I find myself in conflict with some, I think out-dated, concepts derived from
the earlier history of the natural sciences and their methods, and more
generally, from the attempt to apply these to what Simon calls the sciences of
the artificial.
U p to the middle of paragraph (3) above,
I
am offering a critique of curre nt theories
of decision-making and policy making which does not explicitly need the concept
of appreciation. From there on
I
am developing an epistemological theory which
uses decision-making and policy making as its examples but is basically concerned
with the nature of hu ma n understanding a nd hum an value judgment. M y personal
interest lies chiefly in this second area , but the people w ho read m y bo oks lie chiefly
in the first .
Thus, in summary, an appreciative system is a cultural mechanism which maintains desired
relationships and eludes undesired ones. The process is cyclic and operates like this: our previous
experiences have created for us certain standards or norms, usually tacit (and also, at a more
general level, values, more general concepts of what is humanly good or b ad); the stand ards, n orms
and values lead to readinesses to no tice only certain features of o ur situations; they determine what
'facts' are relevant; the facts noticed are evaluated aga inst the norm s, a process which
both
leads
to our taking regulatory action and modifies the norms or standards, so that future experiences
will be evaluated differently. T hu s Vickers argues2' tha t ou r hum an experience develops within us:
. . readinesses to notice particular aspects of our situation, to discriminate them in
particular ways and to measure them against particular st and ards of com parison ,
which have been built
up
in similar ways (italics added).
These readinesses are organized circularly into an appreciative system which creates for all of
us, individually and socially, our appreciated world. We fail to see this clearly, in Vickers' view,
because of the conce ntration in o ur science-based culture on linear causal chains and o n the no tion
of goal seeking.
Vickers wro te consistently against the ad op tion of what he regarded as a poverty-stricken model
of human behaviour, namely goal seeking. He argued for the concept of relationship maintaining
as the basis of a richer and more realistic model. His work thus provides an intellectual base for
new versions of F and M in Figure 2.
Let me end this brief introduction to Vickers' ideas with a lethally elegant paragraph from
Freedom in a Rocking Boat2' (p. 128):
The meaning of stability is likely to remain obscured in Western cultures until they
rediscover the fact that life consists in experiencing relations, rather than in seeking
goals or 'ends'. The intrinsic confusion a bo ut means a nd ends arises from the fact
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Checkland-Development of Sys tem s Thinking for the 1990s
Soft systems methodology
Vickersm ade no claimsfor theidea of appreciativesystemsbeyond its value in
understanding
the soc ia l process which character izes human a ffai rs . His a im was unders tanding ra the r than
intervention:inthetermsofFigure
2,
heprovidesanew F ra ther thananM Nevertheless,during
the yea rs in which Vickers was developing h is ideas and wr it ing h is books a methodology for
r at ional in te rv en ti on i n human a ffa irs was b eing d eveloped which maps on t o th e i de a of
apprecia tive system$ (pp.
261-264).
I refer to sof t systemsmethodology (S.S.M.) , whichcan be
seenastheorchestrationoftheoperationofanappreciativesysteminahumansituationperceived
as problemat ica l . S .S .M. has been fu l ly desc r ibed e l~ewhere .~ .~Were , nlyenoughof i ts content
willbedescribedtomak eclearthelinkwithVickers'ideasand tomak epossiblethefinaldiscussion
inthispaperoftherelationbetweenthetwoversionsof M relatedtorationalinterventioninhuman
affairs : the 'hard ' and 'sof t' t raditions of systems thinking.
S.S.M.wasdevelopedbecausethemethodologyofsystemsengineering,basedondefininggoals
orobjectives,simplydidnotworkwhenappliedtomessy,ill-structured,real-worldproblems.The
inabili ty to def ine object ives, or to decide whose were most important , was usually par t of the
problem.Th emethodologywhich emergedhas the general shap e indicated in Figure
3
I ts most
C o m p a r ~ n gmodels
wlth per eptions
In the problem
The r ea l wor ld
events unfolding
through t lme
Syst ems t h lnk lng
a b o u t t h e r e a l
world
of the human
Relevant human
a c t l v l t y s y s t e m s
act lvl ty systems
n a m e d I n th e
named In root
r oot def ln l t lons
d e f l n l t ~ o n s u si ng
the CATWOE
elements
IG 3 The nature of soft systems methodology ( S. S. M .)
C A T W O E :
C ('customers')
W ho would he victims or henejciaries of this system were it to exist?
A ( 'actors')
W ho would carry out the actiz>ities f this system?
T
('transforma tion process')
What input is transformed into what output hy this system?
W ( Weltanschauung')
What image of the world makes this system meuning/iul?
('owner') W ho could abolish this system?
E
('ent~ironrnentalconstraints')
Wha t external constraints does this system take as ~itlcv17
importantcharacteristicsareasfollows:
(1)
I t moves f rom f inding out abo ut a problem s ituat ion to tak ing ac tion in the
situation:it doessobycarryingoutsomeorganizedexplicitsystemsthinking
abou t the real-world si tuat ion.
(2)
Somehumanactivitysystems
relevant to
exploring(not o f ) the s i tuation are
carefullynamedin 'rootdefinitions'(R.D.s.)~pp.115-119,166177,215-221).
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(4)
Conceptualmodels of the systemsnamedintheR.D.sarebui ltypp. 169-177
andAppendix 1) . They aremodels ofpurposeful activityconsidered relevant
to
debateandargumentabouttheproblemsituation.Theyarenotatthisstage
thought of asdesigns.
( 5 )
The debate about the situation is structured by comparing models with
perceptions ofthe realworld.Theaim ofthedebateis to findsomepossible
changeswhichmeet twocriteria:systemicallydesirableand culturallyfeasible
in theparticular situationin question.
(6)
Definitionofdesirableandfeasiblechangesgivesanewproblemsituation(how
toimplement),and the cyclicprocess can begin again.
(7)
S.S.M.thus seeksaccommodation among conflictinginterests.
(8)
S.S.M.is doubly systemic. It is itself a cyclic learning process; and it uses
systems
models within that process.
S.S.M.can bemapped onto theappreciativesystemconceptboth atageneral levelandmore
specifically.At a general level, both accept that in social life there aremultiple realities. Our
perceptionsofculturalartefactsareacquiredwithin taken-as-given assumptionsabout theworld
whicharethemselvesbuiltupbyourexperiencesintheworld.(Itisthatwhichresultsinoneman's
'terrorism' beinganother's 'freedom fighting'.) Becauseofit,modelsofhuman activitysystemsin
S.S.M.donotpretend tobemodelsoj'theworld,onlymodelswhichembodyaparticularstated
way of viewing the world. Given a set of suchmodels, comparing them against the different
perceptionsof theproblem situationwhichdifferent concernedpeoplemay 'own' articulates in a
formalway the processVickerscalls 'appreciation'. ThedebatewhichS.S.M.engineers through
thecomparisonphaserevealsthenorms,thestandards,thevaluesextantintheproblemsituation
and contributes to their changing.
It is virtually impossible to perform thecomparison phase of
S.S.M.withoutmodifying thereadinessesoftheparticipantstoperceivetheworld inaparticular
way. 'Appreciative settings' will berevealed,aswill thedegree towhich they
are
changing,
could
be changedor-in the framework of stated
Welta~~~chauungen- ~hould
e changed.
Thislearningwhichoccursthrough the useofS.S.M.ensuresthat theprocess is acyclicone,
inprincipleanever-endingone.Inarticulatinginaformalwaytheprocessof'appreciation', S.S.M.
shareswithVickersanepistemology whichextends-or subverts-that of the'hard' paradigmof
goal seeking,with its time-bound languageof 'goals' which are'achieved' and 'problems' which
are 'solved' out ofexistence.
The ideaof 'appreciative systems', togetherwith the practice ofS.S.M.,whichcan be seenas
a formal practical expression of it, thus helps to define a strand of systems thinking usefully
differentfrom thatdevelopedinthe 1950sand 1960s.ItincludesnotonlytheworkofVickersand
thedevelopmentof S.S.M.;otherwork canbroadlybe related to it, even though thehistoryof
ideas isneverclear-cut: forexample, thework ofChur~hman ,~ ' MasonandM i t r ~ f f , ~ ~~ k o f f , ~ ~
Thompson3' and Eden et ~ 1 . ~ ' be seen as contributing to and helping to create the 'soft'an
tradition.
Itremains finallyto relate these twoparadigms ofsystems thinking, 'hard' and 'soft', toeach
other.
THE RELATION
BETWEEN THE TWOTRADITIONS
Ithasbeenarguedherethatitisusefultoexaminethestateofthinkingandpracticeconcerned
with rational intervention
in
human affairs in the languageof Figure
2.
What is the intellectual
framework,F ? Whatis themethodology,
M,
whichappliesit?Ifweaddressthosequestions, then
we canmakesenseofthe last 30years in 'management science', broadlydefined,asrepresenting
ashiftfromoneversionof
and
M
toanother.Butitwouldbewrongtoregardthenewerthinking
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P. Checkland-Development of Sys tem s Thinking for the
199 s
This implies that there will be judgements to be made concerning the systems thinking
appropriate in particular situations in human affairs. And that directs attention to a comparison
between hard and soft systems thinking in order that those judgements may be well informed.
The final aim of this paper is to examine hard and soft systems thinking together and to establish
their relationship.
The nature of the hard tradition can be summarized as follows: it seeks to make possible the
efficient achievement of goals or objectives, taking goal-seeking to be an adequate model of human
behaviour; it assumes that the world contains systems which can be engineered , hence that models
of those systems can be made; it talks the language of problems and solutions which eliminate
problems.
The soft tradition does not regard goal seeking as an adequate model for much of what goes
on in human affairs; it does not assume that the rich complexity of the world can be captured in
systemic models, and hence regards system models produced within the hard tradition not as
models of
X
but only as models of the logic of
X .
Hence the soft tradition regards system
models as models relevant to arguing about the world, not models of the world; this leads to
learning replacing optimizing or satisficing ; this tradition talks the language of issues and
accommodations rather than solutions .
These differences are summarized in Table 1, which also lists the obvious advantages and
disadvantages of each tradition. Table shows the complementarity of the two bodies of thought;
but what is their mutual relationship?
TABLE.
The hard and soft traditions of systems thinking compared
The hard systems
The soft systems
thinking of the
thinking for the
1950s and 1960s 1980s and 1990s?
Oriented to goal seeking
Oriented to learning
Assumes the world contains systems Assumes that the world is problematical
which can be engineered
but can be explored by using system
models
Assumes system models to be models of Assumes system models to be intel-
the world (ontologies)
lectual constructs (epistemologies)
Talks the language of problems and Talks the language of issues and
solutions accommodations
ADVANTAGES
ADVANTAGES
Allows the use of powerful techniques
Is available to both problem owners
and professional practitioners; keeps in
touch with the human content of prob-
lem situations
DISADVANTAGES
DISADVANTAGES
May need professional practitioners
Does not produce final answers
May lose touch with aspects beyond the
Accepts that inquiry is never-ending
logic of the ~r ob le m ituation
There are undoubtedly situations in which the language of problems requiring solutions is
appropriate. If you are a mail-order company whose catalogue generates orders which then take
months to fulfill because of inadequate stocks, or a library with a significant proportion of the stock
not catalogued, then you have a problem which calls for a system to be engineered to solve it.
Nobody would argue with this because at this basic operational level there is very often a complete
consensus on what needs to be done and what constitutes efficiency in doing it. However, at levels
above the operational, consensus quickly breaks down. Discussing the potential product range of
the mail-order company, or how the library s budget should be spent, will quickly reveal different
perceptions of the relevant worlds: what at the operational level may be agreed problems quickly
become, at higher levels, issues created by clashing norms, values and Weltanschauungen. This
suggests that the relation between hard and soft systems thinking is not like that between apples
and pears: it is like that between apples and fruit. The well-defined problem needing solution is
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Journal of the Operational Research Society Vol. 36, No. 9
naming several elements: the transformation process it embodies: the Weltanschauung which makes
this perception meaningful; the system's victims or beneficiaries; its actors; its owners; and the
environmental constraints which it takes as given (i.e. the CATWOE elements). Occasionally, in
the special case, these elements condensed into unproblematical 'objectives'.
Thus, using the example of S.S.M., we see that 'soft' systems thinking is the general case of which
'hard' systems thinking is the occasional special case, a relationship shown in Figure
4.
I n
S S M :
re l evant system s
r o o t d e f ~ n i t ~ o n s
CATWOE
T h e u n p r o b l e m a t ~ c a l
system wi th
d e f i n e d o b j e c t i v e s
FIG
4 The relation hetween he two traditions qf 'systems lhinking
CONCLUSION
If we ask what is the single most marked change in moving from the special ('hard') case of an
unproblematical system which can be engineered to the general ('soft') case of an issue-based
situation in which accommodations must be sought, it is probably best thought of as the shift from
thinking in terms of models of (parts of) the world to models relevant to arguing about the world.
Applied social science (which intervention in human affairs is bound to be) normally has to deal
in the latter. I t is interesting to note
how
clearly Keynes saw this in the case of economics. He put
it to R. F. Harrod in 1938 during the discussion of the latter's presidential address to the Royal
Economic Society:
It seems to me that economics is a branch of logic, a way of thinking; and that
you do not repel sufficiently firmly at te mp ts .. to turn it into a pseudo-natural
science.
.
Economics is a science of thinking in terms of models joined to the art
of choosing models which are relevant to the contemporary world. It is compelled
to be this, because, unlike the typical natural science, the material to which it is
applied is, in too many respects, not homogeneous through time (italics added).
Everything said here about economics applies with equal force to management science. Valiant
efforts have been made to turn it into a pseudo-natural science . The result has been useful models
of
one aspect
of situations arising in human affairs, namely their logic. But these models tend to
pass by the humanistic content of human affairs, namely their issues. Because the material to which
management science is applied is, in too many aspects, not homogeneous through time , we need
the extension of 'hard' systems thinking which the 'soft' tradition is beginning to supply. It will
help us to be better armed, intellectually, to face the problems of the 1990s.
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P Clzeckland-Development of Sy st em s Tlzinking for tlze 1990s
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From Optimizing to Learning: A Development of Systems Thinking for the 1990s
Peter Checkland
The Journal of the Operational Research Society, Vol. 36, No. 9, Systems Thinking in Action.Conference at Henly. April 1985. (Sep., 1985), pp. 757-767.
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References
10 O.R. and the Systems Movement: Mappings and Conflicts
Peter Checkland
The Journal of the Operational Research Society, Vol. 34, No. 8, Systems in O.R. First InternationalIFORS and O.R.S. Meeting. Discussion Conference at Henly, U.K. 9-11 May 1983. (Aug., 1983),pp. 661-675.
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