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1
outh Africa and the Butterfly
Effect – Some Potential
Scenarios for the Tourism
Industry
by Ian van Vuuren
ntroduction – The Wings are
Fluttering Louder and Louder
In 1961 Edward Lorenz, an MIT
meteorologist, developed a model
(illustrations of which visually resembled a
butterfly) which eventually came to be
known as the butterfly effect1
. Lorenz
postulated that an apparently insignificant
occurrence, such as a butterfly flapping its
wings in the Amazon, could hypothetically
set in motion a chain of events that could
cause tornadoes to occur in Texas a few days
later.
1
http://www.technologyreview.com/article/
422809/when-the-butterfly-effect-took-flight/
Figure 1: The Butterfly Effect
So, as a metaphor, the butterfly effect
signifies a series of seemingly small and
unrelated events that collectively have an
eventual massive impact, whether in causing
storms or impacting the economy, to name
only two examples.
While scientifically it may be impossible to
actually predict whether a butterfly in the
Amazon will ultimately cause a tornado to
touch down in Texas, the social impact of
the butterfly-effect theory is without doubt
in today’s super-connected and data-driven
world. As an example - the Arab Spring was
basically started by an unknown Tunisian
street vendor, Mohamed Bouazizi, who set
himself on fire as protest against police
brutality. His death was able to accomplish
what large military forces and decades of
western influence had been unable to do:
S
I
4
estimates about what could happen, not
forecasts of what will happen. In our
example we take a time frame of only six
months to one year into the future. Most
futurists would argue that this is too short a
time period.
However, in the South African case one could
raise a very cogent argument that
developments over the next twelve months
are likely to set the stage for the longer term
future of the country, present developments
considered3
. The scenario development
process is depicted in Figure 2.
Figure 2: The Scenario Development Process
3
Based on inter alia the looming local elections,
present court cases and draft legislation etc.
A scenario framing exercise always starts by
listing the Relevant Developments – this was
done previously, and as indicated there, that
list is by no means exhaustive.
The next step is to formulate the Key
Question - what is it that we want to focus
on/provide answers to? It must be a question
that has no immediate apparent answer. For
our purposes we framed it as follows:
What are the Twelve Month Strategic
Scenarios for South Africa (and Associated
Risk Implications for the Tourism
Industry)?
Next one identifies the Key Drivers. These
are the main factors that influence the
environment. The ones that seem to stand
out are:
 Lack of jointness4
in decision-making
and action. The Public-Private-
Partnership (PPP) in South Africa, it
could be argued, consists of just so
many words. There exist PPP forums to
address inter alia tourism crime in
many areas, but by and large these
have been reduced to talk-shops.
4
Jointness is not simply cooperation. It
encompasses a fusion of resources and minds
around the pursuit of a common goal. It takes
the best of whatever capability each organisation
can offer for the achievement of specific
operational goals. It involves inter alia planning
together, identifying objectives together, and
employing and tasking mission-specific resources.
It is an approach to achieve synergy in a resource
constrained environment - Pendall, D.
“Scenarios are a combination of
estimates about what could happen,
not forecasts of what will happen”
This document is a partial preview. Full document download can be found on Flevy:
http://flevy.com/browse/document/south-africa-and-the-butterfly-effect-3634
7
xplaining the Axes and Related
Decision Implications
X-axis - Degree of Integration: According to
Söderbaum and Hettne8
, regionalisation
refers to a complex process of forming
regions “… that leads to patterns of
cooperation, integration, complementarity
and convergence within a particular cross-
national geographical space.” A region can
be more or less coherent, leading to the
notion of “region-ness”: a high degree of
region-ness and regional identity implies the
capacity to act, or “actorness”, while a
lower degree of region-ness implies a greater
impact on the region from the outside.
One could argue that the same applies to a
country which has so many diverse racial,
geographic and demographic characteristics
as does South Africa. In this case the degree
of integration, or then “actorness”, has four
main ingredients:
 A shared commitment to a set of
overarching values;
 The domestic legitimisation of deci-
sion-making processes and priorities
relating to policy;
8
Van Nieuwkerk, Anthoni. Towards Peace and
Security in Southern Africa. A critical analysis of
the revised Strategic Indicative Plan for the Organ
on Politics, Defence and Security Co-operation
(SIPO) of the Southern African Development
Community. Friedrich Ebert Stieftung. Africa
Peace and Security Series no 6. January 2012.
 The ability to identify priorities, and
formulate consistent and coherent
policies; and
 The availability of and capacity
to utilise policy instruments – diplo-
macy/negotiation, economic tools, and
security means.
A country like South Africa is not a natural
phenomenon – it is a social construct, and
therefore politically contestable, as is being
illustrated by present events. A low degree
of integration therefore means that the four
ingredients as indicated above are largely
missing, whereas a medium degree of
integration means that they are largely
present – note that there is no “high degree
of integration” specified. It is this author’s
opinion that such an option is not
realistically feasible in the time span under
consideration.
Y-axis - Levels of Service Delivery: This refers
to the extent to which all citizens have
access to running water, power, basic local
government services of all kinds, and
whether the infrastructure is maintained at
least to present standards, if not upgraded.
A low level indicates serious deficiencies in
this regard with regular outages (sometimes
for days if not weeks) and uncertainty about
future delivery; poor response to requests for
assistance; long lead times to respond, if at
all. A medium level indicates that the norm
is more or less on par with the rest of sub-
Saharan Africa, with outages only from time
E
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http://flevy.com/browse/document/south-africa-and-the-butterfly-effect-3634
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South Africa and the Butterfly Effect

  • 1. 1 outh Africa and the Butterfly Effect – Some Potential Scenarios for the Tourism Industry by Ian van Vuuren ntroduction – The Wings are Fluttering Louder and Louder In 1961 Edward Lorenz, an MIT meteorologist, developed a model (illustrations of which visually resembled a butterfly) which eventually came to be known as the butterfly effect1 . Lorenz postulated that an apparently insignificant occurrence, such as a butterfly flapping its wings in the Amazon, could hypothetically set in motion a chain of events that could cause tornadoes to occur in Texas a few days later. 1 http://www.technologyreview.com/article/ 422809/when-the-butterfly-effect-took-flight/ Figure 1: The Butterfly Effect So, as a metaphor, the butterfly effect signifies a series of seemingly small and unrelated events that collectively have an eventual massive impact, whether in causing storms or impacting the economy, to name only two examples. While scientifically it may be impossible to actually predict whether a butterfly in the Amazon will ultimately cause a tornado to touch down in Texas, the social impact of the butterfly-effect theory is without doubt in today’s super-connected and data-driven world. As an example - the Arab Spring was basically started by an unknown Tunisian street vendor, Mohamed Bouazizi, who set himself on fire as protest against police brutality. His death was able to accomplish what large military forces and decades of western influence had been unable to do: S I
  • 2. 4 estimates about what could happen, not forecasts of what will happen. In our example we take a time frame of only six months to one year into the future. Most futurists would argue that this is too short a time period. However, in the South African case one could raise a very cogent argument that developments over the next twelve months are likely to set the stage for the longer term future of the country, present developments considered3 . The scenario development process is depicted in Figure 2. Figure 2: The Scenario Development Process 3 Based on inter alia the looming local elections, present court cases and draft legislation etc. A scenario framing exercise always starts by listing the Relevant Developments – this was done previously, and as indicated there, that list is by no means exhaustive. The next step is to formulate the Key Question - what is it that we want to focus on/provide answers to? It must be a question that has no immediate apparent answer. For our purposes we framed it as follows: What are the Twelve Month Strategic Scenarios for South Africa (and Associated Risk Implications for the Tourism Industry)? Next one identifies the Key Drivers. These are the main factors that influence the environment. The ones that seem to stand out are:  Lack of jointness4 in decision-making and action. The Public-Private- Partnership (PPP) in South Africa, it could be argued, consists of just so many words. There exist PPP forums to address inter alia tourism crime in many areas, but by and large these have been reduced to talk-shops. 4 Jointness is not simply cooperation. It encompasses a fusion of resources and minds around the pursuit of a common goal. It takes the best of whatever capability each organisation can offer for the achievement of specific operational goals. It involves inter alia planning together, identifying objectives together, and employing and tasking mission-specific resources. It is an approach to achieve synergy in a resource constrained environment - Pendall, D. “Scenarios are a combination of estimates about what could happen, not forecasts of what will happen” This document is a partial preview. Full document download can be found on Flevy: http://flevy.com/browse/document/south-africa-and-the-butterfly-effect-3634
  • 3. 7 xplaining the Axes and Related Decision Implications X-axis - Degree of Integration: According to Söderbaum and Hettne8 , regionalisation refers to a complex process of forming regions “… that leads to patterns of cooperation, integration, complementarity and convergence within a particular cross- national geographical space.” A region can be more or less coherent, leading to the notion of “region-ness”: a high degree of region-ness and regional identity implies the capacity to act, or “actorness”, while a lower degree of region-ness implies a greater impact on the region from the outside. One could argue that the same applies to a country which has so many diverse racial, geographic and demographic characteristics as does South Africa. In this case the degree of integration, or then “actorness”, has four main ingredients:  A shared commitment to a set of overarching values;  The domestic legitimisation of deci- sion-making processes and priorities relating to policy; 8 Van Nieuwkerk, Anthoni. Towards Peace and Security in Southern Africa. A critical analysis of the revised Strategic Indicative Plan for the Organ on Politics, Defence and Security Co-operation (SIPO) of the Southern African Development Community. Friedrich Ebert Stieftung. Africa Peace and Security Series no 6. January 2012.  The ability to identify priorities, and formulate consistent and coherent policies; and  The availability of and capacity to utilise policy instruments – diplo- macy/negotiation, economic tools, and security means. A country like South Africa is not a natural phenomenon – it is a social construct, and therefore politically contestable, as is being illustrated by present events. A low degree of integration therefore means that the four ingredients as indicated above are largely missing, whereas a medium degree of integration means that they are largely present – note that there is no “high degree of integration” specified. It is this author’s opinion that such an option is not realistically feasible in the time span under consideration. Y-axis - Levels of Service Delivery: This refers to the extent to which all citizens have access to running water, power, basic local government services of all kinds, and whether the infrastructure is maintained at least to present standards, if not upgraded. A low level indicates serious deficiencies in this regard with regular outages (sometimes for days if not weeks) and uncertainty about future delivery; poor response to requests for assistance; long lead times to respond, if at all. A medium level indicates that the norm is more or less on par with the rest of sub- Saharan Africa, with outages only from time E This document is a partial preview. Full document download can be found on Flevy: http://flevy.com/browse/document/south-africa-and-the-butterfly-effect-3634
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