Origin Ontology of Future Scenario's Idea1
Ahmad Mahdeyan2
Abstract:
Environmental changes coupled with the impact on globalization leading to
increasing complexity in many developing strategies, especially on the foresight and
futures studies. These trends pose a fundamental question, what is the chalenges of
future’s complexity? It seems before understanding the origin of Future Scenario's
idea and laws governing the Future Time, we've gone into the application of
Scenarios to build better stories about future.
In this paper we deeply investigated following issues in order to demonstrate the
effects of the origin of idea's ontology on Future Scenarios;
1. Idea ontology,
2. The origin of creative thinking,
3. Idea nurturing in organizations,
4. Shaping the future time,
5. Scenario planning,
6. Ideas social network (global brain).
This paper is a fundamental research type that makes theory for an applied science.
In fact, we seek to bridge an ontology base with an applied knowledge. According to
qualitative approach this study because of its data references to valid resources is
valid and due to expert's continuous supervisions is reliable.
Conceptual Model that have been emerged from this investigation, shows how we
can improve scenario planning ability and what actually should be done to have
good scenarios.
Keywords:
Future Scenarios, Idea's Origin, Mind's Cognitive map, Future Time Structure.
1
Although an abstract of this study previously has been accepted for presentation by
SCENARIO 2015 Conference (Improving Scenario Methodology: Theory and
Practice, 14–15 December 2015, Warwick Business School, Coventry, UK). But due
to not attending, after some edition also presented at India (International Conference
on Multilateral Cooperation: Emerging Global Scenario, 22-24 February 2016).
2
Ph.D. of Futures Studies (Strategic Foresight and Scenarios),
mahdeyan@iraneservice.com
1
1. Introduction:
Environmental changes coupled with the impact on globalization
leading to increasing complexity in many developing strategic plans,
especially on the new generation of an interdisciplinary thinking
called foresight and futures studies. These trends pose a fundamental
question, what is the problem of this complexity? It seems before
understanding the origin of the creative’s ideas of future scenarios and
laws governing the future time, we've gone into the application of
Scenarios to build better stories for future.
Life is not going to be easy in the 21st century for people who insist
on black-and-white descriptions of reality (Chermack T. J., 2011).
Various future oriented practices and techniques have been developed
to support strategic planning. Scenario planning, in particular, has
been started using more than 40 years ago and rapidly emerged as one
of the most popular and effective foresight technique (Vecchiato &
Favato, 2015) to more clearly appreciate a world clouded by
information overload, rapid change, irreconcilable certitudes and/or
persistent uncertainty (Oxford Scenarios Programme, 2015).
Popper (2008) by hundreds of foresight projects shows that the three
qualitative methods include; Literature Review, Expert panel and
Scenarios are dominant in the methods of Futures Studies. These
represents mix of Normative and Exploratory approaches in this field
of studies. Futures Studies qualitative approach, largely based on
expert’s intuition through Delphi or the Scenario writing methods
(Mahdeyan, 2017). Human's epistemological basis shows natural
scenario building ability to tell stories about human life in the future
(Rhisiart, Scenario Building, 2006) and a cognitive link to time
oriented structure of brain for understanding. Our decisions about the
future depend on how we think the world works. Scenarios are based
on intuition, but crafted as analytical structures. We use Scenario
planning artful via learning process to overcome barriers of creative
thinking (Chermack T. J., 2011) by changing mental model for
decision making. Future Scenarios are just different ideas about
future. We use scenarios to guide us in exploring the future, widening
perspectives (Bentham, 2008), confronting assumptions, reshaping
mental maps, recognizing degrees of uncertainty for avoiding
Uncertainty and Ambiguity, addressing dilemmas and conflicts, etc.
1
The concept of an innovation hub as a powerful place for the creation
of innovations through the interaction of science, education and the
economy in combination with matching living and cultural life
conditions forms the starting point for a comprehensive scenario study
(Mietzner, 2015). Scenario generation is typically an interdisciplinary,
multidisciplinary, or even transdisciplinary activity, drawing on
diverse bodies of knowledge. This is certainly true of scenarios, which
involve integrating diverse forms of information relating to complex
systems comprising multiple actors (McDowall & Hughes, 2015).
Hence how we can improve the ability of Scenario planning in order
to make enough potential in facing alternative future? For this regard,
we deeply investigated following issues in order to demonstrate the
fundamental effects of the origin of idea's ontology on Future
Scenarios;
1. Idea ontology,
2. The origin of creative thinking,
3. Idea nurturing in organizations,
4. Shaping the future time,
5. Scenario planning,
6. Ideas social network (global brain).
2. Methodology
This paper is a fundamental research type that makes theory for an
applied science. Its analysis approach has been based on intuitionrational philosophy to explore new area of an interdisciplinary science
by descriptive manner. According to qualitative approach this study
because of its data references to valid resources will be valid and due
to experts continuous supervisions will be reliable.
According to Nonaka KM spiral model (Keenan, 2007, p. 20) (Eerola
& Jørgensen, 2002, p. 12) this research is going to extract tacit
knowledge from literatures and expert's intuition then combine as
explicit knowledge in order to socialize it to benefit all players
especially policy makers and business mans (Mahdeyan, 2012).
This research aims to study the impact of Idea philosophical
foundation on Future Scenarios, in other words, we seek to bridge an
ontology base with an applied knowledge. The paper also benefits by
complementing underrepresented fields of scientific curriculum.
3. literature Discussion
2.1. Idea Ontology
Ideas are conceptions in the mind, they are a product of mental
activity expressing “A thought or suggestion as to a possible course of
action” (Concise Oxford English Dictionary, 2011, p. 707). Ideas
generally may serve to improve existing structures, prevent
anticipated problems, or take advantage of specific opportunities
(Deichmann, 2012, p. 14).
In An Essay Concerning Human Understanding, John Locke (16321704) argues that all ideas are derived from sense experience. The
mind is a ‘tabula rasa’, empty at birth. He begins his argument by
attacking the opposite view, which some ideas are not derived from
sense experience, but are ‘innate’. He defines an idea as “whatsoever
is the object of the understanding when a man thinks”. This is
supposed to include all types of “thinking”, including perception and
feeling as well as contemplation. So our ideas include thoughts and
sensations, and also “internal” ideas such as feelings. Hume (17111776) thinks Locke’s usage is too broad, so he adopts different
terminology (Millican, 2011):
An impression is a sensation (e.g. from seeing a blue sky or smelling a flower) or a
feeling (e.g. being angry, or feeling pain);
An idea is a thought (e.g. about the sky, or about a pain, or about the existence of
God);
A perception is either an impression or an idea. ( So Hume uses the word perception
to cover everything that Locke calls an idea.)
Hume’s version of Locke’s empiricism is expressed in what is
commonly known as his Copy Principle: “that all our simple ideas in
their first appearance are derived from simple impressions, which are
correspondent to them, and which they exactly represent.” (Jacovides,
2003). Do all concepts derive from experience? Birds sing the song of
their species after hearing just a small part of it. This refers to
something existing independently of experience, in objective space
and time. So cognitive capacities have genetic base, but develop in
response to experience (e.g. language). If experience must ‘trigger’ the
idea, then are innate ideas just the capacity to acquire the idea?
CAUSALITY is the concept that events happen in a necessary order.
Without this concept, I cannot distinguish between the order of my
perceptions (my perceptions changing) and the order of events (objects
changing). But this distinction is needed to experience objects at all. So
Causality is necessary for experience (Lacewing, 2015).
One of the major themes in Cognitive Science is the way in which
analogy serves as a psychological mechanism for learning that
underlies causal learning, and deduction of knowledge (Holyoak,
2015). How does our visually perceived world differ from the physical
world? We selectively amplify certain details in the world and ignore
others. We organize these important perceptual details into categories
and encode them into memory so that we can recognize objects
effortlessly including face recognition. (Liu, 2015). So the origin of
mental representations can divide into two parts (Cheng, 2015);
I.
II.
The first is causal induction. How do people come to know that one thing
causes another?
The second issue is category formation. Objects in the world can be
partitioned in an indefinitely large number of ways (e.g., objects that move
in the wind, objects that have legs, objects to be avoided, and so on).
2.2. The Origin of Creative Thinking
The life cycle can begin with the concept of a new product, a new
process, a new service. It can begin with a request for proposal (RFP)
to design and also write a scientific paper. To be successfully carried
out, however, they all require creativity. But if the project is to
construct an office building, and if we have already constructed a
dozen or so similar buildings, the need for creativity is not obvious.
But those with experience in construction know that buildings are like
fingerprints no two are quite alike. Each one presents unique
problems to be solved and requires creative solutions. Therefore all
projects, call for creativity, but some call for more than others
(Meredith & Mantel, 1995). Discussions about ideas are often made
difficult because people are unclear about the exact meanings of some
key terms. In particular there is confusion about the difference
between creativity, innovation and invention. Let us start with some
definitions (Sloane, 2010)
I.
II.
III.
Creativity is the capability or act of conceiving something original or
unusual.
Innovation is the implementation of something new.
Invention is the creation of something that has never been made before and is
recognized as the product of some unique insight.
Humans are innovative and good at creative thinking due to the ability
of our brains to blend two or more ideas and create a new idea.
Blending is the pivotal feature of the human mind and innovation will
be a necessary product of the blending mind (Turner, 2015). So
creativity can be better understood if it is studied in the context of
cognitive science. (Smith, Ward, & Finke, 1995). The study of human
intelligence was once dominated by symbolic approaches, but over the
last 30 years an alternative approach has arisen. Symbols and
processes that operate on them are often seen today as approximate
characterizations of the emergent consequences of sub or nonsymbolic processes, and a wide range of constructs in cognitive
science can be understood as emergent (McClelland, 2010). In 1908
mathematician Henri Poincare described the creative process as a
collision of ideas rising into consciousness. Soon after, some
psychologist, behaviorist and others began studying how ideas and
behaviors combined, and in the 1980s, in laboratory research with
both animals and people, it showed that the combinatorial process was
orderly and predictable and that it could be modeled on a computer
(Turner, 2015). So by cognitive science we could characterize the
mind as the interdisciplinary study of an information processor.
Theories about how the brain operates portray it as basically divided
into two hemispheres that control different functions (Meredith &
Mantel, 1995)
I. The left hemisphere controls analytic thinking such as verbal, numerical, logical,
and judgmental thought. This side is said to be "anchored in time" and seeks
control, optimization, and planning. Factual memory is also based here.
II. The right side is the creative, imaginative side where intuition, imagination,
pictorial thinking, and synthesis occur. Symbols and abstract representation are
lodged here. This half is said to be "anchored in space" rather than in time. This
side is the part of the brain we are trying to stimulate because it appears to be the
source of creativity.
Steven (2013) discusses how ideas are formed. He argues against
“lone scientists”, and eureka moments where a single person sitting
along is the whole source of an idea. Instead he favors the coffee
houses and team meeting environments where a number of different
people can discuss and improve each other’s ideas. In this way,
innovation is more organic, happening over a long time period. He
goes into detail about the discovery of GPS from a few curious
researchers listening to sputnik, then one of them using Doppler to
work out speed, then someone using the signal to work out its
location, then their boss asking them to ‘reverse’ their calculations and
develop a system to find ground locations from a satellite.
There are several creative problem-solving techniques. All of these
methods have one common element: They attempt to utilize the
creative potential. They increase the output of ideas by individuals and
groups. Skill in creative problem solving can be acquired and
developed. It requires training and the application of effort, but it
does not require special mental endowments or "gifts of nature."
(Smith, Ward, & Finke, 1995). However what can I do to increase my
creativity? To increase the creativity and innovativeness of companies
not only ideas are to be produced, they need to be exploited. There are
a broad spectrum of evaluation methods and techniques, applicable in
very broad areas of a company life such as Group Creativity
Techniques (Antoni, Canal, Cardama, & Coderch, 2015). There are
also many idea evaluation software programs. All of them are of
commercial nature and idea evaluation phase is usually only a (minor)
part of the features they provide (Rebernik & Bradač, 2008).
2.3. Idea Nurturing in Organizations
Successful startups are all about turning ideas into action quickly and
efficiently. Taking action is the hard part. Entrepreneurs often come
with their ideas asking for help and input on the next steps. This
always seems strange, since the steps are the same for every business.
Launching a startup requires the willingness to fail and learn.
Avoiding failure is not a sign that you’re smart and being smart is not
about knowing all the answers; it’s about being able to find them.
While knowledge is about knowing the right answer, the intelligence
is about asking the right questions. Even though it's common for
startups to say that ideas mean nothing and execution is everything,
the reality is more nuanced. Even the world’s best entrepreneurs with
incredible execution will fail if their idea is fundamentally flawed, or
if the assumed market is too small (Mohout, 2015). It has been
repeatedly shown that groups are more effective in generating creative
solutions to unstructured (poorly understood) problems than
individuals. It is also clear that if the problem is structured (well
understood), then individuals do a better job of problem solving than
groups. (If you doubt this generality, consider the case of using a
committee to add a column of numbers a well-structured problem)
Thus, the fundamental reason for seeking creativity through a group
process is that the problem structure is ambiguous (Meredith &
Mantel, 1995). The burden of producing ideas is great. And it’s better
handled with the help of others than trying to fly solo. But too often,
people get hung up on the ownership of ideas. And this produces
narrow thinking that limits the source of ideas. And narrow thinking is
just as deadly to an idea as surface thinking. The truth is that if you’re
worried about whose idea it is, you’ll be left behind in the search for
an original idea. “I believe that great ideas are individual acts of
inspiration, but that great advertising programs result from a team
effort which builds upon an original idea and expands it” Keith
Reinhardt, former chairman of advertising behemoth DDB
Worldwide, said. There will certainly be ideas that are not as complete
or as well-thought out compared to others. It can be a painful process
to choose to leave behind ideas but it is a necessary part of the
process. Developing ideas is a process that requires choice. Ideas are
kinda like us when we wake up in the morning. They’re not really
themselves at first. Ideas are living things that are born. They grow
and reproduce. They adapt and respond, depending on the people that
rub up against them. Ideas are born into a cold, hard world with very
limited chances of survival. If we want our ideas to survive, thrive
even, there are specific steps to help them on their way (Heronime,
2007);
1.
2.
3.
4.
First of all, we have to make sure it’s really an idea. Make sure it’s really an
idea we believe in. If we want to be successful at defending or promoting our
idea, we need to have an intimate understanding of its essence. Examine it. Strip
it down to its bare essentials. What problem is it solving? What purpose does it
serve? What parts of the idea are necessary? Unnecessary? What makes it good?
What makes it dangerous? Helpful? What do we call it? Can its very name
explain everything about it? Know every aspect of the idea inside and out.
And then share it. We cannot afford to be cavalier about sharing ideas. Knowing
who to share our ideas with and when to share our ideas can drastically change
the fate of an idea. We have to involve others. We need a variety of perspectives
and opinions. We need to let an idea take on a life of its own separate from its
origin. When we include people that we trust, that we know have the
appropriate respect for the process of developing ideas, then we give our idea its
best chance to become great.
Finally, we need to be as objective about our idea as possible. The worst thing
that can happen is that we move forward with a half-baked idea and in the
process of trying to sell it to a client, it becomes an abortion. One of the best
approaches to gaining buy in to an idea is to help the party we want to influence
to arrive at the conclusion that our idea is really their idea. Talk about
commitment. Talk about emotional transaction. Now they’re not just members
of our idea club, they’re the president.
NOW MAKE IT A GREAT IDEA. The difference between good and great is a
harsh mile. We must now begin the arduous task of refining our idea for its final
implementation. Maybe the biggest mistake we make at this point comes out of
a fear of ruining our idea. Because good is our enemy. Ordinary and expected
won’t cut it. It’s a big job, executing ideas. Making them great. We shouldn’t
try it alone. There are always people who are inspired by ideas and ready to
throw themselves into the storm because they know they will achieve greatness
only when they accept risk.
Ideas are the key ingredient in the innovation process but without a
mechanism for managing them, it is difficult to prioritize innovation
efforts and to channel innovation activity into the areas it is needed
most. A classic form of these management programs is a suggestion
box (Deichmann, 2012). An ideas management system (IMS) is a
formal process by which ideas can be recorded, filtered and selected
for implementation. Idea management programs are based on
voluntary contributions of employees. Vandenbosch, Saatcioglu, and
Fay (2006) define idea management as “the process of recognizing the
need for ideas, and generating and evaluating them”. Idea
management schemes are considered under the umbrella of highperformance human resources practices that are aimed at achieving
organizational excellence through increasing employee involvement.
Employees who suggest ideas take a consultative role to management
on issues they consider important as well as where they possess more
information and expertise than their leaders. Idea management is a
structured process for the collection, handling, selection and
distribution of ideas. It may include support for gathering, storing,
improving, evaluating and prioritizing ideas by providing methods and
tools, such as templates and guidelines. Collaborative Idea
Management is a Driver of Continuous Innovation, it’s a way to
engage all the employees in your organization to drive innovation
(Karlsson, 2010). Collaboration is important not just because it's a
better way to learn. The spirit of collaboration is penetrating every
institution and all of our lives. To instill an engaged participants, the
organization has to reward participation. The reward mix has to be
strategically composed of both tangible and intangible awards to
attract participation from all areas of the workforce (Bank & Raza,
2014).
2.4. Shaping the Future Time
As discussed before, it seems before understanding the laws governing
the future time, we've gone into the application of scenarios to build
better stories for future.
Futures Studies (FS) or Foresight as its synonym is an
interdisciplinary new generation of scientific attitude includes
continuum from physical and biological issues to social and
humanities subjects with most focus on technology’s future and social
studies. Although some assume that FS is just a methodology, but
based on more than thousands projects that successfully have been
done in this field to represent a better understanding of future
situations and taking appropriate actions in the present (e.g., RAND
and Shell (Borch, Dingli, & Jørgensen, 2013, p. 143)), we can
demonstrate FS in 6 dimensions;
Futures Studies dimensions (Mahdeyan, 2017)
When various aspects of the concept of time’s geometry reflect on
multi-dimensional model of main features of futures studies, then the
time assumed like the farm, which based on the power of current
practices and vision orientation we can plant the past as a core
capabilities in order to produce the future;
Shaping the Future Time (Mahdeyan, 2017)
Today, human and social scientists are asking themselves whether
they should turn their sciences upside down and reshape them from
primarily past-oriented sciences to primarily future-oriented ones?
First and foremost, anticipation is a feature characterizing the behavior
of complex systems (Poli, 2015). Many biological and social systems
appear to increase their complexity in time. Natural selection offers a
mechanism for the evolution of intelligence, acting through the
environmental landscape (Complexity , 2015). By understanding the
processes at society, we may learn to design systems that maximize
beneficial outcomes and frustrate unwanted ones (Kallus, 2015). But
what governing natural selection? Is the World Floundering or Has
She a Vision (Natarajan, 2015) ?
In deeper investigation, history of communities or individuals raises
the question, why some societies have survived despite historical
events? Driving Force of Life makes a deal with external
environmental factors and help increase the life of the person or
society acts. This power to implement its function uses Gene pool.
Although the performance of Genes with respect to food, sports and
psychological factors can be increased, but the Gene pool itself can be
strengthened with the mixing of genes in human societies. Marriage
between two powerful sides can make people more resistant than
former relatives.
2.5. Scenario Planning
Scenario development is one of the most widely used tools and a
established method in futures research and foresight which is a
structured discourse about possible future developments in order to
plan strategic actions in the present (Kayser, 2015) (Minkkinen,
2015). Scenario Planning after a spectacular success at Royal
Dutch/Shell in the early 1970s, have been in commercial use for
several decades (McKiernan, 2015) (Kaner, 2003).
Scenarios are stories about the future, but their purpose is to make
better decisions in the present (Bentham, 2008). They are not
predictions. Nor are they strategies. Instead they are more like
hypotheses of different futures to highlight the risks and opportunities
(Schwartz & Ogilvy, 2004). Scenarios are “a tool for ordering one’s
perceptions about alternative future environments” said Schwartz
(1996) (Rhisiart, 2006). Scenario planning focuses on situations where
managers need to gain a better understanding of the external
environment and how different uncertainties interact together (Kunc &
O'Brien, 2015). Scenario exercises may have a range of tangible and
intangible benefits, for example in supporting strategic decisionmaking, setting priorities, challenging assumptions and promoting
learning (Rhisiart, 2015).
Figure 1 : Why we use Scenarios? (Tapinos, 2015) (Minkkinen, 2015)
(Hodgkinson & Healey, 2015) (Schwarz, 2015) (Önkal & Dhami, 2015)
(Vecchiato & Favato, 2015) (Scheele, 2015)
“Scenarios are not conceived of one at a time. You develop a range of
two or three possible futures, allowing you to address an array of
possibilities and rehearse your responses to each of them. At the same
time, more than four scenarios tend to be too complex: you cannot
keep track of their ramifications in your mind” said Schwartz
(Rhisiart, Scenario Building, 2006). The structure of using three
scenarios is highly debated. There is a clear tendency that using three
scenarios is a temptation to have a ‘best-case’, ‘worst case’, and
‘status quo’ structure to the scenario set. This approach requires little
thought, and is not likely to generate novel insights (Chermack T. J.,
2011). Many scenario users have followed the ‘scenario matrix’
approach. From here, the two chosen variables can be plotted on a 2 ×
2 matrix, thus generating four scenario structures (Chermack &
Coons, 2012).
Figure 2 : Think Scenarios: Four Is The Magic Number
Figure 3 : Four scenarios European social platform in 2050 by two critical
uncertainties (Hicks, 2012)
There is a wide variety of scenario methods (Minkkinen, 2015). In the
book entitled: Scenario Planning in Organizations: How to Create,
Use, and Assess Scenarios, Chermack (2011) based on real scenario
projects introduced a comprehensive five phase scenario planning
system.
A variety of techniques currently exist to help individuals and groups
generate scenarios. Three scenario-generation techniques commonly
that used in strategic intelligence analysis include; cone of plausibility,
simple scenarios, and individual brainstorming (Önkal & Dhami,
2015). Basically The Process of Scenario Creating include (Mason,
1999);
1.
2.
3.
4.
5.
Identify the focal issue or decision
Identify the driving forces
Predetermined elements
Critical uncertainties
Writing the scenarios
The decision of scenario practitioners on which factors to choose to
outline a complex problem for modeling purposes, is generally made
rather intuitively and cannot be solved satisfactory by common
scenario methods. Tools like PEST analysis, STEEP, PESTLED or
similar taxonomies, are widely applied in different research fields and
are meant to provide such guidance, however, often are considered to
be of limited use. To give practitioners alternative tools at hand, we
can use two conceptual tools to improve scenario factor definition and
selection in scenario construction processes (Prehofer, 2015);
I. In cases where ‘society’ is assumed to be the adequate scope of problem
consideration, like for energy system transitions, I propose to put social
system theory at the outset of the scenario study, for example, the ‘AGIL’
scheme by Talcott Parsons. Therewith, scenario practitioners should be
enabled to think out of the (current practice) box and think more
systematically and detailed about societal structures and relevant drivers.
II. In cases where the contextual environment of a specific object under
study needs to be taken into account, like the context of the energy
system, I propose to explicitly distinguish between context and focus
factors and integrate both in the scenario study. Applying the ‘contextfocus scheme’; guides and structures the selection and definition of
scenario factors for further analysis and enhances learning and
understanding for the object under study in its specific context. I
furthermore assume to facilitate linking a qualitative scenario with e.g. a
quantitative energy model.
Causal layered analysis (CLA) (Heinonen, Minkkinen, & Inayatullah,
2015), Real-Time Spatial Delphi (Zio & Lamelza, 2015), Reflective
practices of the Oxford Scenarios Programme (OSP) (Bhatti, 2015),
work on explicit theories of social change and stability (TOCS) at the
University of Hawaii at Manoa futures studies program (Lum, 2015),
Simulation modeling (Trujillo-Cabezas, 2015) are just some new
development of scenario planning. In addition research on human
perception and cognition, with an emphasis on visual perception of
objects, involves psychophysical experimentation and computational
modeling aimed at understanding how perceivers extract information
from their environment and derive representations of objects
(Kellman, 2015) has four advantages include (Duijne, 2015);
Visualization to speed up the thinking process, Open up sensory
modalities beyond our analytical reasoning, Visualization to make the
future tangible, Build an integral framework, combining pictures,
numbers and words.
2.6. Ideas Social Network (Global Brain)
The Global Brain can be defined as the self-organizing network
formed by all people on this planet together with the information and
communication technologies that connect and support them. It
increasingly links its users into a single information processing
system, which functions like a nervous system for the planet Earth.
The intelligence of this system is collective and distributed. Such a
distributed intelligence may be able to tackle current and emerging
global problems that have eluded more traditional approaches
(Elsevier, 2015). As Nikola Tesla (1926) describing a cell phone back
'When wireless is perfectly applied the whole earth will be converted
into a huge brain, which in fact it is, all things being particles of a real
and rhythmic whole" (Boevink, 2015) (Kennedy, 1926).
Understanding the collective intelligence that arises in schools, flocks
and swarms may yield solutions to many technological and social
challenges (Berdahl, 2015). Understanding how institutions affect
dynamics of beliefs and of norms could help us build more sustainable
societies (Dumas, 2015). Burt (2002) studied social structure to define
an advantage in creating good ideas, and people reproducing the social
structure as they discuss their ideas. Beyond the individual are
external factors, qualities of the social context around the individual
that constitute an advantage in generating good ideas. Studies instructs
more powerful social resources management that aims to activate the
right type of relationships in ever-changing networks and thereby
trigger creativity in employees without exhausting their potential.
Opening up the innovation agenda to more people could stimulate the
formation of new relationships and hence a new inflow of knowledge
into an idea network (Deichmann, 2012).
In recent years discussions about social trends or desirable and
possible futures have increasingly been taking place in the so-called
social media. Many users do not merely consume content, they also
debate, rate and create content for the general public. With access to
this content new perspectives are opened up for scenario
methodology. Weblogs may not only be used as a monitoring
instrument for scenario studies but can also serve as a source of
inspiration during the creation of such studies. Researchers who intend
to use weblogs may challenged to identify high quality blogs and
distinguish between content replicated from other sources and original
content (Moehrle, 2015). Foresight crowdsourcing often focusses on
identifying trends and weak signals of change via internet-based
platforms. Crowdsourcing scenarios presents a greater challenge,
requiring synthesis of plausible and coherent narratives describing
alternative futures (Schultz, 2015). There is an awful lot of
information in the world (Oppenheimer, 2015). Social networks,
website traffic, cellphone usage data, academic collaboration
networks, health records, power grids, and observations of ecosystem
food webs yield abundant data, and promise great insights into the
patterns of interaction they record. The insights that stands to gain
from understanding big data brings powerful theory and algorithms to
bear on datasets in ecology, economics and anthropology etc. (Big
Data, 2015). Humans often paradoxically succeed in making
inferences from inadequate data. How can an intelligent system cope?
(Lu, 2015).
However, the epistemic value of big data for foresight should be
evaluated. For example by social media we can use Twitter in scenario
development and applies web and text mining. Twitter as widely used
social media platform covers a broad spectrum of content that might
be used as information base for the scenario process. Text mining
delivers a fast overview on aspects describing the scenario field to
capture the topic and derive influence areas and factors (Kayser,
2015). Scenario planning is a tool which captures multiple futures that
an organization may face. The scenario planning process is often
participative and conducted in a facilitated workshop setting, requiring
people to be physically present in order to participate. A variety of
social media exist which allow people to interact with each other
virtually, and in real time. Media, and in particular Twitter, have a
potential to be used to facilitate and encourage engagement with
workshops, beyond those physically attending the workshop. In future
social media can be used for several purposes; as well as supporting
wider engagement in the project itself, it can facilitate communication
between interested activists (Meadows & O’Brien, 2015).
4. Conclusion
As you can see, Conceptual Model that have been emerged from
investigation the Origin of Future Scenario's Idea, shows basic
fundamental of Future Scenarios. Scenarios are just stories about what
if. This paper efforts was focused on how we can improve scenario
planning ability? To this regards this paper explained what actually
should be done to have good scenarios.
Based on Copy Principle our brain gets ideas from Environmental
Experiences and Dreams, these inputs could trigger innate ideas which
stored in our genome base. They can understand via mental map
shaped by past experiences and future visions. The process of
understanding begins with making information from data to get
wisdom as well as described in Knowledge Management. Here, there
is two ways to follow; one by individual efforts, given that good idea
needs social discussion, if we can assume that there is just one person
at one island, so this person will not be able to make a word for
talking! This person only could copy what observe in the wild nature
and make a little change in them. So we should focus on the second
way that is based on society network which today by internet facilities
we are going to have a Global Brain. Personal intelligence techniques
can help us to use the best social advantages. Working with others
needs Group Creativity techniques. We need to get benefits from
others because individual thinking process takes too much time, so by
sharing problems we can reduce time’s cost and improve quality.
Nurturing ideas via organization needs to social network in order to
facilitate thinking in decoding problem’s structures as well as experts
should think outside their field box. Then by causality our brain
blends this inputs by categorizing and based on future time’s structure,
new ideas comes by intuition as Future Scenarios.
In Scenario planning we are going to solve future ambiguity by what
if, similar to other creative problem-solving techniques that trying to
make decisions about current issues. Actually this techniques similarly
trying to take actions in the present to make better futures.
There is also a question that from where this process could begin?
Innate sense of perfection, force us to take action on the present to
have better futures. This comes from differences between human and
other creation in natural environment, which is related to time oriented
structure of our mind for understanding concurrent causality and chain
of events. Here we can indicate that more awareness on time makes
more power to create future. This emphasizes the power of vision in
top people. Hence we can identify the origin of human authority to
change the world from inside the absolute structure of time, because
the time acceptance in phenomena is comparative.
In this research we tried to provide some theoretical evidence from
literature discussion to make a conceptual model in order to benefit an
applied science entitled scenario planning. This success can open
players’ minds to make better futures.
For further researches we can work on answering questions include;
1. How Global Brain could benefit problem solving by gathering
different people’s collaboration on the specific issues?
2. How Cognitive Science strategies could benefit scenario
planning by reshaping mental models?
3. How we could make some developments in brain performance
by biotechnology, genome enrichment, food and exercises, etc.
to benefit next generation even present people?
And studying;
1. Futures Studies (Foresight) Science and discussing how is the
creation' structure of Future Times.
2. Future Scenarios of the World's Mega Trends that will affect
human life in different aspects.
In future we hope some other scholars via this studies introduce the
Business Forecasting Model of Future Scenario's Idea by reflective
practices of real done projects that can help individuals alone and in
groups to learn by doing.
Conceptual Model of the Origin of Future Scenario's Idea
Experiences from
Environment
Genetic base of
innate ideas
Dreams outside the
physical nature
Copy
Principle
Group Perception via
Network Collaboration
Cognitive Map of Brain based
on Past Experiences and Future
Visions
Individual Structural
Perception by Effort
Personal
Intelligence
Global Brain
Categories
Blending by
CAUSALITY
Enthusiasm to Solve
Present Problem
Innate Sense of
Perfection
New Idea
Intuition
(Future Scenarios)
The power of act in the
present based on past
potential and future vision
New Futures
5. References
Antoni, E., Canal, F., Cardama, A., & Coderch, M. (2015). Critical
Thinking and Creativity. Retrieved from MASTER'S
DEGREE IN TELECOMMUNICATIONS ENGINEERING
(Syllabus 2013): Department of Signal Theory and
Communications
Bank, J., & Raza, A. (2014, February). Collaborative Idea
Management: A Driver of Continuous Innovation. Technology
Innovation Management Review, 11-16.
Bentham, J. B. (2008). Scenarios: An Explorer's Guide. Shell
International BV.
Berdahl, A. (2015). collective behavior . Retrieved from
berdahl@santafe.edu
Bhatti, Y. (2015). Using Live Cases to Learn Scenario Planning.
Improving Scenario Methodology: Theory and Practice.
Warwick Business School UK.
Big Data. (2015). Retrieved from Social networks, big data, and
physics-powered inference:
http://www.santafe.edu/research/networks-data/detail/
Boevink, M. (2015). Retrieved from Oxford, United Kingdom:
linkedin.com
Borch, K., Dingli, S. M., & Jørgensen, M. S. (2013). Participation
and Interaction in Foresight: Dialogue, Dissemination and
Visions. Edward Elgar Publishing.
Burt, R. (2002). Social Origins of Good Ideas. University of Chicago.
Cheng, P. (2015). REASONING LAB. Retrieved from
reasoninglab.psych.ucla.edu
Chermack , T. J. (2011). Scenario Planning in Organizations: How to
Create, Use, and Assess Scenarios. Berrett-Koehler
Organizational Performance.
Chermack, T., & Coons, L. (2012). Exploring the arts of crafting and
delivering scenarios. Int. J. Technology Intelligence and
Planning, 8(3), 233-253.
Complexity . (2015). Retrieved from Information, thermodynamics,
and the evolution of complexity in biological systems:
http://www.santafe.edu/research/ecosystemssocialsystems/detail/
Concise Oxford English Dictionary. (2011). Oxford Dictionaries.
Deichmann, D. (2012). Idea Management Perspectives from
Leadership, Learning, and Network Theory. Erasmus
University Rotterdam.
Duijne, F. v. (2015, October 16). Four advantages of using
visualization in foresight. Retrieved from
https://www.linkedin.com
Dumas, M. (2015). social behavior. Retrieved from
marion@santafe.edu
Eerola, A., & Jørgensen, B. (2002). Technology Foresight in the
Nordic Countries. Denmark: Risø National Laboratory,
Roskilde.
Elsevier. (2015). Retrieved from The Global Brain: A Model of the
Future Information Society: elsevier.com
Heinonen, S., Minkkinen, M., & Inayatullah, S. (2015). Testing
Transformative Energy Scenarios through CLA gaming.
Scenario 2015, Improving Scenario Methodology: Theory &
Practice. Warwick Business School UK.
Heronime, M. (2007). THE EXECUTION OF AN IDEA. Numantra.
Hicks, C. (2012). SPREAD Sustainable Lifestyles 2050. Wuppertal.
Germany: UNEP/Wuppertal Institute Collaborating Centre on
Sustainable Consumption and Production (CSCP).
Hodgkinson, G., & Healey, M. (2015). Exploring the Social, Political
and Cognitive Dynamics of Scenario Planning Interventions:
A Critical Incident Study. Scenario 2015, Improving Scenario
Methodology: Theory & Practice. Warwick Business School
UK.
Holyoak, K. (2015). Cognitive Psychology. Retrieved from
holyoak@psych.ucla.edu
Jacovides, M. (2003). Locke’s Construction of the Idea of Power.
Elsevier.
Johnson, S. (2013, 10 30). Steven Johnson: Where good ideas come
from. Retrieved from http://tedsummaries.com
Kallus, Y. (2015). Retrieved from
http://www.santafe.edu/about/people/group/omidyar-fellow
Kaner, C. (2003). An Introduction to Scenario Testing. Florida Tech.
Karlsson, M. (2010). COLLABORATIVE IDEA MANAGEMENT.
APPLIED INNOVATION MANAGEMENT(1).
Kayser, V. (2015). Web-based Scenario Development: Process
Improvements. Scenario 2015, Improving Scenario
Methodology: Theory & Practice. Warwick Business School
UK.
Keenan, M. (2007). Combining Foresight Methods for Impacts. 3rd
International Conference on Foresight. Tokyo.
Kellman, P. (2015). Cognitive Psychology. Retrieved from
Applications of Perceptual and Adaptive Learning to Learning
Technology: kellman@psych.ucla.edu
Kennedy, J. (1926). WHEN WOMAN IS BOSS (An interview with
Nikola Tesla). Colliers, tfcbooks.com.
Kunc, M., & O'Brien, F. (2015). Integrating Scenarios with the
Resource-based View of the Firm: An Exploratory Study.
Scenario 2015, Improving Scenario Methodology: Theory &
Practice. Warwick Business School UK.
Lacewing, M. (2015). Innate ideas.
enquiries@alevelphilosophy.co.uk.
Liu, Z. (2015). Cognitive Psychology. Retrieved from Associate
Professor in UCLA College: zili@psych.ucla.edu
Lu, H. (2015). The Computational Vision and Learning (CVL) Lab.
Retrieved from http://cvl.psych.ucla.edu/index.htm
Lum, R. (2015). Theory-driven Scenario Development: Using
Theories of Change and Stability to Anchor and Differentiate
Alternative Futures. Scenario 2015, Improving Scenario
Methodology: Theory & Practice. Warwick Business School
Uk.
Mahdeyan, A. (2012). Measures and economic dimensions of
Knowledge Management. Report. (In Persian).
Mahdeyan, A. (2017). Ontological analysis of the time concept and
designing a theoretical model of its. Journal of
Interdisciplinary Studies of strategic knowledge, Supreme
National Defense University, Teh, IR. (In Persian).
Mason, M. (1999). Future Scenarios: The Art of Storytelling.
Retrieved from moyak.com
McClelland, J. (2010). Emergence in Cognitive Science. Topics in
Cognitive Science, 2, 751–770.
McDowall, W., & Hughes, N. (2015). Exploring Constructive Conflict
in Scenario Development. Scenario 2015, Improving Scenario
Methodology: Theory & Practice. Warwick Business School
UK.
McKiernan, P. (2015). Scenario Planning and its Future: what’s
missing and does it matter? Improving Scenario Methodology:
Theory and Practice. Warwick Business School in
collaboration with the British Academy of Management and
the Operational Research Society UK.
Meadows, M., & O’Brien, F. (2015). Reflecting on the use of social
media within a scenario planning project. Scenario 2015,
Improving Scenario Methodology: Theory & Practice.
Warwick Business School UK.
Meredith, J., & Mantel, S. (1995). Creativity and Idea Generation.
University of Cincinnati.
Mietzner, D. (2015). Anticipation and Visualisation of Regional
Developments – How Scenarios can be Supportive in Strategic
Decision Making. Scenario 2015, Improving Scenario
Methodology: Theory & Practice. Warwick Business School
UK.
Millican, P. (2011). Hume’s Central Principles. Hertford College,
Oxford.
Minkkinen, M. (2015). Process Tracing as a Basis for Issue-based
Scenarios: The Case of the General Data Protection
Regulation. Scenario 2015, Improving Scenario Methodology:
Theory & Practice. Warwick Business School UK.
Moehrle, M. (2015). What Weblogs Reveal about Qualitative Key
Factors in Scenario Studies. Scenario 2015, Improving
Scenario Methodology: Theory & Practice. Warwick Business
School UK.
Mohout, O. (2015). Genesis: Idea Stage. slideshare.
Natarajan, A. (2015, April). Is the World Floundering or Has She a
Vision? CADMUS, 2(4), 48-56.
Önkal, D., & Dhami, M. (2015). Testing the Effectiveness of Scenario
Generating Techniques: Forecasting Outcomes of the Refugee
Crisis. Scenario 2015, Improving Scenario Methodology:
Theory & Practice. Warwick Business School UK.
Oppenheimer, D. (2015). Cognitive Psychology. Retrieved from
Associate Professor in UCLA College:
daniel.oppenheimer@anderson.ucla.edu
Oxford Scenarios Programme. (2015). Retrieved from
http://www.sbs.ox.ac.uk/programmes/execed/scenarios
Poli, R. (2015). The Three Levels of Futures Studies: Forecast,
Foresight and Anticipation. Retrieved from UNESCO Chair in
Anticipatory Systems, University of Trento:
roberto.poli@unitn.it
Popper, R. (2008). Foresight Methodology. Bonn, Germany: The
Univercity of Manchester.
Prehofer, S. (2015). Theory-based and (more) Systematic Scenario
Factor Definition and Selection. Scenario 2015, Improving
Scenario Methodology: Theory & Practice. Warwick Business
School UK.
Rebernik, M., & Bradač, B. (2008). Idea evaluation methods and
techniques. Retrieved from http://www.creativetrainer.eu/fileadmin/template/download/module_idea_evaluati
on_final.pdf
Rhisiart, M. (2006). Scenario Building. Cardiff Business School.
Rhisiart, M. (2015). From Foresight to Impact? The 2030 Future
ofWork Scenarios. Scenario 2015, Improving Scenario
Methodology: Theory & Practice. Warwick Business School
UK.
Scheele, R. (2015). Rethinking Plausibility: Empirically Analysing
External Judgments on Different Qualitative Scenario Formats.
Scenario 2015, Improving Scenario Methodology: Theory &
Practice. Warwick Business School UK.
Schultz, W. (2015). Stitching Scenarios from Distributed Fragments: a
Crowdsourced Approach to Scenario-building. Scenario 2015,
Improving Scenario Methodology: Theory & Practice.
Warwick Business School UK.
Schwartz, P., & Ogilvy, J. (2004). Plotting Your Scenarios. GBN
Global Business Network.
Schwarz, J. O. (2015). Adding the Competitive Dimension to Scenario
Planning: Combining Scenarios with BusinessWar Gaming.
Scenario 2015, Improving Scenario Methodology: Theory &
Practice. Warwick Business School UK.
Sloane, P. (2010). What is the Difference Between Innovation and
Creativity? . Retrieved from
http://www.innovationexcellence.com
Smith, S., Ward, T., & Finke, R. (1995). Paradoxes, principles, and
prospects for the future of creative cognition. In The creative
cognition approach. Cambridge.
Tapinos, E. (2015). Sensemaking in Scenario Planning. Scenario
2015, Improving Scenario Methodology: Theory & Practice.
Warwick Business School UK.
Trujillo-Cabezas, R. (2015). Using Hybrid Simulation Approach to
Develop a Regional Behavioral Analysis (RBA) Framework to
Improve the Scenario Design Methodology. Scenario 2015,
Improving Scenario Methodology: Theory & Practice.
Warwick Business School UK.
Turner, M. (2015). The Origin of Ideas: Blending, Creativity, and the
Human Spark. Oxford University Press.
Vecchiato, R., & Favato, G. (2015). Embedding Real Options in
Scenario Planning: A New Methodological Approach.
Scenario 2015, Improving Scenario Methodology: Theory &
Practice. Warwick Business School UK.
Zio, S., & Lamelza, L. (2015). The Real-Time Spatial Delphi: Fast
Convergence of Expert Opinions on the Territory. Scenario
2015, Improving Scenario Methodology: Theory & Practice.
Warwick Business School UK.