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Preference
patterns in futuring efforts
Foresight
tendency among futurists and forecast tendency among their clients
By Vahid V. Motlagh
Abstract
The intent of this article is to shed light on some preference
patterns of individuals who are involved in futuring efforts. In
particular, the preference patterns of clients to collect helpful
information for enhancing their knowledge of success factors in such
efforts are addressed. These factors include:
Nature of future problems and opportunities
Probability of encountering future problems and opportunities
Inherent uncertainties about when and where future problems and
opportunities may unfold
The study indicates that there is a mismatch between what clients
expect to know when they need future-relevant assistance and what
futurist experts can provide for them. In fact, clients
appear to prefer resolving the inherent uncertainties of the future
rather than obtaining worthwhile information about the nature of
future hopes and fears. In other words, clients tend to embrace
forecast while futurists usually advocate and encourage foresight.

THIS
century can best characterized as an era of
uncertainties and overwhelming speed of change. We usually tend to
reduce such uncertainties, to identify the nature and types of change,
and to get control over the probable courses of change. Today such
knowledge is very much valuable. People interested in futures
exploration and identifying promising as well as challenging trends
can enhance the quality of future-related decisions. However, any
final judgment about the quality of individuals' performance when
they are dealing with future-related decisions is necessarily
plausible in retrospect. Indeed, when uncertainties that affect the
quality of decisions become certainties we can reasonably reach a
stable conclusion about the degree of achievement. In technical
terms, minimizing the regret could be a reliable measure of
performance. If economic agents, and broadly speaking, decision
makers have a miraculous access to worthwhile information about the
future conditions they become necessarily able to reduce their
regret to zero. However, there are other factors which determine if
the regret could become actually zero. These factors include assets,
skills, abilities and competencies, either tangible or intangible,
which could be helpful to fully use such information in practice.
Thus, achievement in futuring efforts depends upon two important
areas. One is to acquire helpful information that enhances knowledge
of surrounding environment which in turn helps to resolve different
uncertainties of future conditions. The other is to gain the right
abilities to fully use such knowledge at the right time. Although we
focus on the area of acquiring information, it is noteworthy that
helpful knowledge without appropriate abilities cannot contribute to
achievement. For instance, an individual who through regularly
studying technology trends figures out that biotechnology is a
promising field, yet has not the right abilities for this field
cannot possibly benefit from such knowledge in the future. To the
contrary, a software engineer who is virtually unaware of the
potential changes in computing industry will probably have poor
performance relative to a colleague who vigilantly monitor and
follow the industry trends. Hence, helpful information and
appropriate abilities together increase preparedness. Any individual
who is more prepared to face future conditions can benefit from such
conditions more than others. Therefore, more preparedness implies
less regret.
It is a difficult and expensive task to collect information about
existing realities, let alone about emerging realities. Moreover, to
collect perfect information and thereby to provide perfect knowledge
about the future conditions is, by definition, impossible.
Nonetheless, the most important challenge of individuals who are
involved in futuring efforts is to collect helpful information about
the emerging realities and thus produce future-related knowledge as
much as possible. Naturally an important question arises: Can we
reliably understand and handle such realities in order to grasp
their outline in advance even though their details are unknown
today? The first step to answer it might be to categorize these
emerging realities into problems and opportunities.
Between problems and opportunities there are no considerable
differences in terms of the necessity to carefully think about them
and to take the required measures to deal with them. They are
distinguishable, however, in respect to whether they induce positive
or negative effects on the mind. Problems discomfort while
opportunities delight people. One reflects fears and threats and the
other reflects wishes and hopes. People's attitude toward problems
and opportunities may be utterly different. For example, some
individuals prefer to avoid any kind of problems while others may
prefer to face them in order to enjoy conquering them. Also, people
based on their life experiences may always expect the next problem
or the next opportunity. Often it is emphasized that opportunities,
unlike problems, are not imposed on individual and they are always
put on the agenda at will. Attitudes and mental processes influence
the very recognition of problems and opportunities. It is quite
possible that a specific subject could be a problem in the eye of
individual A and an opportunity in the eye of individual B. For
instance, sweeping changes in the top management of an organization
is a potential problem for a conservative, practiced employee who is
willing to preserve the status quo, while it is a potential
opportunity for a newcomer who welcomes any radical change in the
organization. In addition, optimism or pessimism in various forms,
say, to assume that fortune favors only others or a strong belief in
fatalism can keep even big opportunities unrecognized. All in all
these biases point to the relativity in the nature of problems and
opportunities. Thus, to examine preference patterns of individuals
who do not produce future-related works it is better to use some
metaphors which could induce concern and fear effects (hence
problems) or hopes and happiness effects (hence opportunities) in
their mind. Falling into a big hole and finding a treasure are
examples of these metaphors. Although they do not represent real
world problems and opportunities, they cause a response that is
similar to what occurs in real world situations. Metaphors help to
neutralize attitude biasing among different people such that we can
assure that the categorization is not relative and enjoys sufficient
stability.
People have to challenge several kinds of uncertainties when they
try to grasp emerging problems and opportunities. These
uncertainties include, though are not limited to, the following.
X) What are the nature and characteristics of future problems and
opportunities?
Y) What are the likelihoods of appearing future problems and
opportunities?
Z) When and where future problems and opportunities may unfold?
The above questions indicate three main fields for information
collection in futuring efforts. Without doubt, as mentioned before,
an objective of futuring efforts is to reduce unknowns and
uncertainties associated with these fields through applying
different methods and thereby to provide a piece of knowledge, even
if imperfect, about the future conditions. Sometimes providing
future-related knowledge is not much difficult due to the kind of
system that is being addressed. For example, a scientist can easily
forecast that the solar system will undergo profound changes nearly
five billion years later due to the exhaustion of hydrogen fuel in
the Sun such that it will definitely be impossible then to sustain
life on the planet Earth. We can make this prediction because the
solar system is a natural reality that obeys deterministic physical
laws. However, any future-related statement about social systems
that concerns, for example, the prospect of regional and
international peace and war, especially in terms of when and where
future problems and opportunities may unfold is prone to
considerable errors. Social realities always follow stochastic laws
and therefore any prediction about them is usually discouraged. In
other words, resolving those uncertainties associated with
when-where issues which we call them "inherent uncertainties" is
extremely unrealistic in social systems.
Individuals who are involved in forecasting efforts usually try to
predict future events with the help of information and often zero in
on estimating probabilities and resolving inherent uncertainties.
Examples include weather forecasts which aim to estimate the odds
that tomorrow or next week there will be, say, snow showers in Los
Angeles. In energy sector, too, people may try to forecast oil price
fluctuations within next quarter, say, in the Middle East. Less
inherent uncertainties and better specified probabilities in a
future-related statement essentially imply a forecast. Often in
forecast statements the nature, characteristics, and consequences of
future problems and opportunities are taken for granted and there is
little, if any, discussion about such details. Conversely, when
future-related discussion is limited to the nature, characteristics
and consequences of emerging realities and there is little, if any,
attempt to estimate probabilities and to resolve when-where
uncertainties, then a future-related statement essentially implies a
foresight.
It is needless to say that a critical component of any careful
long-term planning is the identification of future needs,
requirements, weaknesses, strengths, and superiorities. To do this,
individuals who are involved in long-term planning tend to
reasonably surmise about the number, nature, characteristics and
consequences of emerging problems and opportunities, thus they
encourage and advocate foresight. A common feature of forecast and
foresight statements is that they both articulate predictions. The
former predicts mainly when-where issues while the latter predicts
mainly nature-related issues.
Eliciting individuals' preference patterns for information
collection provides important insights about whether they favor
forecast, foresight, or both. Let us first clarify what we mean by
preference patterns.
If two alternatives, say, A and B, are compared we have three
different preference patterns as described below:
1-Alternative
A is preferred to Alternative B ( A>B )
2- Alternative
B is preferred to Alternative A ( B>A )
3- Alternatives
A and B are indifferent ( A=B )
Thus, considering three different alternatives, namely
the Nature (X),
Likelihood (Y), and When-Where (Z), there are as many as 16
preference patterns for information collection that are listed
below:
1- X>Y>Z
2- X>Z>Y
3- Y>X>Z
4- Y>Z>X
5- Z>X>Y
6- Z>Y>X
7- X=Y>Z
8- X=Z>Y
9- Y=X>Z
10-
Y=Z>X
11-
Z=X>Y
12- Z=Y>X
13- X>Y=Z
14- Y>X=Z
15- Z>X=Y
16- X=Y=Z
The chance that each of these preference patterns, say, X>Y>Z,
occurs accidentally is one sixteenth or 6 per cent. Different
preference patterns for information collection can be related to
different tendencies in futuring efforts. For instance, if an
individual invariably prefers to collect information about the
nature of future problems and opportunities, that is to comply with
X>Y>Z or X>Z>Y or X>Y=Z preference patterns, then we say that a
foresight tendency is observed. Similarly if an individual
invariably prefers to collect information about when-where issues,
that is to comply with Z>X>Y or Z>Y>X or Z>X=Y preference patterns,
then we say that a forecast tendency is observed. All the remaining
preference patterns indicate both forecast and foresight tendencies
to varying degrees. The chance that the preference patterns
associated with foresight or forecast tendencies occur accidentally
is three sixteenth or 19%. Consequently if the per cent of
observations of foresight or forecast tendencies is exceedingly more
than 19% in a sample of individuals then it is reasonably claimed
that the sample has foresight or forecast bias.
In this study we examine preference
patterns of two groups of individuals. First a group of clients and
second a group of futurist experts. Individuals such as top
managers, politicians and investors whose main goal is to acquire
and collect information for effective decision-making and further
achievement comprise the group of clients. The group of futurist
experts is comprised of analysts and consultants whose main aim is
to collect and provide information for assisting members of the
first group. Often clients of futuring efforts have the direct
responsibility of decision-making while futurist experts usually
play the role of advisors and indirectly contribute to effective
decision-making.
As mentioned before by using metaphors we can elicit preference
patterns of clients. In this study we develope a simple and
understandable metaphorical space that is called "contest in the
foggy woods". Major components of this space are listed below.
A. Minor
and major problems
B. Minor
and major opportunities
C. A
strategic objective
D. One
competitor
E. An
environment abundant in inherent uncertainties
In this metaphorical space the inherent uncertainties are accounted
for by the foggy weather. In fact, because of the foggy weather no
one knows exactly when and where future problems and opportunities
may unfold. Contest in the foggy woods and the questionnaire
associated with preference patterns are explained below.
Contest in the foggy woods:
Suppose that you and a stranger, who is your rival, are standing at
the edge of a fairly big jungle. Both of you know that after
crossing this jungle you arrive at a deluxe mansion. The house will
belong to whoever arrives sooner. Both of you are on foot and it
takes from morning to evening to cross the jungle. There is a foggy
climate in this jungle such that you cannot see far away as well as
your surrounding. Meanwhile both of you are told that probably you
will run into four different things in this jungle.
-
A box full of money
-
A wolf
-
A horse
-
A hole
Questions:
1- If
you were offered to choose between the following two cases which one
would you prefer ( To answer write A, B, or C that means you are
indifferent)
A. More
information about the characteristics, attributes, and state of the
wolf, the hole, the horse, and the box.
B. More
information about the likelihoods that you would run into the wolf,
the hole, the horse and the box on your way in the jungle.
2-
If you were offered to choose between the following two cases
which one would you prefer (To answer write A, B, or C that means
you are indifferent)
A. Removing
the foggy weather such that everywhere is clear and observable.
B. More
information about the likelihoods that you would run into the wolf,
the hole, the horse and the box on your way in the jungle.
3-
If you were offered
to choose between the following two cases which one would you prefer
(To answer write A, B, or C that means you are indifferent)
A. More
information about the characteristics, attributes, and state of the
wolf, the hole, the horse, and the box.
B. Removing
the foggy weather such that everywhere is clear and observable.
On the basis of answers to the above questions a number of
preference patterns can be inferred. For example, if an individual
answers are A, B, and A then we have X>Y, Y>Z and X>Z respectively,
hence the preference pattern of the individual is X>Y>Z, which fit
foresight tendency as described above.
Answers of a simple random sample of clients indicate that more than
70% of individuals favor those preference patterns which fit
forecast tendency as defined above. It seems that for the group of
clients the least amount of information about the nature of future
problems and opportunities is sufficient and they deem more priority
for resolving the inherent uncertainties of the environment.
Actually removing these kinds of uncertainties help to reduce their
concerns and satisfy their needs. A number of questions cover the
desire for collecting more information about the characteristics and
nature of emerging problems and opportunities in the foggy woods.
Some of them are listed below.
-
Is the hole small or big? Is it hidden and covered? Can you get
out of it alone?
-
Is the wolf hungry or full? Is it wounded or healthy? Is it free
or has fallen already into the hole?
-
Is the box hidden or not? Is it heavy or light? Is it locked or
open? How much money is there in it?
-
Is the horse naked or ready to ride? Is it a wild horse or not?
Is it sick or healthy? Is it free or has been tied to a tree?
We can add several other questions to the above list. Obviously any
further information associated with such questions which uncover
implicit assumptions will enhance knowledge of the individual about
the nature of likely problems and opportunities in this foggy woods,
however, this kind of information is not necessarily helpful for
estimating the likelihood of encountering, say, the wolf, or to know
exactly when and where it may appear. Nevertheless, it seems that
better preparedness to win the contest depends more on recognizing
and understanding the nature of future problems and opportunities
rather than on knowing the probability estimates and the when-where
issues. On the other hand, in real world situations removing the
inherent uncertainties, that is to remove the fog, if not
impossible, is very difficult. Indeed, in real world futuring
efforts to wait for a "clear climate" and to expect to know the
exact time and place of future problems and opportunities is
illogical.
Preference patterns of futurist experts for information collection
can be elicited either by the foggy woods metaphor or by referring
to their published works. Since there are difficulties
in reaching a
representative sample of this group and considering that there are
already many references in futures studies, which are provided in
various forms from reports to lectures, in the next step we examine
the content of such published futuring efforts.
Here we can use content analysis to measure the frequency of
forecast and foresight statements in future-related materials. We,
in particular, examine those materials that are most suitable for
use by the clients such as "Outlook"
which is an annual report published by "World
Future Society". It is
presumed that any unit of text or information item in the Outlook is
already a foresight statement to some extent because it must cover
at least issues germane to the nature and specifications of future
problems and opportunities. Although it is desirable to have an
objective scale, like preference patterns in the foggy woods
metaphor, to determine if a future-related unit of text favors
forecast or foresight or both, we use a number of guidelines to
separate forecast and foresight statements. The following questions
reflect some of these guidelines.
1-
Does this information item discuss, explicitly or
implicitly, the future of specific issues in a certain country, an
organization, a company, a sector of industry, a field of science
and technology, etc?
2- Does
this information item point to the timing of future events in terms
of an exact date, periods of time such as next quarter, next year,
next decade, etc?
Yes answers to both questions indicate a forecast tendency and any
further details in terms of characteristics, consequences, and
specification of future-related issues implies a foresight tendency.
Through applying such guidelines we can conclude that more that 70
per cent of future-related materials in the Outlook 2005 favor the
foresight tendency. Consequently we can
argue that among futurist experts a high priority is put on debating
the nature of future hopes, fears, wishes, challenges, and threats,
rather than on when and where they are supposed to appear. In fact,
futurist experts use their resources and faculties to collect and
provide information, knowledge and insight about the emerging
realities for various groups of audience. Futurist consultants often
desire to equip their clients with the right tools and abilities for
avoiding or coping with future problems and also for benefiting from
future opportunities. In doing so, they tend to reasonably
conjecture about the range, nature, and consequences of emerging
problems and opportunities.
In short, this study indicates that there is a
mismatch or gap between
clients' and futurists' attitude toward futuring efforts. Filling
this gap may strengthen the close links between knowledge and
practice of futuring. Futurists are even obliged to advocate and
encourage foresight since there are a number of limitations for
acquiring perfect information about the future conditions. They
should not, nonetheless, overlook the natural tendency of clients,
who sometimes have direct responsibility for important decisions,
towards forecasting. Efforts to correct the culture of futuring in
the light of requirements and realities that negate forecasting,
especially in long-term periods, may be especially fruitful. When
clients are convinced that knowledge and insights gained from
foresight are as much valuable and helpful as forecast for better
preparedness and less regret, we can begin to correct their attitude
so that it will well adapt to that of futurist experts.
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