"Managing Complexity" - Article Richard Straub EFMD Global Focus Magazine
- 2. Managing complexity: an idea whose time has come by Richard Straub
EFMD Global Focus: Volume 07 Issue 02 | 2013
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Our world is increasingly subject
to failures that require systems-level
and cross-systems-level thinking
and approaches. The consequences
of any decision can ripple with
unprecedented speed across
business ecosystems the way the
crisis has impacted nearly every
market. For CEOs and their
organisations, avoiding complexity
is not an option – the choice comes
in how they respond to it.
IBM CEO Study
“Capitalizing on Complexity”
W
e may have different visions about the
future. Few, however, would doubt that
the world has become more complex
in recent decades and that it continues this journey
at an accelerating and—for many of us—unsettling
pace. With digitisation, the interconnectivity
between people and things (software “talking” to
software) has exploded. Dense, global networks
now define the technical, social and economic
landscape. This interconnectedness and
interdependency brings about entirely new
risks, as well as opportunities, at every level.
A scholarly interest in complexity, as a subject
unto itself, began in earnest some 30 years ago.
This was when, for example, researchers at the
University of St Gallen in Switzerland developed a
management model based on Systems Thinking.
Popular literature propagated “complexity theory”—
in particular, the notion of the “butterfly effect” by
which a small event in a remote part of the world
(such as the flap of a butterfly’s wings) could trigger
a chain of events that would add up to a huge
disturbance in the larger system (such as a
hurricane many thousands of miles away).
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With this, managers’ eyes were opened to the
reality that organisations are not just complicated;
they are complex. To be more precise, organisations
are complex, adaptive systems because they are
made up of humans with brains and, as such,
possess learning capabilities.
Peter Senge’s landmark 1990 book, The Fifth
Discipline: The Art & Practice of The Learning
Organization, showed the potential for
organisations to enhance their learning capacity
at a system level and to increase their nimbleness
and competitiveness. Senge’s bestseller resonated
strongly around the world and unleashed a flurry
of literature on what was described as a new kind
of “learning organisation”.
But, in reality, little changed.
This wave of interest in complexity thinking led to
few actual new practices being adopted among
corporations. Why?
There are, I think, five major reasons for the failure
to affect management. At the same time, a deeper
look at these impediments also suggests why this
long-overdue shift may finally be poised to take
place.
It is hard for managers to think
multi-dimensionally
Where complexity exists, managers have always
created models and mechanisms that wish it
away. It is much easier to make decisions with
fewer variables and a seemingly straightforward
understanding of cause-and-effect.
The notion of “maximising shareholder value,”
which determines so much corporate behaviour
these days, is the perfect example. This school
of thought provides clear-cut and “simple”
guidance to decision makers and relieves them of
considering difficult trade-offs. We know, of course,
that constantly dialling down investments to boost
short-term profits or divesting assets to show
a better return on assets (ROA) number often
damages the long-term health of a company.
Still, all too many executives play this game.
By contrast, a complexity approach demands that
competing values and priorities remain in view
— and not just for the good of shareholders but
for customers, employees and society at large.
A complexity approach demands
that competing values and priorities
remain in view — and not just for
the good of shareholders but for
customers, employees and society
at large
- 4. Managing complexity: an idea whose time has come by Richard Straub
EFMD Global Focus: Volume 07 Issue 02 | 2013
What is more, the increasing ability of individuals
and teams to connect through enterprise social
media may lead, at last, to the widespread flowering
of the learning organisation. By leveraging instant
messaging, blogs, wikis and other platforms, more
and more companies are creating living networks
where knowledge is generated and then flows
across organisational silos in unprecedented ways
and at unprecedented speeds.
Too often in the past we have ignored the
human element
Although it has taken time for the technology to
emerge that is allowing us to better cope with
complexity, many managers have been leery to
even try because of a nagging concern: Might we
reach a tipping point when human brainpower
becomes obsolete? Might robots or computers,
as Ray Kurzweil suggests, supplant the knowledge
worker?
The good news is that the shareholder-is-all
paradigm is showing increasing signs of strain. A
growing chorus of thought leaders (including Roger
Martin and Stephen Denning) and organisations
(such as the Aspen Institute and Conscious
Capitalism) are pushing back against the “maximise
shareholder value” school. And a growing number
of companies — Unilever, Starbucks, Costco and
Amazon come quickly to mind — are explicitly
embracing a more complex orientation.
Until recently, technology was not powerful
enough to capture much complexity
When systems thinkers and theorists turned their
attention to the implications for organisations in
the 1980s and 1990s, the tools simply did not exist
to model their workings at a level that would yield
practical insight.
Now, the exponential increase in computing
power and the progress in mathematics and
statistical analysis have propelled us into a new
era. With the ability to draw on “Big Data” and map
networks at scales that were unthinkable only a
decade or so ago, we can begin to understand
communication flows through large organisations,
as well as the impact of disturbances and
managerial interventions on these flows.
For many of us, this is a disturbing thought because
we have seen so many of the models designed to
predict the future state of complex systems (from
economies to climates) fall far short of accuracy.
The eager futurists talking about machines taking
over evaluation of situations and decision making
have set back their own cause, as others see them
ignoring an essential fact: sense-making is always
informed by values. The idea that we might look
for value judgments from algorithms is badly flawed
if not downright dangerous.
Fortunately, there is a growing recognition that,
while computers can provide our brains with
enormous extensions of its storage and processing
capacity, machines must remain only inputs to
human reasoning.
It is in our minds — often in communication with
other minds — where the ultimate evaluation and
deliberation must continue to take place. The brain
is the very best “complexity processor” and itself
our most complex organ.
For managers, new skills are becoming essential
to manage all of this Big Data: to determine what
the analytics should be solving, to decide what
information is truly relevant to the enterprise and
what simply constitutes “noise,” and to make critical
value judgments about privacy and security.
In the end, we are slowly recognising that
technology alone cannot solve the knottiest
problems in complex organisations. The machine
must be in service to human beings — not the
other way around.
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We have confused the truly “complex” with the
merely “complicated”
It is crucial that decision makers understand the
difference between a complicated problem and
a complex one because the two require different
strategies and tools.
Sometimes a problem will morph from one state
to the other — either from complicated to complex
or vice versa — and so managers need to be ready
to adapt their approaches accordingly. They are
largely not interchangeable.
How are these concepts different?
In their 2011 Harvard Business Review article
“Learning to Live with Complexity,” Gokce Sargut
and Rita Gunther McGrath offer this fundamental
distinction: “The main difference between
complicated and complex systems is that with
the former, one can usually predict outcomes
by knowing the starting conditions. In a complex
system, the same starting conditions can produce
different outcomes, depending on interactions of
the elements in the system”.
The move from linear thinking to complexity is
indeed a paradigm shift. It may be comparable
with the move from Newton’s physics to Einstein’s.
Newton’s laws did not disappear with Einstein’s
revolutionary discoveries but Einstein opened the
door to an entirely new world — unseen before.
In this sense, complexity must become our
worldview — a basic mindset guiding us in our
assessments of situations and decisions. It should
make us more humble and more alert. It should
open our minds. It should spur an awareness that
too often our linear interventions do not achieve
what we want, and may even result in unintended
consequences.
We have much more work to do to understand
the difference between the complicated and the
complex. But we are at least beginning to create
a common language around these ideas.
The move from linear thinking to
complexity is indeed a paradigm
shift. It may be comparable with
the move from Newton’s physics
to Einstein’s
Many managers have not found
“the innovation fulcrum”
In their quest for double-digit growth in singledigit markets, many companies are finding
themselves in an almost unmanageable state of
complexity — one that they often do not realise
is of their own making.
This “Complexity Crisis,” as John Marotti calls it in
his book of the same name, is caused by a runaway
proliferation of products, customers, markets,
suppliers, services and locations. All of these add
costs, which go untracked by even the best of
modern accounting systems. Complexity also
tends to fragment management focus. The
Complexity Crisis thus becomes a hidden profit
drain for many companies today and it remains
under the radar screen of those who cause it.
As bad as this situation is for business, it might
be even worse for government. In a number of
European countries, including Austria, Belgium
and France, the government’s share of GDP now
exceeds 50%. And this does not include the hidden
costs to the private sector that are imposed by
any bloated public administration, with its flawed
regulations and convoluted tax systems.
In their 2005 Harvard Business Review article
“Innovation Versus Complexity: What Is Too
Much of a Good Thing?” Mark Gottfredson and
Keith Aspinall explain that organisations must
decide how much innovation is appropriate
before it leads to needless, or even damaging,
complexity. The goal is for managers to find
“the innovation fulcrum” — the pivot point where
innovation suddenly tips over into complexity.
The authors put it as follows: “The pursuit of
innovation can be taken too far. As a company
increases the pace of innovation, its profitability often
begins to stagnate or even erode. The reason can be
summed up in one word: complexity. The continual
launch of new products and line extensions adds
complexity throughout a company’s operations,
and, as the costs of managing that complexity
multiply, margins shrink”.
Peter Drucker recognised the same phenomenon.
50%
In a number of
European countries,
including Austria,
Belgium and France,
the government’s share
of GDP now exceeds
50%, and this does not
include the hidden
costs to the private
sector that are imposed
by any bloated public
administration, with its
flawed regulations and
convoluted tax systems
- 6. Managing complexity: an idea whose time has come by Richard Straub
EFMD Global Focus: Volume 07 Issue 02 | 2013
19
Yet most management practices are still anchored
in the pre-complexity world. The pioneers who
not only preach but also apply new complexitytested management methods and tools such as
Fredmund Malik, a pioneer of Cybernetics-based
management and the Scrum Alliance in the field
of complex projects are the exception rather than
the rule.
For years, Gary Hamel has been the most vocal
proponent of a new management paradigm. In
his Harvard Business Review article “Moon Shots
for Management,” he and a group of prominent
thinkers and business leaders (including the late
CK Prahalad, Julian Birkinshaw, Tim Brown, Yves
Doz, Henry Mintzberg, Vineet Nayar and Peter
Senge) jointly define a set of grand challenges
to move management out of its bureaucratic
and hierarchical ghetto.
Stripping out unnecessary
complexity from products and
services has become a major
movement in emerging markets
– so-called “frugal innovation”
has led to stunning results in
fields such as mobile devices
and medical equipment
In his classic 1963 Harvard Business Review article
“Managing for Business Effectiveness,” he asserted
that clarity of focus is critical in allocating resources,
which is the essential job of management. The hard
part of innovation is sorting out which ideas should
make the cut — and which should be abandoned.
Not everyone, thankfully, is failing in this exercise.
Stripping out unnecessary complexity from
products and services — and targeting them to
specific customer needs (including affordability)
— has become a major movement in emerging
markets. So-called “frugal innovation” has led to
stunning results in fields such as mobile devices
and medical equipment.
Were Drucker still alive, I assume he would have
added his voice as well, for his foundational ideas
and ideals are in line with most of the specific
solutions posited in the piece: offering more
autonomy to knowledge workers, seeing leaders
play more of an enabling role, fostering trust
throughout the organisation, achieving clarity of
focus and direction of the organisation, providing
a diversity of views, unleashing the human
imagination and cultivating systems-thinking skills.
With the implementation of these principles,
organisations can finally evolve from complicated
entities, marked by clearly defined functional
borderlines, towards adaptive complex learning
systems.
But achieving such a “managerial moon shot”
will not be easy; as far as we’ve come, it still
requires a huge earthly effort from all of us.
Some of these products, having proven themselves,
are now being shipped to more developed markets.
This “reverse innovation” may well show us the way
to a better future.
The awareness of the complexity challenge among
managers has increased significantly during the
past 10 years. Tools and techniques to better
understand and help navigate complex systems
have reached a state of operational readiness.
Good thinking about ways to navigate or even
embrace complexity is now available.
ABOUT THE AUTHOR
Richard Straub is EFMD Director for Corporate Services and EU Affairs
and President of the Peter Drucker Society Europe